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The aim of this paper is to build a comprehensive conceptual model to understand and measure variables affecting patient satisfaction‐based healthcare quality.

A total of 24 articles from international journals were systematically reviewed for factors determining patient satisfaction and healthcare quality.

Patient satisfaction is a multi‐dimensional healthcare construct affected by many variables. Healthcare quality affects patient satisfaction, which in turn influences positive patient behaviours such as loyalty. Patient satisfaction and healthcare service quality, though difficult to measure, can be operationalized using a multi‐disciplinary approach that combines patient inputs as well as expert judgement.

The paper develops a conceptual model that needs to be confirmed empirically. Also, most research pertains to developed countries. Findings are presented that may not be generalized to developing nations, which may be quite different culturally.

The paper has direct implications for health service providers. They are encouraged to regularly monitor healthcare quality and accordingly initiate service delivery improvements to maintain high levels of patient satisfaction.

The paper collates and examines recent healthcare quality study findings. It presents a comprehensive, conceptual model encompassing research work and a holistic view of various aspects affecting patient satisfaction and healthcare quality. Although a large amount of healthcare quality research has been done, each studying a particular service, this paper comprehensively brings together various research findings.

The purpose of this paper is to clarify and explain patient-centered health choices, facilitating health-care providers’ service orientation.

Extensive literature review has been done to extract seven constructs (five dimensions of SERVQUAL, perceived service cost (PSC), and reference) and their underlying 28 items to be quantified. A survey of 201 health consumers was conducted to rate those variables and their constructs. Descriptive statistics and structural equation modeling are utilized to delineate and explicate factors.

The confirmatory factor analysis demonstrated that responsiveness has the highest predictive power in explaining hospital choice intention. However, PSC, the only construct, is not statistically significant. The models are considered to have satisfactory reliability, validity, and acceptable fit.

Since the study was administered in Comilla city, the generalizations should be exploited carefully. Future studies can be carried out on the behavioral patterns of patients and attitudes of health-care providers with respect to the discussed factors and variables.

The result highlights patients’ service expectations that can be carefully and creatively applied in the service marketing program, improving doctors’ and nurses’ service orientation, developing physical evidence, and managing references to communicate service value to patients.

What health consumers emphasize and how they incorporate service quality dimensions into hospital choice intention has stayed almost unexplored in the existing literature in Bangladesh. This study provides valuable insights into the meaning of patients’ choices, which will help practitioners and researchers to formulate marketing strategies that improve health-care outcomes and are acceptable to patients.

With a population of 472 million, Generation Z in India is the largest in the world. This chapter studies the demographic breakdown of the members of Generation Z, their political and social concerns, their career aspirations, their workplace preferences, and the changing consumer attributes. The research design for this study incorporated a qualitative approach comprising of four focus group discussions (see Appendix). Members of Generation Z in India show common behaviours and preferences with their counterparts around the world. However, members of Generation Z in India have clear opinions and ideas of how youth can contribute to a developing nation like India.