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The study applies the principles behind the SERVQUAL model and uses Donabedian’s framework to compare and contrast Malta’s public and private hospital care service quality. Through the identification of 16 service quality indicators and the use of a Likert‐type scale, two questionnaires were developed. The first questionnaire measured patient pre‐admission expectations for public and private hospital service quality (in respect of one another). It also determined the weighted importance given to the different service quality indicators. The second questionnaire measured patient perceptions of provided service quality. Results showed that private hospitals are expected to offer a higher quality service, particularly in the “hotel services”, but it was the public sector that was exceeding its patients’ expectations by the wider margin. A number of implications for public and private hospital management and policy makers were identified.

Saudi Arabian hospital performance, vis‐à‐vis patient satisfaction with service provision, has emerged as a key policy and planning concern. Keeping in view public and private hospital service quality, this article seeks to provide guidelines to the on‐going Saudi Arabian health service reorganization, which emphasizes decentralization, bed‐capacity expansion, research‐based policymaking and initiatives in the health insurance sector.

The article outlines an empirical study that compares patient satisfaction with service quality in Saudi Arabian public and private sector hospitals. The authors employ a stratified random sample (1,000 inpatients) from five Saudi Arabian public and five private hospitals. Data were collected through questionnaire using the SERVQUAL scale. For reducing the language bias the questionnaire was translated into Arabic. The response rate was 74.9 percent. Data were analyzed using SPSS and appropriate descriptive and inferential statistical techniques.

Cronbach's alpha for five service‐quality dimensions (tangibles, reliability, responsiveness, safety and empathy) were high and the SERVQUAL instrument proved to be reliable, valid and appropriate. The results showed that sex, education, income and occupation were statistically significant in influencing inpatients' satisfaction, and all the null hypotheses were rejected. Only inpatient age was not significant.

The study highlights service quality influence in the design of broader healthcare strategies for Saudi Arabian public and private hospitals. It demands that management researchers and analysts must identify regional service quality consistencies and related inpatient demographic indicators.

The study offers some insights into, and guidance for, hospital quality assurance in Saudi Arabia in general and the urban hospital setting in the Middle‐East in particular.

The aim of this article is to examine the differences in service quality between public and private hospitals in Turkey.

This study applies the principles behind the SERVQUAL model and compares Turkey's public and private hospital care service quality. The study sample contains a total of 200 outpatients. Through the identification of 40 service quality indicators and the use of a Likert‐type scale, two questionnaires containing 80‐items was developed. The former measured patients' expectations prior to admission to public and private hospital service quality. The latter measured patient perceptions of provided service quality.

The results indicate that inpatients in the private hospitals were more satisfied with service quality than those in the public hospitals. The results also suggest that inpatients in the private hospitals were more satisfied with doctors, nurses and supportive services than their counterparts in the public hospitals. Finally, the results show that satisfaction with doctors and reasonable costs is the biggest determinants of service quality in the public hospitals.

Consequently, SERVQUAL, as a standard instrument for measuring functional service quality, is reliable and valid in a hospital environment.

The purpose of this paper is to determine accreditation effects on Iranian military hospital health service quality through nurses’ viewpoints.

The paper is a cross-sectional questionnaire-based study. Sampling drew from a hospital nurse census (n=160). Descriptive statistics were used to analyze participant demographics and nurses’ views. Linear regression analysis determined the independent variables’ overall effect on the accreditation quality results dimension (dependent variable).

From the nurses’ viewpoints, accreditation effects on services quality mean score was 3.60±0.61. Linear regression analysis showed that leadership and quality management were identified as the most important accreditation quality predictors. The R² value (0.698) showed that nearly 70 percent of the dependent variable changes were affected by the independent variables.

This study gives hospital managers a deeper insight into accreditation and its effects on military hospital service quality. Military hospitals benefit from military organization such as hierarchy and command chain, so managers should employ these characteristics to adopt appropriate policies to promote human resource management as a competitive advantage. Furthermore, results will guide public and private hospital managers on how to manage organizational variables that benefit from accreditation.

