Designing a Comprehensive Evaluation Model for Health Reform Plan in Iran

  • Mohammadreza Rabiee Mandejin
  • Shahriar Janbazi
Keywords: Health care reform, Health plan, Integrated healthcare systems, Performance evaluation

Abstract

Background: The present study aimed to design a comprehensive model to evaluate the health system reform plan so the indicators of this model can lead to the health reform plan's effectiveness. Hence, this plan's effective factors, including policymakers and managers, suppliers, and clients, were identified and explained.

Methods:According to the practical purpose and nature of the research, the combined/mixed research method was used, in 2018-2019. For the qualitative phase, the Delphi technique was used in exploratory interviews, and quantitative methods were used to collect data through a questionnaire. In the quantitative phase, 400 employees of 10 hospitals were selected by stratified random sampling; and in the second section, 300 clients were randomly selected in two hospitals with the highest and lowest evaluation scores in the previous phase. Content analysis method and Delphi technique were used for classification and analysis of qualitative data, and SPSS Ver.22, AMOS Ver.24 and Expert Choicev24 were used for data description and dimensions and indices' weight extraction. Dimensions under consideration include the financial, social responsibility, growth and learning, citizens and client, and internal process fields.

Results: The components with the highest and lowest weight and impact on the effectiveness of the plan were identified in the following dimensions: financial field, Social responsibility field, growth and learning field, citizens and client field, internal process field, including weights 0.266, 0.244, 0.202, 0.164, 0.124, respectively.

Conclusion: Given the results, the components, indicators, dimensions, and levels of the model designed, the comprehensive evaluation of the Health System Reform Plan in Iran (CEHSRP-IR) with the normal mean was confirmed by the statistical population, and this model can be used in all organizations implementing this plan.

Published
2021-03-28
Section
Articles