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<art>
   <ui>1475-9276-7-12</ui>
   <ji>1475-9276</ji>
   <fm>
      <dochead>Research</dochead>
      <bibl>
         <title>
            <p>What impact do prescription drug charges have on efficiency and equity? Evidence from high-income countries</p>
         </title>
         <aug>
            <au id="A1" ca="yes">
               <snm>Gemmill</snm>
               <mi>C</mi>
               <fnm>Marin</fnm>
               <insr iid="I1"/>
               <email>M.C.Gemmill@lse.ac.uk</email>
            </au>
            <au id="A2">
               <snm>Thomson</snm>
               <fnm>Sarah</fnm>
               <insr iid="I1"/>
               <email>S.Thomson@lse.ac.uk</email>
            </au>
            <au id="A3">
               <snm>Mossialos</snm>
               <fnm>Elias</fnm>
               <insr iid="I1"/>
               <email>E.A.Mossialos@lse.ac.uk</email>
            </au>
         </aug>
         <insg>
            <ins id="I1">
               <p>LSE Health, London School of Economics and Political Science, Houghton Street, London, WC2A 2AE, UK</p>
            </ins>
         </insg>
         <source>International Journal for Equity in Health</source>
         <issn>1475-9276</issn>
         <pubdate>2008</pubdate>
         <volume>7</volume>
         <issue>1</issue>
         <fpage>12</fpage>
         <url>http://www.equityhealthj.com/content/7/1/12</url>
         <xrefbib>
            <pubidlist>
               <pubid idtype="pmpid">18454849</pubid>
               <pubid idtype="doi">10.1186/1475-9276-7-12</pubid>
            </pubidlist>
         </xrefbib>
      </bibl>
      <history>
         <rec>
            <date>
               <day>07</day>
               <month>12</month>
               <year>2006</year>
            </date>
         </rec>
         <acc>
            <date>
               <day>02</day>
               <month>5</month>
               <year>2008</year>
            </date>
         </acc>
         <pub>
            <date>
               <day>02</day>
               <month>5</month>
               <year>2008</year>
            </date>
         </pub>
      </history>
      <cpyrt>
         <year>2008</year>
         <collab>Gemmill et al; licensee BioMed Central Ltd.</collab>
         <note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note>
      </cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <p>As pharmaceutical expenditure continues to rise, third-party payers in most high-income countries have increasingly shifted the burden of payment for prescription drugs to patients. A large body of literature has examined the relationship between prescription charges and outcomes such as expenditure, use, and health, but few reviews explicitly link cost sharing for prescription drugs to efficiency and equity. This article reviews 173 studies from 15 high-income countries and discusses their implications for important issues sometimes ignored in the literature; in particular, the extent to which prescription charges contain health care costs and enhance efficiency without lowering equity of access to care.</p>
         </sec>
      </abs>
   </fm>
   <meta>
      <classifications>
         <classification type="bmc" subtype="user_supplied_xml" id="endnote"/>
      </classifications>
   </meta>
   <bdy>
      <sec>
         <st>
            <p>1. Background</p>
         </st>
         <p>The notion that user charges improve efficiency is regarded by some as self-evident. Not only do user charges reduce the welfare loss caused by full insurance, but they also help to contain health care costs, encourage patients to choose more cost-effective forms of care, and are a valuable source of revenue for the health system. Yet there is growing evidence to suggest that the reverse might be true. Although user charges consistently lower health care use and, if carefully designed, can steer patients towards cost-effective care, they do not lead to long-term control of pharmaceutical spending and seem unlikely to contain total expenditure on health (not least because they can threaten patients' health). In spite of research suggesting that user charges are unlikely to contribute to health policy goals such as efficiency and equity, all OECD countries charge patients for some health services, most commonly for prescription drugs. The universal application of prescription drug charges in OECD countries may reflect anxiety about the rapid growth of pharmaceutical budgets <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>, although many of these countries applied prescription drug charges before rising drug budgets became a pressing policy matter. Table <tblr tid="T1">1</tblr> gives details of different forms of prescription drug charges.</p>
         <tbl id="T1">
            <title>
               <p>Table 1</p>
            </title>
            <caption>
               <p>Direct and indirect forms of prescription drug charges and their incentives</p>
            </caption>
            <tblbdy cols="3">
               <r>
                  <c ca="left">
                     <p>
                        <b>Form</b>
                     </p>
                  </c>
                  <c ca="left">
                     <p>
                        <b>Definition</b>
                     </p>
                  </c>
                  <c ca="left">
                     <p>
                        <b>Patient incentives</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c cspan="3">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>
                        <b>Direct</b>
                     </p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c indent="1" ca="left">
                     <p>Co-payment</p>
                  </c>
                  <c ca="left">
                     <p>The user pays a fixed fee (flat rate) per item or service.</p>
                  </c>
                  <c ca="left">
                     <p>The patient may decrease the volume of drugs consumed or may decrease the number of prescriptions filled while increasing the size of each prescription. The patient has no incentive to consume cheaper drugs unless co-payments are lower for these drugs.</p>
                  </c>
               </r>
               <r>
                  <c indent="1" ca="left">
                     <p>Co-insurance</p>
                  </c>
                  <c ca="left">
                     <p>The user pays a fixed proportion of the total cost, with the insurer paying the remaining proportion.</p>
                  </c>
                  <c ca="left">
                     <p>The patient may decrease the volume of drugs consumed and may only request a larger pack size if this produces savings. The patient has an incentive to consume cheaper therapeutic medications.</p>
                  </c>
               </r>
               <r>
                  <c indent="1" ca="left">
                     <p>Deductible</p>
                  </c>
                  <c ca="left">
                     <p>The user bears a fixed quantity of the costs, with any excess borne by the insurer; deductibles can apply to specific cases or to a period of time.</p>
                  </c>
                  <c ca="left">
                     <p>When patients are not close to the deductible level, they may decrease the volume of drugs consumed and/or switch to cheaper therapeutic alternatives. As they near the deductible limit, they have an incentive to consume more drugs and more expensive drugs to push themselves over the deductible.</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>
                        <b>Indirect</b>
                     </p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c indent="1" ca="left">
                     <p>Reference pricing (RP)</p>
                  </c>
                  <c ca="left">
                     <p>A reference price refers to the maximum price for a group of equal or similar drugs that the insurer will reimburse the user. If the user chooses a drug that costs more than the reference price, he or she must pay the difference.</p>
                  </c>
                  <c ca="left">
                     <p>The patient is likely to decrease his or her consumption of drugs that are priced above the reference price and switch to alternative drugs priced at or below the reference price.</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>
                        <b>Differential charges</b>
                     </p>
                  </c>
                  <c>
                     <p/>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c indent="1" ca="left">
                     <p>Multi-tier formularies</p>
                  </c>
                  <c ca="left">
                     <p>Typically, these contain two or three tiers. The first tier consists of generic drugs, which have the lowest co-payment. The second and third tiers generally comprise brand-name drugs, which can be split into preferred and non-preferred drugs (where non-preferred drugs are the most expensive in the tier). Multi-tier formularies are most commonly used in the United States.</p>
                  </c>
                  <c ca="left">
                     <p>The patient has an incentive to switch from brand-name medications to generic medications and from non-preferred medications to preferred medications.</p>
                  </c>
               </r>
            </tblbdy>
         </tbl>
         <p>This article reviews the literature on user charges for prescription drugs in high-income OECD countries with a view to assessing their impact on efficiency and equity. The substantial body of literature on prescription drug charges already includes several reviews. However, the remit of most of these reviews is constrained by a focus on, for example, specific populations <abbrgrp><abbr bid="B2">2</abbr><abbr bid="B3">3</abbr><abbr bid="B4">4</abbr></abbrgrp>; a sub-set of the literature such as studies from the United States, the United Kingdom, and/or Canada <abbrgrp><abbr bid="B5">5</abbr><abbr bid="B6">6</abbr><abbr bid="B7">7</abbr><abbr bid="B8">8</abbr><abbr bid="B9">9</abbr></abbrgrp>; specific forms of prescription drug charges such as reference pricing <abbrgrp><abbr bid="B10">10</abbr><abbr bid="B11">11</abbr></abbrgrp> and tiered formularies <abbrgrp><abbr bid="B12">12</abbr></abbrgrp>; or the main articles in the area <abbrgrp><abbr bid="B7">7</abbr><abbr bid="B13">13</abbr><abbr bid="B14">14</abbr><abbr bid="B15">15</abbr><abbr bid="B16">16</abbr></abbrgrp>. We add to existing reviews by covering studies carried out in a wider range of high-income countries and reviewing papers published in languages other than English. We also go beyond them in attempting to assess the relationship between prescription drug charges, efficiency, and equity. The article begins with a brief overview of economic and policy arguments in favour of user charges. It then describes the methods we used to identify relevant literature and notes some of the limitations of our approach. After reviewing the literature, we conclude with a discussion of policy implications.</p>
      </sec>
      <sec>
         <st>
            <p>2. How can user charges improve efficiency?</p>
         </st>
         <p>Before reviewing the literature, we outline some key economic and policy arguments in favour of user charges as a means of improving efficiency. Understanding these arguments may help to explain why user charges continue to be advocated, even when there is substantial evidence of their potentially detrimental effect on both efficiency and equity. We also define what we mean by efficiency and equity.</p>
