Percepções e ações da equipe multiprofissional em saúde sobre a medicina tradicional indígena / Perceptions and actions of the multi-professional health team on traditional indigenous medicine / Percepciones y acciones del equipo multidisciplinario de salud sobre la medicina tradicional indígena

Objetivo: compreender as percepções e as ações de uma equipe multiprofissional em saúde quanto à prática da medicina tradicional indígena em uma Casa de Atenção à Saúde Indígena. Método: estudo qualitativo descritivo, realizado em uma de Casa de Apoio à Saúde Indígena em um município do Pará, que incluiu oito profissionais de uma equipe multiprofissional. A coleta de dados foi realizada no ano de 2018 e estes foram examinados pelo método da análise de conteúdo. Resultados: inserção e prática do cristianismo; ritos e lideranças xamânicas; e postura da equipe de multidisciplinar foram as categorias elencadas, que apontam os entendimentos e atuações da equipe multiprofissional e da organização espacial da Casa de Saúde do município. Considerações finais: há novos costumes e valores entre as etnias, em virtude da aproximação de grupos religiosos, cujas ações foram registradas e apreendidas pela equipe de trabalhadores em saúde.

Objective: understanding the perceptions and actions of a multi-professional health team regarding the practice of traditional indigenous medicine in an Indigenous Health Care Center. Method: this is a descriptive qualitative study carried out in an Indigenous Health Support Center in a municipality in the state of Pará, which included eight professionals from a multi-professional team. Data was collected in 2018 and examined using the content analysis method. Results: insertion and practice of Christianity; shamanic rites and leadership; and the attitude of the multidisciplinary team were the categories listed, which point to the understandings and actions of the multi-professional team and the spatial organization of the Health Center in the municipality. Final considerations: there are new customs and values among ethnic groups, due to the approach of religious groups, whose actions were recorded and apprehended by the team of health workers.

Objetivo: comprender las percepciones y acciones de un equipo multidisciplinario de salud sobre la práctica de la medicina tradicional indígena en una Casa de Atención para la Salud Indígena. Método: estudio descriptivo cualitativo, realizado en una Casa de Apoyo a la Salud Indígena de un municipio de Pará, que incluyó ocho profesionales de un equipo multidisciplinario. La recolección de datos se realizó en 2018 y los datos fueron sometidos al método de análisis de contenido. Resultados: inserción y práctica del cristianismo; ritos y líderes chamánicos; y actitud del equipo multidisciplinario fueron las categorías enumeradas, que indican la percepción y las acciones del equipo multidisciplinario y la organización espacial de la Casa de Salud del municipio. Consideraciones finales: existen nuevas costumbres y valores entre las etnias, debido a la presencia de grupos religiosos, el equipo de los trabajadores de la salud registró y aprendió las acciones de los indígenas.

Outpatient-Based Opioid Treatment Engagement and Attendance: A Prospective Cohort Study of Homeless-Experienced Adults.

BACKGROUND: The opioid overdose epidemic disproportionately impacts people experiencing homelessness. Outpatient-based opioid treatment (OBOT) programs have been established in homeless health care settings across the USA, but little is known about the success of these programs in engaging and retaining this highly marginalized patient population in addiction care. OBJECTIVE: To evaluate predictors of initial engagement and subsequent attendance in a homeless-tailored OBOT program. DESIGN: Prospective cohort study with 4 months of follow-up. PARTICIPANTS: A total of 148 homeless-experienced adults (≥18 years) who newly enrolled in the Boston Healthcare for the Homeless Program (BHCHP) OBOT program over a 1-year period (1/6/2022-1/5/2023). MAIN MEASURES: The primary outcomes were (1) initial OBOT program engagement, defined as having ≥2 additional OBOT visits within 1 month of OBOT enrollment, and (2) subsequent OBOT program attendance, measured monthly from months 2 to 4 of follow-up. KEY RESULTS: The average age was 41.7 years (SD 10.2); 23.6% were female, 35.8% were Hispanic, 12.8% were non-Hispanic Black, and 43.9% were non-Hispanic White. Over one-half (57.4%) were initially engaged. OBOT program attendances during months 2, 3, and 4 were 60.8%, 50.0%, and 41.2%, respectively. One-quarter (24.3%) were initially engaged and then attended the OBOT program every month during the follow-up period. Participants in housing or residential treatment programs (vs. unhoused; adjusted odds ratios (aORs) = 2.52; 95% CI = 1.17-5.44) and those who were already on or initiated a medication for opioid use disorder (OUD) (aOR = 6.53; 95% CI = 1.62-26.25) at the time of OBOT enrollment had higher odds of engagement. Older age (aOR = 1.74 per 10-year increment; 95% CI = 1.28-2.38) and initial engagement (aOR = 3.50; 95% CI = 1.86-6.59) conferred higher odds of attendance. CONCLUSIONS: In this study, over half initially engaged with the OBOT program, with initial engagement emerging as a strong predictor of subsequent OBOT program attendance. Interventions aimed at enhancing initial OBOT program engagement, including those focused on housing and buprenorphine initiation, may improve longer-term outcomes in this marginalized population.

