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The overall purpose of this empirically validated research paper is to determine factors that impact the success of using social media channels by consumers for salvaging health-care information by integrating constructs of the information system (IS) success model, e-health service quality and perceived usefulness during pre- and post-COVID settings.

Online survey responses of 243 consumers for study 1 and 184 consumers for study 2 were validated using factor analysis to understand consumers’ attitudes toward social media use. Constructs from existing literature and theories have been extracted to develop the proposed model, which has been empirically validated through statistical tests. A paired-samples t-test was also conducted to compare the customer satisfaction mean of pre- and post-COVID conditions; and word of mouth (WOM) for pre- and post-COVID conditions.

The outcome of this study supports that service quality and information quality conclusively influence customer satisfaction of consumers for health-care information among respondents pre COVID, and service quality, perceived usefulness and information quality conclusively affect customer satisfaction of consumers for health-care information among respondents post COVID. Furthermore, the e-health service quality contributes noteworthy in shaping the consumers’ satisfaction with social media usage for study 2 and information quality for study 1. A paired-samples t-test revealed that the two groups behaved significantly differently for customer satisfaction and WOM in the two groups.

At prima facie, this study has a geographical limitation for the sample size. The respondents for the online research were from the urban suburb of Bengaluru, India. The data collection has not focused on any precise social media channel.

Identification and comprehension of constructs that influence consumer satisfaction related to social media usage for health-care information can assist health-care managers in developing appropriate strategies for consumers to maximize social media usage. Moreover, this study provides an insight into the consumer’s perception of using social media channels for seeking health-care information.

This study recommends an empirically validated model for the success of social media in a consumer setting for the health-care scenario. This research is a unique attempt that inspects social media satisfaction by adapting constructs from existing theories of the IS success model, e-health service quality and perceived usefulness.

With challenges in health-care facilities management (FM) and adequacy of health-care resources constraints in most developing countries, improving patient’s health-care experience has become of strategic importance in public health-care delivery. This paper aims to investigate the mediating effect of adequacy of health-care resources on the relationship between the quality of health-care FM services and patient’s health-care experience.

This cross-sectional study adopts a quantitative approach based on a questionnaire survey conducted on 660 patients of three teaching hospitals in Ghana. In total, 622 valid questionnaires were used for data analysis using partial least squares structural equation modelling.

The mediating effect of adequacy of health-care resources on the relationship between responsiveness and tangibility and patients’ health-care experience were supported, while that of empathy, reliability and assurance were not supported. The relationship between and adequacy of health-care resources and patients’ health-care experience was also supported.

The study limitation is that it was only the teaching hospitals that were surveyed. In future studies, a comparative analysis can be conducted between both public and private hospitals. Other constructs and relationships such as the mediating effect of the quality of health-care administrative process on the relationship between FM service quality and patients’ health-care experience as well as the moderation effect of adequacy of health-care resource on the relationship between FM service quality and patients’ health-care experience can also be tested. Future studies on the same subject can use health-care workers as the respondents of the study.

The result should inspire health-care managers to prioritize attention on health-care FM to create and sustain a decent health-care environment. Facilities managers should ensure standards are not compromised by keeping health-care resources in good condition through the organisation and management of resources.

To the best of the authors’ knowledge, this paper is one of the pioneer studies to test the mediating effect of adequacy of health-care resources on the relationship between patient’s health-care experience and health-care FM service quality. The proposed framework can be adapted to various sectors and countries as this empirical validation extends knowledge.

The main purpose of this study is to investigate Ishikawa’s statement that “95% of problems in processes can be accomplished using the 7 Quality Control (QC) tools” and explore its validity within the health-care sector. The study will analyze the usage of the 7 QC tools in the health-care service sector and the benefits, challenges and critical success factors (CSFs) for the application of the 7 QC tools in this sector.

In order to evaluate Ishikawa’s statement and how valid his statement is for the health-care sector, an online survey instrument was developed, and data collection was performed utilizing a stratified random sampling strategy. The main strata/clusters were formed by health-care professionals working in all aspects of health-care organizations and functions. A total of 168 participants from European health-care facilities responded to the survey.