         <sec>
            <st>
               <p>Willingness to pay and welfare loss</p>
            </st>
            <p>Economic arguments in favour of user charges are based on the concept of allocative efficiency, which deems resources to be efficiently allocated when people are willing to pay for a commodity at a price that reflects the marginal cost of producing the commodity <abbrgrp><abbr bid="B17">17</abbr></abbrgrp>. This has two ramifications. First, only those who are willing to pay should have access to a particular commodity. Second, providing a harmful or ineffective commodity to those willing to pay for it is efficient, whereas providing an effective and beneficial commodity to those unable to pay for it is inefficient. For example, if the presence of health insurance means that health care is free at the point of use, the consumption of health care will not reflect the marginal costs of its production, leading to welfare loss since scarce resources might be better spent on producing and consuming other commodities <abbrgrp><abbr bid="B18">18</abbr></abbrgrp>. User charges redress this loss by reinstating price: those willing to pay the price may use health care, those unable to pay must do without. From an economic perspective, any reduction in the use of health care following the introduction of user charges contributes to allocative efficiency, regardless of the distributional or health consequences.</p>
            <p>We might ask what relevance allocative efficiency has for policy making in health care. If it is to be understood as a normative concept, then we must assume either that the distributional and health consequences are of no importance or, if they are important, that all individuals in a given society share the same level of income, the same tastes and preferences, and the same risk of ill health, etc. <abbrgrp><abbr bid="B17">17</abbr><abbr bid="B19">19</abbr></abbrgrp>. But neither assumption reflects reality. Policy makers in all OECD countries show demonstrable concern for population health and equity of access to health care, albeit to varying degrees, while the people living in these countries experience different levels of income and health. We therefore prefer to use a definition of efficiency that explicitly refers to the external criterion of health improvement. Under this definition, an efficient allocation of health care resources would be one that maximises health gain, where health gain is measured in a standardised manner (for example, through quality-adjusted life years) <abbrgrp><abbr bid="B20">20</abbr></abbrgrp>. For equity, we consider two dimensions. Equity in finance requires richer people to pay more for health care, as a proportion of their income, than poorer people <abbrgrp><abbr bid="B21">21</abbr></abbrgrp>. Equity of access to health care implies access to health care based on need rather than ability to pay. Because equity of access is difficult to measure, most studies employ equal use of health care as a proxy for equal access, as we do in our concluding discussion.</p>
         </sec>
         <sec>
            <st>
               <p>Containing health care costs</p>
            </st>
            <p>Economic theory would consider any reduction in use attributed to user charges as an improvement in allocative efficiency, regardless of the value or effectiveness of the health services foregone. However, many non-economists assume that, faced with user charges, rational consumers will forego the health services of least benefit to them (certainly those that are potentially harmful and perhaps those that are less effective). In this way, they argue, reduced use will not adversely affect health, but will help to contain costs and make health care more effective. Does this assumption hold? If patients do not have sufficient information to make rational choices, they may forego or delay useful treatment, perhaps damaging their health and leading to greater expenditure at a later date. Conversely, patients may turn to free (but more resource-intensive) forms of health care to avoid paying charges. The result might be higher rather than lower health care costs.</p>
         </sec>
         <sec>
            <st>
               <p>Improving efficiency by raising revenue</p>
            </st>
            <p>User charges can raise revenue for the health system if they are set low enough not to deter significant amounts of use. This policy argument is more prevalent in low-income countries, where public resources for health care may be severely limited or non-existent. Under such circumstances, drawing on private resources to ensure an adequate supply of drugs, for example, could lead to health improvement, particularly if poorer people are exempt from user charges. In high-income countries it is hard to see how private finance could be more efficient (in contributing to health improvement) than public finance. Unless user charges exempt high users of health care, they are really a form of tax on people in poor health.</p>
         </sec>
         <sec>
            <st>
               <p>Concern for efficiency or concern for third party payer budgets?</p>
            </st>
            <p>Which of these arguments in favour of user charges seems most convincing in the case of prescription drug charges? Applying the allocative efficiency argument to a form of health care that requires a doctor's prescription only underlines its irrelevance to health policy. The focus on patient use seems misplaced when it is doctors who make the decision to prescribe drugs. If charges are not applied across all health services, the use of substitutes for prescription drugs (often emergency care) may increase costs. This leaves the revenue-raising argument, which, as we have noted, is barely plausible in high-income countries. Is it possible, then, that the real reason third party payers impose prescription drug charges is to contain their own budgets by shifting costs to patients? And is this why so many countries exempt particular groups of people from paying prescription drug charges, in the hope that cost shifting will not adversely affect health? By studying policy outcomes, we may be able to provide an indirect answer to these and other questions.</p>
         </sec>
      </sec>
      <sec>
         <st>
            <p>3. Methods and limitations</p>
         </st>
         <p>We used existing literature reviews as the basis for our search, electronically tracing them forward in time by looking for studies that cited the articles we collected. We also searched the Internet and databases such as PubMed, EconLit, Blackwell's Synergy and Ingenta using combinations of the keywords shown in Table <tblr tid="T2">2</tblr>. In-country experts helped to identify some of the papers in languages other than English, which were then translated by colleagues. To enhance comparability we limited our search to articles focusing on high-income OECD members (Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Japan, Republic of Korea, Luxembourg, the Netherlands, New Zealand, Norway, Portugal, Spain, Sweden, Switzerland, the United Kingdom and the United States). We included any study that assessed the impact of any form of cost sharing for prescription drugs, including reference pricing, as well as studies that analyzed the impact of insurance coverage on prescription drug use. We did not include review articles or articles published after 2006.</p>
         <tbl id="T2">
            <title>
               <p>Table 2</p>
            </title>
            <caption>
               <p>Keywords used to search for literature</p>
            </caption>
            <tblbdy cols="2">
               <r>
                  <c ca="left">
                     <p>
                        <b>Main keyword</b>
                     </p>
                  </c>
                  <c ca="left">
                     <p>
                        <b>Combined with these keywords</b>
                     </p>
                  </c>
               </r>
               <r>
                  <c cspan="2">
                     <hr/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>cost sharing</p>
                  </c>
                  <c ca="left">
                     <p>health</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>user charges</p>
                  </c>
                  <c ca="left">
                     <p>prescription drugs</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>user fees</p>
                  </c>
                  <c ca="left">
                     <p>medical care</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>co-payments</p>
                  </c>
                  <c ca="left">
                     <p>medical services</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>co-insurance</p>
                  </c>
                  <c ca="left">
                     <p>utilization</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>deductibles</p>
                  </c>
                  <c ca="left">
                     <p>access</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>reference pricing</p>
                  </c>
                  <c ca="left">
                     <p>compliance</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>insurance</p>
                  </c>
                  <c ca="left">
                     <p>adherence</p>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>insurance coverage</p>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
               <r>
                  <c ca="left">
                     <p>reimbursement</p>
                  </c>
                  <c>
                     <p/>
                  </c>
               </r>
            </tblbdy>
         </tbl>
         <p>The review covers 173 articles (from 15 countries), 17 of which are in languages other than English. The most common country studied is the United States (US) and the most commonly-used US datasets are the Medicare Current Beneficiary Survey, the National Medical Expenditure Survey, the RAND Health Insurance Experiment, Medicaid claims data, and other administrative claims datasets. Most non-US studies also use data from administrative claims or national surveys.</p>
         <p>We use tables to summarise our main findings and cite references, using the text for more detailed discussion. As a measure of quality, the tables specify the type of study carried out, the type of data analyzed, and the techniques used for analysis. Some studies are experimental (ES), some are based on a natural experiment (NS), and others are observational (OS). Data analysis is cross-sectional (CD), time-series (TD), or panel (time-series, cross-sectional) (PD). As most researchers used large datasets, we do not include information on sample size. The majority of studies used regression techniques to analyze data (R), but some reported descriptive statistics alone (NR). We do not go beyond this in assessing the quality of the research we review, mainly because efforts to determine the most appropriate method of analysis for each study depend on the study's objectives and sample characteristics.</p>
