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Unequal social conditions that provide people with unequal opportunities to live healthy lives are considered unjust and associated with “health inequity”. Governing power is impacting people's lives through laws, policies and professional decisions, and can be used intentionally to combat health inequity by addressing and changing people's living- and working conditions. Little attention is paid to how these ways of exercising governing power unintentionally can structure further conditions for health inequity. In this paper, the authors coin the term “governance determinants of health” (GDHs). The authors' discussion of GDHs potential impact on health inequity can help avoid the implementation of governing strategies with an adverse impact on health equality. This paper aims to discuss the aforementioned objective.

The authors identify Governance Determinants of Health, the GDHs. GDHs refer to governance strategies that structurally impact healthcare systems and health equality. The authors focus on the unintended, blind sides of GDHs that maintain or reinforce the effects of socioeconomic inequality on health.

The power to organize healthcare is manifested in distinct structural approaches such as juridification, politicalization, bureaucratization and medical standardization. The authors explore the links between different forms of governance and health inequalities.

The authors' discussion in this article is innovative as it seeks to develop a framework that targets power dynamics inherent in GHDs to help identify and avoid GDHs that may promote unequal access to healthcare and prompt health inequity. However, this framework has limitations as the real-world, blurred and intertwined aspects of governing instruments are simplified for analytical purposes. As such, it risks overestimating the boundaries between the separate instruments and reducing the complexity of how the GDHs work in practice. Consequently, this kind of theory-driven framework does not do justice to the myriad of peoples' complex empirical practices where GDHs may overlap and intertwine with each other. Nevertheless, this framework can still help assist governing authorities in imagining a direction for the impacts of GDHs on health equity, so they can take precautionary steps to avoid adverse impacts.

The authors develop and explore – and demonstrate – the relevance of a framework that can assist governing authorities in anticipating the impacts of GDHs on health inequity.

The institutional conditions of primary care provision remain understudied in low- and middle-income countries. This study analyzes how primary care doctors cope with medical uncertainty in municipal clinics in urban India. As street-level bureaucrats, the municipal doctors occupy two roles simultaneously: medical professional and state agent. They operate under conditions that characterize health systems in low-resource contexts globally: inadequate state investment, weak regulation and low societal trust. The study investigates how, in these conditions, the doctors respond to clinical risk, specifically related to noncommunicable diseases (NCDs).

The analysis draws on year-long ethnographic fieldwork in Pune (2013–14), a city of three million, including 30 semi-structured interviews with municipal doctors.

Interpreting their municipal mandate to exclude NCDs and reasoning their medical expertise as insufficient to treat NCDs, the doctors routinely referred NCD cases. They expressed concerns about violence from patients, negative media attention and unsupportive municipal authorities should anything go wrong clinically.

The study contextualizes street-level service-delivery in weak institutional conditions. Whereas street-level workers may commonly standardize practices to reduce workload, here the doctors routinized NCD care to avoid the sociopolitical consequences of clinical uncertainty. Modalities of the welfare state and medical care in India – manifest in weak municipal capacity and healthcare regulation – appear to compel restraint in service-delivery. The analysis highlights how norms and social relations may shape primary care provision and quality.

This article aims to know the direction of current research based on the previous research in the last ten years (2012–2021).

Text mining was integrated with a network and content analysis as part of the mix methodological approach. The scientific articles, on the other hand, were assembled on Litmaps through web scraping. This process selected 86 articles about medical tourism published between 2012 and 2021. This study employed AntConc, RStudio and Gephi tools for data analysis and visualization.

A total of 138 articles were identified through Litmaps using web scraping and 86 studies met the criteria. The trend of medical tourism research is a positive sign for tourism and health industries; this is the beginning to recognize the importance of elaborating on these two topics. Several researchers have frequently studied issues of destination, hospital, development, quality, stakeholders, surgery, service, economics and policy. Policymakers must establish a medical tourism ecosystem to accommodate all stakeholders in this industry. This study also recommends focusing on supply and institution for medical tourism future research.

This literature review presents research trends on medical tourism in 2012–2021 based solely on articles available on the Litmaps search engine. If the time span is extended and the sources of articles are expanded there will be more literature available for analysis. The articles obtained are also only articles published in English due to the language limitations of the author.

Policymakers must establish a medical tourism ecosystem to accommodate all stakeholders in this industry. Stakeholders must work together to provide medical tourism package therefore people can get their health services while visiting available tourist areas.

The literary study of medical tourism over 10 years is considered the most recent systematic literature review.

The purpose of this paper is to contribute knowledge on ethical issues and reasoning in expert reports concerning healthcare governance, commissioned by the Swedish healthcare system.

An in-depth analysis of ethical issues and reasoning in 36 commissioned expert reports was performed. Twenty-seven interviews with commissioners and producers of the reports were also carried out and analysed.

Some ethical issues were identified in the reports. But ethical reasoning was rarely evident. The meaning of ethical concepts could be devalued and changed over time and thereby deviate from statutory ethical goals and values. Several ethical issues of great concern for the Swedish public healthcare were also absent.

