Estudio de prevalencia, conocimiento y control de la hipertensión arterial en barrios vulnerables de Argentina / Prevalence, knowledge and control of arterial hypertension in vulnerable neighborhoods of Argentina: A Cross-sectional Study

Introducción: La hipertensión arterial (HTA) representa el principal factor de riesgo individual, con mayor carga a nivel mundial de enfermedades cardiovasculares (ECV). En nuestro país, algunos trabajos epidemiológicos han mostrado marcadas diferencias en las prevalencias de estos factores de riesgo de acuerdo con la población evaluada. Sin embargo, no hay estudios epidemiológicos de evaluación de factores de riesgo cardiovascular exclusivos referentes a barrios vulnerables con muy bajos recursos económicos, socioculturales y poca accesibilidad a los sistemas de salud. Materiales y métodos: Estudio observacional de corte transversal multicéntrico en habitantes de comunas vulnerables de muy bajos recursos, como asentamientos populares y barrios carenciados con muestreo aleatorizado simple de casas. Se realizaron tomas de presión arterial (PA), medidas antropométricas, así como cuestionarios epidemiológicos, económicos y socioculturales. Se describen los hallazgos: prevalencia, conocimiento y control de la PA en las distintas regiones. Se efectuó una regresión logística para determinar las variables independientes a los resultados principales. Resultados: Se analizaron 989 participantes. La prevalencia de HTA global fue de 48,2%. Un total de 82% tenía un índice de masa corporal (IMC) >25 kg/m2. De estos pacientes, 45,3% tenían menos de seis años de educación. Este último aspecto se asoció a mayor prevalencia de HTA de forma independiente. De los hipertensos, 44% desconocían su padecimiento y solo en 17,2% estaba controlado, asociándose esto a tener obra social (OS) y mayor nivel educativo. Únicamente 24% estaban bajo tratamiento combinado. Conclusión: La prevalencia de HTA en barrios vulnerables es elevada, superando a la de otros estratos sociales con niveles de conocimiento, tratamiento y control de la HTA bajos, similar a otras poblaciones. Se detectó un uso insuficiente de la terapia combinada.

Introduction: Hypertension (HTN) represents the primary individual risk factor, contributing significantly to the global burden of cardiovascular diseases (CVD). In our country, epidemiological research has highlighted substantial variations in the prevalence of these risk factors across different populations. However, there is a lack of epidemiological studies assessing exclusive cardiovascular risk factors within vulnerable neighborhoods characterized by extremely limited economic resources, sociocultural challenges, and inadequate healthcare access. Methods: A multicenter cross-sectional observational study was conducted among individuals residing in economically deprived and marginalized communities, including informal settlements and underprivileged neighborhoods. Simple random sampling of households was employed. Blood pressure measurements, anthropometric assessments, and epidemiological, economic, and sociocultural questionnaires were administered. Results encompass prevalence rates, awareness levels, and blood pressure control across diverse regions. Logistic regression was utilized to identify independent variables influencing primary outcomes. Results: A total of 989 participants were analyzed. The overall prevalence of hypertension was 48.2%. About 82% had a body mass index (BMI) >25. Approximately 45.3% had less than 6 years of formal education. Independent association was established between education levels below 6 years and higher hypertension prevalence Among hypertensive individuals, 44% were unaware of their condition, with only 17.2% achieving control, correlated with having health insurance and a higher educational background. Merely 24% were receiving combined therapy. Conclusion: The prevalence of hypertension within vulnerable neighborhoods is alarmingly high, surpassing rates in other social strata. Knowledge, treatment, and control levels of hypertension are suboptimal, comparable to other populations... (AU)

Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis.

BACKGROUND: Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI is used in specialized fields such as radiology, pathology, and ophthalmology. Despite the advantages of AI, the fear of human labor being replaced by this technology makes some students reluctant to choose specific fields. This meta-analysis aims to investigate the knowledge and attitude of medical, dental, and nursing students and experts in this field about AI and its application. METHOD: This study was designed based on PRISMA guidelines. PubMed, Scopus, and Google Scholar databases were searched with relevant keywords. After study selection according to inclusion criteria, data of knowledge and attitude were extracted for meta-analysis. RESULT: Twenty-two studies included 8491 participants were included in this meta-analysis. The pooled analysis revealed a proportion of 0.44 (95%CI = [0.34, 0.54], P < 0.01, I2 = 98.95%) for knowledge. Moreover, the proportion of attitude was 0.65 (95%CI = [0.55, 0.75], P < 0.01, I2 = 99.47%). The studies did not show any publication bias with a symmetrical funnel plot. CONCLUSION: Average levels of knowledge indicate the necessity of including relevant educational programs in the student's academic curriculum. The positive attitude of students promises the acceptance of AI technology. However, dealing with ethics education in AI and the aspects of human-AI cooperation are discussed. Future longitudinal studies could follow students to provide more data to guide how AI can be incorporated into education.

