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El suicidio se ha convertido en un problema social y de salud pública a nivel mundial. En este sentido, la Terapia de Aceptación y Compromiso (ACT) podría ser eficaz en su abordaje, existiendo evidencia sobre la relación entre algunos de sus componentes y la conducta suicida. Así, el presente estudio tuvo por objetivo realizar una revisión sistemática sobre la eficacia de ACT en conducta suicida. Para ello se siguió el protocolo PRISMA, empleando las siguientes bases de datos: PsycInfo, PubMed, Scopus y PsicoDoc. Inicialmente se obtuvieron 108 publicaciones potencialmente relevantes, de las cuales, finalmente, 13 fueron incluidas en la revisión. La calidad de los estudios se analizó a través de un instrumento de evaluación de riesgo de sesgos. Como resultados, a nivel general se observaron disminuciones estadísticamente significativas en ideación suicida (IS) y factores de riesgo de suicidio. Además, algunos estudios señalaron relaciones estadísticamente significativas entre un aumento de flexibilidad psicológica y la disminución de IS. Si bien los datos apuntaron a una posible eficacia de ACT en la reducción de IS, es necesario llevar a cabo mayor número de estudios experimentales que contemplen la complejidad de la conducta suicida y exploren los procesos de cambio implicados.(AU)

Suicide has emerged as a pressing global issue affecting both so-ciety and public health.In this context, Acceptance and Commitment Therapy (ACT) could prove effective in its approach, supported by evi-dence of the relationship between certain components of ACT and suicidal behavior. Thus, the present study aims to conduct a systematic review on the efficacy of ACT in suicidal behavior. For this, the PRISMA protocol was followed, using thefollowing databases: PsycInfo, PubMed, Scopus and PsicoDoc. Initially, 108 potentially relevant publicationswereobtained,13ofwhichwerefinallyincludedinthereview.Weanalyzedstudy qualityus-ingariskofbiasassessmentinstrument.Asaresult,statisticallysignificantdecreases in suicidal ideation (SI) and suicide risk factors were observed. In addition, some studies indicated statistically significant relationships be-tween increased psychological flexibility and decreasedSI.WhilethedatasuggestedthepotentialeffectivenessofACTinreducingsuicidal ideation (SI), more experimental studies are needed to consider the complexity of suicidal behavior and explore the processes of changeinvolved.(AU)

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Introduction: This study seeks to investigate the barriers to care that exist for patients presenting with sarcomas of musculoskeletal origin. Understanding the roots of delays in care for patients with musculoskeletal sarcoma is particularly important given the necessity of prompt treatment for oncologic diagnoses. Investigators reviewed relevant studies of publications reporting barriers to care in patients undergoing diagnosis and treatment of musculoskeletal tumors. Methods: A comprehensive literature search was conducted using Scopus, Embase, Web of Science, and PubMed-MEDLINE. Twenty publications were analyzed, including a total of 114,056 patients. Results: Four barrier subtypes were identified: Socioeconomic Status, Geographic Location, Healthcare Quality, Sociocultural Factors. Socioeconomic status included access to health insurance and income level. Geographic location included distance traveled by patients, access to referral centers, type of hospital system and resource-challenged environments. Healthcare quality included substandard imaging, access to healthcare resources, and healthcare utilization prior to diagnosis. Sociocultural factors included psychological states, nutrition, education and social support. Conclusion: After identifying the most significant barriers in this study, we can target specific public health issues within our community that may reduce delays in care. The assessment of barriers to care is an important first step for improving the delivery of oncologic patient care to this patient population.

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Objectives: This study aimed to develop and apply a structured approach for prioritising topics for systematic reviews in public health, framed according to the readily applicable PICO format, which encourages the involvement of stakeholders' preferences in a transparent matter. Methods: We developed a multi-stage process, consisting of a scoping and two Delphi stages with web-based surveys and invited public health stakeholders in Switzerland to participate: First, respondents specified topics for different public health domains, which were reformulated in a PICO format by content analysis. Second, respondents rated the topics using five stakeholder-refined assessment criteria. Overall rankings were calculated to assess differences between stakeholder groups and rating criteria. Results: In total, 215 respondents suggested 728 topics altogether. The response rate in the two Delphi stages was 91.6% and 77.6%, respectively. Most top-rated review topics focused on the effectiveness of interventions providing education to different target groups, followed by interventions to increase access to specific healthcare services. Conclusion: Our approach encourages involvement of stakeholders in identifying priorities for systematic reviews and highlights disparities between stakeholders and between individual criteria.

