Skip to main content
Top
Published in: BMC Health Services Research 1/2013

Open Access 01-12-2013 | Research article

Application of propensity scores to estimate the association between government subsidy and injection use in primary health care institutions in China

Authors: Yuqing Tang, Xiaopeng Zhang, Chunyan Yang, Lianping Yang, Hongtao Wang, Xinping Zhang

Published in: BMC Health Services Research | Issue 1/2013

Login to get access

Abstract

Background

The problem posed by therapeutic injection is a clinical practice issue that influences health care quality and patient safety. Although sufficient government subsidy was one of the 12 key interventions to promote rational drug use initiated by WHO (World Health Organization), limited information is available about the association between government subsidy and injection use in primary health care institutions. In 2009, National Essential Medicines System (NEMS) was implemented in China. The subsidy policy plays an important role in maintaining primary health care institutions. This study explores the impact of government subsidies on the injection use in primary health care institutions in China.

Methods

126 primary health institutions were included in this study. Institutions were divided into two groups (intervention and control groups) according to the median GS (General subsidy per personnel). Propensity score matching (PSM) was used to minimize the observed covariate differences in the characteristics of the primary institutions between the two groups. Kappa score was calculated to determine the consistency between the groups. Paired chi-square test and Relative Risk (RR) were calculated to compare the differences in injection use between the groups.

Results

Among all the investigated prescriptions, the overall percent of people who received an injection prescribed was 36.96% (n = 12600). PSM showed no significant covariate difference among the 34 groups obtained through this analysis. Kappa score (k = −0.082, p = 0.558) indicated an inconsistency between groups and paired chi-square test revealed a significant difference (p < 0.05) in injection use between the two groups. Relative Risk = 0.679 (95%CI [0.485, 0.950]) indicate that high General subsidy per personnel is a protective factor for primary health care institutions to prescribe injections properly. The intervention group obtained a higher possibility of using injection properly.