Building a house without foundations? A 24-country qualitative interview study on artificial intelligence in intensive care medicine.

OBJECTIVES: To explore the views of intensive care professionals in high-income countries (HICs) and lower-to-middle-income countries (LMICs) regarding the use and implementation of artificial intelligence (AI) technologies in intensive care units (ICUs). METHODS: Individual semi-structured qualitative interviews were conducted between December 2021 and August 2022 with 59 intensive care professionals from 24 countries. Transcripts were analysed using conventional content analysis. RESULTS: Participants had generally positive views about the potential use of AI in ICUs but also reported some well-known concerns about the use of AI in clinical practice and important technical and non-technical barriers to the implementation of AI. Important differences existed between ICUs regarding their current readiness to implement AI. However, these differences were not primarily between HICs and LMICs, but between a small number of ICUs in large tertiary hospitals in HICs, which were reported to have the necessary digital infrastructure for AI, and nearly all other ICUs in both HICs and LMICs, which were reported to neither have the technical capability to capture the necessary data or use AI, nor the staff with the right knowledge and skills to use the technology. CONCLUSION: Pouring massive amounts of resources into developing AI without first building the necessary digital infrastructure foundation needed for AI is unethical. Real-world implementation and routine use of AI in the vast majority of ICUs in both HICs and LMICs included in our study is unlikely to occur any time soon. ICUs should not be using AI until certain preconditions are met.

Navigating the Science System: Research Integrity and Academic Survival Strategies.

Research Integrity (RI) is high on the agenda of both institutions and science policy. The European Union as well as national ministries of science have launched ambitious initiatives to combat misconduct and breaches of research integrity. Often, such initiatives entail attempts to regulate scientific behavior through guidelines that institutions and academic communities can use to more easily identify and deal with cases of misconduct. Rather than framing misconduct as a result of an information deficit, we instead conceptualize Questionable Research Practices (QRPs) as attempts by researchers to reconcile epistemic and social forms of uncertainty in knowledge production. Drawing on previous literature, we define epistemic uncertainty as the inherent intellectual unpredictability of scientific inquiry, while social uncertainty arises from the human-made conditions for scientific work. Our core argument-developed on the basis of 30 focus group interviews with researchers across different fields and European countries-is that breaches of research integrity can be understood as attempts to loosen overly tight coupling between the two forms of uncertainty. Our analytical approach is not meant to relativize or excuse misconduct, but rather to offer a more fine-grained perspective on what exactly it is that researchers want to accomplish by engaging in it. Based on the analysis, we conclude by proposing some concrete ways in which institutions and academic communities could try to reconcile epistemic and social uncertainties on a more collective level, thereby reducing incentives for researchers to engage in misconduct.

A method to enhance drivers' hazard perception at night based on "knowledge-attitude-practice" theory.

During nighttime driving, the inherent challenges of low-illuminance conditions often lead to an increased crash rate and higher fatalities by impairing drivers' ability to recognize imminent hazards. While the severity of this issue is widely recognized, a significant research void exists with regard to strategies to enhance hazard perception under such circumstances. To address this lacuna, our study examined the potential of an intervention grounded in the knowledge-attitude-practice (KAP) framework to bolster nighttime hazard detection among drivers. We engaged a cohort of sixty drivers split randomly into an intervention group (undergoing specialized training) and a control group and employed a holistic assessment that combined eye movement analytics, physiological response monitoring, and driving performance evaluations during simulated scenarios pre- and post-intervention. The data showed that the KAP-centric intervention honed drivers' visual search techniques during nighttime driving, allowing them to confront potential threats with reduced physiological tension and ensuring more adept vehicle handling. These compelling findings support the integration of this methodology in driver training curricula and present an innovative strategy to enhance road safety during nighttime journeys.

Phronesis: Recognising a neglected dimension of knowledge within occupational therapy research.

