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All countries worldwide have signed up to the United Nations Sustainable Development Goals and have committed to the objective of achieving 'universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for all'. During the COVID-19 pandemic and beyond, advancement toward universal health coverage (UHC) will become more difficult for many countries, demonstrating that locally led priority setting is urgently needed to provide health services with appropriate financial protection to all. Because resources are limited and no national constituency can provide an unlimited number of services to their whole population in a sustainable manner, rationing and setting priorities for the selection of interventions to be included in a defined package of services is critical. In this Perspective, we discuss how packages of essential health services can be developed in resource-constrained settings, and detail how experts and the public can decide on principles and criteria, use a comprehensive array of analytical methods and choose which services to be provided free of charge. We illustrate these main steps while drawing on a recently conducted exercise of revising the national essential health services package in Ethiopia, which we compare with examples from other countries that have defined their essential benefits packages. This Perspective also provides recommendations for other low- and middle-income countries on their pathway to UHC.

The article discusses the call for papers on building a health economy for all in 2023. Topics covered include the existing structural and economic inequalities exposed by the pandemic, and the reorientation of economies for health towards a vision in which every person and people can flourish physically and mentally with dignity and opportunity in a healthy living planet. Also noted are the four themes to build economies for health that the World Health Organization (WHO) Council focuses on.

Population Health Management – often abbreviated to PHM – is a relatively new approach for healthcare planning, requiring the application of analytical techniques to linked patient level data. Despite expectations for greater uptake of PHM, there is a deficit of available solutions to help health services embed it into routine use. This paper concerns the development, application and use of an interactive tool which can be linked to a healthcare system's data warehouse and employed to readily perform key PHM tasks such as population segmentation, risk stratification, and deriving various performance metrics and descriptive summaries. Developed through open-source code in a large healthcare system in South West England, and used by others around the country, this paper demonstrates the importance of a scalable, purpose-built solution for improving the uptake of PHM in health services. [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]

Introduction: Achieving universal health coverage requires using research evidence to inform decision-making. However, little information is available on the use of research evidence in planning in lower middle-income countries, including Tanzania. This paper presents a protocol that aims to investigate the usage of research evidence in health planning, determinants and readiness of the planning team members to use knowledge translation tools in Tanzania., Methods and Analysis: This study will employ a sequential exploratory mixed-methods design, with participants selected from national, regional and council levels. Qualitative data will be collected through a maximum of 52 in-depth interviews and 12 focused group discussions until saturation. To collect quantitative data, a structured questionnaire will be used to survey 422 participants, and a document review will be conducted from health facilities. Qualitative data will be analysed using thematic analysis, while descriptive and inferential analyses will be employed for quantitative data., Ethics and Dissemination: The study participants will provide written informed consent, and all recorded data will be stored on a secured research server accessible only to the investigators. Ethical approval has been obtained from the University of Dodoma Research Ethics Committee (ref. MA.84/261/02/'A'/64/91). The findings of this study will inform policymakers, researchers and implementers in the country on the use of research evidence in decision-making. We will disseminate our findings through publications, conferences, workshops and interactive communication with national, regional, council and health facility planning teams., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

The health benefits of regular physical activity (PA) in youth are well-documented. Yet the adherence rate to PA guidelines among youth worldwide is alarmingly deficient with only 19% of youth worldwide adhering to the World Health Organization guidelines. This is reflective of a global proliferation of a physical inactivity pandemic among youth. The negative consequences of physical inactivity on health are profound, as they threaten to persist into adulthood, exacerbating the burden of preventable health issues. There is persuasive evidence that vigorous PA generates physical fitness and health benefits surpassing those of low- or moderate-intensity activity in youth. In addition, indications show that the adherence rate to vigorous PA among youth exceeds that relative to for low- or moderate-intensity activity. As a result, promoting vigorous PA can help mitigate the global issue of low adherence to PA in youth. Therefore, in this Current Opinion paper, we argue that vigorous PA, compared to low or moderate-intensity activity, holds greater significance for youth's health and physical fitness. Additionally, the potential implications derived from the existing evidence regarding vigorous PA on the current guidelines for youth are discussed. Key Points: The health benefits of regular physical activity in youth are well-established. Yet the adherence rate to physical activity guidelines among youth worldwide is alarmingly deficient with around 80% of youth worldwide not adhering to the World Health Organization guidelines. Persuasive evidence derived from observational, controlled interventions, as well as narrative and systematic reviews with meta-analysis, indicate that vigorous physical activity generates positive effects exceeding those induced by low- or moderate-intensity activity on youth health and physical fitness. The next generation of physical activity recommendations should place a greater emphasis on the significance of vigorous physical activity for youth. [ABSTRACT FROM AUTHOR]

