A Psychological Analytical Method for Improving Patient Well-Being in Pakistan's Governmental and Private Sectors

Abstract

Purpose: The aid of advanced Grey Relational Analysis (GRA) models and the Hurwicz criterion for decisions in face of uncertainty, the investigation to determine that levels of satisfaction relate on a broad scale a patient with their care and five factors of Pakistan's public and private healthcare systems' level of care.

Design/methodology/approach: A modernized SERVQUAL measuring device collected data from Pakistani private and governmental healthcare institutions. Absolute GRA, the second synthetic GRA model, and Deng's GRA were all employed to solve an issue.

Findings: According to under-relational analysis models, reliability and responsiveness are valued in public and private healthcare, respectively, most potent predictors of patient satisfaction. According to Hurwicz's criteria, patients that receive personal care are more inclined to be satisfied with healthcare institutions.

Limitations/implications: The rules are also part of a SERVQUAL model incorporated into this study; for instance, the report asserts that because Pakistani public sector healthcare facilities lack "cost," a crucial quality indicator, in light of the remarks that Pakistani patients made were concerned with cost, model was unable to assess the status about health care system accurately. The study suggests modifying the SERVQUAL model for underdeveloped and resource-constrained nations where people's perceptions of hospital quality are likely to be impacted by the cost of treatments.

Originality/value: The research pioneered GRA models, specifically the second artificial GRA model, to assess Lahore and Rawalpindi's public and private healthcare systems. It effectively demonstrates the use of grey approaches, which may reach sound conclusions even with tiny samples, as an alternative to the statistical method of data analysis.