Has the Volume-Based Drug Purchasing Approach Achieved Equilibrium among Various Stakeholders? Evidence from China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Sources
2.1.1. Publications
2.1.2. Other Types of Data
2.2. Data Extraction
2.3. Data Analysis
2.3.1. Stakeholder Analysis
2.3.2. Health Impact Assessment
2.3.3. Multidimensional Scaling
3. Results
3.1. Literature Summary
3.2. Evaluation Factor Extraction
3.3. Comparison of Stakeholders
3.4. Health Impact Assessment
3.5. Commonality Analysis of the Problems
- (1)
- “Excessive price reduction results in the suspension of drug supply, affecting the continuity of drug use” (B1), “The prescription rights of doctors are limited and their response is not positive” (B4), and “Fixed drug use replaces the scientificity of rational drug use” (B19) were located at the center of the coordinate system. This indicates that these three problems were relatively prominent, and the other problems were all related to them.
- (2)
- “The current bidding evaluation standards lack scientificity and rationality, and cannot accurately indicate drug quality” (B9) and “The purchase volume standards are unrealistic due to false reporting by hospitals” (B17) were located closest to each other and relatively close to the center. This is indicative of the association between the bid evaluation standards and the purchase volume standards, with similar overall significance.
- (3)
- “The consumption of key monitored varieties is accelerated, or there may be problems such as antibiotic abuse” (B23), “Unselected companies are forced to withdraw, leading to a market monopoly” (B10), and “Linked price cuts reduce profits, and the enthusiasm of companies for research and development is weakened” (B34) were located at the edge of the grid. Therefore, these three problems were not closely associated with other problems.
- (1)
- The first quadrant mainly involved the risks of rising health expenditure and increased fund expenditure. After implementing VBP, non-drug costs increased and the overall cost control effect was insignificant. In the long run, companies colluded to raise prices, placing increased pressure on health insurance funds.
- (2)
- The second quadrant mainly highlighted the accessibility of drugs and problems with the rationality of the system design. Accessibility issues were manifested in the fact that the supply of drugs passing the consistency evaluation procedure was insufficient, their varieties and dosage forms were incomplete, the use of original drugs decreased in public hospitals, and the supply of cheap drugs led to decreased drug-use selection among patients and insufficient production capacity among manufacturing companies. Problems with the rationality of the system design were demonstrated by the fact that regional price differences were unreasonable, the role of hospitals in negotiated purchasing was weakened, the prescription rights of doctors were limited, and the fixed drug catalog ignored individual differences in patients.
- (3)
- The third quadrant comprised policy fairness and moral hazards. With regard to policy fairness, fewer drugs were used for certain populations such as women and children, treatment coverage was limited, drug availability in rural areas was lower than in cities, and the bid evaluation standards and pricing strategies were unreasonable. As for moral hazards, these were manifested in the fact that hospitals experienced problems relating to false reporting and delayed payment collection, while companies sourced new raw materials to reduce costs, leading to bribery and rent-seeking behavior.
- (4)
- The fourth quadrant comprised drug effectiveness and safety. This included a higher incidence of adverse reactions, low levels of doctor–patient recognition, lower quality standards for generic drugs, and discrepancies in terms of the quality and efficacy of different drug varieties.
4. Discussion
5. Contributions and Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
First Author (Year) | Study Design | Study Region (Province/Municipality) | Assessed Species/Batch | Key Outcome Indicators |
---|---|---|---|---|
Jiang (2021) | Expert viewpoints | No designation | Psychiatric medication | (10)(13) |
Chen, et al. (2021) | Survey data | Guangzhou, Guangdong | First batch | (6)(7) |
Wang, et al (2021) | Survey data | Nantong, Jiangsu | First batch | (1)(2)(7) |
Chen, et al. (2021) | Information overview | No designation | No designation | (13) |
Liu & Wang (2021) | Expert viewpoints | No designation | No designation | (10)(14) |
Zhao, et al. (2021) | Survey data | Henan | Hypertension medication | (1)(2)(4)(5) |
Zhan, et al.(2021) | Survey data | No designation | Entecavir Tablets | (1)(2)(4)(5)(12) |
Li, et al. (2021) | Survey data | Fujian | Hypertension, diabetes medication | (6)(7) |
Li & Tang (2021) | Model analysis | No designation | No designation | (11)(12) |