         <p>A number of limitations are worth highlighting. No dataset is perfect. Analyses based on cross-sectional data may suffer from omitted variable bias (failure to account for explanatory variables), which can lead to biased coefficients and standard errors in the regressions <abbrgrp><abbr bid="B22">22</abbr></abbrgrp>. The statistical methods used can also affect the quality of the results. For example, endogeneity may be an issue if individuals who are more likely to purchase insurance are also more likely to increase their consumption of prescription drugs once they have insurance, leading to biased and inconsistent estimates as well as invalid statistical tests <abbrgrp><abbr bid="B22">22</abbr></abbrgrp>. Sample selection may be an issue where the dependent variable is only observed for a restricted, non-random sample. Regression estimates that do not account for sample selection will be biased because the researcher is unable to determine whether non-consumption is due to an individual not needing a prescription or due to an individual choosing not to purchase a prescription. Finally, few studies are able to determine whether dosage size changes in response to a price change, while few datasets give researchers insight into how doctors ease a patient's out-of-pocket burden or how cost sharing affects adherence to treatment.</p>
      </sec>
      <sec>
         <st>
            <p>4. The literature on prescription drug charges</p>
         </st>
         <p>We ask a range of policy questions relating to expenditure, use, and health to structure our review and to pave the way for discussion of the impact of prescription drug charges on efficiency and equity. First, we ask whether prescription drug charges affect expenditure on prescription drugs. If there is no effect on total prescription drug expenditure, then we conclude that prescription drug charges result in cost shifting from publicly or privately pooled pre-payment to patient payment at the point of use. This has clear implications for equity in finance and equity of access to care. Second, where there is some reduction in total expenditure on prescription drugs, we ask whether this is matched by any reduction in total health care expenditure or partially or wholly offset by increases in other health care costs. Third, we investigate whether reductions in prescription drug expenditure are caused by reductions in price or quantity. In the case of price, we ask whether the prescription drug charges were designed to encourage patients to choose lower-cost alternatives (for example, through reference pricing or tiered co-payments). In the case of quantity, we ask which patients are most likely to forego drugs and which drugs are most likely to be foregone. Finally, we consider the likely impact of prescription drug charges on health.</p>
         <sec>
            <st>
               <p>4.1. How do prescription drug charges affect expenditure on prescription drugs?</p>
            </st>
            <p>In this section we consider two types of expenditure: total prescription drug expenditure and patients' out-of-pocket expenditure. If patients are not particularly sensitive to changes in the price of prescription drugs, introducing or increasing user charges will have little effect on total prescription drug expenditure but will increase out-of-pocket spending on prescription drugs. Conversely, if patients are sensitive to changes in price, the impact on total expenditure will be greater, while the impact on out-of-pocket expenditure may be smaller as patients lower their use of prescription drugs.</p>
            <p>Sixty-three papers examined the impact of cost sharing on total or out-of-pocket prescription drug expenditure using aggregate and non-aggregate data (see Tables <tblr tid="T3">3</tblr> and <tblr tid="T4">4</tblr>). Aggregate data is defined as data collected at the macro-economic level so that individual- or household-specific information is not identifiable. The co-payment levels studied ranged from $0.50 to $35; co-insurance rates ranged from 0% to 95%. Most studies found that higher cost sharing lowered total prescription drug expenditure. Expenditure reductions ranged from a non-significant 0.04% of total prescription drug expenditure when moving from a two-tier to a three-tier formulary <abbrgrp><abbr bid="B23">23</abbr></abbrgrp> to 58% of expenditure on ACE inhibitors when moving from a one-tier to a two-tier formulary <abbrgrp><abbr bid="B24">24</abbr></abbrgrp>. Variation in the magnitude of expenditure reductions was influenced by contextual factors such as the size of the increase in user charges, the type of drugs associated with user charges, and the population groups subject to user charges. Some studies calculated expenditure elasticities to measure the extent of the change in total prescription drug expenditure in response to changes in the level of cost sharing. Most expenditure elasticity estimates ranged from -0.29 to -0.06 (that is, a 10% increase in cost sharing would result in a 0.6% to 2.9% decrease in total expenditure). The largest expenditure elasticity estimate (-1.07), a clear outlier, was from a study that focused on older people in the United States without any form of protection from user charges (for example, through employer-sponsored additional coverage or Medicaid, the publicly financed health insurance program for the poor), which may explain why this group was relatively sensitive to price <abbrgrp><abbr bid="B25">25</abbr></abbrgrp>. Studies examining the impact of reference pricing found that it lowered prescription drug expenditure in the short term (generally in the first one or two years), but had little effect beyond this period.</p>
            <tbl id="T3">
               <title>
                  <p>Table 3</p>
               </title>
               <caption>
                  <p>The impact of prescription drug charges on total prescription drug expenditure</p>
               </caption>
               <tblbdy cols="3">
                  <r>
                     <c ca="left">
                        <p>
                           <b>Variable</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Expenditures</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Studies</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="3">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Co-payment</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Hanau and Rizzi </b>[87] (IT, NS, TD, R); <b>Joyce et al. </b>[88] (US, OS, CD, R); <b>Lurk et al. </b>[27] (US, NS, CD, R); <b>Meissner et al. </b>[66] (US, OS, CD, NR); <b>Reeder and Nelson </b>[61] (US, NS, TD, R); <b>Smith </b>[89] (US, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Fairman et al. </b>[23] (US, NS, CD, R); <b>Gibson et al. </b>[90] (US, NS, PD, R); <b>Huskamp et al. </b>[24] (US, NS, CD, R); <b>Kamal-Bahl and Briesacher </b>[91] (US, OS, CD, R); <b>Motheral and Fairman </b>[28] (US, NS, CD, R); <b>Motheral and Henderson </b>[63] (US, NS, CD, R); <b>Nair et al. </b>[92] (US, NS, TD, R); <b>Thomas et al. </b>[93] (US, OS, CD, NR)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Co-insurance</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Alignon and Grignon </b>[94] (FR, OS, CD, NR); <b>Almarsd&#243;ttir et al. </b>[95] (IC, NS, TD, R); <b>Klaukka et al. </b>[96] (FI, NS, CD, R); <b>Liebowitz et al. </b>[48] (US, ES, CD, R); <b>Newhouse </b>[49] (US, ES, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Deductible</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Van Vliet </b>[97] (NE, OS, CD, R); <b>Van Vliet </b>[98] (NE, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Mixed system</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Gaynor et al. </b>[99] (US, OS, PD, R); <b>Hong and Shepherd </b>[46] (US, OS, CD, NR); <b>Klick and Stratmann </b>[25] (US, OS, CD, R); <b>Smart and Stabile </b>[100] (CA, NS, CD, R); <b>Thomas et al. </b>[93] (US, OS, CD, NR)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Mixed system</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Grootendorst </b>[26] (CA, NS, PD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Reference pricing (short-term effect)</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Anderson et al. </b>[59] (SW, NS, TD, R); <b>Grootendorst et al. </b>[64] (CA, NS, TD, R); <b>Grootendorst et al. </b>[101] (CA, NS, TD, R); <b>Mabasa and Ma </b>[39] (CA, NS, CS, NR); <b>Marshall et al. </b>[42] (CA, NS, TD, R); <b>Narine et al. </b>[44] (CA, NS, TD, NR); <b>Puig-Junoy </b>[102] (SP, NS, TD, R); <b>Schneeweiss et al. </b>[103] (CA, NS, TD, NR)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Reference pricing (short-term effect)</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Ulrich and Wille </b>[104] (GE, NS, TD, NR)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Reference pricing (long-term effect)</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Grootendorst and Stewart </b>[105] (CA, NS, TD, R); <b>Marshall et al. </b>[42] (CA, NS, TD, R); <b>Schneeweiss et al. </b>[106] (CA, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Change from</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>co-payment to co-insurance</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Contayannis et al. </b>[107] (CA, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>co-insurance to deductible and co-insurance</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Contayannis et al. </b>[107] (CA, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Insurance coverage</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Primary (vs. none)</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Artz et al. </b>[108] (US, OS, CD, R); <b>Danzon and Pauly </b>[109] (US, OS, CD, NR); <b>Gianfrancesco et al. </b>[110] (US, NS, CD, NR); <b>Smith and Garner </b>[111] (US, NS, CD, NR)</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Supplementary (vs. none)</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Davis et al. </b>[112] (US, OS, CD, NR); <b>Dourgnon and Semet </b>[113] (FR, OS, CD, R); <b>Federman et al. </b>[114] (US, OS, CD, R); <b>Lillard et al. </b>[115] (US, OS, CD, R); <b>Long </b>[116] (US, OS, CD, R); <b>Poisal and Murray </b>[117] (US, OS, CD, NR); <b>Raynaud </b>[118] (FR, OS, CD, R); <b>Stuart et al. </b>[119] (US, OS, CD, R); <b>Weeks </b>[120] (US, NS, CD, NR)</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Supplementary (vs. none)</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Yang et al. </b>[71] (US, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Supplementary (vs. none)</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Grignon and Perronin </b>[121] (FR, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Public supplementary (vs. private)</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Raynaud </b>[118] (FR, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Prescription limit</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Soumerai et al. </b>[37] (US, NS, TD, R)</p>
                     </c>
                  </r>
               </tblbdy>
               <tblfn>
                  <p>Country: CA = Canada; FI = Finland; FR = France; GE = Germany; IC = Iceland; IT = Italy; NE = The Netherlands; MC = multiple countries; SP = Spain; SW = Sweden; US = United States</p>
                  <p>Type of study: ES = experimental study; NS = natural study; OS = observational study</p>
                  <p>Type of data analyzed: CD = cross-sectional data; TD = time-series data; PD = panel data</p>
                  <p>Type of statistical analysis used: R = regression techniques; NR = no regression techniques</p>
