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In this paper, we outline our qualitative protocol for the largest, independent, mixed-method, evaluation of the High Volume-Low Complexity Surgical Hubs programme in England – The MEASURE study. In addition to serving as a protocol paper, we outline the key methodological considerations and adaptations that are needed when designing big qualitative studies – complex (multi-site, multi-stakeholder), multi-method (e.g. interviews, observations, documents) qualitative research involving a large number of participations (n = 100+). This paper expands on our previous methodological work, where we used our experience of undertaking a big qualitative study as part of a mixed-method evaluation of a national emergency care-based initiative, to outline the methodological considerations and uncertainties for designing and analysing "big" qualitative studies. In this paper, we put these considerations into practice by providing a transparent account of our qualitative study design. The methodological reflections which we present are centred around the areas where we feel there is the most uncertainty for big qualitative research: study design, sampling (of case sites and stakeholders) and analysis. Underpinning this uncertainty are broader challenges which utilising this approach incite. Namely, that striving for both breadth (national-level insights) and depth (local variation and context), challenges paradigmatic norms and expectations and forces either methodological innovation, or the adaption of existing qualitative methods. We hope this paper provides transparency and insight into an area of qualitative research which has, potentially due to a perception of "safety in numbers" been inherently trusted and rarely scrutinised. Ultimately, we hope that by providing a transparent account of our study design and the challenges we have faced that we continue to encourage discussion and innovation in this evolving area of qualitative research. [ABSTRACT FROM AUTHOR]

Young people's sexual and reproductive health (SRH) continues to be a major challenge in low and middle-income countries, with implications for public health now and in the future. Fortunately there is a growing array of evidence-based interventions, and commitments from governments, development partners and donors, to support programmes that aim to improve young people's SRH. However, in some situations, the technical assistance that governments feel that they need to strengthen and implement national policies and strategies, to move from words to action, is not available. The WHO Adolescent and Youth Sexual and Reproductive Health and Rights (AYSRHR) Technical Assistance (TA) Coordination Mechanism was initiated to help fill this technical assistance gap; to respond to TA requests from ministries of health in ways that are timely, efficient, effective and contribute to strengthening capacity. This paper describes the process of developing the Technical Assistance Coordination Mechanism (TA Mechanism) and the outcomes, experiences and lessons learned after three years of working. It triangulates the findings from a preliminary review of the literature and discussions with selected key informants; the outcomes from a series of structured review meetings; and the documented processes and results of the technical assistance provided to countries. The lessons learned focus on three aspects of the TA Mechanism. How it was conceptualized and designed: through listening to people who provide and receive AYSRHR TA and by reviewing and synthesizing past experiences of TA provision. What the TA Mechanism has achieved: a standardized process for TA provision, at different stages for a range of AYSRHR issues in ten countries in three geographic regions. And what worked well and what did not: which common challenges was the TA Mechanism able to address and which ones persisted despite efforts to avoid or resolve them. The paper ends with the implications of the lessons learned for future action. [ABSTRACT FROM AUTHOR]

This article offers four key lessons learned from a set of seven studies undertaken as part of the collection entitled, "Improving Maternal Health Measurement to Support Efforts toward Ending Preventable Maternal Mortality". These papers were aimed at validating ten of the Ending Preventable Maternal Mortality initiative indicators that capture information on distal causes of maternal mortality. These ten indicators were selected through an inclusive consultative process, and the research designs adhere to global recommendations on conducting indicator validation studies. The findings of these papers are timely and relevant given growing recognition of the role of macro-level social, political, and economic factors in maternal and newborn survival. The four key lessons include: 1) Strengthen efforts to capture maternal and newborn health policies to enable global progress assessments while reducing multiple requests to countries for similar data; 2) Monitor indicator "bundles" to understand degree of policy implementation, inconsistencies between laws and practices, and responsiveness of policies to individual and community needs; 3) Promote regular monitoring of a holistic set of human resource metrics to understand how to effectively strengthen the maternal and newborn health workforce; and 4) Develop and disseminate clear guidance for countries on how to assess health system as well as broader social and political determinants of maternal and newborn health. These lessons are consistent with the Kirkland principles of focus, relevance, innovation, equity, global leadership, and country ownership. They stress the value of indicator sets to understand complex phenomenon related to maternal and newborn health, including small groupings of complementary indicators for measuring policy implementation and health workforce issues. They also stress the fundamental ethos that maternal and newborn health indicators should only be tracked if they can drive actions at global, regional, national, or sub-national levels that improve lives. [ABSTRACT FROM AUTHOR]

Background: The prolonged presence of Syrian refugees in Jordan has highlighted the need for sustainable health service delivery models for refugees. In 2012, the Jordanian government adopted a policy that granted Syrian refugees access, free of charge, to the national health system. However since 2012, successive policy revisions have limited refugee access. This paper seeks to understand factors that initially put refugee integration into the health system on the policy agenda, as well as how these same factors later affected commitment to sustain the policy. Methods: This paper draws on data from a document review of 197 peer-reviewed and grey literature publications, a media analysis of newspaper articles retrieved from four officially recognized newspapers in Jordan, and 33 semi-structured key informant interviews. We used Kingdon's Multiple Streams Model – a well-established tool for analyzing policy adoption – to understand how political priority developed for integration of refugees into the health system. Results: We find that several factors helped bring attention to the issue, namely concerns over infectious disease transmission to host communities, high rates of chronic conditions among the refugee population and the increasingly urban and dispersed nature of refugees. At the outset of the conflict, the national mood was receptive to refugees. Politicians and government officials quickly recognized the crisis as an opportunity to secure material and technical support from the international humanitarian community. At the same time, global pressures for integrating refugees into national health systems helped move the integration agenda forward in Jordan and the region more broadly. Since 2012, there were several modifications to the policy that signal profound changes in national views around the continued presence of Syrian refugees in the country, as well as reduced external financial support which has undermined the sustainability of the policy. Conclusion: This case study underscores the dynamic nature of policymaking and the challenge of sustaining government commitment to the right to health among refugees. Our analysis has important implications for advocates seeking to advance and maintain momentum for the integration of refugees into national health systems. [ABSTRACT FROM AUTHOR]

This research paper presents a comprehensive historical analysis of long-acting antipsychotic medications (LAI) tracing their evolution from the early days of oral formulations to the current landscape of sustained-release injectables. The study aims to provide insight into the chronological development, milestones, and paradigm shifts that have shaped the trajectory of LAIs in the treatment of psychotic disorders. The exploration commences with an examination of the pioneering efforts that led to the conceptualization of psychiatric medication, shedding light on the initial challenges faced in achieving therapeutic efficacy with sustained drug delivery. Through an in-depth historical lens, the paper highlights pivotal moments in the development of LAIs, including the advent of depot formulations and the subsequent refinement of pharmacokinetic properties for optimal symptom control. The analysis unfolds by delineating key milestones in the timeline of LAIs, incorporating landmark studies, regulatory approvals, and technological innovations that have influenced their adoption in psychiatric practice. A focus is placed on the societal and clinical impact of LAIs, emphasizing their role in addressing treatment non-adherence and reducing the burden of relapse. Furthermore, the paper explores the paradigmatic shift in the perception of LAIs, moving from skepticism to widespread acceptance within the psychiatric community. The historical context is used to illuminate the socio-cultural factors that have influenced the utilization of LAIs, including changing attitudes toward mental health treatment, patient empowerment, and evolving healthcare policies. In conclusion, this historical analysis provides a nuanced understanding of the journey of LAIs, underscoring their transformation from experimental formulations to indispensable tools in the contemporary psychiatric armamentarium. By tracing the historical tapestry of LAIs, this research contributes to a deeper appreciation of their evolution, offering valuable insights for clinicians, researchers, and policymakers engaged in the ongoing discourse on the role of long-acting antipsychotic medications in the holistic management of psychotic disorders. [ABSTRACT FROM AUTHOR]

