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This study aims to examine the perceptions and evaluations of Muslim COVID-19 survivors and health workers regarding the halal, business and ethical attributes of hospitals during their interactions related to COVID-19 treatment.

Descriptive qualitative research with semi-structured online interviews was used to gather insights from COVID-19 survivors and health workers who treated COVID-19 patients. The findings were then compared with existing literature on hospital services and Sharia attributes.

The study found that patients and health-care workers in hospitals are concerned about whether the hospital follows Sharia law, the quality of health-care and hospital services and the ethical conduct of hospital staff. This is especially true during the COVID-19 pandemic, when patients are more anxious about religious conduct and the afterlife.

Hospitals need to address halal attributes in all aspects of their services for Muslim patients and business attributes such as standard health-care quality, service quality and ethical attributes. Participants indicated that when these needs are met, they are more likely to revisit the hospital and recommend it to others.

This study contributes to understanding the expectations of Muslim patients regarding hospital services that meet Islamic ethical and business requirements. Using the COVID-19 pandemic as a case study broadens the understanding of how to better serve Muslim customers.

It is over 20 years since the publication of the Wanless Report, “Securing our Future Health: Taking a Long-Term View”. The Wanless Report argued that the National Health Service (NHS) would survive in its current form only if the population became “fully engaged” with it.

In this discussion paper, the authors explored what “fully engaged” meant to Wanless, what it might mean now (allowing for the impact of the anti-vaxxer movement) and what policymakers could do to enhance public engagement.

Although the Wanless Report neatly fitted into other long-term thinking about the NHS, it was unique in that it built economic models to predict the costs and impact of different patterns of NHS performance. Wanless predicted that people’s poor levels of health would put considerable pressure on the NHS. This pressure could swamp efforts to meet healthcare targets and improve health outcomes, despite its sizeable investment of money. Wanless set out three possible scenarios for public engagement with the NHS: solid progress, slow uptake and fully engaged.

The authors pose questions for policymakers and practitioners. Would a reboot of the Wanless approach be worth the effort for policymakers? If yes, how would it differ from the original? The NHS faces the whole of society; could it be the vehicle for engaging the anti-vaxxer public with the truthfulness of medical science, and will it be this, that is, Wanless' enduring legacy?

The exploration of the Wanless Report is complicated (at least for the time being) by the rise of the anti-vaxxer movement’s resistance to health promotion and mistrust of part of the NHS.

The scope of this study is to explore and summarize the pool of dimensions, models and measurement techniques of service quality used in healthcare services and to propose a comprehensive conceptual model for practitioners and researchers.

This research employs a comprehensive review of available literature by using multiple keywords on different electronic repositories using the recommendations of the PRISMA approach for the selection of articles. A critical analysis of available studies helped in compiling a list of core service quality dimensions in healthcare services.

This paper presents a comprehensive account of different dimensions and their measurement items used by various researchers to assess service quality in healthcare systems. Most of the researchers have used SERVQUAL model either in its original or modified form while the others have proposed and used totally different dimensions to assess the service quality in healthcare. Many dimensions are just an existing dimension of SERVQUAL that has undergone a name change while others are completely new. The dimensions used by many researchers have items drawn from more than one dimension of SERVQUAL model. The availability of so many dimensions and models adds to the confusion that researchers and practicing managers experience when determining the appropriate model to be used in their work. To mitigate this confusion, there is a need to develop a comprehensive model; the current work is an attempt to meet this need. Through our analysis, we identify four major service quality dimensions: clinical quality, infrastructural quality, relationship and managerial quality and propose a model named CIRMQUAL.

After exploring all available models in the domain of healthcare, this research presents the best possible areas to enhance the quality of healthcare services. It also enhances the research insights for academicians and working professionals by developing and proposing a comprehensive model for measuring healthcare service quality. The proposed model covers almost all of the service quality dimensions used by other researchers and will make the choice of dimensions/model easy for the future researchers/practitioners interested in measuring and improving the quality of services offered by their healthcare units. Such a comprehensive model has not been developed by any researcher thus far.

This study aims to investigate the prevalence and characteristics of dysphagia among adults with intellectual disabilities (ID) referred to speech and language therapy for swallow assessment, providing information on the demographic characteristics, referral trends, co-occurring health conditions and reasons for referrals highlighting the complex health-care needs of this population.

This study used a standardised patient data extraction method over a six-month period involving 74 adults with ID referred to speech and language therapy for swallow assessment.

This study revealed a high prevalence of dysphagia among adults with ID referred to speech and language therapy for swallow assessment. Increasing age and severity of ID were associated with an increased likelihood of swallowing difficulties. Co-occurring health conditions such as mobility difficulties, epilepsy and gastrointestinal conditions were prevalent, suggesting that adults with ID and swallowing difficulties are often living with complex health conditions. Choking incidents and hospital admissions were primary reasons for referral.

This study stresses the pressing need for strategies to mitigate risks associated with choking incidents and hospital admission among this vulnerable population. Possible limitations include a reliance on referral and the focus being on a single service over a short period which may limit generalisation to the wider ID population.