               </tblfn>
            </tbl>
            <tbl id="T4">
               <title>
                  <p>Table 4</p>
               </title>
               <caption>
                  <p>Estimates of the expenditure elasticity of demand for prescription drugs</p>
               </caption>
               <tblbdy cols="3">
                  <r>
                     <c ca="left">
                        <p>
                           <b>Paper</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Type of cost sharing</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Expenditure elasticity</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="3">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p><b>Contayannis et al. </b>[107] (CA, NS, CD, R)</p>
                     </c>
                     <c ca="left">
                        <p>Change from co-payment to co-insurance</p>
                     </c>
                     <c ca="left">
                        <p>-0.16 to -0.12</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p><b>Klick and Stratmann </b>[25] (US, OS, CD, R)</p>
                     </c>
                     <c ca="left">
                        <p>Mixed system</p>
                     </c>
                     <c ca="left">
                        <p>-1.07</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p><b>Phelps and Newhouse </b>[122] (CA/UK, OS, CD, NR)</p>
                     </c>
                     <c ca="left">
                        <p>Co-insurance</p>
                     </c>
                     <c ca="left">
                        <p>-0.07<sup>a</sup></p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p><b>Smart and Stabile </b>[100] (CA, NS, CD, R)</p>
                     </c>
                     <c ca="left">
                        <p>Mixed system</p>
                     </c>
                     <c ca="left">
                        <p>-0.29 to -0.28</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p><b>Van Vliet </b>[97] (NE, OS, CD, R)</p>
                     </c>
                     <c ca="left">
                        <p>Deductible</p>
                     </c>
                     <c ca="left">
                        <p>-0.06</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p><b>Van Vliet </b>[98] (NE, OS, CD, R)</p>
                     </c>
                     <c ca="left">
                        <p>Deductible</p>
                     </c>
                     <c ca="left">
                        <p>-0.08</p>
                     </c>
                  </r>
               </tblbdy>
               <tblfn>
                  <p><sup>a</sup>unadjusted elasticity estimate (no regression used)</p>
                  <p>Country: CA = Canada; NE = The Netherlands; UK = United Kingdom; US = United States</p>
                  <p>Type of study: NS = natural study; OS = observational study</p>
                  <p>Type of data analyzed: CD = cross-sectional data</p>
               </tblfn>
            </tbl>
            <p>In general, the literature also found that having any form of insurance coverage (as opposed to none) increased total prescription drug expenditure. However, a Canadian study found that the provision of free prescription drugs for individuals aged 65 and over did not increase total prescription drug expenditure <abbrgrp><abbr bid="B26">26</abbr></abbrgrp>. This result may be related to the fact that the author was only able to control for the unhealthiest respondents in the first year of the sample. Alternatively, additional insurance may have had no effect as people approaching this age were already using prescription drugs for chronic conditions. All except one <abbrgrp><abbr bid="B27">27</abbr></abbrgrp> of the studies that examined the impact of user charges on patients' out-of-pocket expenditure on prescription drugs found that user charges increased patients' costs, while having additional voluntary health insurance coverage lowered their costs (see Table <tblr tid="T5">5</tblr>).</p>
            <tbl id="T5">
               <title>
                  <p>Table 5</p>
               </title>
               <caption>
                  <p>The impact of prescription drug charges on patients' out-of-pocket expenditure on prescription drugs</p>
               </caption>
               <tblbdy cols="3">
                  <r>
                     <c ca="left">
                        <p>
                           <b>Variable</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Out-of-pocket expenses</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Studies</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="3">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Co-payment</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Stuart and Zacker </b>[123] (US, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Co-payment</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Lurk et al. </b>[27] (US, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Huskamp et al. </b>[124] (US, NS, CD, R); <b>Huskamp et al. </b>[125] (US, NS, CD, R); <b>Kamal-Bahl and Briesacher </b>[91] (US, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Reference pricing</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Grootendorst et al. </b>[101] (CA, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>Insurance coverage</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Supplementary (vs. none)</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Alan et al. </b>[69] (CA, OS, CD, R); <b>Alan et al. </b>[68] (CA, OS, CD, R); <b>Alan et al. </b>[126] (CA, OS, CD, R); <b>Blustein </b>[127] (US, OS, CD, R); <b>Federman et al. </b>[114] (US, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c indent="1" ca="left">
                        <p>Reimbursement limit</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Tseng et al. </b>[128] (US, OS, CD, NR)</p>
                     </c>
                  </r>
               </tblbdy>
               <tblfn>
                  <p>Country: CA = Canada; US = United States</p>
                  <p>Type of study: ES = experimental study; NS = natural study; OS = observational study</p>
                  <p>Type of statistical analysis used: R = regression techniques; NR = no regression techniques</p>
               </tblfn>
            </tbl>
            <p>Thus, there is some evidence to suggest that cost sharing leads to slightly lower total expenditure or lower expenditure growth on prescription drugs and higher out-of-pocket expenditure for patients. The finding that patients are relatively insensitive to changes in the price of prescription drugs has important implications. Few of the studies we reviewed were of sufficient duration to permit assessment of long-term expenditure control. However, the reference price studies that took a slightly longer perspective found that reference pricing had little effect on expenditure beyond the first year or two, which suggests that user charges may not be relied upon to reduce pharmaceutical budgets in the long term. It also indicates that, rather than substantially lowering total expenditure on prescription drugs, user charges shift some prescription drug costs from third party payers to patients.</p>
         </sec>
         <sec>
            <st>
               <p>4.2. How do prescription drug charges affect total health care expenditure?</p>
            </st>
            <p>If user charges lower total expenditure on prescription drugs, they might also lower total expenditure on health care. Conversely, they could lead to a squeezed balloon effect, causing expenditure to rise in other parts of the pharmaceutical sector or health system. To assess the impact of prescription drug charges on total health care expenditure, we consider 23 papers that examined the relationship between prescription drug charges and the use of other forms of health care (a proxy indicator for expenditure) such as over the counter (OTC) drugs, doctor and outpatient visits, and inpatient and emergency care (see Table <tblr tid="T6">6</tblr>).</p>
            <tbl id="T6">
               <title>
                  <p>Table 6</p>
               </title>
               <caption>
                  <p>Prescription drug charges and the demand for other health services</p>
               </caption>
               <tblbdy cols="4">
                  <r>
                     <c ca="left">
                        <p>
                           <b>Good/service affected</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Variable</b>
                        </p>
                     </c>
                     <c ca="center">
                        <p>
                           <b>Effect</b>
                        </p>
                     </c>
                     <c ca="left">
                        <p>
                           <b>Study</b>
                        </p>
                     </c>
                  </r>
                  <r>
                     <c cspan="4">
                        <hr/>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>OTC drugs</p>
                     </c>
                     <c ca="left">
                        <p>Co-insurance</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Liebowitz </b>[32] (US, ES, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Insurance coverage</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c indent="1" ca="left">
                        <p>Supplementary (vs. none)</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Caussat and Glaude </b>[34] (FR, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c indent="1" ca="left">
                        <p>Supplementary (vs. none)</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Stuart and Grana </b>[33] (US, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Prescription limit</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Cox et al. </b>[35] (US, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>physician services</p>
                     </c>
                     <c ca="left">
                        <p>Co-payment</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Anis et al. </b>[129] (CA, OS, PD, R); <b>Balkrishnan et al. </b>[130] (US, NS, PD, R); <b>Lauterbach et al. </b>[131] (GE, OS, CD, R); <b>Winkelmann </b>[132] (GE, NS, PD, R); <b>Winkelmann </b>[133] (GE, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Co-payment</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Gardner et al. </b>[29] (US, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Motheral and Fairman </b>[28] (US, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Reference pricing</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Hazlet and Blough </b>[36] (CA, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Mixed system</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Li et al. </b>[31] (CA, NS, PD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Change from</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c indent="1" ca="left">
                        <p>co-insurance to deductible and co-insurance</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Pilote et al. </b>[30] (CA, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Insurance coverage</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c indent="1" ca="left">