Liu, et al. (2021) | Survey data | Shenzhen | First batch | (13)(14) |
Fan, et al. (2021) | Survey data | Shanghai | First batch | (4)(5) |
Zhang & Wang (2021) | Survey data | Nanjing, Jiangsu | Hypertension medication | (1)(2)(4)(5) |
Wang, et al. (2021) | Survey data | Beijing and 8 other cities | First batch | (1)(3) |
He, et al. (2021) | Questionnaires and interviews | Beijing and 4 other cities | First batch | (11)(12) |
Hu (2021) | Expert viewpoints | No designation | Three batches | (1)(2) |
Wang (2021) | Information overview | No designation | Three batches | (1)(2) |
Han, et al. (2021) | Survey data | Beijing | Clopidogrel | (1)(2)(4)(5)(10)(13) |
Cao, et al. (2021) | Survey data | Beijing | Hypertension medication | (10)(11) |
Yang, et al. (2021) | Survey data | Beijing | Psychiatric medication | (1)(2)(4)(5)(8)(13) |
Liu, et al. (2021) | Survey data | Beijing | First batch | (1)(2)(4)(5)(9) |
Yang, et al. (2021) | Survey data | Shenzhen | Antibiotic drugs | (1)(2)(4) |
Chen, et al. (2021) | Survey data | Guangzhou, Guangdong | First batch | (1)(2)(8) |
An, et al. (2021) | Information overview | No designation | No designation | (1)(2) |
Fu, et al. (2021) | Survey data | Shanghai | First batch | (1)(2)(4)(5)(6)(9) |
Qiu (2021) | Survey data | Beijing | Cardiovascular drugs | (1)(2)(4)(5) |
Dong, et al. (2021) | Information overview | No designation | No designation | (6)(7) |
Shen, et al. (2021) | Survey data | Kunming, Yunan | First batch | (6)(7)(9)(10) |
Tan, et al. (2021) | Questionnaires and interviews | No designation | No designation | (8)(10) |
Guo, et al. (2021) | Survey data | Taiyuan, Shanxi | Psychiatric medication | (10)(14) |
Xu, et al. (2021) | Survey data | Shanghai | First batch | (4)(5) |
Xie, et al. (2021) | Survey data | Beijing and 3 other cities | First batch | (8)(13) |
Zhang, et al (2021) | Survey data | Beijing | First batch | (1)(2)(4)(9) |
Yu, et al. (2021) | Survey data | Shanghai | Hypertension medication | (1)(2)(4)(5)(8) |
Chen, et al. (2020) | Survey data | Shenzhen | First batch | (1)(2)(4)(5) |
Li, et al. (2020) | Survey data | Xiamen, Fujian | Hypertension medication | (1)(2)(4)(5) |
Tan& Chen (2020) | Model analysis | No designation | No designation | (8) |
Tan & Song (2020) | Information overview | No designation | No designation | (9) |
Hu, et al. (2020) | Expert viewpoints | No designation | No designation | (11)(12) |
An, et al. (2020) | Survey data | Beijing | First batch | (1)(2)(6)(13)(14) |
Du, et al.(2020) | Information overview | No designation | No designation | (1)(2)(3) |
Wang, et al. (2020) | Survey data | Nanjing, Jiangsu | Cardiovascular medication | (1)(2)(5)(8)(13) |
Xu, et al. (2020) | Survey data | Beijing | First batch | (2)(11) |
He, et al. (2020) | Survey data | Guangzhou, Guangdong | First batch | (2)(6) |
Yang, et al. (2020) | Survey data | Beijing | Depression medication | (1)(2)(4)(5) |
Yu (2020) | Expert viewpoints | No designation | No designation | (1)(2) |
Tan, et al. (2020) | Survey data | No designation | First batch | (1)(2) |
Zhang, et al (2020) | Survey data | Beijing | First batch | (6)(7) |
Tang, et al. (2020) | Expert viewpoints | No designation | First batch | (1)(2) |
Shen (2020) | Model analysis | Shanghai | First batch | (6)(7)(10)(14) |
Song (2020) | Information overview | Jiangsu | No designation | (1)(2)(11) |
Jiang, et al. (2020) | Expert viewpoints | No designation | No designation | (1)(2)(8) |
Jiang (2019) | Information overview | Shanghai | No designation | (11)(12) |
Shen, et al. (2019) | Survey data | Dalian, Liaoning | Hepatitis B virus medicine | (1)(2)(4)(5) |
Huang, et al (2019) | Information overview | Chengdu, Sichuan | First batch | (1)(2)(6) |
Mu (2019) | Survey data | Chongqing | No designation | (1)(3)(13)(14) |
Meng (2019) | Survey data | Shenyang, Liaoning | First batch | (1)(2) |
Chen (2019) | Survey data | Beijing | First batch | (1)(6)(7)(13) |
Wang (2019) | Overviews & interviews | No designation | No designation | (1)(4)(5) |
Tan & Fan (2019) | Information overview | No designation | No designation | (1)(2)(3) |
Li & Bai (2019) | Model analysis | No designation | No designation | (8)(9) |
Zhu, et al. (2019) | Survey data | Zhejiang | First batch | (6)(7) |
References
- Mills, M.; Kanavos, P. Do pharmaceutical budgets deliver financial sustainability in healthcare? Evidence from Europe. Health Policy 2020, 124, 239–251. [Google Scholar] [CrossRef] [PubMed]
- Bastani, P.; Imanieh, M.H.; Dorosti, H.; Abbasi, R.; Dashti, S.A.; Keshavarz, K. Lessons from one year experience of pooled procurement of pharmaceuticals: Exploration of indicators and assessing pharmacies’ performance. Daru 2020, 28, 13–23. [Google Scholar] [CrossRef] [PubMed]
- Strategy for Pooled Procurement of Essential Medicines and Health Commodities. 2013. Available online: https://www.sadc.int/files/7614/1898/8449/SADC___Strategy_for_Pooled_Procurement_of_Essential_Medicines_and_Health_Commodities.pdf (accessed on 8 November 2021).