Background: Achieving universal health coverage (UHC) in the context of limited resources will require prioritising the most vulnerable and ensuring health policies and services are responsive to their needs. One way of addressing this is through the engagement of marginalised voices in the priority setting process. Public engagement approaches that enable group level deliberation as well as individual level preference capturing might be valuable in this regard, but there are limited examples of their practical application, and gaps in understanding their outcomes, especially with rural populations. Objective: To address this gap, we implemented a modified priority setting tool (Choosing All Together—CHAT) that enables individuals and groups to make trade‐offs to demonstrate the type of health services packages that may be acceptable to a rural population. The paper presents the findings from the individual choices as compared to the group choices, as well as the differences among the individual choices using this tool. Methods: Participants worked in groups and as individuals to allocate stickers representing the available budget to different health topics and interventions using the CHAT tool. The allocations were recorded at each stage of the study. We calculated the median and interquartile range across study participants for the topic totals. To examine differences in individual choices, we performed Wilcoxon rank sum tests. Results: The results show that individual interests were mostly aligned with societal ones, and there were no statistically significant differences between the individual and group choices. However, there were some statistically significant differences between individual priorities based on demographic characteristics like age. Discussion: The study demonstrates that giving individuals greater control and agency in designing health services packages can increase their participation in the priority setting process, align individual and community priorities, and potentially enhance the legitimacy and acceptability of priority setting. Methods that enable group level deliberation and individual level priority setting may be necessary to reconcile plurality. The paper also highlights the importance of capturing the details of public engagement processes and transparently reporting on these details to ensure valuable outcomes. Public Contribution: The facilitator of the CHAT groups was a member from the community and underwent training from the research team. The fieldworkers were also from the community and were trained and paid to capture the data. The participants were all members of the rural community‐ the study represents their priorities. [ABSTRACT FROM AUTHOR]

Background: The role of patient participation and representation during crises, such as the COVID‐19 pandemic, has been under‐researched. Existing studies paint a pessimistic picture of patient representation during the pandemic. However, there are indications that patient representatives have adapted to the new situation and can contribute to the resilience of healthcare systems. This paper aims to further explore the potential contribution of patient representatives for healthcare system resilience during the COVID‐19 pandemic. Methods: The study used a qualitative approach. We conducted a thematic analysis on the following data: interviews with client council members (n = 32) and representatives from patient organizations (n = 6) and focus groups (n = 2) to investigate patient representation on both the national policy level and organizational level in the Netherlands. Results: We identified the crisis discourse, the dependent position, the diversity of patient perspectives and the layered decision‐making structure as themes that help to understand what made patient representation in pandemic times a struggle for national and local patient representatives. The analysis of the subjects these representatives put forward during decision‐making shows that their input can play an important role in broadening discussions, challenging decisions, and suggesting alternatives during a crisis. We identified several strategies (e.g., collaborating with other actors, proactively putting subjects on the policy agenda, finding new ways of contacting their 'constituency') used by the patient representatives studied to exert influence despite the difficulties encountered. Conclusions: The struggle for patient representation during pandemic decision‐making is a missed opportunity for resilient healthcare systems as these representatives can play a role in opening up discussions and putting different perspectives to the fore. Moreover, the adaptive strategies used by representatives to influence decision‐making offer lessons for future representation activities. However, adaptations to the crisis decision‐making structure are also needed to enable patient representatives to play their role. Patient Contribution: We conducted interviews with patient representatives and discussed our preliminary findings with patient representatives during the focus groups. Zorgbelang, a patient organization supporting client councils and enabling and organizing patient participation for organizations and municipalities, was partner in this research and contributed to the interview guide, conducting interviews and focus groups. Additionally, the analysis made by the first author was discussed and refined multiple times with the partners of Zorgbelang and one of them co‐authored this paper. [ABSTRACT FROM AUTHOR]

Responses to the COVID‐19 pandemic have been widely criticized for being too delayed and indecisive. As a result, the precautionary principle has been endorsed, applauded, and proposed to guide future responses to global public health emergencies. Drawing from controversial issues in response to COVID‐19, especially in Vietnam, this paper critically discusses some key ethical and legal issues of employing the precautionary principle in public health emergencies. Engaging with discussions concerning this principle, especially in environmental law where the precautionary principle first appeared as a guiding principle with objective content(s), this paper formulates the precautionary principle as 'in dubio pro salus', which is about advising, justifying and demanding states to proactively prepare for scenarios arising out of any public health emergency. It distinguishes the precautionary principle into moderate and hard versions. A moderate version largely takes a holistic approach and fulfils a series of criteria specified in this paper, while a hard version either permits restrictive measures to be deployed primarily on a hypothetic basis or expresses an instrumental mentality. The hard version should be rejected because of the ethical and legal problems it raises, including risk‐risk tradeoffs, internal paradoxes, unjustified causing of fear and unreasonable presupposition. Ultimately, this paper defends the moderate version. [ABSTRACT FROM AUTHOR]

In the field of healthcare, the intersection of Artificial Intelligence (AI) and Public Health has emerged as an essential component, presenting numerous opportunities for innovation that are one of a kind. The purpose of this research paper is to investigate the historical development, current patterns, and global repercussions of incorporating AI into healthcare systems. The paper provides a comprehensive analysis of the application of AI in the field of public health. It covers the progression of the field, beginning with the initial efforts to automate diagnostic procedures and ending with the most recent developments in predictive modeling and precision medicine. The research investigates the degree to which various nations have adopted AI, highlighting both successful implementations and ongoing challenges in the framework of the global landscape. The intentional incorporation of AI is presented as a driving force for the transformation of healthcare provision. This transformation has the potential to provide potential benefits such as improved precision in diagnosis, effectiveness in treatment, and efficient utilization of treatment resources. In addition, the paper places an emphasis on the proactive role that AI plays in identifying and mitigating emerging health risks. Providing useful information about the policies, practices, and frameworks that enable the efficient incorporation of AI into public health is the primary objective of this research. The purpose of this paper is to provide policymakers, healthcare practitioners, and researchers with suggestions that can be put into practice today by combining historical perspectives and analyzing patterns that are currently occurring. The purpose of this action is to have an impact on the conversation that is taking place about the future of healthcare delivery, with the intention of highlighting the significant impact that AI can have on improving the circumstances of public health. [ABSTRACT FROM AUTHOR]

