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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
The International Journal of Health Planning and Management
Article . 2022 . Peer-reviewed
License: Wiley Online Library User Agreement
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Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India

Authors: Ahmad Abdullah; Shafi Ahmad; Mohd. Adnan Athar; Nishant Rajpoot; Faisal Talib;

Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India

Abstract

AbstractAimsThe goal of this research is to propose a simpler and more efficient model for evaluating healthcare establishments (HCEs). With this motivation, this study aims to discover key performance indicators (KPIs) that affect HCE performance, present a ranking model for KPIs in Indian HCEs, and evaluate Indian HCEs using the identified and prioritised KPIs.Material and MethodsThrough extensive literature review and expert opinions, this research identifies the various KPIs in HCEs, classifies them into six main categories, and prioritises them using the full consistency method (FUCOM). Further, well‐known HCEs across northern India were evaluated and ranked using Measurement Alternatives and Ranking according to Compromise Solution.ResultsThe ‘technology adoption related indicators’ is found as the most important main KPIs, whereas ‘adequate number of hospital beds and bathrooms (IE5)' as the most dominating sub‐category KPIs. Also, amongst the 20 evaluated Indian HCEs ‘healthcare establishment‐1 (HCE1)’ was found to be the best performing HCE while ‘healthcare establishment‐12 (HCE12)’ was found to be the worst‐performing HCE. The stability and consistency of the results are ascertained by performing sensitivity analysis and comparing the results with other existing methodologies.ConclusionThe findings of this study are quite important for HCEs management to fully comprehend the key areas to improve upon so that managers can improve medical standards in a targeted manner. The developed prioritisation model and methodology shown in this paper will help and motivate managers and intellectuals of HCEs to evaluate and improve the HCE's performance.

Related Organizations
Keywords

India, Delivery of Health Care, Health Services Administration, Quality Indicators, Health Care

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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