BACKGROUND: Phronesis is a way of knowing, implying wisdom, experiences, and reflections that guide our judgements. Phronesis, important for learning, is a neglected form of knowledge when applied to research. AIM: To examine how phronesis is conceptualised and practiced in three research projects. METHOD: Data from eight interviews with researchers involved in three research projects was generated. The interview material was analysed. A theoretical matrix of contemporary understanding of phronesis was applied to the material. RESULT: Examples of phronesis from three research projects in occupational therapy are presented according to categories of contemporary phronesis; acknowledging embodiment, embracing humility, using perceptiveness, and practicing reflexivity. SIGNIFICANCE: This unique approach of analysing research projects contributes to the understanding of phronesis and its implications for research, providing valuable insights into the researchers' praxis in their respective projects. CONCLUSION: There is a need for a greater recognition of phronesis as a dimension of knowledge within all types of research, and within the discipline. By not recognising phronesis as a legitimate form of knowledge, the discipline perpetuates a superiority of knowledge from episteme that dominates our ways of learning about the world around us and where the type of knowledge gleaned from phronesis is consequently marginalised.

Editorial perspective: Transforming child and adolescent mental health services and systems (CAMHSS) around the globe - the importance of diversity, inclusion and equity in CAMHSS research.

Children and adolescents around the globe have mental health and neurodevelopmental needs. However, no country or region of the world has found good solutions to meet these needs, which are often long-term and complex. Most child and adolescent mental health research comes from high-income, mostly English-speaking, contexts even though 95% of the world's children and adolescents live in low- and middle-income countries (LMIC), where there is vast cultural, linguistic, and socio-economic diversity, with limited services and systems for child and adolescent mental health (CAMH). There is therefore both a 'knowledge gap' (more than 90% of all research represents less than 10% of the global population) and an 'identification and treatment gap' (fewer than 1 in 10 children in LMIC ever receive a diagnosis or any kind of treatment). The purpose of this editorial perspective was to consider the challenges of diversity, inclusion and equity in CAMH research around the globe, and to present some practical things we can all do to close these gaps and transform the global CAMH research agenda.

Enhancing system safety in critical architectures: Augmented hypothesis testing with early design knowledge.

Hypothesis testing is a valuable method used to investigate ideas and test predictions arising from theories based on available data. In the context of critical system architecture, there is a need to effectively utilize hypothesis testing to identify faulty paths and improve system safety. This research aims to propose guidelines and best practices for presenting hypothesis testing in critical system architecture. The problem addressed in this study is the underutilization of hypothesis testing in life-critical system methods, resulting in a lack of identification of faulty paths. To address this challenge, we propose an enhanced pathway analysis technique that integrates error-derived information from a system's architectural description, thereby augmenting traditional hypothesis testing methods. By investigating various paths, we aim to identify false positive and false negative errors in life-critical system architecture. Furthermore, the proposed method is validated based on specific validation criteria for each step such as system boundary, assumption, content/architecture, and traceability validations. Also, the method is evaluated based on our claims. The results of our research highlight the significance of tracing errors in early system knowledge. By leveraging the augmented hypothesis testing method, we are able to identify hazards, safety constraints, and specific causes of unsafe actions more effectively. The findings emphasize the importance of integrating early design knowledge into hypothesis testing for enhanced hazard identification and improved system safety.

The Alzheimer's Knowledge Base: A Knowledge Graph for Alzheimer Disease Research.

BACKGROUND: As global populations age and become susceptible to neurodegenerative illnesses, new therapies for Alzheimer disease (AD) are urgently needed. Existing data resources for drug discovery and repurposing fail to capture relationships central to the disease's etiology and response to drugs. OBJECTIVE: We designed the Alzheimer's Knowledge Base (AlzKB) to alleviate this need by providing a comprehensive knowledge representation of AD etiology and candidate therapeutics. METHODS: We designed the AlzKB as a large, heterogeneous graph knowledge base assembled using 22 diverse external data sources describing biological and pharmaceutical entities at different levels of organization (eg, chemicals, genes, anatomy, and diseases). AlzKB uses a Web Ontology Language 2 ontology to enforce semantic consistency and allow for ontological inference. We provide a public version of AlzKB and allow users to run and modify local versions of the knowledge base. RESULTS: AlzKB is freely available on the web and currently contains 118,902 entities with 1,309,527 relationships between those entities. To demonstrate its value, we used graph data science and machine learning to (1) propose new therapeutic targets based on similarities of AD to Parkinson disease and (2) repurpose existing drugs that may treat AD. For each use case, AlzKB recovers known therapeutic associations while proposing biologically plausible new ones. CONCLUSIONS: AlzKB is a new, publicly available knowledge resource that enables researchers to discover complex translational associations for AD drug discovery. Through 2 use cases, we show that it is a valuable tool for proposing novel therapeutic hypotheses based on public biomedical knowledge.