Simple Summary: This paper delves into the persistent issue of unequal access to medical imaging, with a particular focus on breast cancer screening and its impact on marginalized communities and racial/ethnic minorities. Central to our discussion is the role of scientific mobility among radiologists in fostering healthcare policy changes that promote diversity and cultural competence. We propose various strategies to bridge this gap, including cultural education, sensitivity training, and diversifying the radiology workforce. These measures aim to improve communication with diverse patient groups and reduce healthcare disparities. Additionally, we explore the challenges and advantages of teleradiology as a means to extend medical imaging services to underserved areas. In the context of artificial intelligence, we emphasize the critical need to validate algorithms across diverse populations to ensure unbiased and equitable healthcare outcomes. Overall, this paper underscores the importance of international collaboration in addressing global access barriers, presenting it as a key to mitigating disparities in medical imaging access and contributing to the pursuit of equitable healthcare. Access to medical imaging is pivotal in healthcare, playing a crucial role in the prevention, diagnosis, and management of diseases. However, disparities persist in this scenario, disproportionately affecting marginalized communities, racial and ethnic minorities, and individuals facing linguistic or cultural barriers. This paper critically assesses methods to mitigate these disparities, with a focus on breast cancer screening. We underscore scientific mobility as a vital tool for radiologists to advocate for healthcare policy changes: it not only enhances diversity and cultural competence within the radiology community but also fosters international cooperation and knowledge exchange among healthcare institutions. Efforts to ensure cultural competency among radiologists are discussed, including ongoing cultural education, sensitivity training, and workforce diversification. These initiatives are key to improving patient communication and reducing healthcare disparities. This paper also highlights the crucial role of policy changes and legislation in promoting equal access to essential screening services like mammography. We explore the challenges and potential of teleradiology in improving access to medical imaging in remote and underserved areas. In the era of artificial intelligence, this paper emphasizes the necessity of validating its models across a spectrum of populations to prevent bias and achieve equitable healthcare outcomes. Finally, the importance of international collaboration is illustrated, showcasing its role in sharing insights and strategies to overcome global access barriers in medical imaging. Overall, this paper offers a comprehensive overview of the challenges related to disparities in medical imaging access and proposes actionable strategies to address these challenges, aiming for equitable healthcare delivery. [ABSTRACT FROM AUTHOR]

Background: Breast cancer is the leading cause of death from cancer in women and is a major public health problem worldwide. Despite the lower incidence rates of breast cancer in resource-limited settings, especially sub-Saharan Africa, there is a higher mortality rate compared to high-resource countries where the disease has a higher incidence. This makes breast cancer the second deadliest cancer in African women. These poor results reflect the weakness in public health policies. The aim of this paper is to contribute to the effective control of breast cancer by designing a framework for a comprehensive and systemic analysis of these policies in Sub-Saharan Africa. Methods: This research is based on a literature review that adopted a systematic approach followed by a modified policy Delphi involving breast cancer experts in Sub-Saharan Africa. We included narrative reviews and systematic reviews/meta-analyses published between 2015 and 2022 as well as official documents in the analysis. We integrated the World Health Organization's health system building blocks with Walt and Gilson's policy analysis triangle to analyse the information collected and develop our analytical framework. Results: A total of 22 reviews and documents were included in the study. Sixteen breast cancer experts from Sub-Saharan Africa participated in the first Delphi round, and nine participated in the second round. The different components identified for a comprehensive and systemic analysis of effective breast cancer policies can be classified into policy content divided according to the health system building blocks and related policy processes; individual, organized national and international policy stakeholders; and policy contexts. Conclusion: This study enabled the design of a framework suitable for the comprehensive and systemic analysis of breast cancer control policies in Sub-Saharan Africa. This framework can be used as a checklist for stakeholders to guide the planning, implementation and evaluation of policies and specific breast cancer control programmes at the national and facility levels. [ABSTRACT FROM AUTHOR]

Human milk provides essential nutrition for infants and holds many health benefits for infants and mothers. When a mother's own milk is not available for her infant, the World Health Organization recommends feeding donor human milk (DHM) from a human milk banking facility. DHM is human milk produced, collected then donated to a human milk bank (HMB). HMBs serve many vital functions, including screening donor mothers, then collecting, processing, storing, and allocating DHM to recipients. The first HMB opened in 1909, and today there are more than 700 HMBs globally. Unfortunately, HMB facilities are not present in all locales, with notable gaps in South Asia and Africa. Additionally, there are no global standards to guide HMB operational procedures. Even though most HMBs attempt to employ quality control systems to provide safe DHM, differences in community needs, resource availability, and a range of methods and policies to execute processes result in significant variations in DHM quality and HMB operations. Robust and collaborative systems that ensure safe and equitable access to DHM are needed. In this paper, we present a global snapshot of current human milk banking practices; review an interdisciplinary framework to guide and support HMB activities as an integrated part of health and newborn care systems; discuss factors that contribute to HMB sustainability; outline barriers to scaling HMBs worldwide; and highlight knowledge, policy, and research gaps. Developing global HMB guidance and rigorous, adaptable standards would strengthen efforts to improve newborn health. Key messages: Safe donor human milk (DHM) from a human milk bank (HMB) is a WHO recommendation when the mother's own milk is not available.Over 700 HMBs exist globally, with varying operational models and a wide range of practices due to lack of global guidelines and the current practice of adaptation to local needs and health systems.Scaling up of HMBs to meet the global demand for DHM would be facilitated by the development of global standards to guide integration with breastfeeding promotion and quality controlled processing to ensure provision of safe DHM. [ABSTRACT FROM AUTHOR]

This paper explores the legislative and operational commonalities and differences in Medical Products of Human Origin (MPHO) programs, including blood, hematopoietic cells, tissues and reproductive cells and human milk banking. The analysis includes ethical principles in donation and utilization, policies and legislation, public awareness and education, registries, guidelines in donor selection, safety and quality assurance, operational models and funding, infrastructure and human resources and biovigilance and evaluation of outcomes. Unlike other MPHO, the need for donor human milk (DHM) may be greatly reduced, that is, by ensuring optimal support for maternal lactation and breastfeeding. This should not be lost in the drive for wider and improved service provision. Nevertheless, increased overall demand for DHM is expected as a result of forthcoming international recommendations and also its increased use as the first‐choice supplement to a mother's own milk both within and beyond preterm, low‐birthweight and sick infant populations. Insight into current human milk banking highlights differences and gaps in practices that can benefit from further exploration and harmonization. Strong similarities with the ethical and operational principles underpinning donation and processing of the diverse MPHO suggest that legislating human milk banks within similar MPHO frameworks may bring additional safety and facilitate improved product quality. Moreover, that MPHO‐inspired models operating within attainable regulatory requirements may contribute to sustainable human milk banking activity and growth. Key messages: The strong similarities with the ethical, quality and safety expectations underpinning the donation and processing of the diverse Medical Products of Human Origin (MPHO) can be harnessed to provide additional safety levels and improved donor human milk (DHM) quality.MPHO‐inspired models operating within attainable regulatory requirements may contribute to sustainable human milk banking activity and growth.The need for DHM may be greatly reduced through optimal support for maternal lactation and breastfeedingCurrent global milk banking practices can benefit from expanded and harmonized, international guidance. [ABSTRACT FROM AUTHOR]