- Yip, W.; Fu, H.; Chen, A.T.; Zhai, T.; Jian, W.; Xu, R.; Pan, J.; Hu, M.; Zhou, Z.; Chen, Q.; et al. 10 Years of Health-Care Reform in China: Progress and Gaps in Universal Health Coverage. Lancet 2019, 394, 1192–1204. [Google Scholar] [CrossRef]
- People’s Republic of China. Statistical Snapshot of the Development of Medicare in 2020. 2021. Available online: http://www.gov.cn/xinwen/2021-03/08/content_5591551.htm (accessed on 10 November 2021).
- Tang, M.; He, J.; Chen, M.; Cong, L.; Xu, Y.; Yang, Y.; Hou, Z.; Song, P.; Jin, C. “4 + 7” city drug volume-based purchasing and using pilot program in China and its impact. Drug Discov. Ther. 2020, 13, 365–369. [Google Scholar] [CrossRef] [PubMed]
- Lan, T.; Guan, L.; Pang, X.; Li, X.; Yu, Q. Impact of the National Centralized Drug Procurement Policy (4 + 7 policy) on the drug expenditures of patients treated in outpatient and emergency departments in a large tertiary level-A hospital in China: A single centre, interrupted time series. J. Clin. Pharm. 2022, 47, 104–111. [Google Scholar] [CrossRef]
- People’s Republic of China. Opinions on the Implementation of the Pilot Extension of the Regional Scope of Centralised Procurement and Use of Medicines by National Organisations. 2019. Available online: http://www.gov.cn/zhengce/zhengceku/2019-09/30/content_5456439.htm (accessed on 10 November 2021).
- Huang, B.; Barber, S.L.; Xu, M.; Cheng, S. Make up a missed lesson-New policy to ensure the interchangeability of generic drugs in China. Pharm. Res. Perspect 2017, 5, e318. [Google Scholar] [CrossRef] [Green Version]
- Sun, J.; Yu, B. Quality Management System under the Pharmaceutical Marketing Licensee System. Chin. J. Pharm. 2020, 55, 1919–1922. [Google Scholar]
- People’s Republic of China. Opinions on the Consistent Evaluation of the Quality and Efficacy of Generic Drugs. 2016. Available online: http://www.gov.cn/zhengce/content/2016-03/05/content_5049364.htm (accessed on 10 November 2021).
- China Pharmaceutical Industry Information Center. China Generic Drugs Blue Book; China Union Medical University Press: Beijing, China, 2021; pp. 6–11. ISBN 9787567917798. [Google Scholar]
- Lu, S.; Li, Z.; Xu, F. Helping patients accept generic drugs in China. Patient Educ. Couns. 2021, 104, 45–46. [Google Scholar] [CrossRef]
- Shi, J.; Liu, R.; Jiang, H.; Wang, C.; Xiao, Y.; Liu, N.; Wang, Z.; Shi, L. Moving towards a better path? A mixed-method examination of China’s reforms to remedy medical corruption from pharmaceutical firms. BMJ Open 2018, 8, e0185132. [Google Scholar] [CrossRef] [Green Version]
- General Office of the State Council of the People’s Republic of China, Pilot Program for Centralized Procurement and Use of Drugs Organized by the State. 2019. Available online: http://www.gov.cn/zhengce/content/2019-01/17/content_5358604.htm (accessed on 13 November 2021).
