An interpretive structural modelling for sustainable healthcare quality dimensions in hospital services

  • Faisal Talib, Zillur Rahman
  • International Journal of Qualitative Research in Services, January 2015, Inderscience Publishers
  • DOI: 10.1504/ijqrs.2015.069780

What is it about?

The purpose of this paper is to develop a comprehensive framework in order to identify, rank and classify key quality dimensions for healthcare establishments (HCEs) and to understand the contextual relationship between them for growth and development of Indian HCEs. The methodology adopted in this research was interpretive structural modelling (ISM) and Matrice d'Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analyses to identify and classify the healthcare quality dimensions (HCQDs), typically identified by an extensive literature review and through experts opinion. The integrated model revealed quality dimensions such as state of knowledge management'; services of HCE for disease burden of society' and 'patient expectation and perception of hospital services' as dependent HCQDs. 'Priority area management for critical care' and 'treatment chain management including referral and evacuation chain management' were found as the linkage quality dimensions. While 'core quality dimension'; 'associated supportive quality dimension' and 'clinical governance quality' were found to be independent HCQDs. This research will aid healthcare practitioners and decision makers in selecting right quality dimensions for the sustainable growth of Indian HCEs.

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The following have contributed to this page: Dr Zillur Rahman and Dr. Faisal Talib