This study emphasises the need to understand each person’s unique profile of health needs and the value of a specialised speech and language therapy service.

The importance of increasing awareness among caregivers and medical experts is highlighted.

The findings underscore the importance of tailored assessment, caregiver involvement and heightened interdisciplinary awareness to effectively manage dysphagia in individuals with ID.

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 study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.

The purpose of this paper is to investigate user satisfaction with digital health solutions by identifying and prioritizing different service attributes on the basis of their impact on improving user satisfaction.

Through a literature review and interviews with health professionals and patients, 20 attributes of digital health services provided in Italy have been identified. User satisfaction with these attributes has been evaluated by adopting the Kano model’s continuous and discrete analyses.

The findings reveal the essential attributes of digital health services that meet users' expectations, identify the attributes that users appreciate or dislike having and highlight unexpected attributes that lead to a significant boost in satisfaction when provided.

This study demonstrates the efficacy of the Kano model in assessing the nonlinear correlation between user satisfaction and the quality of digital health services, thus contributing to fill a gap in the literature in this area. The main limitation of this work is the use of a non-probabilistic sampling method.

This research suggests healthcare institutions and organizations consider user preferences when designing digital health solutions to increase their satisfaction. The results indicate different effects on user satisfaction and dissatisfaction for different categories of attributes in the Italian context.

Previous works studied customer satisfaction with digital health, assuming a linear relationship with service quality, or investigated consumer adoption intentions focusing on the technological factors. This work advances available knowledge by analyzing the nonlinear relationship between digital health attributes and users’ satisfaction and dissatisfaction.

A key feature of human rights in health is access to safe, effective and affordable medicines. Pharmacovigilance is advocated for monitoring intended/unintended effects of medicines to assure their safety. The purpose of this paper is to synthesize knowledge about supply chain impediments to safe medicines in developing nations and contribute to future development of research in this field.

This paper conducts a structured literature review based on Preferred Reporting Items for the Systematic Reviews and Meta-Analyses guidelines. It aims at profiling supply chain impediments to safe medicines in developing nations by reviewing 46 recent pharmacovigilance-specific papers published between 2005 and 2020.

Analysis of reviewed articles identified criticality of supply chain impediments that affect constituents across pharmaceutical in developing nations, which still struggle to maintain robust national pharmacovigilance systems due to lack of awareness, policy and practices.

Research results can be applied by pharmaceutical industry decision-makers and drug safety professionals in developing nations. Because the review is qualitative in nature, its implication ought to be tested after actual implementation.

This review can help identify underinvestigated impediments and methods to aid in developing new pharmacovigilance knowledge areas in developing nation context.

The review uncovers gaps in global health equity dialogue in developing nations. It also recognizes that macrolevel supply chain impediments exist due to unfair disease burden and health inequities in developing nations.

The paper examines supply chain impediments to safe medicines in developing nations with insights for future pharmacovigilance research. Identifying and classifying supply chain impediments through this review is the first step toward creating effective interventions for these impediments to safe medicines.

Biotech companies stand as key actors in pharmaceutical innovation. The high risk and long timelines inherent with their R&D investments might hinder their access to funding, potentially stifling innovation. This study aims to explore into the appeal of biotech companies to capital market investors, whose financial backing could bolster the growth of the biotechnology sector.

This paper uses a dataset of 774 US publicly listed biotech firms to investigate their risk and return characteristics by comparing them to pharmaceutical firms and a sample of matched non-biotech R&D-intensive firms over the sample period 1980–2021. Tests show that the conclusions remain consistent across diverse methodological approaches.

The paper shows that biotech companies are riskier than the average firm in the market index but outperform on a risk-adjusted basis both the market and a matched group of R&D-intensive firms. This is particularly true for large capitalization biotech, which is also shown to provide a diversification benefit by reducing the downside risk in past crisis periods.

This paper provides insight relevant to the current debate about the overall performance of the biotech industry in terms of policy changes and their impact on small, early-stage biotech firms. While small and early-stage biotech firms are playing an increasing role in scientific innovation, this study confirms their greater vulnerability to financial risks and the importance of access to capital markets in enabling those companies to survive and evolve into larger biotech.

There is increasing interest in the UK in developing environments that support people who are neurodiverse. This paper aims to report on a project to develop a cognitively supportive environmental assessment tool to improve the design of health centres, where the majority of National Health Service consultations take place, for all users, including people living with dementia and those who are neurodiverse.

A three-stage process was used: a literature review; the development of a matrix of key design features for people living with dementia, autism and other neurodiverse conditions; and the development of an environmental assessment tool and guide for users, which included easy-to-read versions to maximise service user involvement.

The overarching concepts of dementia-friendly design can be adapted to create designs for everyone, including those who are neurodiverse.

There is a paucity of research in environmental design for primary care from the patient’s perspective, and, more generally, further research on design for adults with learning disabilities and autism is needed.

The tools are free to download. With adaptation, they have potential applicability across health and care settings.

This project has confirmed that the principles of dementia-friendly design are applicable, with modifications, to a wider group of neurodiverse people. Critically, each person’s response to sensory stimuli is individual rather than determined by their condition.