- Li, H. Centralised Quantity-Based Procurement to Reduce the Burden of Access to Health Care. People’s Daily, In Volume 2021-7-14. 2021. Available online: http://health.people.com.cn/n1/2021/0714/c14739-32156890.html (accessed on 28 November 2021).
- Jing, W. Five Drug Collection Exercises Expected to Save RMB 92.6 Billion Per Year on Drug Costs. China Pharmaceutical Economy Herald. p. 6. Available online: http://www.ceh.com.cn/cjpd/2021/07/1395062.shtml (accessed on 13 December 2021).
- Ming, J.; Li, H.J.; Wang, Y.; Ge, Y.; Liu, J.; Hu, S. Clinical performance and cost analysis of different peripheral intravenous catheters with the implementation of volume-based procurement in China. Value Health 2021, 241, S123. [Google Scholar] [CrossRef]
- Cn-healthcare. Nearly 80 Million Copies of New Crown Reagents Collected in 11 Provinces. In Volume 2022-2-17. 2021. Available online: https://www.cn-healthcare.com/articlewm/20210426/content-1214033.html (accessed on 18 December 2021).
- Wang, S.; Jiang, H. Research on the index system of centralized drug procurement in China-based on analytic hierarchy process. Chronic Dis. Prev. Rev. 2019, 3, 11. [Google Scholar]
- Chen, H.; Rao, Y. Practice and critical thinking on the pharmaceutical procurement with target quantity in new era. China J. Pharm. 2019, 14, 19–26. [Google Scholar] [CrossRef]
- Ferrera, M.; Matsaganis, M.; Tortola, P.D. Tackling the Adverse Effects of Globalisation and Integration: Ideas on a European Social Union; Vision Europe Summit 2017; pp. 24–35. Available online: http://www.carloalberto.org/research/working-papers/ (accessed on 14 December 2021).
- Millington, K.; Bhardwaj, M. Evidence and Experience of Procurement in Health Sector Decentralization; K4D Helpdesk Report; Institute of Development Studies: Brighton, UK, 2017. [Google Scholar]
- Morgovan, C.; Cosma, S.A.; Valeanu, M.; Juncan, A.M.; Rus, L.L.; Gligor, F.G.; Butuca, A.; Tit, D.M.; Bungau, S.; Ghibu, S. An exploratory research of 18 years on the economic burden of diabetes for the Romanian National Health Insurance System. Int. J. Environ. Res. Public Health 2020, 17, 4456. [Google Scholar] [CrossRef] [PubMed]
- Kim, S.W.; Skordis-Worrall, J. Can voluntary pooled procurement reduce the price of antiretroviral drugs? a case study of Efavirenz. Health Policy Plan. 2017, 32, 516–526. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bare, A.; Kopczak, L. Pooled Procurement in the Vaccine Market: UNICEF’s Experience. William Davidson Institute Report; University of Michigan. 2015. Available online: https://marketbookshelf.com/wp-content/uploads/2017/06/WDI_MDSI_Pooled-Procurement-Case-Study_12.9.2015.pdf (accessed on 14 December 2021).
- Syam, N. Regional Pooled Procurement of Medicines in the East African Community. Research Paper. 2014. Available online: https://www.southcentre.int/wp-content/uploads/2014/09/RP53_Regional-Pooled-Procurement-of-Medicines-in-EAC_EN.pdf (accessed on 15 December 2021).