Lived experience, social support, and challenges to health service use during the COVID-19 pandemic among HIV key populations in Indonesia.

The COVID-19 pandemic has greatly affected the lives, health, and social well-being of people globally including presenting special challenges in low to middle income countries for people living with HIV. This study investigates the pandemic experiences of the four key HIV-positive populations in Indonesia: men who have sex with men, transgender women, female sex workers, and people who use drugs. In-depth interviews were conducted with a convenience sample of 22 key population members recruited through 9 nongovernment HIV agencies in Jakarta and Bali, Indonesia. Indonesia's Large-scale Social Restrictions Policy mandating physical distancing and stay-at-home orders had been in effect for 7-10 months at the time of the interviews. The interviews were audio-recorded, transcribed, and coded using NVivo™ (R1.7) software. A grounded theory approach identified key concepts along with similarities, differences, and reoccurring patterns of COVID-19 lived experience among participants. Participants recounted the impact of both the pandemic and the Restriction Policy on their interpersonal, financial, medical, and psychosocial well-being. When in need, they turned to formal and informal sources of financial and social support plus their own resourcefulness. Along with other factors, HIV medication shortages, HIV and COVID-19 related stigma, and fear of acquiring COVID-19 negatively impacted their antiretroviral adherence and the use of health services. The results point to the latent consequences of government attempts to curb a pandemic through public health lockdowns and enforced policies of physical separation. Its findings reveal the importance of ensuring that public safety nets for HIV key populations are available to supplement more informal personal sources of needed support.

Precision enhancement in variance estimation for complex environmental populations using adaptive cluster sampling.

Estimating dispersion in populations that are extremely rare, hidden, geographically clustered, and hard to access is a well-known challenge. Conventional sampling approaches tend to overestimate the variance, even though it should be genuinely reduced. In this environment, adaptive cluster sampling is considered to be the most efficient sampling technique as it provides generally a lower variance than the other conventional probability sampling designs for the assessment of rare and geographically gathered population parameters like mean, total, variance, etc. The use of auxiliary data is very common to obtain the precise estimates of the estimators by taking advantage of the correlation between the survey variable and the auxiliary data. In this article, we introduced a generalized estimator for estimating the variance of populations that are rare, hidden, geographically clustered and hard-to-reached. The proposed estimator leverages both actual and transformed auxiliary data through adaptive cluster sampling. The expressions of approximate bias and mean square error of the proposed estimator are derived up to the first-order approximation using Taylor expansion. Some special cases are also obtained using the known parameters associated with the auxiliary variable. The proposed class of estimators is compared with available estimators using simulation and real data applications.

Treatment of unresectable stage III non-small cell lung cancer for patients who are under-represented in clinical trials.

Concurrent chemoradiotherapy (cCRT) followed by one year of consolidation durvalumab is the current standard-of-care for patients with unresectable stage III non-small cell lung cancer (NSCLC), of good functional status. However, cCRT and consolidation durvalumab may be challenging to administer for selected patient populations underrepresented or even excluded in clinical trials: older and/or frail patients; those with cardiovascular or respiratory comorbidities in which treatment-related adverse events may be higher, and patients with pre-existing autoimmune disorders for whom immunotherapy use is controversial. In this narrative review, we discuss the current evidence, challenges, ongoing clinical trials and potential future treatment scenarios in relevant subgroups of patients with locally advanced NSCLC, who are underrepresented in clinical trials.

Population-scale variability of the human UDP-glycosyltransferase gene family.

