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This chapter reviews the evidence on the role of physicians in shaping inequalities in access to and utilisation of healthcare. The authors examine three types of physician decisions that can influence inequalities in access and utilisation: location decisions, decisions to work in the public and/or private sector, and decisions or behaviours in the doctor–patient encounter. For each, the authors summarise the issues and empirical evidence on possible policies to help reduce inequalities in access. Future research to reduce inequalities should focus on changes to health systems that influence physician decisions, such as health insurance expansions, the public–private mix and financial incentives, as well as physician training and policies for a more diverse physician workforce.

This study aims to examine the effects of Internet of Things (IoT) technology on efficiency and patient care in Italian and Israeli intensive care units (ICUs). The goal is to study how IoT might improve care settings by controlling health dynamics and responding to life-threatening circumstances.

This survey-based research explores IoT use, challenges and adaptability in ICUs in both countries. Interviews and surveys of ICU health-care workers are used to get both quantitative and qualitative data on integrating experiences and perspectives.

The research found significant variations between Italy and Israel due to technology infrastructures and health-care practices. Israel shows a more concentrated deployment in a major medical centre with advanced but limited uptake, whereas Italy shows application throughout ICUs highlighting regional health-care system disparities. Interoperability, data security and IoT training are common difficulties.

This research has limitations. One drawback is the geographical dispersion of study sites, with a bigger sample size in Italy than in Israel. This discrepancy may affect findings applicability. However, these preliminary findings provide a foundation for further research into the complexities of deploying IoT in various health-care settings.

This study compares IoT integration in two national health-care systems, adding to health-care technology literature. Regional variations affect technology adoption, but IoT may enhance ICU operations and patient care, according to one research. This study helps health-care practitioners, academics and policymakers understand the pros and cons of IoT in health care.

This study aims to evaluate the association between ethnic minority membership and their knowledge about their human health rights in Peru.

A secondary analysis of the National Health User Satisfaction Survey 2015–2016 was conducted using an analytical cross-sectional design. Participants who spoke Quechua, Aymara, Awajun, Bora or a language other than Spanish aged 15 year were considered as a racial minority. The question “Do you know that by law you have health rights?” was applied to incorporate knowledge on health rights. Generalized linear models of the Poisson distribution were used to calculate crude prevalence ratio and adjusted prevalence ratio. A total of 3,721 responses were included in the analysis.

The average age was 38.3 year, and 26.6% were males. The prevalence of belonging to an ethnic minority was 7.7%, and 27.6% of the participants did not know about their health rights. An association was found in the adjusted regression analysis between belonging to an ethnic minority and a greater probability of not knowing human health rights.

The value of the works lies in one in four participants who did not know he had health rights by law. Belonging to an ethnic minority was associated with not knowing about having human health rights.

A growing body of evidence suggests that experiences of discrimination may affect physical and mental health through multiple pathways. This paper aims to characterize the extent of everyday perceived discrimination among Brazilian and Cape Verdean immigrant adults in Portugal, to identify its forms and analyze its association with mental health.

This study draws on data from the EQUALS4COVID19 (Equity in health in times of pandemic) project that implemented a cross-sectional survey combining online and face-to-face questionnaires for data collection between February and November 2022.

Women were less likely than men to report no discrimination experiences and more likely to report combined bases of discrimination. While Brazilian women were more likely than Cape Verdean counterparts to report gender and nationality-based discrimination, Cape Verdean women and men were more likely to report experiencing race-based discrimination. Gender (being identified as a woman) and length of stay in Portugal were the main predictors of depression, while resilience and perceived social support were protective factors. Participants with higher levels of resilience showed a significantly diminished association between perceived discrimination and depressive symptoms.

This study highlights the need for further research on the interlocking influences of gender, race, nationality and other structures of power, on health and illness to increase our understanding of what would help meet the specific needs of migrants’ mental health and improve equitable health care.

The findings on the multiple and intersectional discrimination perceived by the Brazilian and Cape Verdean populations in Portugal illustrated the ways mental health can be affected by social structures, such as gender and ethnic hierarchies, and can be used to inform the relevance to design and implement programs on combating individual and institutional discrimination and improving the rights of all people.

There is growing recognition that transformation of healthcare systems towards health and well-being systems requires a continuous learning process. This explorative study aims to gain insight into the experiences with and investment in these learning processes within regional partnerships for health and in what they need to enhance their learning capacity to use the learning for transformation.

17 interviews were held with programme managers, data scientists, trusted advisors and a citizen representative, all involved in the learning process on a regional level in ten Dutch regional partnerships. The interviews were inductively and thematically analysed, focusing on the experiences and perceptions underlying the learning processes.

Regional partnerships invest in learning processes by organizing interactions between different groups of stakeholders and by reflecting on specific themes or on a region-wide level. Difficulty was found in region-wide reflection and in enhancing the learning capacity within the partnerships. Further enhancing the learning capacity required: (1) Investment in (the use of) expertise for translating learning outcomes into concrete action; (2) Leadership for change, underpinned by a shared sense of urgency to learn for transformation and (3) A facilitative environment for change which is both based on facilitative system structures and a basis of trust and commitment to learn and adapt.

