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      The Financial Impact of the ‘Zero-Markup Policy for Essential Drugs’ on Patients in County Hospitals in Western Rural China

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          Abstract

          Objective

          With a quasi-experimental design, this study aims to assess whether the Zero-markup Policy for Essential Drugs (ZPED) reduces the medical expense for patients at county hospitals, the major healthcare provider in rural China.

          Methods

          Data from Ningshan county hospital and Zhenping county hospital, China, include 2014 outpatient records and 9239 inpatient records. Quantitative methods are employed to evaluate ZPED. Both hospital-data difference-in-differences and individual-data regressions are applied to analyze the data from inpatient and outpatient departments.

          Results

          In absolute terms, the total expense per visit reduced by 19.02 CNY (3.12 USD) for outpatient services and 399.6 CNY (65.60 USD) for inpatient services. In relative terms, the expense per visit was reduced by 11% for both outpatient and inpatient services. Due to the reduction of inpatient expense, the estimated reduction of outpatient visits is 2% among the general population and 3.39% among users of outpatient services. The drug expense per visit dropped by 27.20 CNY (4.47 USD) for outpatient services and 278.7 CNY (45.75 USD) for inpatient services. The proportion of drug expense out of total expense per visit dropped by 11.73 percentage points in outpatient visits and by 3.92 percentage points in inpatient visits.

          Conclusion

          Implementation of ZPED is a benefit for patients in both absolute and relative terms. The absolute monetary reduction of the per-visit inpatient expense is 20 times of that in outpatient care. According to cross-price elasticity, the substitution between inpatient and outpatient due to the change in inpatient price is small. Furthermore, given that the relative reductions are the same for outpatient and inpatient visits, according to relative thinking theory, the incentive to utilize outpatient or inpatient care attributed to ZPED is equivalent, regardless of the 20-times price difference in absolute terms.

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          Most cited references5

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          What does 'access to health care' mean?

          Facilitating access is concerned with helping people to command appropriate health care resources in order to preserve or improve their health. Access is a complex concept and at least four aspects require evaluation. If services are available and there is an adequate supply of services, then the opportunity to obtain health care exists, and a population may 'have access' to services. The extent to which a population 'gains access' also depends on financial, organisational and social or cultural barriers that limit the utilisation of services. Thus access measured in terms of utilisation is dependent on the affordability, physical accessibility and acceptability of services and not merely adequacy of supply. Services available must be relevant and effective if the population is to 'gain access to satisfactory health outcomes'. The availability of services, and barriers to access, have to be considered in the context of the differing perspectives, health needs and material and cultural settings of diverse groups in society. Equity of access may be measured in terms of the availability, utilisation or outcomes of services. Both horizontal and vertical dimensions of equity require consideration. Copyright The Royal Society of Medicine Press Ltd 2002.
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            Effects of the National Essential Medicine System in reducing drug prices: an empirical study in four Chinese provinces

            Objectives The rapid increase in drug expenditure has become a major source of public criticism in China. In 2009, the National Essential Medicine System (NEMS) was launched in China to control drug prices and improve access to medicines. This study investigated whether and to what extent the prices of essential medicines were reduced after the introduction of NEMS. Methods Data were obtained from 149 public primary healthcare centers (PHCs) in four Chinese provinces (Shandong, Zhejiang, Anhui and Ningxia) using a facility-based survey. In total, 10,988 essential medicines were investigated. Individual price differences and a price index were used to measure price changes for three different lists: 2009–2010, 2010–2011, and 2009–2011. Results In the comparison between 2009 and 2010, a median decrease of 34.4% [95% confidence interval: 30.4%–39.1%] was observed in drug prices and the number of drug sales increased by 1.5%. The higher the retail price in 2010, the more the drug sales increased compared with 2009 (χ 2 = 75.9, p < 0.01). The drug revenues in 100 of the 149 surveyed PHCs decreased by an average of 39%. Where the available data allowed price changes for 2009–2011 to be assessed, drug prices were reduced significantly in 2010, but a modest decrease was seen in 2011. The Laspeyres index was less than 100 and the Paasche index was larger than the Laspeyres index in 2010 and 2011, which indicated that the frequently prescribed drugs usually had higher prices and any price reduction was milder. Conclusions The introduction of NEMS in PHCs in China led to price reductions in essential medicines. However, more-expensive drugs were preferred in the postreform period. Most PHCs had less drug revenue and could encounter financing dilemmas after the implementation of NEMS. Policy options such as improving the compensation mechanism and rational use of drugs should be further promoted in PHCs.
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              New estimates of elasticity of demand for healthcare in rural China.

