A consensus-based decision model for assessing the health systems

PLoS One. 2020 Aug 18;15(8):e0237892. doi: 10.1371/journal.pone.0237892. eCollection 2020.

Abstract

Many countries and international organisations have been developing health system performance assessment frameworks and indicators to support healthcare management and inform public health policy. Effectiveness, accessibility, safety and patient-centeredness were four dimensions that were most commonly measured. This paper develops a new consensus-based decision model to assess the health systems, in which different stakeholders of healthcare systems are identified by different decision approaches, i.e., the coefficient variation approach, the Shannon entropy approach and the distance-based approach, respectively. The consensus result is obtained by minimizing the total deviation from the ideal point. A numerical illustration with simulated data is presented to show the effectiveness of our model.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Consensus*
  • Decision Making*
  • Delivery of Health Care*
  • Entropy
  • Models, Theoretical*

Grants and funding

This research is financially supported by Humanities and Social Sciences Fund of the Ministry of Education (No. 18YJAZH080), and Project of Science and Technology Department of Shaanxi Province (No. 2020JQ-654).