Introduction: Collaboration is gaining prominence in the priority setting of Health Policy And System Research (HPSR). However, its practice and challenges are not well explored in Ethiopia. Understanding the practice and barriers of collaborative Health Policy and System Research will help design approaches and platforms for setting inclusive and participatory policy and system-level health research topics. This paper explores the practice and barriers of collaborative HPSR-priority setting exercise in Ethiopia. Methods: This study investigates the practice and barriers of collaborative health policy and system research priority-setting exercises in Ethiopia. Utilizing a mixed-methods approach, we conducted Key Informant Interviews (KIIs) and an online self-administered survey with open-ended questionnaires to capture diverse perspectives from stakeholders involved in the research priority-setting process. Through conventional content analysis, we identified key contents related to current practices, challenges, and opportunities for enhancing collaboration in health policy and system research prioritization. Results: Our findings reveal a complex landscape characterized by varying levels of stakeholder engagement, institutional capacity constraints, and competing priorities within the health research ecosystem. Despite notable efforts to foster collaboration, stakeholders identified persistent challenges such as limited resources, institutional fragmentation, and inadequate coordination mechanisms as barriers to effective priority-setting processes. The implications of our research extend beyond academic discourse, with direct relevance to health policy and system research practice in Ethiopia. By shedding light on the dynamics of collaborative priority-setting exercises, our findings offer valuable insights for policymakers, researchers, and practitioners seeking to enhance the effectiveness and inclusivity of health research prioritization processes. Addressing the identified barriers and leveraging existing strengths in the research ecosystem can contribute to more evidence-informed health policies and programs, ultimately improving health outcomes for Ethiopian populations. Conclusions: Most institutions do not apply health policy and system research-priority setting to conduct informed decision-making. The barriers explored were weak integration, lack of knowledge, system, and platforms for the priority setting of Health Policy and System Resreach. So, it is recommended to build skills of different actors in the Health Policy and System Research-priority setting exercise and design a system and platform to integrate different stakeholders for collaborative research topics priority setting. [ABSTRACT FROM AUTHOR]

Background: Decentralization of a health system is a complex and multidimensional phenomenon that demands thorough investigation of its process logistics, predisposing factors and implementation mechanisms, within the broader socio-political environment of each nation. Despite its wide adoption across both high-income countries (HICs) and low-and-middle-income countries (LMICs), empirical evidence of whether decentralization actually translates into improved health system performance remains inconclusive and controversial. This paper aims to provide a comprehensive description of the decentralization processes in three countries at different stages of their decentralization strategies – Pakistan, Brazil and Portugal. Main body: This study employed a systematic analysis of peer-reviewed academic journals, official government reports, policy documents and publications from international organizations related to health system decentralization. A comprehensive search was conducted using reputable databases such as PubMed, Google Scholar, the WHO repository and other relevant databases, covering the period up to the knowledge cutoff date in June 2023. Information was systematically extracted and organized into the determinants, process mechanics and challenges encountered during the planning, implementation and post-decentralization phases. Although decentralization reforms have achieved some success, challenges persist in their implementation. Comparing all three countries, it was evident that all three have prioritized health in their decentralization reforms and aimed to enhance local decision-making power. Brazil has made significant progress in implementing decentralization reforms, while Portugal and Pakistan are still in the process. Pakistan has faced significant implementation challenges, including capacity-building, resource allocation, resistance to change and inequity in access to care. Brazil and Portugal have also faced challenges, but to a lesser extent. The extent, progress and challenges in the decentralization processes vary among the three countries, each requiring ongoing evaluation and improvement to achieve the desired outcomes. Conclusion: Notable differences exist in the extent of decentralization, the challenges faced during implementation and inequality in access to care between the three countries. It is important for Portugal, Brazil and Pakistan to address these through reinforcing implementation strategies, tackling inequalities in access to care and enhancing monitoring and evaluation mechanism. Additionally, fostering knowledge sharing among these different countries will be instrumental in facilitating mutual learning. [ABSTRACT FROM AUTHOR]

As we learn to co-exist with COVID-19, this Research Topic highlights significant research contributions that examine the interaction of COVID-19 and the social determinants of health. To emphasize the impactful research in this area, this Research Topic features scholarly contributions in the fields of Epidemiology, specifically Aging and Life-course Epidemiology, and Public Health, specifically Public Health Policy. This theme is intentionally broad in scope, and our editorial provides an overview of the key findings of the papers published in the Research Topic on COVID-19 pandemic and the social determinants of health. The types of articles received in response to this Research Topic are summarized below. [ABSTRACT FROM AUTHOR]

Context: The COVID-19 pandemic has reignited a commitment from the health policy and health services research communities to rebuilding trust in healthcare and created a renewed appetite for measures of trust for system monitoring and evaluation. The aim of the present paper was to develop a multidimensional measure of trust in healthcare that: (1) Is responsive to the conceptual and methodological limitations of existing measures; (2) Can be used to identify systemic explanations for lower levels of trust in equity-deserving populations; (3) Can be used to design and evaluate interventions aiming to (re)build trust. Methods: We conducted a 2021 review of existing measures of trust in healthcare, 72 qualitative interviews (Aug-Dec 2021; oversampling for equity-deserving populations), an expert review consensus process (Oct 2021), and factor analyses and validation testing based on two waves of survey data (Nov 2021, n = 694; Jan-Feb 2022, n = 740 respectively). Findings: We present the Trust in Multidimensional Healthcare Systems Scale (TIMHSS); a 38-item correlated three-factor measure of trust in doctors, policies, and the system. Measurement of invariance tests suggest that the TIMHSS can also be reliably administered to diverse populations. Conclusions: This global measure of trust in healthcare can be used to measure trust over time at a population level, or used within specific subpopulations, to inform interventions to (re)build trust. It can also be used within a clinical setting to provide a stronger evidence base for associations between trust and therapeutic outcomes. [ABSTRACT FROM AUTHOR]

BACKGROUND: Respiratory tract infections are major contributors to the global disease burden. Quantitative microbial risk assessment (QMRA) holds potential as a rapidly deployable framework to understand respiratory pathogen transmission and inform policy on infection control. OBJECTIVES: The goal of this paper was to evaluate, motivate, and inform further development of the use of QMRA as a rapid tool to understand the transmission of respiratory pathogens and improve the evidence base for infection control policies. METHODS: We conducted a literature review to identify peer-reviewed studies of complete QMRA frameworks on aerosol inhalation or contact transmission of respiratory pathogens. From each of the identified studies, we extracted and summarized information on the applied exposure model approaches, dose–response models, and parameter values, including risk characterization. Finally, we reviewed linkages between model outcomes and policy. RESULTS: We identified 93 studies conducted in 16 different countries with complete QMRA frameworks for diverse respiratory pathogens, including SARS-CoV-2, Legionella spp., Staphylococcus aureus, influenza, and Bacillus anthracis. Six distinct exposure models were identified across diverse and complex transmission pathways. In 57 studies, exposure model frameworks were informed by their ability to model the efficacy of potential interventions. Among interventions, masking, ventilation, social distancing, and other environmental source controls were commonly assessed. Pathogen concentration, aerosol concentration, and partitioning coefficient were influential exposure parameters as identified by sensitivity analysis. Most (84%, 푛= 78) studies presented policy-relevant content including a) determining disease burden to call for policy intervention, b) determining risk-based threshold values for regulations, c) informing intervention and control strategies, and d) making recommendations and suggestions for QMRA application in policy CONCLUSIONS: We identified needs to further the development of QMRA frameworks for respiratory pathogens that prioritize appropriate aerosol exposure modeling approaches, consider trade-offs between model validity and complexity, and incorporate research that strengthens confidence in QMRA results. [ABSTRACT FROM AUTHOR]

