Testing not‐so‐obvious models of healthcare quality

Abstract

Purpose

The purpose of this paper is to show that, although there has been some research to identify the dimensions on which healthcare quality and in‐patient satisfaction should be measured, the confirmation of constructs and indicators that constitute an overall care quality and satisfaction remains unclear. The objective is to present several models of service quality and satisfaction in healthcare for discharged patients; and to test those models in a sample of discharged patients in public hospitals in the United Arab Emirates.

Design/methodology/approach

A detailed in‐patient survey (using interviews) was used. Data were collected with questionnaires from adult discharges (n=244) in public hospitals in the UAE. Several structures are proposed and tested. Confirmatory Factor Analysis (CFA) and LISREL SIMPLIS using maximum likelihood estimation were used to estimate and test the parameters of the hypothesized models derived deductively from the previous literature.

Findings

Several models (with one, two, three and four constructs) with different structures were tested using CFA. The final recommended model is based on three constructs – quality of care, process and administration, and information. The goodness‐of‐fit statistics supported the basic solution of the healthcare quality‐satisfaction model.

Originality/value

The model has been found to capture attributes that characterize healthcare quality in a developing country such as the UAE and could represent other modern healthcare systems. It can be used as a basis for evaluation in healthcare practices from discharges (in‐patients) point of view. The study highlights the importance of patients' satisfaction with care as predictors of quality of care. The results also confirm the construct validity of the previously discussed healthcare quality scales.

Citation

Badri, M.A., Taher Attia, S. and Ustadi, A.M. (2008), "Testing not‐so‐obvious models of healthcare quality", International Journal of Health Care Quality Assurance, Vol. 21 No. 2, pp. 159-174. https://doi.org/10.1108/09526860810859021