Lao People's Democratic Republic (Lao PDR) aims at graduating from least developed country status by 2026 and must increase the level of domestic financing for health. This paper examines how the government has prepared for the decline of external assistance and how donors have applied their transition approaches. Adapting a World Health Organization (WHO) framework, reflections and lessons were generated based on literature review, informal and formal consultations and focus group discussions with the Lao PDR government and development partners including budget impact discussion. The government has taken three approaches to transition from external to domestic funding: mobilizing domestic resources, increasing efficiency across programs and prioritization with a focus on strengthening primary health care (PHC). The government has increased gradually domestic government health expenditures as a share of the government expenditure from 2.6% in 2013 to 4.9% in 2019. The Ministry of Health has made efforts to design and roll out integrated service delivery of maternal, newborn, child, and adolescent health services, immunization and nutrition; integrated 13 information systems of key health programs into one single District Health Information Software 2; and prioritized PHC, which has led to shifting donors towards supporting PHC. Donors have revisited their aid policies designed to improve sustainability and ownership of the government. However, the government faces challenges in improving cross-programmatic efficiency at the operational level and in further increasing the health budget due to the economic crisis aggravated during Coronavirus disease 2019 (COVID-19). Working to implement donor transition strategies under the current economic situation and country challenges, calls into question the criteria used to evaluate transition. This criterion needs to include more appropriate indicators other than gross national income per capita, which does not reflect a country's readiness and capacity of the health system. There should be a more country-tailored strategy and support for considering the context and system-wide readiness during donor transition., (© World Health Organization, 2024. All rights reserved. The World Health Organization has granted the Publisher permission for the reproduction of this article.)

Monitoring health is key for identifying priorities in public health planning and improving healthcare services. Life expectancy has conventionally been regarded as a valuable indicator to compare the health status of different populations. However, this measure is simply the mean of the distribution of the length of life and, as such, neglects individual disparities in health outcomes. In this paper, we use life tables from the UN World Population Prospects to develop the most comprehensive dataset of lifespan inequality and polarization for 258 countries and areas for the period 1950–2021. These extensive series on lifespan distributions provide access to crucial information for researchers, practitioners, and the general public, thus contributing to a better understanding of health differences within and between nations. [ABSTRACT FROM AUTHOR]

Introduction: Although Jordan has made significant progress toward expanding the utilization of facility‐based intrapartum care, prior research highlights that poor service quality is still persistent. This study aimed to identify quality gaps between women's expectations and perceptions of the actual intrapartum care received, while exploring the contributing factors. Methods: Utilizing a pre–post design, quality gaps in intrapartum care were assessed among 959 women pre‐ and postchildbirth at a prominent tertiary hospital in northern Jordan. Data were gathered using the SERVQUAL scale, measuring service quality across reliability, responsiveness, tangibles, assurance, and empathy dimensions. Results: The overall mean gap score between women's expectations and perceptions of the quality of intrapartum care was −0.60 (±0.56). The lowest and highest mean gap scores were found to be related to tangibles and assurance dimensions, −0.24 (±0.39) and −0.88 (±0.35), respectively. Significant negative quality gaps were identified in the dimensions of assurance, empathy, and responsiveness, as well as overall service quality (p < 0.001). The MLR analyses highlighted education (β = 0.61), mode of birth (β = −0.60), admission timing (β = −0.41), continuity of midwifery care (β = −0.43), physician's gender (β = −0.62), active labour duration (β = 0.37), and pain management (β = −0.33) to be the key determinants of the overall quality gap in intrapartum care. Conclusion: Our findings underscore the importance of fostering a labour environment that prioritizes enhancing caregivers' empathetic, reassuring, and responsive skills to minimize service quality gaps and enhance the overall childbirth experience for women in Jordan. Patient or Public Contribution: This paper is a collaborative effort involving women with lived experiences of childbirth, midwives, and obstetrics and gynaecologist physicians. The original idea, conceptualization, data generation, and coproduction, including manuscript editing, were shaped by the valuable contributions of stakeholders with unique perspectives on intrapartum care in Jordan. [ABSTRACT FROM AUTHOR]

This paper aims to pay tribute to Mariupol and its inhabitants, the Ukrainian city which was entirely destroyed by the Russian army. Before the full-scale invasion, significant developments were happening in the field of mental health. The experience gained in that city, examples of good practices and active collaboration between the city administration, local professionals and the international development project "Mental Health for Ukraine", formed the foundation of interventions that were transferred to other regions in Ukraine. This paper describes the key steps, actions undertaken in 2019 to 2021 and achievements of the programme. Personal reflections also describe the context and experiences. [ABSTRACT FROM AUTHOR]