The study highlighted the difficulty of learning on a region-wide level and the struggle to apply this learning for transformation. It provides insights into how learning processes and learning capacity can be further improved.

The purpose of this study is to critically analyze the key factors contributing to gender disparities in the science, technology, engineering and mathematics (STEM) fields and propose creative solutions to mitigate these differences. Despite the significance of this issue, it has not received sufficient attention owing to the absence of clarity regarding the factors that exacerbate the gender gap.

This study used a qualitative methodology that combined the viewpoints of social psychology and educational research to pinpoint and evaluate essential elements. Using a grounded theory approach, semistructured interviews were analyzed, and the obtained data were coded and categorized using ATLAS.ti software.

This qualitative research identified three key areas: internal and external factors influencing the gender gap, as well as strategic actions within higher education to address these disparities. The innovative contribution of this study lies in its development of a comprehensive theoretical framework that enables the diagnosis, quantification and understanding of these factors and proposes practical measures to mitigate these gender disparities. By promoting greater gender diversity, the proposed model can contribute to more inclusive and sustainable development, which is consistent with the 2030 agenda.

This study highlights the need for a multidimensional approach to address the gender gap in higher education, fills a crucial knowledge gap and provides a theoretical model to guide effective university policies.

This study aims to explore interdisciplinary and transdisciplinary interactions around sustainability, focusing on the United Nations sustainable development goals (SDGs). By using the city as an informal learning space, it presents a case study to raise SDG awareness, promote interdisciplinarity, foster critical thinking and empower students.

Using qualitative content analysis, this study explores students' interdisciplinary engagements. The research centers on student-created Logbooks, combining field data for analysis via open coding.

The informal setting facilitates transdisciplinary interaction and enriches interdisciplinary skills while retaining individuals’ disciplinary tendencies.

Factors like local geographical conditions and participant numbers could lead to minor variations in future course applications. Although initial problem topics and discussions are confined to local urban geography, they might diversify during implementation.

The Logbook serves as a guide for local urban issues and embodies interdisciplinary outcomes. It can be enhanced with maps and problem zoning.

Demonstrates effective SDG integration into higher education.

This study spotlights interdisciplinary learning within an unconventional context – urbanism – bridging student gaps. Supported by a paradigm shift from sustainability to unsustainability, it underscores the significance of critical engagement with SDGs.

This case study delves into the evolving landscape of equity, inclusion and diversity (EID) initiatives within the health-care sector, with a specific focus on the “EverybodyIN” program implemented at the Mayo Clinic, a large academic Medical Center in the USA. Against the backdrop of growing awareness catalyzed by societal events, this case study aims to explore the multifaceted aspects of workplace conversations aimed at addressing racial disparities and fostering a more inclusive environment.

The case study relies on the application of critical race theory and a social constructionist approach to investigate the impact of a subset of voluntary educational conversations that were centered on the Black/African-American experience, on staff members’ racial understanding and allyship within the health-care organization. Through thematic analysis of postevent surveys and participant sentiments, three overarching themes emerged: appreciation, education and validation.

Through thematic analysis of postevent surveys and participant sentiments, three overarching themes emerged: appreciation, education and validation. The findings underscore the pivotal role of leadership buy-in, evidence-based practices, health equity and an ongoing commitment to “the journey” in successful EID efforts. The results highlight the significance of integrating EID into health-care organizations as a continuous endeavor that aligns with organizational values and mission.

The findings underscore the pivotal role that theory and practice play through a newly described framework that includes leadership buy-in, evidence-based practices, health equity and an ongoing commitment to “the journey” for successful EID efforts.

The results highlight the significance of integrating EID into health-care organizations as a continuous endeavor that aligns with organizational values and mission.

By fostering a safe and informed space for dialogue, organizations can empower staff to engage authentically and acquire cultural competence that may contribute to advancing health equity.

Poor mental health in men and women is attributable to disparities in physical traits, social roles, power and health-seeking behaviours. This study aims to examine the gender differences in mental health among Pakistan and German university students and focuses on their right to seek mental health care.

Data on depression, anxiety and stress symptoms, as well as positive mental health (PMH), resilience, social support and life satisfaction, were gathered from Pakistani and German students.

In contrast to the Pakistani group, where no such gender differences were seen, women in Germany reported higher degrees of stress, anxiety and depression, as well as a lower level of overall good mental health. In comparison to German men and women, Pakistani women scored equally high on resilience. While gender had no bearing on life happiness in either Pakistan or Germany, women in both countries perceived more social support than men did.

