Monitoring patient dissatisfaction: a methodology based on SERVQUAL scale and statistical process control charts


Altuntaş S., Dereli T., Kaya İ.

TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE, vol.31, pp.978-1008, 2020 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31
  • Publication Date: 2020
  • Doi Number: 10.1080/14783363.2018.1457434
  • Journal Name: TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, International Bibliography of Social Sciences, ABI/INFORM, Business Source Elite, Business Source Premier, Educational research abstracts (ERA), Hospitality & Tourism Complete, Hospitality & Tourism Index, DIALNET
  • Page Numbers: pp.978-1008
  • Keywords: Patient dissatisfaction, hospital service quality, SERVQUAL scale, attribute control chart, standardised u-chart, MEASURING SERVICE QUALITY, ADJUSTED CONTROL CHARTS, HEALTH-CARE QUALITY, CONCEPTUAL-MODEL, EXPECTATIONS, TOOL, SATISFACTION, PERCEPTIONS, PERFORMANCE, MORTALITY
  • Yıldız Technical University Affiliated: Yes

Abstract

In this study, a methodology has been suggested to monitor patient dissatisfaction in hospitals. The proposed methodology uses the service quality (SERVQUAL) scale and statistical process control charts, namely standardised u-control chart. An empirical research including 618 random samples is conducted to show how the proposed methodology works in practice. A survey study based on the SERVQUAL scale is performed to obtain patient dissatisfaction level with respect to five major criteria, namely tangibility, reliability, responsiveness, assurance and empathy, in a public hospital in Istanbul, Turkey. This study extends the current limited researches related to monitoring and obliterating patient dissatisfaction in hospital services. The current study also contributes to the literature on health-care research in the context of service business by proposing a methodology to monitor patient dissatisfaction in hospitals. The findings show that the proposed methodology can be easily and efficiently conducted in practice.