Rethinking Performance Measurement of Primary Care in China; Comment on “Quality and Performance Measurement in Primary Diabetes Care: A Qualitative Study in Urban China”

Document Type : Commentary

Author

China Center for Health Development Studies, Peking University, Beijing China

Abstract

Increased political commitment and financial input to primary care have led to a growing role of performance measurement. Rasooly et al studied the implementation of performance measurement for primary care for people with diabetes in China. This is an important topic that has received little attention from previous literature. In light of the findings from the article, this paper argues for rethinking the current use of performance measurement. It also suggests potential ways to improve primary care performance measurement, in order to avoid some of the pitfalls of top-down performance measurement and to create an enabling environment for primary care strengthening.

Keywords

References

  1. Expert Panel on Effective Ways of Investing in Health (EXPH). Opinion on Tools and Methodologies for Assessing the Performance of Primary Care. EXPH; 2017.
  2. Veillard J, Cowling K, Bitton A, et al. Better measurement for performance improvement in low- and middle-income countries: the Primary Health Care Performance Initiative (PHCPI) experience of conceptual framework development and indicator selection. Milbank Q. 2017;95(4):836-883. doi:1111/1468-0009.12301
  3. Primary Heath Care Division of China’s National Health Commission. Guiding Opinion on Strengthening Performance Evaluation of Primary Care Facility. 2020. http://www.nhc.gov.cn/jws/s7882/202008/0ad3357cf1c747e0af8e5e145698d571.shtml. Accessed November 11, 2022.
  4. Marshall M, Roland M. The future of the Quality and Outcomes Framework in England. BMJ. 2017;359:j4681. doi:1136/bmj.j4681
  5. World Health Organization (WHO), United Nations Children's Fund (‎UNICEF)‎. Primary Health Care Measurement Framework and Indicators: Monitoring Health Systems Through a Primary Health Care Lens. Geneva: WHO, UNICEF; 2022.
  6. Singh NS, Kovacs RJ, Cassidy R, Kristensen SR, Borghi J, Brown GW. A realist review to assess for whom, under what conditions and how pay for performance programmes work in low- and middle-income countries. Soc Sci Med. 2021;270:113624. doi:1016/j.socscimed.2020.113624
  7. Rasooly A, Pan Y, Tang Z, et al. Quality and performance measurement in primary diabetes care: a qualitative study in urban China. Int J Health Policy Manag. 2022;11(12):3019-3031. doi:34172/ijhpm.2022.6372
  8. Yuan B, Balabanova D, Gao J, Tang S, Guo Y. Strengthening public health services to achieve universal health coverage in China. BMJ. 2019;365:l2358. doi:1136/bmj.l2358
  9. Zhang D, Pan X, Li S, et al. Impact of the national essential public health services policy on hypertension control in China. Am J Hypertens. 2017;31(1):115-123. doi:1093/ajh/hpx139
  10. Wang L, Liu W. Effects of family doctor contract services on the health-related quality of life among individuals with diabetes in China: evidence from the CHARLS. Front Public Health. 2022;10:865653. doi:3389/fpubh.2022.865653
  11. Sun J, Zhang X, Zhang Z, Wagner AK, Ross-Degnan D, Hogerzeil HV. Impacts of a new insurance benefit with capitated provider payment on healthcare utilization, expenditure and quality of medication prescribing in China. Trop Med Int Health. 2016;21(2):263-274. doi:1111/tmi.12636
  12. National Center for Cardiovascular Diseases. Annual Report on Cardiovascular Health and Diseases in China (2021). Beijing: Science Press; 2022.
  13. Newton-Lewis T, Munar W, Chanturidze T. Performance management in complex adaptive systems: a conceptual framework for health systems. BMJ Glob Health. 2021;6(7):e005582. doi:1136/bmjgh-2021-005582\

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History

  • Receive Date: 21 November 2022
  • Revise Date: 09 June 2023
  • Accept Date: 19 June 2023
  • First Publish Date: 20 June 2023

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