The World Health Organization (WHO) set up the messenger ribonucleic acid (mRNA) technology transfer programme in June 2021 with a development hub in South Africa and 15 partner vaccine producers in middle-income countries. The goal was to support the sustainable development of and access to life-saving vaccines for people in these countries as a means to enhance epidemic preparedness and global public health. This initiative aims to build resilience and strengthen local vaccine research, and development and manufacturing capacity in different regions of the world, especially those areas that could not access coronavirus disease 2019 (COVID-19) vaccines in a timely way. This paper outlines the current global vaccine market and summarizes the findings of a case study on the mRNA technology transfer programme conducted from November 2022 to May 2023. The study was guided by the vision of the WHO Council on the Economics of Health for All to build an economy for health using its four work streams of value, finance, innovation and capacity. Based on the findings of the study, we offer a mission-oriented policy framework to support the mRNA technology transfer programme as a pilot for transformative change towards an ecosystem for health innovation for the common good. Parts of this vision have already been incorporated into the governance of the mRNA technology transfer programme, while other aspects, especially the common good approach, still need to be applied to achieve the goals of the programme. [ABSTRACT FROM AUTHOR]

Simple Summary: The current evidence regarding Indigenous* women and breast cancer in Australia shows lower prevalence but higher mortality rates. There are a range of reasons for this, including co-morbidities, lack of access to health services and low health information fluency. Perhaps most importantly, breast cancer health policy and service delivery practice do not meet the needs of Indigenous women in Australia, according to Indigenous women. Talking and listening to Indigenous women about breast cancer highlight that the solutions to improve breast cancer outcomes are available and that they are not complex. Indigenous women must be involved in the improvement of policy and practice in order for these outcomes to improve. *Terminology: We respectfully refer to Aboriginal and Torres Strait Islander people as "Indigenous". In Australia, the incidence rate of breast cancer is lower in Indigenous* women than non-Indigenous women; however, the mortality rate is higher, with Indigenous women 1.2 times more likely to die from the disease. This paper provides practical and achievable solutions to improve health outcomes for Indigenous women with breast cancer in Australia. This research employed the Context–Mechanism–Outcome (CMO) framework to reveal potential mechanisms and contextual factors that influence breast cancer outcomes for Indigenous women, stratified into multiple levels, namely, micro (interpersonal), meso (systemic) and macro (policy) levels. The CMO framework allowed us to interpret evidence regarding Indigenous women and breast cancer and provides nine practical ways to improve health outcomes and survival rates. [ABSTRACT FROM AUTHOR]

Background: Sub-Saharan Africa is the region with the highest under-five mortality rate globally. Child healthcare decisions should be based on rigorously developed evidence-informed guidelines. The Global Evidence, Local Adaptation (GELA) project is enhancing capacity to use global research to develop locally relevant guidelines for newborn and child health in South Africa (SA), Malawi, and Nigeria. The first step in this process was to identify national priorities for newborn and child health guideline development, and this paper describes our approach. Methods: We followed a good practice method for priority setting, including stakeholder engagement, online priority setting surveys and consensus meetings, conducted separately in South Africa, Malawi and Nigeria. We established national Steering Groups (SG), comprising 10–13 members representing government, academia, and other stakeholders, identified through existing contacts and references, who helped prioritise initial topics identified by research teams and oversaw the process. Various stakeholders were consulted via online surveys to rate the importance of topics, with results informing consensus meetings with SGs where final priority topics were agreed. Results: Based on survey results, nine, 10 and 11 topics were identified in SA, Malawi, and Nigeria respectively, which informed consensus meetings. Through voting and discussion within meetings, and further engagement after the meetings, the top three priority topics were identified in each country. In SA, the topics concerned anemia prevention in infants and young children and post-discharge support for caregivers of preterm and LBW babies. In Malawi, they focused on enteral nutrition in critically ill children, diagnosis of childhood cancers in the community, and caring for neonates. In Nigeria, the topics focused on identifying pre-eclampsia in the community, hand hygiene compliance to prevent infections, and enteral nutrition for LBW and preterm infants. Conclusions: Through dynamic and iterative stakeholder engagement, we identified three priority topics for guideline development on newborn and child health in SA, Malawi and Nigeria. Topics were specific to contexts, with no overlap, which highlights the importance of contextualised priority setting as well as of the relationships with key decisionmakers who help define the priorities. [ABSTRACT FROM AUTHOR]

Background and objective: On the trajectory towards universal health coverage in Bhutan, health equity requires policy attention as significant disparities exist between urban and rural health outcomes. This paper examines health services utilization patterns, inequalities and their socio-economic determinants in rural and urban areas and decomposes the factors behind these differences. Methods: We used the Bhutan Living Standard Survey 2017 to profile health services utilization patterns and equalities. We employed two different decomposition analyses: decomposition of mean differences in utilization using the Oaxaca–Blinder decomposition framework and differences in the income-related distribution in utilization using recentered influence function regressions between rural and urban areas. Results: Significant differences exist in the type of outpatient services used by the rural and urban population groups, with those living in rural areas having 3.4 times higher odds of using primary health centers compared to outpatient hospital care. We find that the use of primary health care is pro-poor and that outpatient hospital resources is concentrated among the more affluent section of the population, with this observed inequality consistent across settings but more severe in rural areas. The rural–urban gap in utilization is primarily driven by income and residence in the eastern region, while income-related inequality in utilization is influenced, aside from income, by residence in the central region, household size, and marriage and employment status of the household head. We do not find evidence of significant mean differences in overall utilization or inequality in utilization of inpatient health care services. Conclusions: While the differences in average contacts with health services are insignificant, there are prominent differences in the level of services availed and the associated inequality among rural and urban settings in Bhutan. Besides, while there are obvious overlaps, factors influencing income-related inequality are not necessarily the same as those driving the utilization gaps. Cognizance of these differences may lead to better informed, targeted, and potentially more effective future research and policies for universal health coverage. [ABSTRACT FROM AUTHOR]

Primary Health Care (PHC) is the most equitable and cost-effective way to enhance the health of populations and improve health security and is a requirement for achieving universal health coverage (UHC). Vital to advancing the PHC agenda is effective global health partnerships, particularly with Global Health Initiatives (GHIs) which provide financial support for improving population health. Despite progress, GHI support at times remained parallel to rather than embedded in national health strategies. To improve the impact of GHI support, World Health Organization (WHO) member states requested specific guidance to better align GHI support to national health strategies and PHC principles. We present the PHC-GHI Toolbox as a comprehensive set of resources for use by countries to apply the PHC approach to development of plans for securing and optimally utilizing funding received from GHIs, such as Gavi, the Vaccine Alliance; the Global Fund to Fight AIDS, Tuberculosis, and Malaria (GFATM); and the Global Financing Facility (GFF) as well as other donors. The PHC-GHI Toolbox includes a PHC resource database, GHI-specific overviews, a database of health system strengthening (HSS) investments, COVID-19 funding rapid assessment tool, and a focal point database for identifying expert technical assistance. This paper describes the process undertaken for Toolbox development and outlines its potential applications. [ABSTRACT FROM AUTHOR]