- Roy Chaudhury, R.; Parameswar, R.; Gupta, U.; Sharma, S.; Tekur, U.; Bapna, J.S. Quality medicines for the poor: Experience of the Delhi programme on rational use of drugs. Health Policy Plan. 2005, 20, 124–136. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- DeRoeck, D.; Bawazir, S.A.; Carrasco, P.; Kaddar, M.; Brooks, A.; Fitzsimmons, J.; Andrus, J. Regional group purchasing of vaccines: Review of the Pan American Health Organization EPI revolving fund and the Gulf Cooperation Council group purchasing program. Int. J. Health Plann. Manag. 2006, 21, 23–43. [Google Scholar] [CrossRef] [PubMed]
- Casanova-Juanes, J.; Mestre-Ferrandiz, J.; Espín-Balbino, J. Competition in the off-patent medicine market in Spain: The national reference pricing system versus the regional system of tendering for outpatient prescription medicines in Andalusia. Health Policy 2018, 122, 1310–1315. [Google Scholar] [CrossRef]
- Rodwin, M.A. How the United Kingdom controls pharmaceutical prices and spending: Learning from its experience. Int. J. Health Serv. 2021, 51, 229–237. [Google Scholar] [CrossRef]
- Noonan, K.; Miller, D.; Sell, K.; Rubin, D. A procurement-based pathway for promoting public health: Innovative purchasing approaches for state and local government agencies. J. Public Health Policy 2013, 34, 528–537. [Google Scholar] [CrossRef]
- Ahmadi, A.; Pishvaee, M.S.; Heydari, M. How group purchasing Organisations influence healthcare-product supply chains? An analytical approach. J. Oper. Res. Soc. 2018, 70, 280–293. [Google Scholar] [CrossRef]
- Bruhn, W.E.; Fracica, E.A.; Makary, M.A. Group purchasing organizations, health care costs, and drug shortages. JAMA J. Am. Med. Assoc. 2018, 320, 1859–1860. [Google Scholar] [CrossRef] [PubMed]
- Chen, M.; Cong, L.; He, J.; Xu, Y.; Yang, Y.; Zou, X.; Liu, X.; Jin, C. Current situation and strategy analysis of drug GPO development in China. Chin. J. Health Policy 2019, 12, 34–38. [Google Scholar] [CrossRef]
- Cochrane Public Health. New Cochrane protocols and reviews of relevance to health promotion and public health, published in January 2016-July 2016 of The Cochrane Library. J. Public Health 2017, 39, 208. [Google Scholar] [CrossRef]
- Singh, J. Critical appraisal skills programme. J. Pharm. Pharm. 2013, 4, 76–77. [Google Scholar] [CrossRef] [Green Version]
- Buckett, A.; Becker, J.R.; Melchers, K.G.; Roodt, G. How Different Indicator-Dimension Ratios in Assessment Center Ratings Affect Evidence for Dimension Factors. Front. Psychol. 2020, 11, 459. [Google Scholar] [CrossRef] [Green Version]
- WHO. Health Impact Assessment. In Volume 2021-08-16. Available online: https://www.who.int/tools/health-impact-assessments (accessed on 15 November 2021).
- Ann, F. Health Impact Assessment (HIA) for Planners: What tools are useful? J. Plan. Lit. 2010, 24, 231–245. [Google Scholar] [CrossRef]
- Mindell, J.; Joffe, M. Health impact assessment in relation to other forms of impact assessment. J. Public Health Med. 2003, 25, 107–112. [Google Scholar] [CrossRef] [Green Version]
- Can, H.; Ozyigit, I.I.; Can, M.; Hocaoglu-Ozyigit, A.; Yalcin, I.E. Multidimensional scaling of the mineral nutrient status and health risk assessment of commonly consumed fruity vegetables marketed in Kyrgyzstan. Biol. Trace Elem. Res. 2021, prepublish. [Google Scholar] [CrossRef]
- Hout, M.C.; Papesh, M.H.; Goldinger, S.D. Multidimensional scaling. Wiley Interdiscip. Rev. Cogn. Sci. 2013, 4, 93–103. [Google Scholar] [CrossRef]
- Gorgulu, O. Determination of the relationship between patient satisfaction and some global economic indicators using multidimensional scaling. Niger. J. Clin. Pract. 2018, 21, 1422–1429. [Google Scholar] [CrossRef]
- Jiang, S.; Zhang, X.; Wu, Q.; Shan, L.; Wang, K.; Chen, P.; Xu, Q.; Meng, N. Research on the supervision of medical insurance physicians in China based on multi-dimensional analysis. China Hosp. Manag. 2021, 41, 60–63. [Google Scholar]
- Duong, M.H.; Moles, R.J.; Chaar, B.; Chen, T.F. Stakeholder roles in facilitating access to essential medicines. Res. Soc. Adm. Pharm. 2019, 15, 260–266. [Google Scholar] [CrossRef] [PubMed]
- Chaumont, C.; Bautista-Arredondo, S.; Calva, J.J.; Bahena-González, R.I.; Sánchez-Juárez, G.H.; González, D.A.A.; Magis-Rodríguez, C.; Hernández-Ávila, M. Antiretroviral purchasing and prescription practices in Mexico: Constraints, challenges and opportunities. Salud Publica Mex 2015, 57 (Suppl. S2), s171–s182. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dylst, P.; Vulto, A.; Simoens, S. Tendering for outpatient prescription pharmaceuticals: What can be learned from current practices in Europe? Health Policy 2011, 101, 146–152. [Google Scholar] [CrossRef]
- Lemma, S.; Janson, A.; Persson, L.Å.; Wickremasinghe, D.; Källestål, C. Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review. PLoS ONE 2020, 15, e239683. [Google Scholar] [CrossRef]
- Bate, R.; Mathur, A.; Lever, H.M.; Thakur, D.; Graedon, J.; Cooperman, T.; Mason, P.; Fox, E.R. Generics substitution, bioequivalence standards, and international oversight: Complex issues facing the FDA. Trends Pharm. Sci. 2016, 37, 184–191. [Google Scholar] [CrossRef]
- Straka, R.J.; Keohane, D.J.; Liu, L.Z. Potential clinical and economic impact of switching branded medications to generics. Am. J. 2017, 24, e278–e289. [Google Scholar] [CrossRef] [Green Version]
- Lever, H.M. A physician’s perspective on generic drug quality. J. Manag. Care Spec. Pharm. 2020, 26, 592–593. [Google Scholar] [CrossRef]
- Xinhuanet. The Clinical Efficacy of the Selected Generic Drug in the Collective Procurement is Consistent with That of the Original Drug. 2021. Available online: http://www.xinhuanet.com/2021-06/09/c_1127547771.htm (accessed on 11 November 2021).