Human UDP-glycosyltransferases (UGTs) are responsible for the glucuronidation of a wide variety of endogenous substrates and multiple commonly prescribed drugs. Different genetic polymorphisms in UGT genes are implicated in interindividual differences in drug response and cancer risk. However, the genetic complexity beyond these variants has not been comprehensively assessed. We here leveraged whole-exome and whole-genome sequencing data from 141,456 unrelated individuals across seven major human populations to provide a comprehensive profile of genetic variability across the human UGT gene family. Overall, 9666 exonic variants were observed of which 98.9% were rare. To interpret the functional impact of UGT missense variants, we developed a gene family-specific variant effect predictor. This algorithm identified a total of 1208 deleterious variants, most of which were found in African and South Asian populations. Structural analysis corroborated the predicted effects for multiple variations in substrate binding sites. Combined, our analyses provide a systematic overview of UGT variability, which can yield insights into inter-individual differences in phase 2 metabolism and facilitate the translation of sequencing data into personalized predictions of UGT substrate disposition.

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Objective: To establish a universally applicable logistic risk prediction model for diabetes mellitus type 2 (T2DM) in the middle-aged and elderly populations based on the results of a Meta-analysis, and to validate and confirm the efficacy of the model using the follow-up data of medical check-ups of National Basic Public Health Service. Methods: Cohort studies evaluating T2DM risks were identified in Chinese and English databases. The logistic model utilized Meta-combined effect values such as the odds ratio (OR) to derive ß, the partial regression coefficient, of the logistic model. The Meta-combined incidence rate of T2DM was used to obtain the parameter α of the logistic model. Validation of the predictive performance of the model was conducted with the follow-up data of medical checkups of National Basic Public Health Service. The follow-up data came from a community health center in Chengdu and were collected between 2017 and 2022 from 7602 individuals who did not have T2DM at their baseline medical checkups done at the community health center. This community health center was located in an urban-rural fringe area with a large population of middle-aged and elderly people. Results: A total of 40 cohort studies were included and 10 items covered in the medical checkups of National Basic Public Health Service were identified in the Meta-analysis as statistically significant risk factors for T2DM, including age, central obesity, smoking, physical inactivity, impaired fasting glucose, a reduced level of high-density lipoprotein cholesterol (HDL-C), hypertension, body mass index (BMI), triglyceride glucose (TYG) index, and a family history of diabetes, with the OR values and 95% confidence interval (CI) being 1.04 (1.03, 1.05), 1.55 (1.29, 1.88), 1.36 (1.11, 1.66), 1.26 (1.07, 1.49), 3.93 (2.94, 5.24), 1.14 (1.06, 1.23), 1.47 (1.34, 1.61), 1.11 (1.05, 1.18), 2.15 (1.75, 2.62), and 1.66 (1.55, 1.78), respectively, and the combined ß values being 0.039, 0.438, 0.307, 0.231, 1.369, 0.131, 0.385, 0.104, 0.765, and 0.507, respectively. A total of 37 studies reported the incidence rate, with the combined incidence being 0.08 (0.07, 0.09) and the parameter α being -2.442 for the logistic model. The logistic risk prediction model constructed based on Meta-analysis was externally validated with the data of 7602 individuals who had medical checkups and were followed up for at least once. External validation results showed that the predictive model had an area under curve (AUC) of 0.794 (0.771, 0.816), accuracy of 74.5%, sensitivity of 71.0%, and specificity of 74.7% in the 7602 individuals. Conclusion: The T2DM risk prediction model based on Meta-analysis has good predictive performance and can be used as a practical tool for T2DM risk prediction in middle-aged and elderly populations.

Mapping the institutionalization of racism in the research about race and traumatic brain injury rehabilitation: implications for Black populations.

PURPOSE: Traumatic brain injury (TBI) is a chronic disease process and a public health concern that disproportionately impacts Black populations. While there is an abundance of literature on race and TBI outcomes, there is a lack of scholarship that addresses racism within rehabilitation care, and it remains untheorized. This article aims to illuminate how racism becomes institutionalized in the scientific scholarship that can potentially inform rehabilitation care for persons with TBI and what the implications are, particularly for Black populations. MATERIAL AND METHODS: Applying Bacchi's What's the Problem Represented to be approach, the writings of critical race theory (CRT) are used to examine the research about race and TBI rehabilitation comparable to CRT in other disciplines, including education and legal scholarship. RESULTS: A CRT examination illustrates that racism is institutionalized in the research about race and TBI rehabilitation through colourblind ideologies, meritocracy, reinforcement of a deficit perspective, and intersections of race and the property functions of whiteness. A conceptual framework for understanding institutional racism in TBI rehabilitation scholarship is presented. CONCLUSIONS: The findings from this article speak to the future of TBI rehabilitation research for Black populations, the potential for an anti-racist agenda, and implications for research and practice.