                        <p>Public Supplementary (vs. private)</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Raynaud </b>[134] (FR, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Reimbursement limit</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Hsu et al. </b>[135] (US, OS, PD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>outpatient services</p>
                     </c>
                     <c ca="left">
                        <p>Co-payment</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Balkrishnan et al. </b>[130] (US, NS, PD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Mixed system</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Gaynor et al. </b>[99] (US, OS, PD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Insurance coverage</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c indent="1" ca="left">
                        <p>Public supplementary (vs. none)</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Raynaud </b>[134] (FR, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>inpatient services</p>
                     </c>
                     <c ca="left">
                        <p>Co-payment</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Anis et al. </b>[129] (CA, OS, PD, R); <b>Atella et al. </b>[76] (IT, NS, CD, R); <b>Balkrishnan et al. </b>[130] (US, NS, PD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Co-payment</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Gardner et al. </b>[29] (US, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Reference pricing</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Hazlet and Blough </b>[36] (CA, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Motheral and Fairman </b>[28] (US, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Mixed system</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Gaynor et al. </b>[99] (US, OS, PD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Insurance coverage</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c indent="1" ca="left">
                        <p>Supplementary (vs. none)</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Schoen et al. </b>[74] (US, NS, CD, NR)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c indent="1" ca="left">
                        <p>Public supplementary drug (vs. private)</p>
                     </c>
                     <c ca="center">
                        <p>-</p>
                     </c>
                     <c ca="left">
                        <p><b>Lingle et al. </b>[136] (US, OS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Prescription limit</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Soumerai et al. </b>[38] (US, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Prescription limit</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Soumerai et al. </b>[37] (US, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Reimbursement limit</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Hsu et al. </b>[135] (US, OS, PD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>ER visits</p>
                     </c>
                     <c ca="left">
                        <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Motheral and Fairman </b>[28] (US, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Reference pricing</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Hazlet and Blough </b>[36] (CA, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Change from</p>
                     </c>
                     <c>
                        <p/>
                     </c>
                     <c>
                        <p/>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c indent="1" ca="left">
                        <p>co-payment to co-insurance and annual maximum</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Tamblyn et al. </b>[72] (CA, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c indent="1" ca="left">
                        <p>co-insurance to deductible and co-insurance</p>
                     </c>
                     <c ca="center">
                        <p>0</p>
                     </c>
                     <c ca="left">
                        <p><b>Pilote et al. </b>[30] (CA, NS, CD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Reimbursement limit</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Hsu et al. </b>[135] (US, OS, PD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c>
                        <p/>
                     </c>
                     <c ca="left">
                        <p>Prescription limit</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Soumerai et al. </b>[37] (US, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>emergency mental health services</p>
                     </c>
                     <c ca="left">
                        <p>Prescription limit</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Soumerai et al. </b>[38] (US, NS, TD, R)</p>
                     </c>
                  </r>
                  <r>
                     <c ca="left">
                        <p>nursing home admissions</p>
                     </c>
                     <c ca="left">
                        <p>Prescription limit</p>
                     </c>
                     <c ca="center">
                        <p>+</p>
                     </c>
                     <c ca="left">
                        <p><b>Soumerai et al. </b>[38] (US, NS, TD, R)</p>
                     </c>
                  </r>
               </tblbdy>
               <tblfn>
                  <p>Country: CA = Canada; FR = France; GE = Germany; IT = Italy; US = United States</p>
                  <p>Type of study: ES = experimental study; NS = natural study; OS = observational study</p>
                  <p>Type of data analyzed: CD = cross-sectional data; TD = time-series data; PD = panel data</p>
                  <p>Type of statistical analysis used: R = regression techniques; NR = no regression techniques</p>
               </tblfn>
            </tbl>
            <p>As the use of prescription drugs requires a doctor's prescription, in most cases we would expect prescription drug charges to result in lower use of doctors (to the extent that patients are sensitive to changes in price). Several studies found that user charges, reimbursement limits, and reference pricing did indeed lead to a reduction in doctor visits; three studies found that prescription drug charges had no effect on doctor visits; and one study found that they increased doctor visits. However, two of the three studies finding no relationship between prescription drug charges and doctor visits examined situations in which user charges were designed to encourage the use of lower-cost drugs through multi-tier formularies <abbrgrp><abbr bid="B28">28</abbr></abbrgrp> or differential charges for generics and brand-name medications <abbrgrp><abbr bid="B29">29</abbr></abbrgrp>, rather than to lower the use of prescription drugs. In the third of the three studies, the insignificant effect on doctor visits may be explained by the fact that everyone in the study sample had experienced a heart attack, while those with lower incomes were afforded greater protection from prescription drug charges <abbrgrp><abbr bid="B30">30</abbr></abbrgrp>. Consequently, this group was less likely to be sensitive to changes in price and perhaps more likely to see the doctor for reasons other than to obtain a prescription. The positive result came from a sample of older people in Canada with rheumatoid arthritis <abbrgrp><abbr bid="B31">31</abbr></abbrgrp>. As health insurance in Canada fully covers doctor visits, it is not surprising that some patients would substitute physician care for prescription drugs.</p>
            <p>Studies show mixed results for OTC drugs. In the RAND experiment, higher co-insurance rates lowered the probability of purchasing an OTC drug but, after controlling for this, cost sharing had no impact on OTC expenditure <abbrgrp><abbr bid="B32">32</abbr></abbrgrp>. Additional insurance coverage led to higher use of prescription drugs compared to OTC drugs in another US study <abbrgrp><abbr bid="B33">33</abbr></abbrgrp>, but had the opposite effect in a French study <abbrgrp><abbr bid="B34">34</abbr></abbrgrp>. The French result probably differed because additional health insurance in France covers more than just prescription drugs; and as doctors often recommend the use of OTC drugs, increased OTC drug use may have been prompted by increased doctor visits. Having a limit on the number of free prescriptions an individual is allowed per month (a policy most often associated with Medicaid in the United States) positively influenced the quantity of OTC drugs used <abbrgrp><abbr bid="B35">35</abbr></abbrgrp>.</p>
            <p>The results for outpatient, inpatient, and emergency care are much more consistent. As expected, user charges designed to encourage patients to choose lower-cost drugs had no significant effect on the use of inpatient or emergency care <abbrgrp><abbr bid="B28">28</abbr><abbr bid="B36">36</abbr></abbrgrp>. Otherwise, with the exception of four studies, there was generally a positive relationship between cost sharing and outpatient, inpatient, and emergency care. Studies also found that prescription limits increased the frequency of partial hospitalisation <abbrgrp><abbr bid="B37">37</abbr></abbrgrp> and nursing home admissions <abbrgrp><abbr bid="B38">38</abbr></abbrgrp> and the use of emergency mental health services <abbrgrp><abbr bid="B37">37</abbr></abbrgrp>. Two of the studies that found no effect were based on chronically ill patients <abbrgrp><abbr bid="B30">30</abbr><abbr bid="B38">38</abbr></abbrgrp>. Soumerai et al. <abbrgrp><abbr bid="B38">38</abbr></abbrgrp> also suggest that their insignificant result for inpatient admissions might be due to the fact that the outcome variable they used (time to first hospital admission) would not highlight repeat hospital visits.</p>
            <p>These findings reveal two things. First, prescription drug charges are unlikely to lower total health care expenditure and may in fact increase spending overall. Although a decline in the use of services that complement prescription drugs (doctor visits) may lead to cost savings, any savings are likely to be outweighed by increased use of the highly resource-intensive services that substitute for prescription drugs (inpatient, emergency and long-term care). Second, the design of a cost sharing policy can mitigate this potentially explosive effect on total health care expenditure. Policies that give patients incentives to switch to lower-cost drugs and policies that protect low-income groups may prevent inefficient patterns of health care use which, while more accessible to patients, are more costly to the health system.</p>
         </sec>
         <sec>
            <st>
               <p>4.3. Is lower prescription drug expenditure achieved through reductions in price or quantity?</p>
            </st>
            <p>In this section we return to the question of total prescription drug expenditure and consider whether expenditure reductions resulting from user charges are achieved through reductions in the price of prescription drugs or reductions in the quantity of prescription drugs consumed. From a policy perspective, lowering expenditure through reductions in price would be preferable because, as the previous sections have shown, reductions in quantity can have unwelcome consequences for total health care costs and for equity (unless user charges exclusively reduce the use of unnecessary or ineffective prescription drugs).</p>
            <sec>
               <st>
