Healthcare performance management using integrated FUCOM-MARCOS approach: The case of India.
Int J Health Plann Manage
; 37(5): 2635-2668, 2022 Sep.
Article
em En
| MEDLINE
| ID: mdl-35484727
ABSTRACT
AIMS:
The 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 ANDMETHODS:
Through 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.RESULTS:
The '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.CONCLUSION:
The 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.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Administração de Serviços de Saúde
/
Indicadores de Qualidade em Assistência à Saúde
Tipo de estudo:
Prognostic_studies
País como assunto:
Asia
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article