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The article describes the results and the experience gained in using a participatory approach to design a strategic development plan (SDP) in a veterinary public health institute. The bottom-up approach utilised was co-designed between the units of "Research and Innovation" and "Training". It included a survey administered to the institute staff (570 people) to collect inputs on three relevant areas: i) innovative research topics; ii) innovation needed to improve services; iii) new tools to carry out activities. After the survey, the following criteria were used to prioritise the research topics: appropriateness, relevance, capacity, impact and innovativeness. Based on the priority topics identified, small working groups were set up on a voluntary basis. The working groups, following the EuropeAid method, co-designed a SDP, set over a three-year period, with indications on aims, objectives, outputs, activities, SMART indicators, means of verification and targets. The method proved useful in continuing the process of institutional innovation, especially by stimulating the participation and commitment of younger innovative staff at the bottom of the hierarchical pyramid. The integration of the described method into regular management procedures would be desirable, to achieve more effective results.

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INTRODUCTION: The German Central Health Study Hub is a service that was initially developed at short notice during the COVID-19 pandemic. Since then, it has been expanded in scope, content, active users and functionality. The service is aimed at two main audiences: data provider and data consumers. The former want to share research data from clinical, public health and epidemiological studies and related documents according to the FAIR criteria for research data, and the latter want to find and ultimately reuse relevant research data in the above areas. METHODS: The service connects both groups via graphical and programmatic interfaces. A sophisticated information model is employed to describe and publish various research data objects while obeying data protection and fulfilling FAIR requirements. The service is being developed in a demand-driven manner with extensive user interaction. RESULTS: A free-to-use service, built on open-source software (Dataverse, MICA, Keycloak), accessible via a web-browser. In close collaboration with users several features (ranging from collection to group items to combined data capture via API and UI) were created. The adoption of the service increases continuously and results in over 1,970 research data objects in June 2024. CONCLUSION: The service fills a marked gap and connects both user groups, yet it still needs to be improved in various dimensions (features, content, usage). The impact on the community needs to be further assessed. Despite recent legislative changes (GDNG, EHDS), the system improves the findability of sensitive data, provides a blueprint for similar systems and shows how to create a useful and user-friendly service together with users.

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The integration of machine learning (ML) and artificial intelligence (AI) techniques in life-course epidemiology offers remarkable opportunities to advance our understanding of the complex interplay between biological, social, and environmental factors that shape health trajectories across the lifespan. This perspective summarizes the current applications, discusses future potential and challenges, and provides recommendations for harnessing ML and AI technologies to develop innovative public health solutions. ML and AI have been increasingly applied in epidemiological studies, demonstrating their ability to handle large, complex datasets, identify intricate patterns and associations, integrate multiple and multimodal data types, improve predictive accuracy, and enhance causal inference methods. In life-course epidemiology, these techniques can help identify sensitive periods and critical windows for intervention, model complex interactions between risk factors, predict individual and population-level disease risk trajectories, and strengthen causal inference in observational studies. By leveraging the five principles of life-course research proposed by Elder and Shanahan-lifespan development, agency, time and place, timing, and linked lives-we discuss a framework for applying ML and AI to uncover novel insights and inform targeted interventions. However, the successful integration of these technologies faces challenges related to data quality, model interpretability, bias, privacy, and equity. To fully realize the potential of ML and AI in life-course epidemiology, fostering interdisciplinary collaborations, developing standardized guidelines, advocating for their integration in public health decision-making, prioritizing fairness, and investing in training and capacity building are essential. By responsibly harnessing the power of ML and AI, we can take significant steps towards creating healthier and more equitable futures across the life course.

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INTRODUCTION: Every year, children are poisoned with lead with irreversible effects. This exposure most often occurs in older housing built before 1978 with chipping paint from windowsills where children play and ingest the lead particulates. Exposure to lead can cause neurological and psychological dysfunction, among other health issues. OBJECTIVE: This quality improvement study aims to evaluate our knowledge of at-risk children through a public health approach by analyzing the current public health data and possible barriers to lead screening, testing follow-up, and identifying at-risk children. METHODS: We received data on lead-poisoned children and inspected properties from the City of Milwaukee Health Department. We analyzed each child's initial blood lead level, as well as follow-up tests recorded, ZIP code of residence, and family renter versus home ownership. RESULTS: Over 90% of children in the database had recorded follow-up blood lead testing following an initial elevated blood lead level. There was no difference in initial recorded blood lead levels between children with recorded follow-up blood lead levels and children without (21.40, SD = 11.26); t[1.17], P = 0.24). Most affected children were from economically disadvantaged ZIP codes (53206, 53208, 53215), and 94% lived in rented properties. CONCLUSIONS: Over 90% of children in the database had recorded follow-up blood lead testing following an initial elevated blood lead level. There was no difference in initial recorded blood lead levels between children with recorded follow-up blood lead levels and children without (21.40, SD = 11.26); t[1.17], P = 0.24). Most affected children were from economically disadvantaged ZIP codes (53206, 53208, 53215), and 94% lived in rented properties.