                  <p>Reductions in price</p>
               </st>
               <p>The effect of user charges on price reductions can be direct if reference pricing or tiered formularies encourage manufacturers to lower pharmaceutical prices, or indirect if they encourage patients to consume lower-priced prescription drugs. Fifteen studies examined direct or indirect price reductions attributed to prescription drug charges. For example, a Canadian study found that when a private insurer introduced a maximum allowable cost drug plan (similar in effect to reference pricing) for proton pump inhibitors, the price of inhibitors that were more expensive than the reference price fell <abbrgrp><abbr bid="B39">39</abbr></abbrgrp>. A German study found that reference pricing led manufacturers to lower the price of medications in several therapeutic categories, with the largest reductions for brand-name drugs <abbrgrp><abbr bid="B40">40</abbr></abbrgrp>. Danzon and Liu <abbrgrp><abbr bid="B41">41</abbr></abbrgrp> found similar results for Germany, New Zealand, and the Netherlands. However, savings achieved through price reductions under reference pricing may be limited because manufacturers generally have no incentive to price products below the reference price. Savings may also be offset if, as has been observed, manufacturers respond to reference pricing by increasing the price of drugs not included in the reference pricing scheme <abbrgrp><abbr bid="B10">10</abbr></abbrgrp>.</p>
               <p>There is more evidence about the way in which patients respond to incentives to switch to cheaper prescription drugs (see Table <tblr tid="T7">7</tblr>). Three studies that considered the impact of reference pricing found that patients immediately switched from drugs priced above the reference price to drugs priced at the reference price <abbrgrp><abbr bid="B42">42</abbr><abbr bid="B43">43</abbr><abbr bid="B44">44</abbr></abbrgrp>. A study of the impact of differential co-payments for different statins (cholesterol-lowering drugs), ranging from $0 to $52.51, also found that patients were more likely to choose the cheapest option <abbrgrp><abbr bid="B45">45</abbr></abbrgrp>. However, other studies that examined incentives to switch from brand-name to generic drugs show mixed results. Where user charges vary according to patients' insurance coverage, higher charges for brand-name drugs were successful in increasing demand for generic drugs <abbrgrp><abbr bid="B46">46</abbr><abbr bid="B47">47</abbr></abbrgrp>. In contrast, the RAND experiment found that co-insurance had no effect on the use of generic drugs <abbrgrp><abbr bid="B48">48</abbr><abbr bid="B49">49</abbr></abbrgrp>, perhaps because generic substitutes were both less prevalent and more expensive in the United States during the 1970s and 1980s than they are at present <abbrgrp><abbr bid="B50">50</abbr></abbrgrp>. More recent studies examining the impact of multi-tier formularies also found little impact on the use of generic substitutes, although there was some increase in the use of other therapeutic substitutes in the preferred tier. One reason for this may be that the studies focused either on an increase in user charges associated with a formulary or on a change from a two-tier to a three-tier formulary. While price-sensitive patients respond to an initial change from a one-tier to a two-tier formulary by increasing their uptake of generic drugs, patients who are less sensitive to price may continue to use brand-name drugs <abbrgrp><abbr bid="B51">51</abbr></abbrgrp>. Subsequent price differentials between generics and brand-name drugs have little effect on the less sensitive group, but may encourage switching from non-preferred to preferred brand-name drugs.</p>
               <tbl id="T7">
                  <title>
                     <p>Table 7</p>
                  </title>
                  <caption>
                     <p>The impact of prescription drug charges on the use of generic or reference-priced drugs</p>
                  </caption>
                  <tblbdy cols="4">
                     <r>
                        <c ca="left">
                           <p>
                              <b>Variable</b>
                           </p>
                        </c>
                        <c ca="center">
                           <p>
                              <b>Use of generics</b>
                           </p>
                        </c>
                        <c ca="center">
                           <p>
                              <b>Use of other substitutes</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Studies</b>
                           </p>
                        </c>
                     </r>
                     <r>
                        <c cspan="4">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="center">
                           <p>N/A</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Esposito</b><sup>1 </sup>[45] (US, OS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Huskamp et al. </b>[125] (US, NS, CD, R); <b>Motheral and Fairman </b>[28] (US, NS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="center">
                           <p>N/A</p>
                        </c>
                        <c ca="left">
                           <p><b>Gibson et al. </b>[90] (US, NS, PD, R); <b>Motheral and Henderson </b>[63] (US, NS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                        </c>
                        <c ca="center">
                           <p>N/A</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Kamal-Bahl and Briesacher </b>[91] (US, OS, CD, R); <b>Landsman et al. </b>[65] (US, NS, TD, R);</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Co-insurance</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="center">
                           <p>N/A</p>
                        </c>
                        <c ca="left">
                           <p><b>Liebowitz et al. </b>[48] (US, ES, CD, R); <b>Newhouse </b>[49] (US, ES, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="center">
                           <p>N/A</p>
                        </c>
                        <c ca="left">
                           <p><b>Hong and Shepherd </b>[46] (US, OS, CD, NR); <b>Mortimer </b>[47] (US, OS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Reference pricing (non-RP drugs)</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="center">
                           <p>N/A</p>
                        </c>
                        <c ca="left">
                           <p><b>Marshall et al. </b>[42] (CA, NS, TD, R); <b>McManus et al. </b>[43] (AU, NS, TD, R); <b>Narine et al. </b>[44] (CA, NS, TD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Reference pricing (non-RP drugs)</p>
                        </c>
                        <c ca="center">
                           <p>N/A</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Mabasa and Ma </b>[39] (CA, NS, CS, NR)</p>
                        </c>
                     </r>
                  </tblbdy>
                  <tblfn>
                     <p>Country: AU = Australia; CA = Canada; US = United States</p>
                     <p>Type of study: ES = experimental study; NS = natural study; OS = observational study</p>
                     <p>Type of data analyzed: CD = cross-sectional data; TD = time-series data; PD = panel data</p>
                     <p>Type of statistical analysis used: R = regression techniques; NR = no regression techniques</p>
                  </tblfn>
               </tbl>
               <p>Overall, there is some evidence to suggest that reference pricing might be effective in encouraging drug manufacturers to lower their prices to the reference price, perhaps leading to a one-off reduction in expenditure on drugs in the reference pricing scheme. However, these savings may be offset by increases in the prices of cheaper drugs in the reference pricing scheme (to match the reference price) and increases in the price of drugs outside the reference pricing scheme. Evidence of the impact of patient-targeted incentives is mixed and, again, suggests the potential for minor and one-off cost savings only.</p>
            </sec>
            <sec>
               <st>
                  <p>Reductions in quantity</p>
               </st>
               <p>Quantity can be affected by a decrease in the probability of consuming prescription drugs and/or a decrease in the volume (number) of prescription drugs consumed.</p>
            </sec>
            <sec>
               <st>
                  <p>Impact on probability of use</p>
               </st>
               <p>Twenty-four articles used individual- or household-level data to examine the effect of prescription drug charges or insurance coverage on the probability of using any prescription drugs (see Table <tblr tid="T8">8</tblr>). The co-payments studied ranged in price from $0&#8211;$3 to approximately $33, and co-insurance rates ranged from 0% to 95%. With the exception of a Danish article <abbrgrp><abbr bid="B52">52</abbr></abbrgrp>, the studies were unanimous in finding that individuals who faced prescription drug charges were less likely to use prescription drugs and that those with insurance coverage were more likely to use them. The single unexpected result may be related to the fact that the authors did not control for endogeneity (in this case, the greater likelihood of unhealthier patients purchasing additional private health insurance) <abbrgrp><abbr bid="B52">52</abbr></abbrgrp>. Only one study compared prescription drug consumption among individuals facing a change in the level of user charges (from a CDN $237 deductible and a 40% co-insurance rate to an income-based deductible with 0% co-insurance above the deductible; families with an annual income below CDN $15,000 faced a lower deductible) <abbrgrp><abbr bid="B53">53</abbr></abbrgrp>. The change did not lead to any increase in the probability of consumption among low-income children, but did lower the probability of consumption among higher-income children. The income-based deductible therefore increased the out-of-pocket burden for higher-income households, but still proved to be a deterrent to the use of prescription drugs among lower-income households.</p>
               <tbl id="T8">
                  <title>
                     <p>Table 8</p>
                  </title>
                  <caption>
                     <p>The impact of prescription drug charges on the probability of obtaining a prescription drug</p>
                  </caption>
                  <tblbdy cols="3">
                     <r>
                        <c ca="left">
                           <p>
                              <b>Variable</b>
                           </p>
                        </c>
                        <c ca="center">
                           <p>
                              <b>Probability of use</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Studies</b>
                           </p>
                        </c>
                     </r>
                     <r>