Accreditation was introduced as a hospital quality improvement program. However, implementing accreditation programs should be cost-effective. Hospital managers and employees should feel that accreditation can improve service quality. Nurses had positive viewpoints about accreditation and its effects on military hospital service quality.

Although quality orientation is one of the main priorities of any progressive organization, quality evaluation in organizations providing services such as hospitals is one of the key challenges, because in this sector quality is determined by many intangible factors. Applying the service quality gap model is one of the common tools for quality evaluation in the service sector. This paper seeks to evaluate this issue.

The present descriptive study was carried out through a cross‐sectional method in 2008. The participants of this study were patients who had been referred to Kerman University of Medical Sciences hospitals. The sample comprised 385 patients, the data were collected by SERVQUAL as a standard questionnaire, and data analysis was carried out on 385 completed questionnaires.

In all five dimensions of quality, a gap was observed between patients' perceptions and expectations as follows: Assurance: −1.28, Empathy: −1.36, Responsiveness: −1.80, Tangibles: −1.86 and Reliability: −1.69. A paired T‐test showed that the differences between quality perceptions and expectations are significant (p value<0.05). Based on the findings of this research, the hospitals in the study did not meet the expectations of patients and were unable to provide health care services according to patients' expectations. Hence rearranging the service delivery and deploying better facilities and equipment in order to decrease the gap between patients' perceptions and expectations may be helpful.

The paper reports an original application of the SERVQUAL approach to hospital services of a developing country.

This study aims to explore the empirical correlation between patient flow issues, quality of green health services and patient satisfaction in specialist medical department factors from patients’ perspectives as service consumers.

This research is a type of nonintervention empirical research that uses an open survey to explore the views and experiences of users of specialist medical department services. The targeted population is hospital patients included in the top five national PERSI (Indonesian Hospital Association) Award 2022 Green Hospital Category, with a total number of respondents of 572 people. This study uses the partial least square-structural equation modeling analysis method with the SmartPLS application.

Patient flow problems generally affect the quality of eco-friendly health services, except for the waiting time problem, which affects service quality. It should be understood as a top priority for patients to receive services from medical specialists without risking time as a core service aspect from the patient’s perspective. In addition, all variables in eco-friendly hospital services affect patient satisfaction, except in the case of visits to specialist medical departments, which do not affect medical support services and hospital practices that are responsive to the delivery of care services resulting from medical support services that are inseparable in integrated services as well as health care following medical ethics.

This study has a novelty in understanding the implications of green practice in determining patient satisfaction in medical specialist department as the epicenter of hospital services and the main object of assessment for the quality of hospital services.

The purpose of this study is to capture patients' and employees' perception of quality of care in the Indian private hospitals and to find the possible perceptual gaps between both the groups.

Authors have referred to the Victorian patient satisfaction monitoring (VPSM) scale and studied the responses of 327 patients and 327 employees collected from six private Indian tertiary care hospitals. SPSS v26 software was used to conduct the data reliability test, descriptive analysis and Mann–Whitney U test.

Authors have found significant differences in perceptions of quality of care between the patients and employees in the Indian hospitals. Employees have high positive perceptions towards the provided medical care whereas the patients have less favourable perceptions for many quality indicators.

This study findings help the healthcare managers, practitioners and healthcare workers of the Indian hospitals to understand the perceptions of both the employees and the patients towards healthcare quality elements and help to reduce the existing perceptual gap in the process of providing quality healthcare services.

To the best of authors knowledge, this is one of the pioneering studies conducted in Indian healthcare industry to capture and compare the perceptions of both the employees' and the patients' perceptions of various quality of care elements. This study highlighted the existing perceptual gap between the employees and the patients on various healthcare quality elements and indicated the critical areas for improvement to provide high quality healthcare services.

The purpose of this paper is to investigate patients’ views toward the perceived service quality of public and private healthcare service providers. Determinants of healthcare service quality were compared by carrying out a GAP analysis to equate perceived and expected services and examined differences in the service quality.