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This study explores the nuances of information sharing in the context of infodemics, with a concentrated examination of the effects of opinion leaders and information attention on users' disposition towards sharing information during public health emergencies. The research adopts a quantitative methodology, employing Structural Equation Modeling (SEM) to empirically test the proposed hypotheses. By employing a rigorous analytical framework, the research also scrutinizes the mediating role of risk perception in shaping users' intentions to disseminate information related to public health emergencies. Additionally, it investigates the moderating effect of perceived usefulness, shedding light on how it influences the strength of the relationship between information attention and risk perception. The findings underscore the significance for public health communication strategies, emphasizing targeted messaging utilizing trusted opinion leaders and emphasizing information utility to foster responsible sharing. This research contributes to the academic conversation on infodemic management, providing empirical insights to guide policies and practices in mitigating misinformation during public health emergencies.

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Precision public healthcare has been applied to bring about positive change, narrowing the gap in healthcare inequity for Aboriginal peoples. Three such examples include the Mappa, Lyfe Languages, and Pilbra Faces projects, which were all developed through engagement and codesign with Indigenous Australians and each meet a distinct critical need. The Mappa project offers patients and healthcare providers with the necessary geographical information to navigate and maximally utilize available healthcare services. Lyfe Languages is a community driven translational tool that empowers indigenous languages in healthcare. The Pilbara Faces project aims to create a database of clinical measurements enabling better disease diagnosis and monitoring. These three projects have been integrated into a multi-faceted precision public health program, the Healthy Pilbara Project Initiative, acting synergistically to improve the lives of Aboriginal peoples living in Western Australia.

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Background: In recent years, the development of global public health has become a matter of great concern and importance for governments worldwide. China, as the largest developing country, plays a crucial role in shaping the development of the public health and its ability to respond to sudden public health emergencies through the fairness of its human resource allocation in center for disease control and prevention (CDC). Objective: This study aims to analyze the situation of health human resource allocation in the China Centers for Disease Control and Prevention (China CDCs), assess the fairness of the allocation, and provide reference for the rational allocation of human resources. Methods: We selected data from the China Health Statistics Yearbook on healthcare technical personnel, other technical personnel, managerial personnel, and workforce technical personnel of China CDCs for the period of 2016-2020. We utilized the Health Resource Density Index to evaluate the level of human resource allocation in China CDCs. Additionally, we used the Gini coefficient and Theil index to assess the fairness of human resource allocation in China CDCs from both a population and geographical perspective. Results: Firstly, the educational qualifications and professional titles of CDC staff have improved, but the workforce is aging. Secondly, HRDI development trends vary among different personnel types and regions with varying levels of economic development. Finally, the results of the Gini coefficient and Theil index indicate that population distribution fairness is better than geographical distribution fairness. Overall, the unfair population distribution is primarily due to regional disparities. Conclusion: The China CDCs should tailor different standards for the allocation of health human resources based on regional characteristics, aiming to enhance the accessibility of health human resources in various regions and achieve equitable allocation.

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INTRODUCTION: Violence against women (VAW) is a persistent global public health problem that runs across all social classes and ethnicities with a considerable negative influence on women's health and behaviour. Early detection, appropriate interventions and multidisciplinary cooperation are crucial factors in tackling gender violence. OBJECTIVES: This note describes "The Violence against women: long-term health effects for precision prevention" transdisciplinary and multicenter project that aims to implement the National Guidelines with two sets of questions: the European Injury Database (EU-IDB) violence module and the Post-Traumatic Stress Disorder (PTSD) questionnaire for improving innovative approaches to limit the long-term health effect of VAW. Furthermore, the analysis of epigenetic profile in women's DNA may contribute to the knowledge of molecular mechanisms underlying PTSD and other non-communicable diseases. Epigenomic research in parallel with rigourous guidelines and social, educational, clinical and community interventions could accomplish innovative precision prevention protocols. CONCLUSIONS: Public health plays essential role in identifying risk factors and strengthening the support for women victims of violence.