Conclusions

The overall effect of government subsidy on the use of injection was positively significant. However, the mechanism by which government subsidy influence injection administration remains unclear, and thus requires further study.
Literature
1.
go back to reference Wachter R: Patient safety at 10 years: how far have we come? What’s next?. OR Manager. 2010, 3 (1): 5-7. Wachter R: Patient safety at 10 years: how far have we come? What’s next?. OR Manager. 2010, 3 (1): 5-7.
2.
go back to reference Dickey NW, Corrigan JM, Denham CR: Ten-year retrospective review. J Patient Safe. 2010, 6 (1): 1-4. 10.1097/PTS.0b013e3181d321ca.CrossRef Dickey NW, Corrigan JM, Denham CR: Ten-year retrospective review. J Patient Safe. 2010, 6 (1): 1-4. 10.1097/PTS.0b013e3181d321ca.CrossRef
3.
go back to reference Organization WH: Safety of injections: Global facts and figures. 2004, Geneva: World Health Organization Organization WH: Safety of injections: Global facts and figures. 2004, Geneva: World Health Organization
4.
go back to reference Li Y, Xu J, Wang F, Wang B, Liu L, Hou W, Fan H, Tong Y, Zhang J, Lu Z: Overprescribing in China, driven by financial incentives, results in very high use of antibiotics, injections, and corticosteroids. Health Aff (Millwood). 2012, 31 (5): 1075-1082. 10.1377/hlthaff.2010.0965.CrossRef Li Y, Xu J, Wang F, Wang B, Liu L, Hou W, Fan H, Tong Y, Zhang J, Lu Z: Overprescribing in China, driven by financial incentives, results in very high use of antibiotics, injections, and corticosteroids. Health Aff (Millwood). 2012, 31 (5): 1075-1082. 10.1377/hlthaff.2010.0965.CrossRef
5.
go back to reference Huang N, Chou YJ, Chang HJ, Ho M, Morlock L: Antibiotic prescribing by ambulatory care physicians for adults with nasopharyngitis, URIs, and acute bronchitis in Taiwan: a multi-level modeling approach. Fam Pract. 2005, 22 (2): 160-167. 10.1093/fampra/cmh734.CrossRefPubMed Huang N, Chou YJ, Chang HJ, Ho M, Morlock L: Antibiotic prescribing by ambulatory care physicians for adults with nasopharyngitis, URIs, and acute bronchitis in Taiwan: a multi-level modeling approach. Fam Pract. 2005, 22 (2): 160-167. 10.1093/fampra/cmh734.CrossRefPubMed
6.
go back to reference Akkerman AE, van der Wouden JC, Kuyvenhoven MM, Dieleman JP, Verheij TJ: Antibiotic prescribing for respiratory tract infections in Dutch primary care in relation to patient age and clinical entities. J Antimicrob Chemother. 2004, 54 (6): 1116-1121. 10.1093/jac/dkh480.CrossRefPubMed Akkerman AE, van der Wouden JC, Kuyvenhoven MM, Dieleman JP, Verheij TJ: Antibiotic prescribing for respiratory tract infections in Dutch primary care in relation to patient age and clinical entities. J Antimicrob Chemother. 2004, 54 (6): 1116-1121. 10.1093/jac/dkh480.CrossRefPubMed
7.
go back to reference Majeed A, Moser K: Age- and sex-specific antibiotic prescribing patterns in general practice in England and Wales in 1996. British J Gen Pract J Royal College Gen Pract. 1999, 49 (446): 735-736. Majeed A, Moser K: Age- and sex-specific antibiotic prescribing patterns in general practice in England and Wales in 1996. British J Gen Pract J Royal College Gen Pract. 1999, 49 (446): 735-736.
8.
go back to reference Cadieux GTR, Dauphinee D, Libman M: Predictors of inappropriate antibiotic prescribing among primary care physicians. CMAJ. 2007, 177: 877-883. 10.1503/cmaj.070151.CrossRefPubMedPubMedCentral Cadieux GTR, Dauphinee D, Libman M: Predictors of inappropriate antibiotic prescribing among primary care physicians. CMAJ. 2007, 177: 877-883. 10.1503/cmaj.070151.CrossRefPubMedPubMedCentral
9.
go back to reference Kozyrskyj AL, Dahl ME, Chateau DG, Mazowita GB, Klassen TP, Law BJ: Evidence-based prescribing of antibiotics for children: role of socioeconomic status and physician characteristics. CMAJ. 2004, 171 (2): 139-145. 10.1503/cmaj.1031629.CrossRefPubMedPubMedCentral Kozyrskyj AL, Dahl ME, Chateau DG, Mazowita GB, Klassen TP, Law BJ: Evidence-based prescribing of antibiotics for children: role of socioeconomic status and physician characteristics. CMAJ. 2004, 171 (2): 139-145. 10.1503/cmaj.1031629.CrossRefPubMedPubMedCentral
10.
go back to reference Scott T, Mannion R, Marshall M, Davies H: Does organisational culture influence health care performance? A review of the evidence. J Health Serv Res Policy. 2003, 8 (2): 105-117. 10.1258/135581903321466085.CrossRefPubMed Scott T, Mannion R, Marshall M, Davies H: Does organisational culture influence health care performance? A review of the evidence. J Health Serv Res Policy. 2003, 8 (2): 105-117. 10.1258/135581903321466085.CrossRefPubMed