                        <c cspan="3">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Esposito</b><sup>1 </sup>[45] (US, OS, CD, R); <b>Gardner et al. </b>[137] (NZ, OS, CD, NR); <b>Hillman et al. </b>[138] (US, OS, CD, R); <b>Stuart and Zacker </b>[123] (US, OS, CD, R); <b>Watt et al. </b>[139] (NZ, OS, CD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Co-insurance</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Lohr et al. </b>[140] (US, ES, CD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Deductible</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Blais et al. </b>[141] (CA, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Goldman et al. </b>[142] (US, OS, CD, R); <b>Ozminkowski et al. </b>[143] (US, OS, CD, R); <b>Smart and Stabile </b>[100] (CA, NS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Change from:</p>
                        </c>
                        <c>
                           <p/>
                        </c>
                        <c>
                           <p/>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>deductible and co-insurance to income-based deductible</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Kozyrskyj et al. </b>[53] (CA, NS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Insurance coverage</p>
                        </c>
                        <c>
                           <p/>
                        </c>
                        <c>
                           <p/>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>Primary (vs. none)</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Smith and Garner </b>[111] (US, NS, CD, NR); <b>Thomas et al. </b>[144] (US, OS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>Supplementary (vs. none)</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Adams et al. </b>[145] (US, OS, CD, R); <b>Blustein </b>[127] (US, OS, CD, R); <b>Caussat and Glaude </b>[34] (FR, OS, CD, R); <b>Coulson and Stuart </b>[146] (US, OS, CD, R); <b>Genier et al. </b>[147] (FR, OS, CD, R); <b>Grignon and Perronin </b>[121] (FR, NS, CD, R); <b>Raynaud </b>[148] (FR, OS, CD, R); <b>Raynaud </b>[134] (FR, OS, CD, R); <b>Rogowski et al. </b>[149] (US, OS, CD, R); <b>Stuart and Grana </b>[33] (US, OS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>Supplementary (vs. none)</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="left">
                           <p><b>Christiansen et al. </b>[52] (DK, OS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>Supplementary public (vs. private)</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Raynaud </b>[148] (FR, OS, CD, R); <b>Raynaud </b>[134] (FR, OS, CD, R)</p>
                        </c>
                     </r>
                  </tblbdy>
                  <tblfn>
                     <p><sup>1</sup>This study examined the probability of using a specific statin compared to the probability of using other statins when there were differing co-payments for each statin.</p>
                     <p>Country: CA = Canada; DK = Denmark; FR = France; NZ = New Zealand; US = United States</p>
                     <p>Type of study: ES = experimental study; NS = natural study; OS = observational study</p>
                     <p>Type of data analyzed: CD = cross-sectional data; TD = time-series data; PD = panel data</p>
                     <p>Type of statistical analysis used: R = regression techniques; NR = no regression techniques</p>
                  </tblfn>
               </tbl>
            </sec>
            <sec>
               <st>
                  <p>Impact on volume</p>
               </st>
               <p>The bulk of the literature (92 studies) focuses on the impact of user charges on the volume of prescription drugs used (see Table <tblr tid="T9">9</tblr>). The co-payments studied ranged from $0&#8211;$3 to the full price of the drug. Co-insurance rates ranged from 0% to 100%. Most studies found a negative relationship between the prescription drug charge and levels of prescription drug use, regardless of the form of user charge in place. In most cases, insurance coverage had a positive effect on the volume of prescription drugs used, whereas the existence of a limited list of prescription drugs qualifying for reimbursement had a negative effect <abbrgrp><abbr bid="B54">54</abbr><abbr bid="B55">55</abbr></abbrgrp>.</p>
               <tbl id="T9">
                  <title>
                     <p>Table 9</p>
                  </title>
                  <caption>
                     <p>The impact of prescription drug charges on the volume of prescriptions obtained</p>
                  </caption>
                  <tblbdy cols="3">
                     <r>
                        <c ca="left">
                           <p>
                              <b>Variable</b>
                           </p>
                        </c>
                        <c ca="center">
                           <p>
                              <b>Volume</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Studies</b>
                           </p>
                        </c>
                     </r>
                     <r>
                        <c cspan="3">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Anderson et al. </b>[59] (SW, NS, TD, R); <b>Anessi Pessina </b>[150] (IT, OS, TD, R); <b>Anis et al. </b>[129] (CA, OS, PD, R); <b>Balkrishnan et al. </b>[130] (US, NS, PD, R); <b>Begg </b>[151] (UK, OS, CD, NR); <b>Birch </b>[152] (UK, NS, CD, NR); <b>Brenna et al. </b>[153] (IT, NS, TD, R); <b>Brian and Gibbens </b>[67] (US, ES, CD, NR); <b>Cameron et al. </b>[154] (AU, CD, NS, R); <b>Delnoij et al. </b>[155] (NE, NS, CD, R); <b>Gardner et al. </b>[137] (NZ, OS, CD, NR); <b>Gardner et al. </b>[29] (US, NS, TD, R); <b>Hansen et al. </b>[156] (US, OS, CD, R); <b>Harris et al. </b>[157] (US, NS, TD, R); <b>Hughes and McGuire </b>[158] (UK, NS, TD, R); <b>Hux et al. </b>[159] (CA, NS, CD, R); <b>Johnson et al. </b>[160] (US, NS, CD, R); <b>Johnson et al. </b>[161] (US, NS, CD, R); <b>Lauterbach et al. </b>[131] (GE, OS, CD, R); <b>Lavers </b>[162] (UK, NS, TD, R); <b>Livingstone et al. </b>[163] (CA, NS, CD, NR); <b>Lundberg et al. </b>[164] (SW, OS, CD, R); <b>Lurk et al. </b>[27] (US, NS, CD, R); <b>McManus et al. </b>[165] (AU, NS, TD, R); <b>Nelson et al. </b>[166] (US, NS, TD, R); <b>O'Brien </b>[54] (UK, NS, TD, R); <b>Reeder and Nelson </b>[61] (US, NS, TD, R); <b>Ryan and Birch </b>[55] (UK, NS, TD, R); <b>Schneeweiss et al. </b>[167] (CA, NS, TD, R); <b>Scott et al. </b>[168] (US, NS, CD, NR); <b>Smith and Watson </b>[169] (UK, OS, CS, R); <b>Starmans et al. </b>[170] (NE, NS, TD, R); <b>Watt et al. </b>[139] (NZ, OS, CD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="left">
                           <p><b>Anderson et al. </b>[59] (SW, NS, TD, R); <b>Meissner et al. </b>[66] (US, OS, CD, NR); <b>Reeder and Nelson </b>[61] (US, NS, TD, R); <b>Soumerai et al. </b>[62] (US, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="left">
                           <p><b>Motheral and Henderson </b>[63] (US, NS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Fairman et al. </b>[23] (US, NS, CD, R); <b>Gibson et al. </b>[90] (US, NS, PD, R); <b>Landsman et al. </b>[65] (US, NS, TD, R); <b>Motheral and Fairman </b>[28] (US, NS, CD, R); <b>Rector et al. </b>[171] (US, OS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Co-insurance</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Foxman et al. </b>[172] (US, ES, CD, R); <b>Johnson et al. </b>[160] (US, NS, CD, R); <b>Johnson et al. </b>[161] (US, NS, CD, R); <b>Liebowitz et al. </b>[48] (US, ES, CD, R); <b>Lohr et al. </b>[140] (US, ES, CD, NR); <b>Martin and McMillan </b>[173] (US, NS, TD, R); <b>Puig-Junoy </b>[174] (SP, OS, TD, R); <b>Steffensen et al. </b>[175] (DK, NS, CD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Deductible</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Blais et al. </b>[141] (CA, NS, TD, R); <b>Socialstyrelsen </b>[176] (SW, OS, CD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Carrin and Van Dael </b>[177] (BE, OS, TD, R); <b>Gaynor et al. </b>[99] (US, OS, PD, R); <b>Grootendorst and Levine </b>[56] (CA, OS, CD, R); <b>Hong and Shepherd </b>[46] (US, OS, CD, NR); <b>Klick and Stratmann </b>[25] (US, OS, CD, R); <b>Li et al. </b>[31] (CA, NS, PD, R); <b>Van Vliet et al. </b>[178] (NE, OS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Grootendorst and Levine </b>[56] (CA, OS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="left">
                           <p><b>Mott and Schommer </b>[179] (US, OS, CD, R); <b>Ong et al. </b>[60] (SW, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Reference pricing (overall)</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="left">
                           <p><b>Grootendorst et al. </b>[64] (CA, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Reference pricing (overall)</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Mabasa and Ma </b>[39] (CA, NS, CS, NR); <b>Schneeweiss et al. </b>[106] (CA, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Reference pricing (non-RP drugs)</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Grootendorst et al. </b>[64] (CA, NS, TD, R); <b>Mabasa and Ma </b>[39] (CA, NS, CS, NR); <b>Marshall et al. </b>[42] (CA, NS, TD, R); <b>McManus et al. </b>[43] (AU, NS, TD, R); <b>Narine et al. </b>[44](CA, NS, TD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Change from</p>
                        </c>
                        <c>
                           <p/>
                        </c>
                        <c>
                           <p/>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>co-payment to co-insurance</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Van Doorslaer </b>[180] (BE, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>co-payment to co-insurance and annual maximum</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Tamblyn et al. </b>[72] (CA, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>co-insurance to deductible</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Friis et al</b>. [181] (DK, NS, CD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>co-insurance to deductible and co-insurance</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Blais et al. </b>[182] (CA, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>co-insurance to deductible and co-insurance</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="left">
                           <p><b>Blais et al. </b>[57] (CA, NS, TD, R); <b>Pilote et al. </b>[30] (CA, NS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Insurance coverage</p>
                        </c>
                        <c>
                           <p/>
                        </c>
                        <c>
                           <p/>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>Primary (vs. none)</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Artz et al. </b>[108] (US, OS, CD, R); <b>Coulson and Stuart </b>[146] (US, OS, CD, R); <b>Danzon and Pauly </b>[109] (US, OS, CD, NR); <b>Fillenbaum et al. </b>[183] (US, OS, CD, R); <b>Gianfrancesco et al. </b>[110] (US, NS, CD, NR); <b>Grootendorst et al. </b>[184] (CA, OS, CD, R); <b>Shih </b>[185] (US, OS, CD, R); <b>Smith and Garner </b>[111] (US, NS, CD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>Primary (vs. none)</p>
                        </c>
                        <c ca="center">
                           <p>0</p>
                        </c>
                        <c ca="left">
                           <p><b>Stuart et al </b>[58] (US, OS, CD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c indent="1" ca="left">
                           <p>Supplementary (vs. none)</p>
                        </c>
                        <c ca="center">
                           <p>+</p>