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Community-based intervention (CBI) programs promote lifestyle changes, modify risk factors, and substantially improve public health. Social mobilization and community involvement improve health outcomes, reduce health disparities, and improve access to care and services. Health intervention program evaluations are essential to provide evidence-based strategies that can enhance the design and implementation of successful health promotion programs. Interventions that enable the United Arab Emirates (UAE) community to change and modify unhealthy behaviors were the priority of the last decade and are the health authorities' objectives. The Department of Health Abu Dhabi launched a wellness program to enable the community to adopt healthy behaviors. The Public Health Ambassadors program is a community-based health intervention program under the Abu Dhabi Public Health Centre, inaugurated in 2019. This paper describes the Public Health Ambassadors CBI conducted in Abu Dhabi. The implementation science framework was used to develop the intervention. The Public Health Ambassadors is one of the UAE's earliest and most successful CBIs. The program can be used as a model to encourage more health promotion interventions in the country and the region. The role of the program was highlighted during the COVID-19 pandemic. Voluntary community participation and social responsibilities are essential competencies promoted by this program.

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This study investigates the impact of air pollution on health outcomes in Middle Eastern countries, a region facing severe environmental challenges. As such, these are important in an effort to add up to policy-level as well as interventional changes that can be put in practice in the area of public health. Numeration analysis and association with health parameters was carried out by using Analytical tools such as, AIR Data, ARIMA,ANN, SVM and Exponential smoothing. Amongst the models, Support Vector Machine came again on top, with high accuracy yielding Mean Absolute Percentage Error of approximately 1%. Mortality of Air pollution in Qat from the case of Mortality of Air Pollution in Qatar is 959 while Auto regressive Integrated Moving average is 11.096, Exponential Smoothing 9.892 and Artificial Neural Networks are the source of inspiration for the development of this paper 4.61. The above perceptions indicate that there is need to adapt modeling strategies depending on the context and establish that it is possible to implement ML models in public health planning basket. This paper publishes the methodological frameworks for the purpose of modeling and analysis of the EHDs and serves as policy prescription for the policy makers to intending to reduce the effects of air borne pollution on health.

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The COVID-19 pandemic has been persistent with a huge demand for human health resources which is a vital component of its preparedness and response. Globally, the public health workforce through field epidemiology and laboratory training programme (FELTP) has been instrumental to global health security. We determined the status of FELTP in the region and its contributions to the COVID-19 pandemic response in the ECOWAS region. We conducted a desk review, shared a questionnaire among member states and organized a two-day online regional consultative meeting on field epidemiology training on 30th-31st March 2022 during which there were presentations, group discussions and deliberations on the status and contribution of FETP during the COVID-19 pandemic. Data collected were analyzed in themes. All countries in the ECOWAS region had established at least one tier of FELTP, 11 (73.3%) had established two tiers of FELTP and only 3 (20.0%) had established all three tiers of the program. Despite the pandemic, the cumulative number of graduates increased from 2996 to 4271 frontline, 41 to 380 intermediate, and 409 to 802 for advanced FELTP between 2019 and 2022. However, the progress has been disproportionate across countries. The key activities supported through FELTP graduates included pandemic response coordination, surveillance, data collection/management, laboratory support, case management, risk communication, infection prevention and control, COVID-19 vaccination, and research. Despite improvements in the FELTP in the Economic Community of West African States (ECOWAS) region, there is a need for continuous stakeholder engagement for its implementation, resource mobilization for sustainability, and leveraging critical partnerships.

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BACKGROUND: Research dissemination is essential to accelerate the translating of evidence into practice. Little is known about dissemination among Chinese public health researchers. This study aimed to explore the understanding and practices of disseminating research findings and to identify barriers and facilitators that influence dissemination activities to non-research audiences. METHODS: This study deployed an exploratory qualitative design with purposive and snowball sampling. One focus group with 5 participants and 12 in-depth interviews were conducted with participants working in diverse fields from universities (n = 10), the National Chinese Center for Disease Control and Prevention (n = 4), the Chinese National Cancer Center (n = 1), the Chinese National Center for Cardiovascular Disease (n = 1), and China office of a global research institute (n = 1) from May to December 2021 to reach saturation. Data were initially analyzed using inductive thematic analysis. The designing for dissemination (D4D) logic model was then used to organize themes and subthemes. Two coders independently coded all transcripts and discussed disparities to reach a consensus. RESULTS: Out of 17 participants, 12 misunderstood the concept of dissemination; 14 had disseminated to non-research audiences: 10 to the public, 10 to practitioners, and 9 to policymakers. We identified multiple barriers to dissemination to non-research audiences across four phases of the D4D logic model, including low priority of dissemination, limited application of D4D strategies, insufficient support from the research organizations, practice settings, and health systems, and overemphasis on academic publications. CONCLUSIONS: There was a lack of understanding and experience of dissemination, indicating a lack of emphasis on active dissemination in China. We provide implications for raising awareness, building capacity, facilitating multidisciplinary collaboration, providing incentives and infrastructure, changing climate and culture, establishing communication and executive networks, and accelerating systematic shifts in impact focus.

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