Saad Ahmed Javed1, Sifeng Liu2, Amin Mahmoudi3, Muhammad Nawaz4,5. 1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China. 2. Institute for Grey Systems Studies, Nanjing University of Aeronautics and Astronautics, Nanjing, China. 3. Department of Industrial Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran. 4. Institute for Grey Systems and Decision Sciences, GreySys Foundation, Lahore, Pakistan. 5. School of Business Administration, National College of Business Administration & Economics, Lahore, Pakistan.
Abstract
PURPOSE: The study aims to evaluate the comprehensive relationship between patient satisfaction and five dimensions of health care service quality in Pakistani public/private health care sectors, using a novel grey relational analysis (GRA) models and the Hurwicz criteria of decision making under uncertainty. DESIGN/METHODOLOGY/APPROACH: Data were collected from private and public health care facilities of Pakistan through an improved SERVQUAL instrument. Deng's GRA, absolute GRA, and the second synthetic GRA models were applied to address the problem under study. FINDINGS: Grey relational analysis models revealed that reliability and responsiveness are most strongly predicting patient satisfaction in public and private health care sectors, respectively. The Hurwicz criteria showed that patients are more likely to be satisfied from private health care facilities. LIMITATIONS/IMPLICATIONS: Limitations of SERVQUAL model are also the limitations of the study; eg, the study suggests that because of the absence of "cost," which is a key quality indicator of Pakistani public sector health care facilities, the model was unable to comprehensively evaluate the health care situation in light of the observations of price-focused Pakistani patients. The study recommends tailoring of SERVQUAL model for the resource-scant and underdeveloped countries where people's evaluation of the quality of the hospitals is likely to be influenced by the price of services. ORIGINALITY/VALUE: The study is a pioneer in health care evaluation of public and private sectors of Lahore and Rawalpindi while using GRA models, in general, and the second synthetic GRA model, in particular. It presents an alternative method to the statistical way of analyzing data by successfully demonstrating the use of grey methods, which can make reasonable decisions even through small samples.
PURPOSE: The study aims to evaluate the comprehensive relationship between patient satisfaction and five dimensions of health care service quality in Pakistani public/private health care sectors, using a novel grey relational analysis (GRA) models and the Hurwicz criteria of decision making under uncertainty. DESIGN/METHODOLOGY/APPROACH: Data were collected from private and public health care facilities of Pakistan through an improved SERVQUAL instrument. Deng's GRA, absolute GRA, and the second synthetic GRA models were applied to address the problem under study. FINDINGS: Grey relational analysis models revealed that reliability and responsiveness are most strongly predicting patient satisfaction in public and private health care sectors, respectively. The Hurwicz criteria showed that patients are more likely to be satisfied from private health care facilities. LIMITATIONS/IMPLICATIONS: Limitations of SERVQUAL model are also the limitations of the study; eg, the study suggests that because of the absence of "cost," which is a key quality indicator of Pakistani public sector health care facilities, the model was unable to comprehensively evaluate the health care situation in light of the observations of price-focused Pakistani patients. The study recommends tailoring of SERVQUAL model for the resource-scant and underdeveloped countries where people's evaluation of the quality of the hospitals is likely to be influenced by the price of services. ORIGINALITY/VALUE: The study is a pioneer in health care evaluation of public and private sectors of Lahore and Rawalpindi while using GRA models, in general, and the second synthetic GRA model, in particular. It presents an alternative method to the statistical way of analyzing data by successfully demonstrating the use of grey methods, which can make reasonable decisions even through small samples.
Authors: Fernando Barrios-Ipenza; Arturo Calvo-Mora; Fernando Criado-García; Walter H Curioso Journal: Int J Environ Res Public Health Date: 2021-06-07 Impact factor: 3.390
Authors: Abid Hussain; Muhammad Asif; Arif Jameel; Jinsoo Hwang; Noman Sahito; Shahida Kanwel Journal: Int J Environ Res Public Health Date: 2019-10-02 Impact factor: 3.390