                        </c>
                        <c ca="left">
                           <p><b>Caussat and Glaude </b>[34] (FR, OS, CD, R); <b>Coulson and Stuart </b>[146] (US, OS, CD, R); <b>Coulson et al. </b>[186] (US, OS, CD, R); <b>Davis et al. </b>[112] (US, OS, CD, NR); <b>Fillenbaum et al. </b>[183] (US, OS, CD, R); <b>Greenlick and Darsky </b>[187] (CA, OS, CD, NR); <b>Grootendorst et al. </b>[184] (CA, OS, CD, R); <b>Poisal and Chulis </b>[188] (US, OS, CD, NR); <b>Poisal and Murray </b>[117] (US, OS, CD, NR); <b>Rudholm </b>[189] (SW, OS, CD, R); <b>Stuart et al. </b>[119] (US, OS, CD, R); <b>Weeks </b>[120] (US, NS, CD, NR)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Limited list</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>O'Brien </b>[54] (UK, NS, TD, R); <b>Ryan and Birch </b>[55] (UK, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Prescription limit</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Soumerai et al. </b>[62] (US, NS, TD, R); <b>Soumerai et al. </b>[37] (US, NS, TD, R)</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p>Reimbursement limit</p>
                        </c>
                        <c ca="center">
                           <p>-</p>
                        </c>
                        <c ca="left">
                           <p><b>Hsu et al. </b>[135] (US, OS, PD, R)</p>
                        </c>
                     </r>
                  </tblbdy>
                  <tblfn>
                     <p>Country: AU = Australia; BE = Belgium; CA = Canada; DK = Denmark; FR = France; GE = Germany; IT = Italy; NE = The Netherlands; NZ = New Zealand; SP = Spain; SW = Sweden; UK = United Kingdom; US = United States</p>
                     <p>Type of study: ES = experimental study; NS = natural study; OS = observational study</p>
                     <p>Type of data analyzed: CD = cross-sectional data; TD = time-series data; PD = panel data</p>
                     <p>Type of statistical analysis used: R = regression techniques; NR = no regression techniques</p>
                  </tblfn>
               </tbl>
               <p>Only 12 studies deviated from these intuitive findings to show either a positive correlation between out-of-pocket prescription drug price and volume <abbrgrp><abbr bid="B56">56</abbr></abbrgrp> or no significant effect. In some cases this was due to study design. For example, studies found that cost sharing had a positive or no effect on the use of prescription drugs among groups of older people <abbrgrp><abbr bid="B56">56</abbr><abbr bid="B57">57</abbr></abbrgrp>, among nursing home residents <abbrgrp><abbr bid="B58">58</abbr></abbrgrp>, among patients with chronic conditions <abbrgrp><abbr bid="B30">30</abbr><abbr bid="B59">59</abbr><abbr bid="B60">60</abbr></abbrgrp>, where user charges were low <abbrgrp><abbr bid="B59">59</abbr><abbr bid="B60">60</abbr><abbr bid="B61">61</abbr><abbr bid="B62">62</abbr></abbrgrp>, or when patients were able to switch to cheaper alternatives. Older people are more likely to suffer from life-threatening and/or chronic conditions and may therefore be less sensitive to price. They may also perceive fewer substitutes for prescription drugs and, in some cases, decisions about drug use may be made by carers rather than the patients themselves <abbrgrp><abbr bid="B58">58</abbr></abbrgrp>. The introduction of multi-tier formularies and reference pricing may negatively affect the volume of drugs that become relatively more expensive, but generally have little impact on overall volume as patients switch to less expensive drugs rather than curbing their consumption <abbrgrp><abbr bid="B63">63</abbr><abbr bid="B64">64</abbr></abbrgrp>.</p>
               <p>Several studies calculated estimates of the elasticity of demand for prescription drugs (or provided enough information for us to calculate estimates), with the aim of measuring the extent of patients' responsiveness to changes in the out-of-pocket price of prescription drugs (see Table <tblr tid="T10">10</tblr>). Overall, the demand for prescription drugs was almost always inelastic (less than proportionate). Studies generally found that a 10% increase in price would result in a 0.2 to 5.6% decrease in use based on non-aggregate data or a 0.6 to 8.0% decrease in use based on aggregate data. Estimates based on aggregate data are slightly larger due to higher levels of 'noise'. One study found an elastic decrease in use of 11.5% for tricyclic antidepressants, but inelastic decreases of 1.0 to 6.0% for other types of drug <abbrgrp><abbr bid="B65">65</abbr></abbrgrp>. The evidence indicates that while patients are more sensitive to the price of brand-name drugs than to the price of generic drugs, the price elasticity of demand for the former is still relatively inelastic <abbrgrp><abbr bid="B47">47</abbr><abbr bid="B63">63</abbr></abbrgrp>. The Canadian study based on a sample of older people (see the previous paragraph) calculated a positive price elasticity estimate, suggesting that a 10% increase in price would actually lead to a 1.4% increase in use <abbrgrp><abbr bid="B56">56</abbr></abbrgrp>. A further explanation for this may be that doctors attempted to ease the burden of higher prescription drug charges by increasing the size of prescriptions or prescribing cheaper drugs. The only other positive estimate came from a study that did not control for other factors that may have influenced demand, which may have biased the authors' calculation <abbrgrp><abbr bid="B66">66</abbr></abbrgrp>.</p>
               <tbl id="T10">
                  <title>
                     <p>Table 10</p>
                  </title>
                  <caption>
                     <p>Estimates of the elasticity of demand for prescription drugs<sup>a</sup></p>
                  </caption>
                  <tblbdy cols="3">
                     <r>
                        <c ca="left">
                           <p>
                              <b>Paper</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Type of cost sharing</b>
                           </p>
                        </c>
                        <c ca="left">
                           <p>
                              <b>Price elasticity</b>
                           </p>
                        </c>
                     </r>
                     <r>
                        <c cspan="3">
                           <hr/>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Anessi Pessina </b>[150] (IT, OS, TD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="left">
                           <p>-0.75 to -0.07</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Carrin and Van Dael </b>[177] (BE, OS, TS, R)</p>
                        </c>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="left">
                           <p>-0.35 to --0.09</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Coulson and Stuart </b>[146] (US, OS, CD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Primary insurance (vs. none)</p>
                        </c>
                        <c ca="left">
                           <p>--0.18<sup>b</sup></p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Gardner et al. </b>[29] (US, NS, TD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="left">
                           <p>-0.38 to --0.23</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Gibson et al. </b>[90] (US, NS, PD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                        </c>
                        <c ca="left">
                           <p>-0.27 to --0.03</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Grootendorst and Levine </b>[56] (CA, OS, CD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="left">
                           <p>-0.40 to 0.14</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Grootendorst et al. </b>[184] (CA, OS, CD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Supplementary insurance (vs. none)</p>
                        </c>
                        <c ca="left">
                           <p>-0.13<sup>b </sup>to --0.09<sup>b</sup></p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Harris et al. </b>[157] (US, NS, TD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="left">
                           <p>-0.17<sup>b </sup>to --0.06<sup>b</sup></p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Hughes and McGuire </b>[158] (UK, NS, TD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="left">
                           <p>-0.37 to -0.32</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Klick and Stratmann </b>[25] (US, OS, CD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="left">
                           <p>-0.56</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Landsman et al. </b>[65] (US, NS, TD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                        </c>
                        <c ca="left">
                           <p>-1.15 to -0.10</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Lavers </b>[162] (UK, NS, TD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="left">
                           <p>-0.22</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Li et al. </b>[31] (CA, NS, PD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="left">
                           <p>-0.20 to --0.11</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Liebowitz et al. </b>[48] (US, ES, CD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Co-insurance</p>
                        </c>
                        <c ca="left">
                           <p>-0.10<sup>b</sup></p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>McManus et al. </b>[165] (AU, NS, TD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="left">
                           <p>-0.80<sup>b </sup>to --0.50<sup>b</sup></p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Meissner et al. </b>[66] (US, OS, CD, NR)</p>
                        </c>
                        <c ca="left">
                           <p>Multi-tier formulary (increase in co-payment for all tiers)</p>
                        </c>
                        <c ca="left">
                           <p>-0.22 to 0.39</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Mortimer </b>[47] (US, OS, CD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Mixed system</p>
                        </c>
                        <c ca="left">
                           <p>-1.91 to --0.03</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Motheral and Henderson </b>[63] (US, NS, CD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Multi-tier formulary (vs. 1- or 2-tiers)</p>
                        </c>
                        <c ca="left">
                           <p>-0.32<sup>d</sup></p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>O'Brien </b>[54] (UK, NS, TD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Co-payment</p>
                        </c>
                        <c ca="left">
                           <p>--0.64 to --0.23</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
                           <p><b>Puig-Junoy </b>[174] (SP, OS, TD, R)</p>
                        </c>
                        <c ca="left">
                           <p>Co-insurance</p>
                        </c>
                        <c ca="left">
                           <p>-0.13</p>
                        </c>
                     </r>
                     <r>
                        <c ca="left">
      