This paper studies a nonlinear fractional mathematical model for hand, foot, and mouth Disease (HFMD), incorporating a vaccinated compartment. Our initial focus involves establishing the non-negativity and boundedness of the fractional order dynamical model. The existence and uniqueness of the system are discussed using the Caputo derivative operator formulation. Applying a fixed-point approach, we obtain results that confirm the presence of at least one solution. We analyze the stability behavior at the two equilibrium points (disease-free and endemic states) of the model and derive the basic reproduction number. Numerical simulations are conducted using the fractional Euler approach, and the simulation results confirm our analytical conclusions. This comprehensive approach enhances the understanding of HFMD dynamics and facilitates the policy making of health care centers to control the further spread of this disease. [ABSTRACT FROM AUTHOR]

People with innate variations of sex characteristics (also known as intersex traits or disorders or differences of sex development) have any of a wide range of innate physical traits that differ from medical and social norms for female and male bodies. Responses to these physical differences create experiences and risks of stigmatisation, discrimination, violence, and harmful medical practices intended to promote social and familial integration and conformity with gender stereotypes. As is evident globally, the Australian policy response to the existence and needs of people with innate variations of sex characteristics has been largely incoherent, variously framing the population as having disordered sex development in need of "fixing", and a third sex/gender identity group in need of recognition, with only recent engagement by intersex community-controlled civil society organisations. This paper presents an overview of the context and goals of the intersex human rights movement in Australia. Australian intersex community organisations have sought to apply human rights norms and develop new infrastructure to address key health and human rights issues, and necessitating new ways of resolving policy incoherence. Together with human rights, mental health, and public health institutions, they have called for significant changes to medical models of care and reform to research and classification systems. Intersex community organising and resourcing have made a tangible difference. The Australian Capital Territory is the first jurisdiction in the country to move ahead with reforms to clinical practice, including a legislative prohibition of certain practices without personal informed consent, oversight of clinical decision-making, and investment in psychosocial support. A national community-controlled psychosocial support service has also commenced. [ABSTRACT FROM AUTHOR]

The culling of animals that are infected, or suspected to be infected, with COVID-19 has fuelled outcry. What might have contributed to the ongoing debates and discussions about animal rights protection amid global health crises is the lack of a unified understanding and internationally agreed-upon definition of "One Health". The term One Health is often utilised to describe the imperative to protect the health of humans, animals, and plants, along with the overarching ecosystem in an increasingly connected and globalized world. However, to date, there is a dearth of research on how to balance public health decisions that could impact all key stakeholders under the umbrella of One Health, particularly in contexts where human suffering has been immense. To shed light on the issue, this paper discusses whether One Health means "human-centred connected health" in a largely human-dominated planet, particularly amid crises like COVID-19. The insights of this study could help policymakers make more informed decisions that could effectively and efficiently protect human health while balancing the health and well-being of the rest of the inhabitants of our shared planet Earth. [ABSTRACT FROM AUTHOR]

Data that is collected at the individual-level from mobile phones is typically aggregated to the population-level for privacy reasons. If we are interested in answering questions regarding the mean, or working with groups appropriately modeled by a continuum, then this data is immediately informative. However, coupling such data regarding a population to a model that requires information at the individual-level raises a number of complexities. This is the case if we aim to characterize human mobility and simulate the spatial and geographical spread of a disease by dealing in discrete, absolute numbers. In this work, we highlight the hurdles faced and outline how they can be overcome to effectively leverage the specific dataset: Google COVID-19 Aggregated Mobility Research Dataset (GAMRD). Using a case study of Western Australia, which has many sparsely populated regions with incomplete data, we firstly demonstrate how to overcome these challenges to approximate absolute flow of people around a transport network from the aggregated data. Overlaying this evolving mobility network with a compartmental model for disease that incorporated vaccination status we run simulations and draw meaningful conclusions about the spread of COVID-19 throughout the state without de-anonymizing the data. We can see that towns in the Pilbara region are highly vulnerable to an outbreak originating in Perth. Further, we show that regional restrictions on travel are not enough to stop the spread of the virus from reaching regional Western Australia. The methods explained in this paper can be therefore used to analyze disease outbreaks in similarly sparse populations. We demonstrate that using this data appropriately can be used to inform public health policies and have an impact in pandemic responses. [ABSTRACT FROM AUTHOR]

Background: Obesity is a global epidemic affecting all age groups, populations, and income levels across continents, though is known to disproportionately affect socioeconomically disadvantaged populations. The causes of obesity are complex, informed by diet and weight practices, but shaped by social, commercial, and environmental factors and government policy. Consequently, a Whole System Approach (WSA)–which considers the many causes of obesity and shifts the focus away from individuals as points of intervention and puts an emphasis on understanding and improving the system in which people live–is required. This scoping review of reviews aims to: determine how WSAs to diet and healthy weight have been implemented and evaluated nationally and internationally; to determine what models or theories have been used to implement WSAs; describe how WSAs have been evaluated; determine if WSAs are effective; and to identify the contribution of the public and/or service users in the development of WSAs. Method: Systematic searches were carried out using CINAHL, Scopus, PsycINFO (ProQuest), the Cochrane Library, and MEDLINE. Included review papers were those that focused on the application of a whole system approach to diet and/or healthy weight, and/or reported the theory/model used to implement or simulate this approach. Databases were searched from 1995 to March 2022 using a combination of text and Medical Subject Headings (MeSH terms). In addition, reference sections of identified articles were examined for additional relevant articles. Covidence software was used to screen titles and abstracts from the electronic databases and resolve conflicts. Results: A total of 20,308 articles were initially retrieved; after duplicate removal 7,690 unique title and abstracts were reviewed, and 110 articles were selected for full text review. On completion of full text review, 8 review articles were included for data extraction. These included: one umbrella review, four systematic reviews, a rapid review, and two literature reviews (one of which was on strategic reports written for government and public health policy). Evaluations of WSA were mainly process evaluations although health outcomes were assessed in some studies. Several conceptual frameworks or mathematical modelling approaches have been applied to WSAs for diet, healthy weight, and obesity to inform their planning or delivery, and to understand/map the associated systems. Common mathematical approaches include agent based or System Dynamic Modelling. Underlying both conceptual and mathematical models is an understanding how the elements of the complex systems impact each other to affect diet, healthy weight, and obesity. WSA implementations have reported some success in positively impacting health outcomes including reducing Body Mass Index, reducing sugary food intake, and increasing physical activity. Public and user involvement in WSA was not widely reported. Conclusion: The application of WSA to diet and healthy weight shows promise, yet the research is lagging behind their implementation. Further robust evidence for using WSA to address diet and healthy weight are required, including incorporating process and outcome evaluations (perhaps using established approaches such as Systems Dynamic Modelling). Furthermore, the analysis of epidemiological data alongside longitudinal process and outcome evaluation regarding the implementation of a WSA is required. [ABSTRACT FROM AUTHOR]

