A A Systematic Review and Meta-Analysis on the Most Useful Key Performance Indicators in Measuring and Evaluating Healthcare Performance

Authors

  • Wafa'a Abdullah Departement of Information System, Faculty of Computer and IT, Sana’a University, Sana’a, Yemen.
  • Fadl Ba-Alwi
  • Marwa Al-Hadi
  • Ammar T. Zahary

DOI:

https://doi.org/10.59628/jast.v2i3.1019

Keywords:

Healthcare Facilities, Key Performance Indi- cators, Critical Success Factors, Performance Measurement

Abstract

The healthcare performance measurement system is a critical indicator for assessing hospital management performance. This study aims to identify the most frequent critical performance indicators (CSFs) in measuring and evaluating healthcare performance. This paper conducts a systematic review based on Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA). A literature review that includes "key performance indicators for health facility management (FM) or analyzing the most used key performance indicators," and an in-depth view were used to classify relevant KPIs for healthcare FM performance measurement. The findings show that patient satisfaction, cash flow, infection rate, length of stay, average waiting time, number of accidents per year, incidents and errors, and bed occupancy are the most significant CSFs for health facility management (HFM). The results of this paper provide valuable insights to inform future KPI development for the Yemeni healthcare environment. In future work, the Delphi method and the analytic hierarchy process (AHP) will be employed to prioritize the performance indicators of the Yemeni healthcare environment.

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PRISMA 2020 flow diagram for new system review which included a search of the database.

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Published

2024-06-29

How to Cite

Abdullah, W., Ba-Alwi , F., Al-Hadi, M., & T. Zahary, A. (2024). A A Systematic Review and Meta-Analysis on the Most Useful Key Performance Indicators in Measuring and Evaluating Healthcare Performance. Sana’a University Journal of Applied Sciences and Technology , 2(3), 293–302. https://doi.org/10.59628/jast.v2i3.1019

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