The study’s strengths include its large sample size and battery of mental health measures. The results of partial weak measurement Invariance (MI) on the stress subscale underlined the importance of using MI in cross-cultural studies. The validity of a direct comparisons on sum score between different language versions or country samples shall be cautious. Still, there are limitations. Firstly, the authors did not differentiate gender and biological sex, and there was no group of non-binary gender. Pakistani (N = 1,840) and German (N = 7,890) students were in unequal numbers. Again, only university students were sampled, so the results cannot be generalised to older (probably less educated) populations. Self-reported data that mainly obtained via online survey were the third limitation. This design is cost-effective and easy to administer for cross-cultural survey research. However, social desirability and memory bias are common in self-report inventories. Fourthly, although English is an official language in Pakistan and the medium of instruction in education, the authors recommend future study to use questionnaires that have been translated and validated into Urdu (Pakistan’s national language) and investigate gender differences in a general population. Fifthly, this is a cross-sectional survey; the authors were not able to explore the causality or risk factors that contribute to the poor mental well-being in Pakistan students in general or the relatively worse mental health in German women. Future studies may investigate the mechanism behind the phenomena observed in this study with longitudinal or experimental design. Last but not least, Germany and Pakistan differ in so many different aspects from culture, religions and history to social structure and economic status, which make it hard to claim whether the observed differences were due to national differences, cultural differences, economic differences, gender inequality differences or other effects. It would be helpful for future studies to include more country samples with clear definitions of different “culture” aspects for a better understanding of gender differences in other countries and in different mental well-being constructs.

The current study is the first attempt to compare the gender difference patterns in positive and negative mental health between European and South Asian counties and focuses on gender-specific approaches. Although Pakistani university students reported in general worse mental well-being, the differences between the two genders in mental health (e.g. depression, anxiety, general PMH) were not as pronounced as in the German student sample. Gender comparisons in these mental health constructs would help to improve protective factors against mental illness and to develop appropriate management programmes based on cultural differences. The results suggest that the gender differences found in western countries cannot always be directly translated into the South Asian cultural framework. Our results also highlight the importance of improving the general situation of Pakistan (students) instead of focusing on one gender. At the same time, in Germany, prevention and intervention plans are more warranted for women. It could be that once the general situation in Pakistan is improved, the gender-related differences in mental health will be clearly observed.

These findings imply the significance of cultural context when inferring gender variations in mental health. Moreover, it supports the advancement of comprehensive policies to reduce gender-related mental health inequalities and focuses on the equal rights of men and women to get mental health care.

This paper aims to explore the intricate relationship between artificial intelligence (AI) and health information literacy (HIL), examining the rise of AI in health care, the intersection of AI and HIL and the imperative for promoting AI literacy and integrating it with HIL. By fostering collaboration, education and innovation, stakeholders can navigate the evolving health-care ecosystem with confidence and agency, ultimately improving health-care delivery and outcomes for all.

This paper adopts a conceptual approach to explore the intricate relationship between AI and HIL, aiming to provide guidance for health-care professionals navigating the evolving landscape of AI-driven health-care delivery. The methodology used in this paper involves a synthesis of existing literature, theoretical analysis and conceptual modeling to develop insights and recommendations regarding the integration of AI literacy with HIL.

Impact of AI on health-care delivery: The integration of AI technologies in health-care is reshaping the industry, offering unparalleled opportunities for improving patient care, optimizing clinical workflows and advancing medical research. Significance of HIL: HIL, encompassing the ability to access, understand and critically evaluate health information, is crucial in the context of AI-driven health-care delivery. It empowers health-care professionals, patients and the broader community to make informed decisions about their health and well-being. Intersection of AI and HIL: The convergence of AI and HIL represents a critical juncture, where technological innovation intersects with human cognition. AI technologies have the potential to revolutionize how health information is generated, disseminated and interpreted, necessitating a deeper understanding of their implications for HIL. Challenges and opportunities: While AI holds tremendous promise for enhancing health-care outcomes, it also introduces new challenges and complexities for individuals navigating the vast landscape of health information. Issues such as algorithmic bias, transparency and accountability pose ethical dilemmas that impact individuals’ ability to critically evaluate and interpret AI-generated health information. Recommendations for health-care professionals: Health-care professionals are encouraged to adopt strategies such as staying informed about developments in AI, continuous education and training in AI literacy, fostering interdisciplinary collaboration and advocating for policies that promote ethical AI practices.

To enhance AI literacy and integrate it with HIL, health-care professionals are encouraged to adopt several key strategies. First, staying abreast of developments in AI technologies and their applications in health care is essential. This entails actively engaging with conferences, workshops and publications focused on AI in health care and participating in professional networks dedicated to AI and health-care innovation. Second, continuous education and training are paramount for developing critical thinking skills and ethical awareness in evaluating AI-driven health information (Alowais et al., 2023). Health-care organizations should provide opportunities for ongoing professional development in AI literacy, including workshops, online courses and simulation exercises focused on AI applications in clinical practice and research.

This paper lies in its exploration of the intersection between AI and HIL, offering insights into the evolving health-care landscape. It innovatively synthesizes existing literature, proposes strategies for integrating AI literacy with HIL and provides guidance for health-care professionals to navigate the complexities of AI-driven health-care delivery. By addressing the transformative potential of AI while emphasizing the importance of promoting critical thinking skills and ethical awareness, this paper contributes to advancing understanding in the field and promoting informed decision-making in an increasingly digital health-care environment.