The main finding of this study is that 62% of respondents were trained in the 7 QC tools. Only 3% of participants in the health-care sector perceived that the seven tools of QC can solve above 90% of quality problems as originally claimed by Dr Ishikawa. Another relevant finding presented in this paper is that Histograms, Cause and Effect diagrams and check sheets are the most used tools in the health-care sector. The least used tools are Stratification and Scatter diagrams. This paper also revealed that the 7 QC tools proposed by Dr Ishikawa were most used in hospital wards and in administration functions. This work also presents a list of CSFs required for the proper application of the 7 QC tools in healthcare.

This research was carried out in European health-care facilities – and there is an opportunity to expand the study across global health-care facilities. There is also an opportunity to study the use of the tools and their impact on hospital performance using the Action Research methodology in a health-care organization.

To the best of the authors’ knowledge, this is the very first research within the health-care sector that focused on investigating the usage of all the 7 basic tools and challenging Dr Ishikawa’s statement: “95% of problems in processes can be accomplished using the 7 Quality Control (QC) tools” from his book “What is Quality Control?” The results of this study represent an important first step toward a full understanding of the applicability of these tools in the health-care sector.

This paper aims to measure the perception of patients towards quality of services in public health care centres in rural India.

A 23‐item scale that tested well for reliability and construct validity was employed for the study. Mixed sampling technique was employed to select the sample. A total of 500 respondents from Eastern, Western and Central regions of Uttar Pradesh were surveyed.

The survey instrument had an overall Cronbach's alpha value of 0.96 and was able to discern differences across various socio‐demographic characteristics of the respondents. The opinions of the respondents towards health care quality were not very favourable. Negative scores were obtained on items, “availability of adequate medical equipments” and “availability of doctors for women”. Education, gender and income were found to be significantly associated with user perception.

The current study was limited to measuring the perceived quality of health care services in public centres only. Moreover, as the study was confined to the state of Uttar Pradesh so caution has to be exercised in making generalisations for the entire nation.

Valuable insights into the quality of services at public health care centres in rural India have been provided by the study.

Knowledge about the patients' perception towards health care quality is one of the most important steps towards introducing reforms in the health care sector. Identification of areas that require immediate improvement in public health care centres provides valuable guidance to the policy makers who can devise suitable strategies to make these centres more sensitive and responsible to the needs of the rural population. This can lead to restoration of faith in public health care centres and subsequently their increased consumption.

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.

Examines how computers and quality assurance are being used to improve the quality of health care delivery. Traditional quality assurance methods have been limited in their ability to effectively manage the high volume of data generated by the health care process. Computers on the other hand are able to handle large volumes of data as well as monitor patient care activities in both the acute care and ambulatory care settings. Discusses the use of computers to collect and analyse patient data so that changes and problems can be identified. In addition, computer models for reminding physicians to order appropriate preventive health measures for their patients are presented. Concludes that the use of computers to augment quality improvement is essential if the quality of patient care and health promotion are to be improved.

This paper aims to examine the issue of quality of care in the US managed care system and to compare state‐level policies and programs. Specifically, it aims to describe five states which are making the most quality of care improvements.

This study examines the literature to identify states' care quality rankings. Additionally, five state case studies are presented to illustrate various programs approach to quality.

The paper finds that some states are better than others in their strategies to enhance quality of care. California, Florida, Maryland, Minnesota and Rhode Island are considered among the best. Thus, their programs are described.

From a research perspective the study brings a renewed focus on various methods in which states invest to improve residents' quality of care.

From a practical standpoint, since quality of care is an important topic and interesting to all stakeholders in health care – policymakers, consumers, providers, and payers – readers can use the study's results to compare states' strategies and develop new ways to increase quality.

This study's value lies in the way it helps states to compare their performance over time and against other states as they make improvements to enhance quality.

The purpose of this paper is to examine the impact of lean management (LM) on operational performance (OP) in the context of health care in Jordanian private hospitals. LM is measured using four bundles: total quality management (TQM), human resource management (HRM), just-in-time system (JIT) and total productive maintenance (TPM). The study also investigates the effects of OP dimensions on hospitals’ business performance (BP).

