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To examine the major factors affecting patients' perception of cumulative satisfaction and to address the question whether patients in Egypt and Jordan evaluate quality of health care similarly or differently.

A conceptual model including behavioural dimensions of patient‐physician relationships and patient satisfaction has been developed. As the empirical research setting, this study concerns three hospitals in Egypt and Jordan. The survey instrument in a questionnaire form was designed to achieve the research objectives. A total of 48 items (attributes) of the newly developed five quality dimensions were identified to be the most relevant. A total of 224 complete and usable questionnaires were received from the in‐patients.

Hospital C has above‐average total and dimensional qualities and patients are the most satisfied in accordance with all dimensions of services. Hospitals A and B have under‐average total qualities as the majority of patients are not satisfied with services. Comparing hospitals A and B, in the majority of dimensions (with the exception of Q5), the quality in hospital B is higher than in hospital A. Patients' satisfaction with different service quality dimensions is correlated with their willingness to recommend the hospital to others. A cure to improve the quality for health‐care services can be an application of total relationship management and the 5Qs model together with customer orientation strategy.

The result can be used by the hospitals to reengineer and redesign creatively their quality management processes and the future direction of their more effective health‐care quality strategies.

In this research a study is described involving a new instrument and a new method which assure a reasonable level of relevance, validity and reliability, while being explicitly change‐oriented. This study argues that a patient's satisfaction is a cumulative construct, summing satisfaction with five different qualities (5Qs) of the hospital: quality of object, processes, infrastructure, interaction, and atmosphere.

The purpose of the study is to examine and develop a better understanding of triangle relationship between quality, customer relationship management (CRM) and customer loyalty (CL) which might lead to companies' competitiveness (CC).

A research model (5Qs) was designed to measure satisfaction and loyalty. This model is based on two conditions: the customer database and CRM strategy are well structured; and that management control systems have the capacity to produce required data for the analysis.

Changing in quality over time within various segments or related to specific products or categories of products/services can be used as an indicator the level of loyalty. By linking infrastructure, interaction and atmosphere indicators to the quality of object and processes, researchers and managers can document which changes in CRM strategy improve the overall satisfaction and loyalty, hence the ultimate outcomes.

Key ways to build a strong competitive position are through customer relationship management (CRM) and product/service quality. A company has to create customer relationships that deliver value beyond the provided by the core products. This involves added tangible and intangible elements to the core products thus creating and enhancing the “product surrounding”. One necessary expecting result of the creation of value added is customer loyalty. This is an important function to ensure the fulfilment of given customer requirements and companies profits, survival and competitive positioning.

In this study a new technical‐functional 5 qualities model (5Qs) is created and utilized to measure the quality and loyalty. The paper suggests how to incorporate the infrastructure, interaction and atmosphere indicators into the quality of object and processes to identify changes and improvement in CRM strategies.

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.

The aim of this research is to examine the major factors affecting patients' perception of cumulative satisfaction and to address the question whether patients in Istanbul evaluate quality of health care to be similar or different to that of the Kazakhstani, Egyptian and Jordanian patients.

A conceptual model including behavioural dimensions of patient‐physician relationships and patient satisfaction has been used for approach. As the empirical research setting, this study concerns people who are or were patients once in Istanbul hospitals.

The questionnaire was taken from another research regarding Egyptian and Jordanian medical clinics. The same research was also done by the authors in Kazakhstan in 2008. A total of 48 items (attributes) of the newly developed five quality dimensions (5Qs) by the second author were identified to be the most relevant.

The results of this study can be used by the hospitals to reengineer and redesign creatively their quality management processes and the future direction of their more effective health care quality strategies.

A 5Qs model to measure the patients' satisfaction of medical care is proposed as for previous studies for Kazakhstanian, Egyptian and Jordanian hospitals. As mentioned previously the 5Qs model encompasses technical, functional, interaction, infrastructure and the atmosphere qualities and services. The results can be used by the hospitals to reengineer and redesign creatively their quality management processes and the future direction of their more effective health care quality strategies.

Use of technology for quality healthcare services has developed into a new field known as “e-Healthcare services.” Healthcare providers often judge their quality of services with consumer satisfaction. With e-Healthcare services, consumer satisfaction is influenced by the quality of healthcare services provided and the demographic characteristics. The purpose of the present case study is to recognize the important predictors of quality, which are significant for consumer satisfaction with e-Healthcare services by using Zineldin's 5Qs model. It also aims to find the strength of association among the predictors of consumer satisfaction and the demographic characteristics of the respondents.

A questionnaire-based study was conducted at a public (PGIMER, Chandigarh) and a private hospital (Fortis Hospital, Mohali) of Punjab, India, from February 2018 to March 2019. The structured, closed-ended questionnaire, to be marked on a 1–5 point Likert scale, was adapted from Zineldin's 5Qs model and was distributed to the respondents sitting in the waiting halls of the selected hospitals. The respondents comprised of both the patients and their attendants who were aware of e-Healthcare services and were using them.

The analysis identified quality of interaction, quality of hospital atmosphere and quality of object to be the key predictors of consumer satisfaction with e-Healthcare services. The results reveal a strong association between different demographic characteristics and overall consumer satisfaction with e-Healthcare services.