This review aims to explore the role of professional diagnostic rapid testing of acute respiratory infections (ARIs), especially COVID-19 and influenza, ensuring proper disease management and treatment in Europe, and particularly in Czech Republic, Poland, and Romania. The paper was constructed based on a review of scientific evidence and national and international policies and recommendations, as well as a process of validation by four experts. The development of new testing technologies, treatment options, and increased awareness of the negative multidimensional impact of ARI profiles transformed differential diagnosis into a tangible and desirable reality. This review covers the following topics: (1) the multidimensional impact of ARIs, (2) ARI rapid diagnostic testing platforms and their value, (3) the policy landscape, (4) challenges and barriers to implementation, and (5) a set of recommendations illustrating a path forward. The findings indicate that rapid diagnostic testing, including at the point of care (POC), can have a positive impact on case management, antimicrobial and antibiotic stewardship, epidemiological surveillance, and decision making. Integrating this strategy will require the commitment of governments and the international and academic communities, especially as we identified room for improvement in the access and expansion of POC rapid testing in the focus countries and the inclusion of rapid testing in relevant policies. [ABSTRACT FROM AUTHOR]

Background: Physiotherapy is a growing profession in Nepal. Despite efforts to promote strengthening and development, there are still challenges in providing equitable access and availability to services, particularly in underserved areas. Updated information is needed to address challenges to provide proper planning for resource allocation. Objective: To assess implementation of physiotherapy services and to explore plans, policies and the general status of physiotherapy in Nepal. Method: Implementation was assessed with a cross-sectional survey conducted in Province III containing closed-ended questions addressing physiotherapy services, human resources, charging and record-keeping systems, and accessibility. Stratified purposive sampling was used to select eligible facilities from the list of Department of Health Services. Official records were explored through visits to governing institutions and by reviews of registers and reports to obtain data and information on status, plans and policy. Results: The survey included 25 urban and 4 rural facilities, covering hospitals and rehabilitation centres; both public (37.9%) and non-public (62.1%). Most facilities (79.3%) employed physiotherapists with bachelor’s degrees. Average number of visits were 29.55 physiotherapy outpatients and 14.17 inpatients per day. Patient records were mainly paper based. Most (69%) used the hospital main card, while others (31%) had their own physiotherapy assessment card. Most referrals came from doctors. The most offered services were musculoskeletal, neurological, and paediatric physiotherapy. Daily basis charging was common. A single visit averaged 311 Nepalese rupees ≈ 2.33 US$. Convenience for persons with disabilities was reported as partial by 79% of outpatient departments. Official register data showed 313 master’s and 2003 bachelor’s graduates. Six colleges offered physiotherapy bachelor’s degree, whereof one also offered a master’s program. Government records revealed significant progress in physiotherapy in Nepal. Conclusion: The study highlights variations in physiotherapy services within a province owing to type, size and location, but also unwarranted variations. Despite the progress, implementation of physiotherapy services in the perspective of official records imply a need of systems for proper planning and monitoring. Physiotherapy provision in underserved areas warrants further attention. [ABSTRACT FROM AUTHOR]

During the COVID‐19 pandemic, national triage guidelines were developed to address the anticipated shortage of life‐saving resources, should ICU capacities be overloaded. Rationing and triage imply that in addition to individual patient interests, interests of population health have to be integrated. The transfer of theoretical and empirical knowledge into feasible and useful practice models and their implementation in clinical settings need to be improved. This paper analyzes how triage protocols could translate abstract theories of distributive justice into concrete material and procedural criteria for rationing intensive care resources during a pandemic. We reconstruct the development and implementation of a rationing protocol at a German university hospital: describing the ethical challenge of triage, clarifying the aspirational norms, and summarizing specific norms of fair triage and allocation for developing an institutional policy and practice model and implementing it. We reflect on how critical topics are seen by clinicians and what helped manage the perceived burdens of the triage dilemma. We analyze what can be learned from this debate regarding the difficult issues around triage protocols and their potential implementation into clinical settings. Analyzing the ought‐to‐is gap of triage, integrating abstract ethical principles into practical concepts, and evaluating those should clarify the benefits and risks of different allocation options. We seek to inform debates on triage concepts and policies to ensure the best possible treatment and fair allocation of resources as well as to help protect patients and professionals in worst‐case scenarios. [ABSTRACT FROM AUTHOR]

Under the influence of development strategies with regard to national fitness and health in China, the interactive development between national fitness and national health is becoming increasingly strong. To explore the coupling and coordination relationship between national fitness and national health, this paper conducts an empirical analysis of the coupling and coordination relationship between national fitness and national health in 11 provinces and cities in Eastern China using the entropy weight method, a coupling coordination model, spatial visualization of the coupling coordination degree and spatial autocorrelation analysis. The research confirms that the comprehensive development level of national fitness and national health in Eastern China shows a steady upward trend, with a lag in national fitness as a whole, and that the growth rate of national fitness development is faster than that of national health development. The coupling coordination degree of the two systems of national fitness and national health in Eastern China shows a slow upward trend, and the coupling coordination degree rises from barely coordinated to primary coordination. There are significant differences in the spatial pattern of coupling coordination: the spatial pattern from north to south generally shows 'low-high-high-low-high-low' characteristics, and the spatial spillover effect of coupling coordination in various regions has not yet appeared. The revised GM(1.1) prediction results indicate that the level and improvement rate of coupling coordination will accelerate significantly in the next 10 years, but the spatial differences will still exist. Finally, suggestions are proposed to optimize the coupling and coordinated development of national fitness and national health based on policy guarantees as well as strengthening and cross-regional cooperation. [ABSTRACT FROM AUTHOR]

There is increasing use of machine learning for the health financing functions (revenue raising, pooling and purchasing), yet evidence lacks for its effects on the universal health coverage (UHC) objectives. This paper provides a synopsis of the use cases of machine learning and their potential benefits and risks. The assessment reveals that the various use cases of machine learning for health financing have the potential to affect all the UHC intermediate objectives -- the equitable distribution of resources (both positively and negatively); efficiency (primarily positively); and transparency (both positively and negatively). There are also both positive and negative effects on all three UHC final goals, that is, utilization of health services in line with need, financial protection and quality care. When the use of machine learning facilitates or simplifies health financing tasks that are counterproductive to UHC objectives, there are various risks -- for instance risk selection, cost reductions at the expense of quality care, reduced financial protection or over-surveillance. Whether the effects of using machine learning are positive or negative depends on how and for which purpose the technology is applied. Therefore, specific health financing guidance and regulations, particularly for (voluntary) health insurance, are needed. To inform the development of specific health financing guidance and regulation, we propose several key policy and research questions. To gain a better understanding of how machine learning affects health financing for UHC objectives, more systematic and rigorous research should accompany the application of machine learning. [ABSTRACT FROM AUTHOR]