- Brown, J.D. A call to action to track generic drug quality using real-world data and the FDA’s Sentinel Initiative. J. Manag. Care Spec. Pharm. 2020, 26, 1050. [Google Scholar] [CrossRef]
- Han, S.; Liang, H.; Su, W.; Xue, Y.; Shi, L. Can price controls reduce pharmaceutical expenses? A case study of antibacterial expenditures in 12 Chinese hospitals from 1996 to 2005. Int. J. Health Serv. 2013, 43, 91–103. [Google Scholar] [CrossRef]
- Wang, Y.; Zhu, Y.; Shi, H.; Sun, X.; Chen, N.; Li, X. The effect of the full coverage of essential medicines policy on utilization and accessibility of primary healthcare service for rural seniors: A time series study in Qidong, China. Int. J. Env. Res. Public Health 2019, 16, 4316. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Godman, B.; Wettermark, B.; van Woerkom, M.; Fraeyman, J.; Alvarez-Madrazo, S.; Berg, C.; Bishop, I.; Bucsics, A.; Campbell, S.; Finlayson, A.E.; et al. Multiple policies to enhance prescribing efficiency for established medicines in Europe with a particular focus on demand-side measures: Findings and future implications. Front. Pharm. 2014, 5, 106. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kwon, H.Y.; Bae, S.; Choi, S.E.; Park, S.; Lee, E.K.; Park, S.; Kim, J. Easy cuts, easy rebound: Drug expenditures with massive price cuts in Korea. Health Policy 2019, 123, 388–392. [Google Scholar] [CrossRef] [PubMed]
- Chen, L.; Yang, Y.; Luo, M.; Hu, B.; Yin, S.; Mao, Z. The Impacts of National Centralized Drug Procurement Policy on Drug Utilization and Drug Expenditures: The Case of Shenzhen, China. Int. J. Environ. Res. Public Health 2020, 17, 9415. [Google Scholar] [CrossRef]
- Seidman, G.; Atun, R. Do changes to supply chains and procurement processes yield cost savings and improve availability of pharmaceuticals, vaccines or health products? A systematic review of evidence from low-income and middle-income countries. BMJ Glob. Health 2017, 2, e243. [Google Scholar] [CrossRef]
- Liu, S.; Mao, N. Impact of centralized volumetric procurement policy on drug supply assurance. China Pharm. Aff. 2021, 35, 380–385. [Google Scholar] [CrossRef]
- WHO. Practical Guidelines on Pharmaceutical Procurement for Countries with Small Procurement Agencies. Unasylva. 2002. Available online: https://apps.who.int/iris/handle/10665/206932 (accessed on 24 November 2021).
- Xu, Y.; He, J.; Chen, M.; Song, J.; Jin, C. International experience of centralized drug procurement and enlightenment to China’s national level volume-based drug procurement. Chin. Health Econ. 2021, 40, 93–96. [Google Scholar]
- Rong, X.; Yin, J.; Duan, S.; Sun, Q.; Babar, Z.U. The effects of pricing policy on the prices and supply of low-cost medicines in Shandong, China: Evidence from an interrupted time series analysis. BMC Public Health 2020, 20, 588. [Google Scholar] [CrossRef]
- Li, P.; Tang, S. The restrictive factors and implementation path of drug centralized quantity purchase policy in the post-epidemic era—Based on Smith Policy Implementation Model. China Acad. J. Electron. Publ. House 2021, 38, 32–34. [Google Scholar] [CrossRef]
- Liu, W.; Hassan, G.A.; Xu, S.; Chen, C.; Chang, J.; Yang, C.; Ji, W.; Jiang, M.; Zhao, M.; Fang, Y. Antibiotics (macrolides and lincosamides) consumption trends and patterns in China’s Healthcare Institutes. Based on a 3 Year Procurement records, 2015-2017. Int. J. Environ. Res. Public Health 2020, 18, 113. [Google Scholar] [CrossRef]
- Zhen, J.; Yang, J.; Gan, L.; Huang, X. Application of business intelligence system in monitoring the clinical use of centralized medicine procurement. Chin. J. Hosp. Pharm. 2021, 41, 750–752. [Google Scholar] [CrossRef]
- National Health Commission of China. Notice on the Standardisation of the Conduct of Comprehensive Clinical Evaluation of Drugs. In Volume 2021-08-18. Available online: http://www.cnmia.org/NewsDetail_E80E977048B44D83B01340A8424AAE36.html (accessed on 31 March 2022).