Simple Summary: As COVID-19 shifts from pandemic to endemic, emerging variants may be more or less virulent. Predicting whether an emerging COVID-19 variant has of high risk of causing severe disease is needed to plan for potential burdens on hospital capacity and protecting vulnerable populations. However, it takes time to do laboratory and animal experiments to determine whether a new genetic variant might be more severe, and the results may not be representative of when the virus infects humans. By the time there is epidemiological data on the severity of disease associated with a new variant, it can be too late for designing an optimal public health response. There is a critical need for computer models that can predict severe disease risk from genetic sequence data, which can be obtained from just the first few infections in a potential incoming wave. Two key challenges make computer modeling difficult: (1) sequence changes are complex, and (2) using historical data to predict future disease requires accounting for the confounding effects of changing patient demographics, improving therapeutics, and increased vaccination. In this paper, we introduce a novel interpretable deep learning architecture to solve this problem, demonstrating that it can make robust predictions for emerging variants. Through the COVID-19 pandemic, SARS-CoV-2 has gained and lost multiple mutations in novel or unexpected combinations. Predicting how complex mutations affect COVID-19 disease severity is critical in planning public health responses as the virus continues to evolve. This paper presents a novel computational framework to complement conventional lineage classification and applies it to predict the severe disease potential of viral genetic variation. The transformer-based neural network model architecture has additional layers that provide sample embeddings and sequence-wide attention for interpretation and visualization. First, training a model to predict SARS-CoV-2 taxonomy validates the architecture's interpretability. Second, an interpretable predictive model of disease severity is trained on spike protein sequence and patient metadata from GISAID. Confounding effects of changing patient demographics, increasing vaccination rates, and improving treatment over time are addressed by including demographics and case date as independent input to the neural network model. The resulting model can be interpreted to identify potentially significant virus mutations and proves to be a robust predctive tool. Although trained on sequence data obtained entirely before the availability of empirical data for Omicron, the model can predict the Omicron's reduced risk of severe disease, in accord with epidemiological and experimental data. [ABSTRACT FROM AUTHOR]

Background: In most developed countries, the number of cancer survivors is expected to increase in the coming decades because of rising incidence and survival rates and an aging population. These patients are heterogeneous in terms of health service demands: from recently diagnosed patients requiring first-course therapy to patients with extensive care needs and severe disabilities to long-term survivors who only need minimal care. Therefore, in terms of providing healthcare planners and policymakers with useful indicators for addressing policies according to health service demands, it is worth supplying updated measures of prevalence for groups of patients based on the level of care they require. The aim of this paper is to illustrate a new method for estimating short-term projections of cancer prevalence by phase of care that applies to areas covered by cancer registration. Methods: The proposed method combines linear regression models to project limited duration prevalence derived from cancer registry data and a session of the freely available software COMPREV to estimate the projected complete prevalence into three distinct clinically relevant phases of care: initial, continuing, and final. The method is illustrated and validated using data from the Veneto region in Italy for breast, colorectal, and lung cancers. Results: Prevalence is expected to increase in 2015-2026 for all considered cancer sites and sexes, with average annual variations spanning from 2.6% for women with lung cancer to 0.5% for men with colorectal cancer. The only exception is lung cancer prevalence in men, which shows an average annual decrease of 1.9%. The majority of patients are in the continuing phase of care, followed by the initial and final phases, except for lung cancer, where the final phase of care prevails over the initial one. Discussion: The paper proposes a method for estimating (short-term) future cancer healthcare needs that is based on user-friendly and freely available software and linear regression models. Validation results confirm the applicability of our method to the most frequent cancer types, provided that cancer registry data with at least 15 years of registration are available. Evidence from this method is addressed to policymakers for planning future cancer care, thus improving the cancer survivorship experience for patients and caregivers. [ABSTRACT FROM AUTHOR]

It is uncontroversial to claim that the extent to which health care interventions benefit patients is a relevant consideration for health care priority setting. However, when effects accrue to the individual patient, effects of a more indirect kind may accrue to other individuals as well, such as the patient's children, friends, or partner. If, and if so how, such relational effects should be considered relevant in priority setting is contentious. In this paper, we illustrate this question by using disease‐modifying drugs for Alzheimer's disease as a case in point. The ethical analysis begins by sketching the so‐called prima facie case for ascribing moral weight to relational effects and then moves on to consider a number of objections to it. We argue that, whereas one set of objections may be dismissed, there is another set of arguments that poses more serious challenges for including relational effects in priority setting. [ABSTRACT FROM AUTHOR]