Effects of ChatGPT's AI capabilities and human-like traits on spreading information in work environments.

The rapid proliferation and integration of AI chatbots in office environments, specifically the advanced AI model ChatGPT, prompts an examination of how its features and updates impact knowledge processes, satisfaction, and word-of-mouth (WOM) among office workers. This study investigates the determinants of WOM among office workers who are users of ChatGPT. We adopted a quantitative approach, utilizing a stratified random sampling technique to collect data from a diverse group of office workers experienced in using ChatGPT. The hypotheses were rigorously tested through Structural Equation Modeling (SEM) using the SmartPLS 4. The results revealed that system updates, memorability, and non-language barrier attributes of ChatGPT significantly enhanced knowledge acquisition and application. Additionally, the human-like personality traits of ChatGPT significantly increased both utilitarian value and satisfaction. Furthermore, the study showed that knowledge acquisition and application led to a significant increase in utilitarian value and satisfaction, which subsequently increased WOM. Age had a positive influence on WOM, while gender had no significant impact. The findings provide theoretical contributions by expanding our understanding of AI chatbots' role in knowledge processes, satisfaction, and WOM, particularly among office workers.

[Faisabilité de l'exploration des fonctions exécutives des résidents d'établissement d'hébergement pour personnes âgées]. / Feasibility of exploring executive functions in long-term care residents, the Screening Executive Tests for Elderly.

Impairment of cognitive functions is the primary reason for admission to long-term care units, with executive functions playing a pivotal role in dependency and behavioral issues. These functions pose significant challenges to nursing staff in providing care. However, the assessment of executive functions in elderly individuals residing in nursing homes often relies on tests that are both time-consuming and difficult for this demographic. In many instances, executive functions are either not assessed or only examined in broad terms. OBJECTIVE: The objective of this study was to analyze the feasibility of assessing executive functions in elderly nursing home residents, specifically aiming to distinguish sub-components such as mental flexibility, working memory, planning, and inhibition. The residents included in the study underwent executive function assessments over three visits, using various tests for each sub-component. METHODS: Out of 530 residents, 46 gave their consent and 38 completed the three visits, with an average age of 90±5 years (76.2% women) and a median MMSE score of 20/30. Feasibility was evaluated based on the test being executed and the frequency of interruptions due to difficulty or fatigue on the part of the resident. RESULTS: Only four tests proved suitable for elderly individuals in nursing homes, and we propose grouping them into a battery named SETE (Screening Executive Tests for Elderly): the conflicting instructions from the FAB, the alpha test, the clock test, and the verbal span test. CONCLUSION: The use of these four tests would enable the construction of a map delineating executive function impairment by sub-component. Enhanced knowledge of executive functions in long-term care residents will facilitate better adapted dependency management and the implementation of non-pharmacological interventions for behavioral disorders.

AI technology specialization and national competitiveness.

This study investigates the factors influencing specialization in artificial intelligence (AI) technology, a critical element of national competitiveness. We utilized a revealed comparative advantage matrix to evaluate technological specialization across countries and employed a three-way fixed-effect panel logit model to examine the relationship between AI specialization and its determinants. The results indicate that the development of AI technology is strongly contingent on a nation's pre-existing technological capabilities, which significantly affect AI specialization in emerging domains. Additionally, this study reveals that scientific knowledge has a positive impact on technological specialization, highlighting the necessity of integrating scientific advancements with technological sectors. Although complex technologies positively influence AI specialization, their effect is less pronounced than that of scientific knowledge. This suggests that in rapidly advancing fields, such as AI, incorporating new scientific knowledge into related industries may be more advantageous than simply advancing existing technologies to outpace competitors. This insight points nations toward enhancing AI competitiveness in new areas, emphasizing the vital importance of both scientific and technological capabilities, and the integration of novel AI knowledge with established sectors. This research offers critical guidance for policymakers in less technologically and economically developed countries, as these nations may not have the technological infrastructure required to foster AI specialization through increased technical complexity.

Plant cultural indicators of forest resources from the Himalayan high mountains: implications for improving agricultural resilience, subsistence, and forest restoration.