Classification | Description | Frequency | Code |
---|---|---|---|
Effects | The price of selected drug varieties drops and the mean cost per patient visit declines | 52 | A1 |
It saves health insurance funds and gives room for more innovative drugs | 21 | A2 | |
The distribution links of drugs are optimized | 16 | A3 | |
The price of unselected varieties falls gradually, and the policy spillover effect is remarkable | 14 | A4 | |
Promoting industry merger and reorganization, and forcing enterprise innovation | 14 | A5 | |
Independent quotation for companies saves marketing expenses, reduces transaction costs | 11 | A6 | |
The monitoring work of adverse reactions is stable, with a low number of reports | 9 | A7 | |
The effectiveness and safety of selected drugs are consistent with those of original varieties | 9 | A8 | |
It is the entry point for strengthening medical reform and promoting three-medicine linkage | 9 | A9 | |
The prescription behavior of doctors is standardized and rational drug use is guided | 7 | A10 | |
The expected diagnosis and treatment effects can be achieved with low dressing change rate and good compliance | 6 | A11 | |
The global budget system concentrates funds, shortens enterprise capital turnover | 6 | A12 | |
The proportion of hospital drugs declines, which forces public hospitals to provide value-oriented services | 6 | A13 | |
The shortlisted item passes the consistency evaluation and has a quality improvement effect | 5 | A14 | |
It gives full play to the decisive role of the market in allocating resources | 5 | A15 | |
Balance sharing within the framework of global budgets can be used for salary system reform in the long term | 5 | A16 | |
The consumption of selected drugs and original substitutes is increased, which optimizes the drug catalog | 4 | A17 | |
The selected varieties have sufficient supply and timely delivery | 3 | A18 | |
The selected varieties are focused on common diseases, with a wide range of beneficiaries | 3 | A19 | |
Patient demand for drug use is released | 3 | A20 | |
The consistency of drug use within medical consortia is guaranteed | 3 | A21 | |
The supply of essential drugs is safeguarded | 2 | A22 | |
Problems | Excessive price reduction results in the disruption of drug supply, affecting the continuity of drug use | 15 | B1 |
The coverage of selected drugs is limited | 12 | B2 | |
Patients have low acceptance | 12 | B3 | |
The prescription rights of doctors are limited and their response is not positive | 11 | B4 | |
The recognition degree of doctors is low and they tend to use original drugs in sensitive fields | 10 | B5 | |
The standards for agreed purchase volume of selected drugs lag behind, and the indicators of different departments are unreasonable | 8 | B6 | |
There is a problem of raw material replacement, with doubts about drug effectiveness and safety | 8 | B7 | |
There exist differences in the quality and efficacy of different drug varieties | 8 | B8 | |
The current bid evaluation standards cannot accurately indicate drug quality | 8 | B9 | |
Unselected companies are forced to withdraw, leading to a market monopoly | 7 | B10 | |
Health insurance fund expenditures are at risk of increasing in the long term | 6 | B11 | |
The delivery rate is low and delivery is delayed at the grassroot level | 6 | B12 | |
The price of non-selected common drugs in social pharmacies and through other channels is rising | 6 | B13 | |
Defaults on payment are serious, causing a moral hazard | 6 | B14 | |
Dosage is increased in clinical use to achieve the drug’s effect | 5 | B15 | |
The overall cost control effect is not remarkable | 5 | B16 | |
The purchase volume standards are unrealistic due to false reporting by hospitals | 5 | B17 | |
The selected prices are relatively high in areas with limited health insurance funds, while low prices are seen in areas with sufficient funds, forming an “upside down” pattern | 5 | B18 | |
Fixed drug use replaces the scientificity of rational drug use | 5 | B19 | |
Non-drug healthcare costs are increased | 4 | B20 | |
Public hospitals suspend the supply of original drugs to reach the agreed consumption of selected drugs | 4 | B21 | |