11.
go back to reference Spurling GK, Mansfield PR, Montgomery BD, Lexchin J, Doust J, Othman N, Vitry AI: Information from pharmaceutical companies and the quality, quantity, and cost of physicians’ prescribing: a systematic review. PLoS Med. 2010, 7 (10): e1000352-10.1371/journal.pmed.1000352.CrossRefPubMedPubMedCentral Spurling GK, Mansfield PR, Montgomery BD, Lexchin J, Doust J, Othman N, Vitry AI: Information from pharmaceutical companies and the quality, quantity, and cost of physicians’ prescribing: a systematic review. PLoS Med. 2010, 7 (10): e1000352-10.1371/journal.pmed.1000352.CrossRefPubMedPubMedCentral
12.
go back to reference Choi KH, Park SM, Lee JH, Kwon S: Factors affecting the prescribing patterns of antibiotics and injections. J Korean Med Sci. 2012, 27 (2): 120-127. 10.3346/jkms.2012.27.2.120.CrossRefPubMedPubMedCentral Choi KH, Park SM, Lee JH, Kwon S: Factors affecting the prescribing patterns of antibiotics and injections. J Korean Med Sci. 2012, 27 (2): 120-127. 10.3346/jkms.2012.27.2.120.CrossRefPubMedPubMedCentral
13.
go back to reference Hsiao WC: The political economy of Chinese health reform. Health Econ Policy Law. 2007, 2 (Pt 3): 241-249.CrossRefPubMed Hsiao WC: The political economy of Chinese health reform. Health Econ Policy Law. 2007, 2 (Pt 3): 241-249.CrossRefPubMed
14.
go back to reference Yu X, Li C, Shi Y, Yu M: Pharmaceutical supply chain in China: current issues and implications for health system reform. Health Policy. 2010, 97 (1): 8-15. 10.1016/j.healthpol.2010.02.010.CrossRefPubMed Yu X, Li C, Shi Y, Yu M: Pharmaceutical supply chain in China: current issues and implications for health system reform. Health Policy. 2010, 97 (1): 8-15. 10.1016/j.healthpol.2010.02.010.CrossRefPubMed
16.
go back to reference Ai-tian Y, Xin-tai L: Study on the impact of essential medicine system on Out-patient service in township hospitals of Shandong province. Chinese Health Econ. 2011, 04: 20-22. Ai-tian Y, Xin-tai L: Study on the impact of essential medicine system on Out-patient service in township hospitals of Shandong province. Chinese Health Econ. 2011, 04: 20-22.
17.
go back to reference The State Council of China: Implementation plan for the recent priorities of the health care system reform (2009–2011). 2009, Beijing: The State Council of China The State Council of China: Implementation plan for the recent priorities of the health care system reform (2009–2011). 2009, Beijing: The State Council of China
18.
go back to reference Guan X, Liang H, Xue Y, Shi L: An analysis of China’s national essential medicines policy. J Public Health Policy. 2011, 32 (3): 305-319. 10.1057/jphp.2011.34.CrossRefPubMed Guan X, Liang H, Xue Y, Shi L: An analysis of China’s national essential medicines policy. J Public Health Policy. 2011, 32 (3): 305-319. 10.1057/jphp.2011.34.CrossRefPubMed
19.
go back to reference The State Council of China: Opinions on establishing and implementation of compensation mechanism of the primary health care institutions. 2010, Beijing: The State Council of China The State Council of China: Opinions on establishing and implementation of compensation mechanism of the primary health care institutions. 2010, Beijing: The State Council of China
20.
go back to reference Xinping Z, Xianji W: Research on the reasons of irrational Use of medicines. Chinese Primary Health Care. 2005, 12: 23-26. Xinping Z, Xianji W: Research on the reasons of irrational Use of medicines. Chinese Primary Health Care. 2005, 12: 23-26.
21.
go back to reference Gosden T, Forland F, Kristiansen IS, Sutton M, Leese B, Giuffrida A, Sergison M, Pedersen L: Capitation, salary, fee-for-service and mixed systems of payment: effects on the behaviour of primary care physicians. Cochrane Database Syst Rev. 2000, 3: CD002215 Gosden T, Forland F, Kristiansen IS, Sutton M, Leese B, Giuffrida A, Sergison M, Pedersen L: Capitation, salary, fee-for-service and mixed systems of payment: effects on the behaviour of primary care physicians. Cochrane Database Syst Rev. 2000, 3: CD002215
22.
go back to reference Wang Xiao-rong P-X: Implementation of the compensation mechanism of essential drug system in primary health care institutions. Chinese Health Econ. 2011, 30 (9): 27-28. Wang Xiao-rong P-X: Implementation of the compensation mechanism of essential drug system in primary health care institutions. Chinese Health Econ. 2011, 30 (9): 27-28.
23.