The results suggest that improvements in the quality of interaction, quality of hospital atmosphere and quality of object may result in higher consumer satisfaction with e-Healthcare services. Working on the identified dimensions of quality will help the e-Healthcare providers in identifying functional problems of e-Healthcare services and developing improvement strategies, which will also result in better health and quality outcomes. The results of this study will help the e-Healthcare providers in better segmentation of e-Healthcare consumers based on their demographic characteristics and in developing better marketing strategies.

This paper focuses on the quality of e-Healthcare services only and attempts to identify the quality dimensions, which leads to the satisfaction of e-Healthcare consumers. The identified quality dimensions will help in designing better e-Healthcare services and framing policies. It also highlights the association of demographic characteristics with important quality dimensions.

This paper aims to examine the major factors affecting cumulative summation, to empirically examine the major factors affecting satisfaction and to address the question whether patients in Kazakhstan evaluate healthcare similarly or differently from patients in Egypt and Jordan.

A questionnaire, adapted from previous research, was distributed to Kazakhstan inpatients. The questionnaire contained 39 attributes about five newly‐developed quality dimensions (5Qs), which were identified to be the most relevant attributes for hospitals. The questionnaire was translated into Russian to increase the response rate and improve data quality. Almost 200 usable questionnaires were returned. Frequency distribution, factor analysis and reliability checks were used to analyze the data.

The three biggest concerns for Kazakhstan patients are: infrastructure; atmosphere; and interaction. Hospital staff's concern for patients' needs, parking facilities for visitors, waiting time and food temperature were all common specific attributes, which were perceived as concerns. These were shortcomings in all three countries. Improving health service quality by applying total relationship management and the 5Qs model together with a customer‐orientation strategy is recommended.

Results can be used by hospital staff to reengineer and redesign creatively their quality management processes and help move towards more effective healthcare quality strategies.

Patients in three countries have similar concerns and quality perceptions.

The paper describes a new instrument and method. The study assures relevance, validity and reliability, while being explicitly change‐oriented. The authors argue that patient satisfaction is a cumulative construct, summing satisfaction as five different qualities (5Qs): object; processes; infrastructure; interaction and atmosphere.

The purpose of this paper is to investigate the impact of health-care quality of emergency medical services on brand equity of cardiac institutes by using industry-specific measure, 5Qs model of health-care service quality (HCSQ).

Survey method technique has been used to collect data from the patients availing emergency medical services from 12 cardiac institutes. Effective responses have been received from 393 patients from four localities. Systematic sampling technique has been used to collect data from the respondents. Partial least square structural equation modeling using smartPLS 2.0 has been used to analyze the results.

Findings of the study reveal that HCSQ has weak relationship with hospital brand loyalty but strong relationship with brand image and brand awareness. Furthermore, brand awareness and brand image have strong relationship with brand loyalty. Furthermore, brand image and brand loyalty have strong relationship with overall hospital brand equity but found nonsignificant relationship of brad awareness with overall hospital brand equity.

The principal contribution of the paper is to provide the insight on the impact of emergency HCSQ on brand equity of the private cardiac hospitals. Second, this study is first in branding literature that has used industry-specific scale 5Qs model to measure the service quality of emergency medical care and its impact on private sector cardiac hospital’s brand equity. Previously researchers used generic scales that were insufficient to measure the service quality of specialized industries (Babakus and Mangold, 1992; Carman, 1990; Caro and Garcia, 2007).

This paper aims to examine the major factors affecting patients’ satisfaction and loyalty at a health-care organization in India.

A conceptual model has been developed that includes the behavioural dimensions of total quality management (TQM), patient satisfaction and loyalty. This study is exploratory in nature and has used the existing literature to build the conceptual model.

A solution for improving the quality of health-care services can be found in the application of total relationship management and TQM, together with a customer orientation strategy.

The results can be used creatively by hospitals to re-engineer and redesign their quality management processes and reorient the future directions of their more effective health-care quality strategies.

In this research, a study is described involving a new instrument and a new method which assure a reasonable level of relevance, validity and reliability, while being explicitly change-oriented.

The purpose of this article is to present a comprehensive structural equation based service quality and patient satisfaction model taking into account the patient's condition before and after discharge. The authors aim to test for causality in a sample of patients from United Arab Emirates public hospitals.

Data were collected using questionnaires completed by adults discharged (n=244) from UAE public hospitals. The proposed model consists of five main constructs. Three represent service quality: quality of care (four variables); process and administration (four variables) and information (four variables). There is also one construct that represents patient's status (two variables – health status before admission and after discharge). Finally, there is one construct that represents patient's satisfaction with care (two variables – general and relative satisfaction). Structural equation modeling and LISREL using maximum likelihood estimation was used to test hypothesized model(s)/parameters(s) derived deductively from the literature.

The structural equation modeling representation provides a comprehensive picture that allows healthcare constructs and patient satisfaction causality to be tested. The goodness‐of‐fit statistics supported the healthcare quality‐patient status‐satisfaction model.

The model has been found to capture attributes that characterize healthcare quality in a developing country and could represent other modern healthcare systems. Also, it can be used to evaluate other healthcare practices from patients' viewpoints. The study highlights the importance of healthcare quality as patient satisfaction predictors by capturing other effects such as patient status.