It fails to take care of older people, women, children, and patients with special diseases | 4 | B22 | |
The consumption of key monitored varieties is accelerated, or there may be problems such as antibiotic abuse | 4 | B23 | |
The drug varieties and dosage forms are incomplete, causing inconvenience for administration by patients | 4 | B24 | |
Domestic generic drug standards are lower than international standards | 4 | B25 | |
Due to the indicator limitation of tertiary hospitals, there is a lack of motivation to refer patients to lower-level hospitals, affecting the advancement of the hierarchical diagnosis and treatment system | 4 | B26 | |
The supply of cheap drugs is disrupted | 4 | B27 | |
Drugs of the same specification are supplied at multiple prices, and the prices of drugs with the same generic name are considerably different | 4 | B28 | |
Excessive administrative intervention affects resource allocation, leading to rent-seeking behaviors and causing unfair competition | 3 | B29 | |
There is a gap between the production capacity of companies submitted for approval in the consistency evaluation and their actual production capacity, leading to weak production. | 3 | B30 | |
The bargaining power of hospitals is weakened | 3 | B31 | |
The frequency of allergic symptoms with some selected drugs is higher | 2 | B32 | |
The strategy of taking only low prices deliberately distorts drug prices and reverses resource allocation | 2 | B33 | |
Linked price cuts reduce the enthusiasm of companies for research and development | 2 | B34 | |
Selected companies are conspiring to increase drug prices in the long run | 2 | B35 | |
Original drugs and biosimilars cannot be replaced horizontally owing to the unique complex spatial structure of biosimilars | 2 | B36 |
Stakeholder | Perspective | Factors | Total Frequency | Proportion |
---|---|---|---|---|
Health insurance management agencies | Benefits | A2, A3, A4, A5, A9, A13, A14, A15, A16 | 95 | 0.2284 |
Risks | B3, B5, B6, B8, B9, B11, B16, B18, B22, B23, B25, B26, B29, B33, B34, B35, B36 | 89 | 0.2139 | |
Public hospitals | Benefits | A7, A10, A13, A16, A17, A21 | 34 | 0.0817 |
Risks | B3, B6, B14, B17, B19, B31 | 39 | 0.0938 | |
Doctors | Benefits | A16 | 5 | 0.0120 |
Risks | B4, B15, B19, B23 | 25 | 0.0601 | |
Patients | Benefits | A1, A4, A7, A8, A11, A18, A19, A20, A22 | 101 | 0.2428 |
Risks | B1, B2, B7, B12, B13, B15, B19, B20, B21, B23, B24, B27, B28, B32 | 83 | 0.1995 | |
Pharmaceutical companies | Benefits | A6, A12 | 17 | 0.0409 |
Risks | B9, B10, B14, B30, B34, B35 | 28 | 0.0673 |
Dimension | Perspective | Factors | Total Frequency | Proportion |
---|---|---|---|---|
Drug accessibility | Effects | A1, A2, A4, A18, A22 | 92 | 0.3948 |
Problems | B1, B2, B12, B13, B20, B21, B27 | 51 | 0.2189 | |
Drug use rationality | Effects | A10, A17 | 11 | 0.0472 |
Problems | B15, B19, B23, B24, B36 | 20 | 0.0858 | |
Drug quality | Effects | A7, A8, A11, A14 | 29 | 0.1245 |
Problems | B7, B8, B9, B25, B32 | 30 | 0.1288 |
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Xing, Q.; Tang, W.; Li, M.; Li, S. Has the Volume-Based Drug Purchasing Approach Achieved Equilibrium among Various Stakeholders? Evidence from China. Int. J. Environ. Res. Public Health 2022, 19, 4285. https://doi.org/10.3390/ijerph19074285
Xing Q, Tang W, Li M, Li S. Has the Volume-Based Drug Purchasing Approach Achieved Equilibrium among Various Stakeholders? Evidence from China. International Journal of Environmental Research and Public Health. 2022; 19(7):4285. https://doi.org/10.3390/ijerph19074285
Chicago/Turabian StyleXing, Qian, Wenxi Tang, Mingyang Li, and Shuailong Li. 2022. "Has the Volume-Based Drug Purchasing Approach Achieved Equilibrium among Various Stakeholders? Evidence from China" International Journal of Environmental Research and Public Health 19, no. 7: 4285. https://doi.org/10.3390/ijerph19074285
APA StyleXing, Q., Tang, W., Li, M., & Li, S. (2022). Has the Volume-Based Drug Purchasing Approach Achieved Equilibrium among Various Stakeholders? Evidence from China. International Journal of Environmental Research and Public Health, 19(7), 4285. https://doi.org/10.3390/ijerph19074285