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Hospital performance evaluation models: A scoping review.

Shirin Alsadat Hadian1, Reza Rezayatmand2, Saeedeh Ketabi3

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Summary
This summary is machine-generated.

This review classifies hospital performance evaluation models, finding quantitative methods like Data Envelopment Analysis (DEA) most common. Future research should compare these models using real hospital data for context-specific utility.

Keywords:
Data envelopment analysis (DEA)hospitalperformance evaluation

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Area of Science:

  • Healthcare Management
  • Health Services Research
  • Operations Research

Background:

  • Hospital performance evaluation is crucial due to their significant healthcare budget consumption.
  • Existing evaluation models vary widely, necessitating a structured overview.
  • Understanding these models is key to improving healthcare system efficiency and effectiveness.

Purpose of the Study:

  • To systematically identify and categorize hospital performance evaluation models.
  • To classify the dimensions and methodologies used in hospital performance assessment.
  • To provide a comprehensive review of quantitative and qualitative evaluation approaches.

Main Methods:

  • A scoping review methodology was employed.
  • Literature search conducted across three databases using specific keywords related to hospital performance evaluation.
  • Eighty English-language studies published between 2012 and 2022 were included and analyzed.

Main Results:

  • Hospital performance evaluation models were classified into quantitative and qualitative categories.
  • Quantitative models were further divided into parametric (regression, stochastic frontier analysis, neural networks, factor analysis) and non-parametric groups.
  • Non-parametric models included Data Envelopment Analysis (DEA), multi-criteria decision-making, performance management, and service quality models, with DEA being the most frequently used.
  • Quantitative models primarily focused on performance and efficiency metrics.

Conclusions:

  • Data Envelopment Analysis (DEA) is the most prevalent model for assessing hospital performance.
  • Quantitative models dominate the landscape, emphasizing efficiency and performance metrics.
  • Future research should focus on validating these models with real-world hospital data to determine context-specific applicability and utility.