The commissioner of expert reports needs to ensure that comprehensive ethical considerations and ethical analysis are integrated in the expert reports.

Based on an extensive data material this paper reveals an ethical void in expert reports on healthcare governance. By avoiding ethical issues there is a risk that the expert reports could bring about reforms and control models that have ethically undesirable consequences for people and society.

Coronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently, hospitality workers are suffering from the negative aspects of mental health. In the event of such a crisis, this study aims to explore the link between unemployment and home isolation to the willingness to choose electronic consultation (e-consultation) by exploiting psychological ill-being and behavioural intention (BI) with marital status as a moderator.

A quantitative methodology is applied to primary data collected from 310 workers from the hospitality industry through an online survey.

Findings of this study suggest that the usage of the e-consultation service can be adopted using three levels. There are valid reasons to conclude unemployment and home isolation are linked to higher rates of psychological health behaviours, which can result in stigma, loss of self-worth and increased mortality. The adverse effect is higher for single individuals than for married people.

The study focussed on e-consultation, BI coupled with the Fishbein scale and a classification model for the prediction of willingness to choose e-consultation with the extension of Theory of Planned Behaviour (TPB).

Computer-Assisted Learning in Pediatrics Program (CLIPP) and National Board of Medical Examiners Pediatric Subject Examination (NBMEPSE) are used to assess students’ performance during pediatric clerkship. International Foundations of Medicine (IFOM) assessment is organized by NBME and taken before graduation. This study explores the ability of CLIPP assessment to predict students’ performance in their NBMEPSE and IFOM examinations.

This cross-sectional study assessed correlation of students’ CLIPP, NBMEPSE and IFOM scores. Students’ perceptions regarding NBMEPSE and CLIPP were collected in a self-administered survey.

Out of the 381 students enrolled, scores of CLIPP, NBME and IFOM examinations did not show any significant difference between genders. Correlation between CLIPP and NBMEPSE scores was positive in both junior (r = 0.72) and senior (r = 0.46) clerkships, with a statistically significant relationship between them in a univariate model. Similarly, there was a statistically significant relationship between CLIPP and IFOM scores. In an adjusted multiple linear regression model that included gender, CLIPP scores were significantly associated with NBME and IFOM scores. Male gender was a significant predictor in this model. Results of survey reflected students’ satisfaction with both NBMEPSE and CLIPP examinations.

Although students did not perceive a positive relationship between their performances in CLIPP and NBMEPSE examinations, this study demonstrates predictive value of formative CLIPP examination scores for their future performance in both summative NBMEPSE and IFOM. Therefore, students with poor performance in CLIPP are likely to benefit from feedback and remediation in preparation for summative assessments.

The global impact of the COVID-19 pandemic has been well documented, but there is still limited insight into the complex interaction of factors that determine its longer-term effects on the most vulnerable sectors of society. The current study therefore develops an integrated conceptual framework to investigate how consumers' fear of mortality and the perceived risk of severe illness associated with COVID-19 act as critical determinants of consumer food choices and perceived well-being.

An online survey was utilized to collect data from a sample of 407 adult, low-income consumers across Trinidad and Tobago. The PROCESS macro was used to empirically test the hypothesized relationships in a moderated mediation model.

The results confirm that an increase in the perceived risk of severe illness has a significant negative effect on the consumption of healthy foods and perceived well-being. Moreover, consumers' choice of healthy foods mediates the negative relationship between consumers' perceived risk of severe COVID-19 illness and subjective well-being. Finally, the negative relationship between perceived risk of illness and healthy food choice weakens as an individual's fear of pandemic-related mortality increases.

This research integrates multiple related theoretical constructs to provide a more nuanced understanding of the lingering impact that risk perceptions and fear have on consumer food choices and associated well-being among a vulnerable Caribbean population. The changes identified have important implications for researchers interested in consumer food preferences as well as policymakers seeking to promote a healthy lifestyle among individuals coping with psychologically stressful circumstances.

This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.

To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.

The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.

Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.

This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.

This study investigated the relationship between last-mile distribution or delivery (LMD) and commodity access through the mediating role of commodity availability and commodity security and the moderating effect of supply chain integration (SCI).

The study adopted the survey research design and employed the questionnaire instrument in collecting primary data from respondents in Eastern Regional Health Institutions in Ghana. The total number of valid responses received was 204. The partial least squares structural equation modeling (PLS-SEM) approach was adopted to analyze the relationship between the study variables.

The findings showed that there is a positive and significant relationship between LMD and commodity availability as well as LMD and commodity security. Moreover, while the relationship between commodity availability and commodity access is positive and significant, that between commodity security and commodity access is positive but insignificant. Furthermore, there is a positive and statistically significant relationship between LMD and commodity access. The study discovered that the interaction between LMD and commodity access is insignificant and negatively affected by SCI.

To the best of the authors' knowledge, no previous studies have empirically verified the effect of LMD on commodity access in the presence of mediating factors such as commodity availability and commodity security and SCI as the moderating factors.