AIM: Biocultural legacy practices are intricately tied to forestry resources, ethnic identity, and social cohesiveness. This study aims to determine the plant cultural values of forest resources and identify plant cultural indicators in each ethnic group, which can aid in long-term natural resource management plans in the current debate on socio-environmental and ecological transitions. METHODS: Semi-structured interviews, focus group discussions, and field observations were employed to collect data for a comprehensive and systematic ethnobotanical survey from February 2018 to October 2022. RESULTS: A total of 330 informants reported 154 plant species from 65 families. Asteraceae was the most prominent botanical family, with herbaceous plant groups outnumbering trees and shrubs. The Gujjar and Pahari groups exhibited the highest level of overlap, followed by significant overlaps between the Gujjar and Kashmiri communities. The close affinity observed between the Gujjar and Pahari groups suggests the horizontal pattern of local plant knowledge between these communities, influenced by their sociocultural interactions and intermarriages. Notably, the Pahari community displayed a rich understanding of medicinal plants and shared unique uses for the reported taxa. This study affirms that both ecological factors and sociocultural influences have played significant roles in shaping local plant knowledge. A total of 31 plant species have been identified as plant cultural markers among all four ethnic groups. We observed a positive correlation between plant cultural values and plant use with the Gujjar and Kashmiri ethnic groups. Artemisia absinthium reported the highest use value of (0.57) with use reports of (189). Adonis aestivalis, Cynoglossum nervosum, Geum elatum, Geranium himalayense, Juncus inflexus, Oxalis acetosella, Polygonatum biflorum, and Salvia hians from the Himalayan region are among the plant taxa whose ethnomedicinal applications are described here for the first time. CONCLUSION: Our data show that local and indigenous forest knowledge and practices could significantly contribute to forest conservation and ecological transition. This may happen if stakeholders generate clear frameworks and biocultural conservation strategies aimed at both dynamically preserve natural habitats and ways of traditional management of local natural resources.

Evolution of Food and Nutrition Policy: A Tasmanian Case Study from 1994 to 2023.

Food security is a concept with evolving definitions and meanings, shaped by contested knowledge and changing contexts. The way in which food security is understood by governments impacts how it is addressed in public policy. This research investigates the evolution of discourses and practices in Tasmanian food and nutrition policies from 1994 to 2023. Four foundational documents were analysed using qualitative document analysis, revealing persistent food insecurity issues over three decades. The analysis identified a duality in addressing the persistent policy challenges of nutrition-related health issues and food insecurity: the balancing act between advancing public health improvements and safeguarding Tasmania's economy. The research revealed that from 1994 to 2023, Tasmania's food and nutrition policies and strategies have been characterised by various transitions and tensions. Traditional approaches, predominantly emphasising food availability and, to a limited extent, access, have persisted for over thirty years. The transition towards a more contemporary approach to food security, incorporating dimensions of utilisation, stability, sustainability, and agency, has been markedly slow, indicating systemic inertia. This points to an opportunity for future policy evolution, to move towards a dynamic and comprehensive approach. Such an approach would move beyond the narrow focus of food availability to address the complex multi-dimensional nature of food security.

Intra- and Interpersonal Dimensions of Orthorexia: Preliminary Development and Validation of an Intra- and Interpersonal Effects Scale for Orthorexia.

Orthorexia nervosa (ON) is a disorder characterized by dietary restrictions and an obsessive focus on "healthy" eating. The present study analyzes two aspects of ON. One related to the inner experiences of the individual (intrapersonal). The other concerns the impact of ON on interpersonal relationships (interpersonal). The developed scale was named the Intra- and Interpersonal Effects Scale of Orthorexia (IIESO). The analysis showed an average correlation between the INTER and INTRA factors (r = 0.46). Both the INTER and INTRA scales correlated strongly with both subscales of the TOS but weakly with the ORTO-R score. Females obtained higher scores on the INTER scale (p < 0.01), while no differences were shown for the INTRA subscale or the overall scale score (p < 0.01). Subjects using supplements had higher mean scores on the INTER and INTRA subscales and for the total score. Among the analyzed results, the greatest strength effect was shown for the total score on the IIESO scale (INTER+INTRA) and the TOS scale. The questionnaires used to date have not distinguished between behaviors from interpersonal and intrapersonal perspectives. Research on these dimensions could expand our knowledge of the disorder and refine diagnostic criteria.

Minerals and the Menstrual Cycle: Impacts on Ovulation and Endometrial Health.