The study is based on survey data collected from 260 respondents from 25 private hospitals in Jordan. Validity and reliability analyses were performed using SPSS and Amos, and the study hypotheses were tested using structural equation modeling.

The study found that the TQM bundle affects quality performance positively, but does not affect efficiency and accessibility performances, while the HRM bundle positively affects all OP dimensions. Furthermore, the JIT bundle positively contributes to both efficiency and accessibility performances, while the TPM bundle positively influences quality and accessibility performances. Moreover, the results have demonstrated that OP dimensions of quality and accessibility significantly and positively affect hospitals’ BP.

This study is one of the first to adapt the four lean bundles popularized in the manufacturing sector and apply them in a health-care context. It examines the effects of the four lean bundles on hospitals’ OP in terms of efficiency, quality and accessibility. In addition, the study demonstrates the role of OP dimensions in improving private hospitals’ BP.

The purpose of this article is to analyze and compare between the frameworks of performance measurement in primary health care in the world. The subject of search is to compare if the frameworks of performance measurement in primary health care have an influence on performances of health centers.

We conducted a systematic review of the literature to (1) identify the conceptual framework for measuring quality management systems, (2) assess the effects of conceptual framework on quality improvement and quality of care outcomes. We opted for the frameworks that are more cited in the literature and we analyzed and compared between these frameworks.

Eight dimensions were identified for assessing performance in Primary Health Care Facilities “PHCF” in more than 50% frameworks: Effectiveness, Safety, Accessibility, Equity, Efficiency, Acceptability, Patient Centeredness and Timeliness.

The limits of this study can be represented by the following elements: (1) lack of exhaustiveness with regard to the current Frameworks. (2) The evaluation of reliability and validity of the qualitative studies remains difficult to appreciate. (3) Most of the evaluation tools of the primary health care are not validated yet. (4) The difference in performance levels between countries, especially for the developed countries and the multitude of the frames of measure of performance, limits the comparability of the results.

This study provides a conceptual and descriptive literature on the different conceptual frameworks for performance measurement in primary health care, and a practical and useful tool for comparison between the different conceptual frameworks. Several organisations of accreditation or certification introduced, developed, incorporated and checked the indicators of clinical quality in the organizations of health care. Some studies revealed links with the governance, the access, the continuity, the coordination, the efficiency and the strength primary care (Dionne Kringos, 2018). Improvements in the quality of care have been observed in the results of accreditation and certification bodies regarding hospital infection control infrastructure, organization and performance.

Even if the links are not established within the framework of a scientific research, quality approaches are generally recognized as an essential tool to help establishments to improve the quality and the safety of the patients. Until now, it is not still common to make evaluation of the quality of care in the “PHCF” to obtain the relevant information. The necessity of having performance measurement tools, which puts in coherence the piloting of the operational level with the strategy, to integrate the organizational objectives into the measures of operational performances and make estimate its structures towards a real management by the quality.

The purpose of this paper is to explore the key aspects of service quality within the outpatient context. The secondary aim is to compare views on quality of health service by Caucasian and non-Caucasian patients in Australia.

A mixed-method approach was adopted for this study. Qualitative data were collected from 40 patients to develop a scale for measuring health service quality. Quantitative data were collected using self-administered questionnaires available in English, Arabic, Persian, Chinese and Vietnamese. A total of 447 patients in six outpatient clinics completed the survey and data were analyzed using the structural equation modeling technique.

The qualitative findings determined eight dimensions of quality for outpatient care as follows: doctor professionalism; doctor empathy; doctor expertise; treatment outcome; staff concern; timeliness; tangibles; and operation. The quantitative findings indicated that factors related to technical aspect of care, including doctor expertise and treatment outcome were assumed the strongest predictors of overall health care quality in both Caucasian and non-Caucasian groups. Furthermore, no significant discrepancy was found between these two groups’ ratings of overall service quality and satisfaction with care.

The study captured ethnically diverse patients’ perspectives on health service quality and highlighted the significance of technical quality, which is generally neglected in service quality measures.