The study sample comprises 310 inpatients of public and private healthcare service providers. Self-administered questionnaires were used along a five-point Likert scale and analyzed through the Statistical Package for Social Sciences. GAP analysis was used to observe the difference between expectations and perceived service quality.

A cross-sectional study revealed significant quality gaps between the expected and perceived services of public and private healthcare service providers; conversely patients’ expectations are not fully met in both types of hospitals. Private hospitals surpassed in terms of overall perceived service quality from their counterparts. Perceived services were found better in terms of physician medical services in public sector hospitals, while rooms and housekeeping services were found better in terms of private sector hospitals.

The result can be used by both public and private healthcare service providers to restructure their quality management practices which could only be possible through effective management commitment, regular patients’ feedback and translucent complaint procedures.

The study conceptualizes the expected and perceived hospital service quality dimensions as an eight-dimensional framework. A comparison between public and private sector hospitals is made to get a better understanding about the differences in the perceived healthcare services among two sectors. Consequences of the study will aid hospital managers and policy makers to get a fuller picture of healthcare services in order to contrive enhancement practices.

This article initially aims to explore the factors of every quality construct of the 5Qs model of service quality and, second, identify the significant factors affecting the total quality of e-healthcare services and its association with consumer satisfaction using a multidimensional hierarchical 5Qs model of e-healthcare service quality.

Questionnaire-oriented research was performed at three public hospitals of Punjab and Chandigarh. In total, 53 variables were covered in all quality constructs for data collection from the designated public hospitals. The respondents who agreed to have knowledge regarding e-Healthcare services and were availing these services were included in the study. The analysis comprised structural equation modeling technique using AMOS 21.

The outcomes suggest that the 5Qs model is more comprehensive and can be used to evaluate service quality perceptions using e-Healthcare services. The research identified 11 sub-dimensions for the five quality constructs of the 5Qs model, representing total quality, which is primary to consumer satisfaction. “Overall objectivity” and “technical objectivity” defined the quality of object. The quality of process of e-Healthcare services was characterized by “functionality,” “timeliness” and “responsiveness.” Quality of infrastructure was defined by “technical infrastructure,” “physical infrastructure,” “manpower skills” and “organizational infrastructure.” “Manner of interaction” and “timely interaction” defined the quality of interaction. The atmosphere was represented by only one factor. The results also suggest that quality of infrastructure, quality of interaction and quality of atmosphere play the most significant role in total quality leading to consumer satisfaction.

Theoretical implications: The multidimensional hierarchical model will help the researchers study the e-Healthcare service quality in a more organized manner, and the outcomes of this study can be linked with that of future studies for more generalized application in other public hospitals. The sub-dimensions of each quality construct of the 5Qs model can be applied in private hospitals, and the hierarchical model can be tested in different industries to measure service quality perceptions of the consumer

The outcomes of the study can be applied in various public sector hospitals to redesign the e-Healthcare services based on consumers' perception for better consumer satisfaction and quality services. This paper identifies the role of each quality construct in e-Healthcare services for improvement in the total quality, which in turn will lead to higher satisfaction for the consumers.

In this study, the original 5Qs model has been used for the first time in a new instrument to understand better and design quality e-Healthcare services. The paper explores the sub-factors of each quality construct and its significance in measuring the total quality.

While much is known generally about predictions of customer‐perceived service quality, their application to health services is rarer. No attempt has been made to examine the impact of social support and patient education on overall service quality perception. Together with six quality dimensions identified from the literature, this study seeks to provide a more holistic comprehension of hospital service quality prediction. Although 79 percent of variation is explained, other than technical quality the impact of the remaining factors on quality perception is far from constant, and socio‐economic variables further complicate unpredictability. Contrary to established beliefs, the cost factor was found to be insignificant. Hence, to manage service quality effectively, the test lies in how well healthcare providers know the customers they serve. It is not only crucial in a globalized environment, where trans‐national patient mobility is increasingly the norm, but also within homogeneous societies that appear to converge culturally.