              Only limited empirical studies reported own-price elasticity of demand for health care in rural China. Neither research on income elasticity of demand for health care nor cross-price elasticity of demand for inpatient versus outpatient services in rural China has been reported. However, elasticity of demand is informative to evaluate current policy and to guide further policy making. Our study contributes to the literature by estimating three elasticities (i.e., own-price elasticity, cross-price elasticity, and income elasticity of demand for health care based on nationwide-representative data. We aim to answer three empirical questions with regard to health expenditure in rural China: (1) Which service is more sensitive to price change, outpatient or inpatient service? (2) Is outpatient service a substitute or complement to inpatient service? and (3) Does demand for inpatient services grow faster than demand for outpatient services with income growth? Based on data from a National Health Services Survey, a Probit regression model with probability of outpatient visit and probability of inpatient visit as dependent variables and a zero-truncated negative binomial regression model with outpatient visits as dependent variable were constructed to isolate the effects of price and income on demand for health care. Both pooled and separated regressions for 2003 and 2008 were conducted with tests of robustness. Own-price elasticities of demand for first outpatient visit, outpatient visits among users and first inpatient visit are -0.519 [95% confidence interval (-0.703, -0.336)], -0.547 [95% confidence interval (-0.747, -0.347)] and -0.372 [95% confidence interval (-0.517, -0.226)], respectively. Cross-price elasticities of demand for first outpatient visit, outpatient visits among users and first inpatient visit are 0.073 [95% confidence interval (-0.176, 0.322)], 0.308 [95% confidence interval (0.087, 0.528)], and 0.059 [95% confidence interval (-0.085, 0.204)], respectively. Income elasticities of demand for first outpatient visit, outpatient visits among users and first inpatient visit are 0.098 [95% confidence interval (0.018, 0.178)], 0.136 [95% confidence interval (0.028, 0.245)] and 0.521 [95% confidence interval (0.438, 0.605)], respectively. The aforementioned results are in 2008, which hold similar pattern as results in 2003 as well as results from pooled data of two periods. First, no significant difference is detected between sensitivity of outpatient services and sensitivity of inpatient services, responding to own-price change. Second, inpatient services are substitutes to outpatient services. Third, the growth of inpatient services is faster than the growth in outpatient services in response to income growth. The major findings from this paper suggest refining insurance policy in rural China. First, from a cost-effectiveness perspective, changing outpatient price is at least as effective as changing inpatient price to adjust demand of health care. Second, the current national guideline of healthcare reform to increase the reimbursement rate for inpatient services will crowd out outpatient services; however, we have no evidence about the change in demand for inpatient service if insurance covers outpatient services. Third, a referral system and gate-keeping system should be established to guide rural patients to utilize outpatient service. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 March 2015
                2015
                : 10
                : 3
                : e0121630
                Affiliations
                [1 ]School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an, China
                [2 ]Department of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, United States of America
                [3 ]Bryn Mawr College, Bryn Mawr, Pennsylvania, United States of America
                [4 ]School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
                [5 ]Ankang Municipal Development and Reform Commission, Ankang, China
                [6 ]Ningshan County Hospital, Shaanxi, China
                [7 ]Zhenping County Hospital, Shaanxi, China
                Old Dominion University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: ZLZ YS JG. Performed the experiments: ZLZ ZYZ JC YP. Analyzed the data: ZLZ ZYZ QY. Wrote the paper: ZLZ YS BC. Critical revision of the manuscript: YS JG BC. Approval of the final version of the manuscript: ZLZ YS BC ZYZ JG QY JC YP.

                ‡ Zhongliang Zhou and Yanfang Su are joint first authors.

                Article
                PONE-D-14-25619
                10.1371/journal.pone.0121630
                4366182
                25790443
                0e389f04-162e-4db7-bb24-d13cb7935a49
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 11 June 2014
                : 11 February 2015
                Page count
                Figures: 5, Tables: 11, Pages: 17
                Funding
                This study was funded by National Natural Science Fund of China (Serial number: 71203177), Shaanxi Social Science Fund (Serial number: 12Q036) and China Medical Board (CMB). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                The data from Zhenping are open to the public and the data from Ningshan are available upon request. We have received permission from the IRB of Xi’an Jiaotong University Health Science Center to release the anonymous individual medical records. Zhenping County Hospital has approved of public access to the data. To ensure compliance with local regulations at Ningshan, the data from this county can only be accessed in Ningshan with the approval and supervision of Ningshan County Hospital. For researchers interested in acquiring the raw data, the data of Zhenping can be downloaded from the Harvard Dataverse Network (DOI: 28588) and the data from Ningshan can be obtained by contacting Ningshan County Hospital (contact name: Jiuhao Chen, email: nsxyy@ 123456163.com ).

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