Background: Adaptation to climate change (CC) is a priority for Small Island Developing States (SIDS) in the Caribbean, as these countries and territories are particularly vulnerable to climate-related events. Primary health care (PHC) is an important contributor to CC adaptation. However, knowledge on how PHC is prepared for CC in Caribbean SIDS is very limited. The aim of this paper is to discuss health system adaptation to climate change, with a focus on PHC. Methods: We explored the perspectives of PHC professionals in Dominica on PHC adaptation to climate change. Focus group discussions (FGDs) were conducted in each of the seven health districts in Dominica, a Caribbean SIDS, between November 2021 and January 2022. The semi-structured interview guide was based on the Essential Public Health Functions: assessment, access to health care services, policy development and resource allocation. Data coding was organized accordingly. Results: Findings suggest that health care providers perceive climate change as contributing to an increase in NCDs and mental health problems. Climate-related events create barriers to care and exacerbate the chronic deficiencies within the health system, especially in the absence of high-level policy support. Healthcare providers need to take a holistic view of health and act accordingly in terms of disease prevention and health promotion, epidemiological surveillance, and ensuring the widest possible access to healthcare, with a particular focus on the environmental and social determinants of vulnerability. Conclusion: The primary health care system is a key stakeholder in the design and operationalization of adaptation and transformative resilience. The Essential Public Health Functions should integrate social and climate and other environmental determinants of health to guide primary care activities to protect the health of communities. This study highlights the need for improved research on the linkages between climate events and health outcomes, surveillance, and development of plans informed by contextual knowledge in the SIDS. [ABSTRACT FROM AUTHOR]

Background Despite the growing utilization of data-driven methods to investigate multimorbidity patterns, there is currently no consensus or guidance on the conditions to include when identifying patterns. This scoping review aims to systematically examine the nature of conditions included in existing studies using data-driven techniques. Methods A comprehensive search of three electronic databases (MEDLINE, Web of Science and Scopus) was conducted to identify relevant publications from inception to 28 February 2022 using predefined search terms and inclusion/exclusion criteria. The reference lists and citations of relevant papers were also searched. Results Among 7326 search results, 5444 relevant articles were identified. After screening against the eligibility criteria, 60 articles were included in the review. Half of the reviewed studies reported selection criteria for conditions, with prevalence in the population of interest being the most common criterion (40%). Most studies included at least one neurological [59 (98.3%)], musculoskeletal [58 (96.7%)], respiratory [57 (95.0%)] or mental health [56 (93.3%)] condition. In contrast, only a small proportion of studies included skin [17 (28.3%)], infections [14 (23.3%)] or autoimmune conditions [10 (16.7%)]. Nine conditions (hypertension, diabetes, cancer, arthritis, COPD, asthma, depression, stroke and osteoporosis) were included by more than half of the studies. Conclusions This review highlights the considerable heterogeneity among the conditions included in analyses of multimorbidity patterns. Researchers should provide a clear rationale for the selection of conditions to facilitate comparisons across studies and ensure reproducibility, as well as consider selecting a diverse range of conditions to capture the complexity of multimorbidity. [ABSTRACT FROM AUTHOR]

Introduction: This study characterized the extent to which (1) financial barriers and (2) abortion care-seeking within a person's country of residence were associated with delays in abortion access among those travelling to England and the Netherlands for abortion care from European countries where abortion is legal on broad grounds in the first trimester but where access past the first trimester is limited to specific circumstances. Methodology: We drew on cross-sectional survey data collected at five abortion clinics in England and the Netherlands from 2017 to 2019 (n = 164). We assessed the relationship between difficulty paying for the abortion/travel, acute financial insecurity, and in-country care seeking on delays to abortion using multivariable discrete-time hazards models. Results: Participants who reported facing both difficulty paying for the abortion procedure and/or travel and difficulty covering basic living costs in the last month reported longer delays in accessing care than those who had no financial difficulty (adjusted hazard odds ratio: 0.39 95% CI 0.21–0.74). This group delayed paying other expenses (39%) or sold something of value (13%) to fund their abortion, resulting in ~ 60% of those with financial difficulty reporting it took them over a week to raise the funds needed for their abortion. Having contacted or visited an abortion provider in the country of residence was associated with delays in presenting abroad for an abortion. Discussion: These findings point to inequities in access to timely abortion care based on socioeconomic status. Legal time limits on abortion may intersect with individuals' interactions with the health care system to delay care. Plain Language Summary: This paper explores delays in accessing abortion care associated with financial and medical system barriers. We focus on residents of countries in Europe where abortion is available on broad grounds in the first trimester seeking abortion care outside of their country of residence. This study demonstrates an association between difficulty covering abortion costs for people facing financial insecurity and in-country care seeking and delays in accessing abortion abroad. Policy barriers, medical system barriers, as well as financial barriers may interact to delay access to care for people in European countries with broad grounds for abortion access in the first trimester but restrictions thereafter, especially for people later in pregnancy. [ABSTRACT FROM AUTHOR]

Faced with the severe situation of global population aging, smart elderly care services have become an effective way to solve the dilemma of elderly care. In recent years, the Chinese government has frequently issued policies to promote the rapid development of smart elderly care service. This paper constructs a three-dimensional analysis framework of "policy objectivepolicy tool-value chain" and uses content analysis method, which is a structured research method that analyzes the content of text, to analyze 126 policies at the national level of China's Smart elderly care service from 2012 to 2022. Through the quantitative statistical analysis, this study finds that the distribution of policy objectives is uneven, the structure of policy tools is imbalanced, the support strength of each link of the value chains is different, and the cross-fitting effect of dimensions is insufficient. In the future, pay attention to the balanced development of the needs of the elderly; Promote the complementarity of various policy tools; Strengthen the systematization of all links of the value chains; Improve the fitting effect between policy objectives, policy tools and value chains, and strive to improve the weak points of each combination model. [ABSTRACT FROM AUTHOR]

In this perspective paper we use publicly-available data to show that, despite much positive rhetoric in support of reforms in Scotland to integrate health and social care, these reforms, in their current state, have failed to meet their stated objectives. Rather than regress to the previous system, we propose continued evaluation of even more radical forms of such integration. This analysis, and set of future proposals, are timely given current considerations with respect to a National Care Service in Scotland and recent similar reforms in England and in other countries. [ABSTRACT FROM AUTHOR]

An introduction is presented to a series of papers focused on the scientific dialogue between sectors on health and economics, with topics including constitutional right to health, advancements in mental health as part of a well-being economy, and health taxonomy development to guide sustainable investment decisions.

Numerous studies have discussed the economic impacts of the COVID-19 pandemic in recent years. However, the effectiveness and trade-offs of diverse countermeasures still need to be investigated, particularly under the long-term goal of low-carbon transition, which is crucial for understanding the potential impacts of the future public health emergency (PHE) related economic crisis. Given that China still faces big pressures from the potential PHE and carbon neutrality, this paper assesses the effectiveness of policy instruments in restoring the economy and advancing green development after the PHE using the Dynamic Stochastic General Equilibrium framework. Our findings reveal that the PHE imposes more constraints on the economy because of the decrease in productivity on the supply side and in consumption on the demand side. Compared to the other counterparts, the mixed stimulus can overcome the adverse impacts of the PHE while contributing to carbon reduction. Furthermore, all types of low-carbon policies investigated in this study can contribute to carbon reduction at the expense of economic growth. Meanwhile, the carbon tax realizes the target of reducing emissions with the smallest negative impact on economic growth. Thus, we suggest adopting the carbon tax policy as the most effective low-carbon measure to address uncertainties associated with the PHE. • This study explores pathways for advancing economic recovery and green development after the public health emergency. • We develop a scenario-based dynamic stochastic general equilibrium (DSGE) model. • We characterize public health emergency shocks from a supply and demand perspective. • The model introduces different carbon abatement mechanisms. [ABSTRACT FROM AUTHOR]