go back to reference Xu J, Wang W, Li Y, Zhang J, Pavlova M, Liu H, Yin P, Lu Z: Analysis of factors influencing the outpatient workload at Chinese health centres. BMC Heal Serv Res. 2010, 10: 151-10.1186/1472-6963-10-151.CrossRef Xu J, Wang W, Li Y, Zhang J, Pavlova M, Liu H, Yin P, Lu Z: Analysis of factors influencing the outpatient workload at Chinese health centres. BMC Heal Serv Res. 2010, 10: 151-10.1186/1472-6963-10-151.CrossRef
24.
go back to reference Rosenbaum P, Rubin D: The central role of the propensity score in observational studies for causal effects. Biometrika. 1983, 70: 41-55. 10.1093/biomet/70.1.41.CrossRef Rosenbaum P, Rubin D: The central role of the propensity score in observational studies for causal effects. Biometrika. 1983, 70: 41-55. 10.1093/biomet/70.1.41.CrossRef
25.
go back to reference Farzadfar F, Murray CJ, Gakidou E, Bossert T, Namdaritabar H, Alikhani S, Moradi G, Delavari A, Jamshidi H, Ezzati M: Effectiveness of diabetes and hypertension management by rural primary health-care workers (Behvarz workers) in Iran: a nationally representative observational study. Lancet. 2012, 379 (9810): 47-54. 10.1016/S0140-6736(11)61349-4.CrossRefPubMed Farzadfar F, Murray CJ, Gakidou E, Bossert T, Namdaritabar H, Alikhani S, Moradi G, Delavari A, Jamshidi H, Ezzati M: Effectiveness of diabetes and hypertension management by rural primary health-care workers (Behvarz workers) in Iran: a nationally representative observational study. Lancet. 2012, 379 (9810): 47-54. 10.1016/S0140-6736(11)61349-4.CrossRefPubMed
26.
go back to reference Brookhart MA, Schneeweiss S, Rothman KJ, Glynn RJ, Avorn J, Sturmer T: Variable selection for propensity score models. Am J Epidemiol. 2006, 163 (12): 1149-1156. 10.1093/aje/kwj149.CrossRefPubMedPubMedCentral Brookhart MA, Schneeweiss S, Rothman KJ, Glynn RJ, Avorn J, Sturmer T: Variable selection for propensity score models. Am J Epidemiol. 2006, 163 (12): 1149-1156. 10.1093/aje/kwj149.CrossRefPubMedPubMedCentral
27.
go back to reference Austin PC, Grootendorst P, Anderson GM: A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med. 2007, 26 (4): 734-753. 10.1002/sim.2580.CrossRefPubMed Austin PC, Grootendorst P, Anderson GM: A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med. 2007, 26 (4): 734-753. 10.1002/sim.2580.CrossRefPubMed
28.
go back to reference Austin PC: Some methods of propensity score matching had superior performance to others:results of an empirical investigation and Monte Carlo simulations. Biomet J. 2009, 51: 171-184. 10.1002/bimj.200810488.CrossRef Austin PC: Some methods of propensity score matching had superior performance to others:results of an empirical investigation and Monte Carlo simulations. Biomet J. 2009, 51: 171-184. 10.1002/bimj.200810488.CrossRef
29.
go back to reference Yang L, Liu C, Ferrier JA, Zhou W, Zhang X: The impact of the National Essential Medicines Policy on prescribing behaviours in primary care facilities in Hubei province of China. Health Policy Plan. 2012, [Epub ahead of print] Yang L, Liu C, Ferrier JA, Zhou W, Zhang X: The impact of the National Essential Medicines Policy on prescribing behaviours in primary care facilities in Hubei province of China. Health Policy Plan. 2012, [Epub ahead of print]
30.
go back to reference Dong L, Yan H, Wang D: Drug prescribing indicators in village health clinics across 10 provinces of Western China. Fam Pract. 2011, 28 (1): 63-67. 10.1093/fampra/cmq077.CrossRefPubMed Dong L, Yan H, Wang D: Drug prescribing indicators in village health clinics across 10 provinces of Western China. Fam Pract. 2011, 28 (1): 63-67. 10.1093/fampra/cmq077.CrossRefPubMed
31.
go back to reference Sturm H, Austvoll-Dahlgren A, Aaserud M, Oxman AD, Ramsay C, Vernby A, Kosters JP: Pharmaceutical policies: effects of financial incentives for prescribers. Cochrane Database Syst Rev. 2007, 3: CD006731 Sturm H, Austvoll-Dahlgren A, Aaserud M, Oxman AD, Ramsay C, Vernby A, Kosters JP: Pharmaceutical policies: effects of financial incentives for prescribers. Cochrane Database Syst Rev. 2007, 3: CD006731
Metadata
Title
Application of propensity scores to estimate the association between government subsidy and injection use in primary health care institutions in China
Authors
Yuqing Tang
Xiaopeng Zhang
Chunyan Yang
Lianping Yang
Hongtao Wang
Xinping Zhang
Publication date
01-12-2013
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2013
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/1472-6963-13-183

Other articles of this Issue 1/2013

BMC Health Services Research 1/2013 Go to the issue