The role of minerals in female fertility, particularly in relation to the menstrual cycle, presents a complex area of study that underscores the interplay between nutrition and reproductive health. This narrative review aims to elucidate the impacts of minerals on key aspects of the reproductive system: hormonal regulation, ovarian function and ovulation, endometrial health, and oxidative stress. Despite the attention given to specific micronutrients in relation to reproductive disorders, there is a noticeable absence of a comprehensive review focusing on the impact of minerals throughout the menstrual cycle on female fertility. This narrative review aims to address this gap by examining the influence of minerals on reproductive health. Each mineral's contribution is explored in detail to provide a clearer picture of its importance in supporting female fertility. This comprehensive analysis not only enhances our knowledge of reproductive health but also offers clinicians valuable insights into potential therapeutic strategies and the recommended intake of minerals to promote female reproductive well-being, considering the menstrual cycle. This review stands as the first to offer such a detailed examination of minerals in the context of the menstrual cycle, aiming to elevate the understanding of their critical role in female fertility and reproductive health.

Sudden Infant Death Syndrome (SIDS): State of the Art and Future Directions.

Sudden infant death syndrome (SIDS) is a type of death that occurs suddenly and without any apparent explanation, affecting infants between 28 days of life and up to a year. Recognition of this entity includes performing an autopsy to determine if there is another explanation for the event and performing both an external and internal examination of the different tissues to search for possible histopathological findings. Despite the relative success of awareness campaigns and the implementation of prevention measures, SIDS still represents one of the leading causes of death among infants worldwide. In addition, although the development of different techniques has made it possible to make significant progress in the characterization of the etiopathogenic mechanisms underlying SIDS, there are still many unknowns to be resolved in this regard and the integrative consideration of this syndrome represents an enormous challenge to face both from a point of view scientific and medical view as humanitarian. For all these reasons, this paper aims to summarize the most relevant current knowledge of SIDS, exploring from the base the characterization and recognition of this condition, its forensic findings, its risk factors, and the main prevention measures to be implemented. Likewise, an attempt will be made to analyze the causes and pathological mechanisms associated with SIDS, as well as potential approaches and future paths that must be followed to reduce the impact of this condition.

Intersectoral Partnerships Between Local Governments and Health Organisations in High-Income Contexts: A Scoping Review.

BACKGROUND: Local governments are the closest level of government to the communities they serve. Traditionally providing roads, rates and garbage services, they are also responsible for policy and regulation, particularly land use planning and community facilities and services that have direct and indirect impacts on (equitable) health and well-being. Partnerships between health agencies and local government are therefore an attractive proposition to progress actions that positively impact community health and well-being. Yet, the factors underpinning these partnerships across different contexts are underdeveloped, as mechanisms to improve population health and well-being. METHODS: A scoping review was conducted to gain insight into the concepts, theories, sources, and knowledge gaps that shape partnerships between health and local governments. The search strategy followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines and was informed by a critical realist approach that identifies necessary, contingent and contextual factors in the literature. MEDLINE, Scopus, Web of Science, and ProQuest Central databases were searched for studies published between January 2005 and July 2021. RESULTS: The search yielded 3472 studies, after deleting duplicates and initial title and abstract screening, 188 papers underwent full text review. Twenty-nine papers were included in the review. Key themes shaping partnerships included funding and resources; partnership qualities; governance and policy; and evaluation and measures of success. The functional, organisational and individual aspects of these themes are explored and presented in a framework. CONCLUSION: Given that local government are the closest level of government to community, this paper provides a sophisticated roadmap that can underpin partnerships between local government and health agencies aiming to influence population health outcomes. By identifying key themes across contexts, we provide a framework that may assist in designing and evaluating evidence-informed health and local government partnerships.

In Commemoration of Dr. Mostafa Pourtaghva Shahrestani, a Pioneer in Infectious Disease Research.

It is important to honor the contributions of scientific leaders who have dedicated their lives to advancing knowledge and serving their country. One way is to document their experiences and personalities in a documentary format, which can serve as a historical record and an inspiration for future generations. Dr. Mostafa Pourtaghva Shahrestani, a renowned physician and specialist in infectious diseases and tropical medicine, has made significant contributions to public health in Iran. He has played a crucial role in controlling infectious diseases such as smallpox, tuberculosis, rabies, plague, and cholera. Throughout his career, he has held various executive positions, including the head of Pasteur Hospital and the director of the Pasteur Institute of Iran. Dr. Pourtaghva's life is a testament to his unwavering dedication to public health services, as evidenced by his continuous effort, love, and interest in honest work. His inspiring story can serve as a model for those who seek to follow in his footsteps.