Critical race theory contributes to a comprehensive understanding of racism in the literature about race and traumatic brain injury (TBI) rehabilitation by asking how racism operates in the scholarship, including methods, analyses, interpretations, and conclusions.Applying a critical race theory lens in TBI rehabilitation has the potential to inform antiracist scholarship that holds important implications for critical rehabilitation research, practice, professional training, and policy.Implications for rehabilitation practice include opening up opportunities to address how race and racism shape rehabilitation outcomes to imagine different possibilities, programs, and futures for Black people with TBI with various communities of practice.

Healthcare workers' perspectives on a prescription phone program to meet the health equity needs of patients in the emergency department: a qualitative study.

OBJECTIVES: People experiencing homelessness and marginalization face considerable barriers to accessing healthcare services. Increased reliance on technology within healthcare has exacerbated these inequities. We evaluated a hospital-based prescription phone program aimed to reduce digital health inequities and improve access to services among marginalized patients in Emergency Departments. We examined the perceived outcomes of the program and the contextual barriers and facilitators affecting outcomes. METHODS: We conducted a constructivist qualitative program evaluation at two urban, academic hospitals in Toronto, Ontario. We interviewed 12 healthcare workers about their perspectives on program implementation and outcomes and analyzed the interview data using reflexive thematic analysis. RESULTS: Our analyses generated five interrelated program outcomes: building trust with patients, facilitating independence in healthcare, bridging sectors of care, enabling equitable care for marginalized populations, and mitigating moral distress among healthcare workers. Participants expressed that phone provision is critical for adequately serving patients who face barriers to accessing health and social services, and for supporting healthcare workers who often lack resources to adequately serve these patients. We identified key contextual enablers and challenges that may influence program outcomes and future implementation efforts. CONCLUSIONS: Our findings suggest that providing phones to marginalized patient populations may address digital and social health inequities; however, building trusting relationships with patients, understanding the unique needs of these populations, and operating within a biopsychosocial model of health are key to program success.

ABSTRAIT: OBJECTIFS: Les personnes sans abri et marginalisées font face à des obstacles considérables pour accéder aux services de santé. Le recours accru à la technologie dans les soins de santé a exacerbé ces inégalités. Nous avons évalué un programme de téléphones d'ordonnance en milieu hospitalier visant à réduire les inégalités en santé numérique et à améliorer l'accès aux services chez les patients marginalisés des services d'urgence. Nous avons examiné les résultats perçus du programme et les obstacles contextuels et facilitateurs qui influent sur les résultats. MéTHODES: Nous avons mené une évaluation qualitative constructiviste de programmes dans deux hôpitaux universitaires urbains de Toronto, en Ontario. Nous avons interviewé 12 travailleurs de la santé au sujet de leurs points de vue sur la mise en œuvre et les résultats du programme et analysé les données des entrevues au moyen d'une analyse thématique réflexive. RéSULTATS: Nos analyses ont généré cinq résultats de programme interdépendants : établir la confiance avec les patients, faciliter l'indépendance dans les soins de santé, rapprocher les secteurs de soins, permettre des soins équitables pour les populations marginalisées et atténuer la détresse morale chez les travailleurs de la santé. Les participants ont indiqué que la fourniture de services téléphoniques est essentielle pour servir adéquatement les patients qui font face à des obstacles à l'accès aux services de santé et aux services sociaux, et pour soutenir les travailleurs de la santé qui manquent souvent de ressources pour servir adéquatement ces patients. Nous avons cerné les principaux catalyseurs contextuels et les défis qui pourraient influer sur les résultats du programme et les efforts de mise en œuvre futurs. CONCLUSION: Nos résultats suggèrent que la fourniture de téléphones aux populations de patients marginalisés peut remédier aux inégalités numériques et sociales en matière de santé; cependant, établir des relations de confiance avec les patients, comprendre les besoins uniques de ces populations, La réussite du programme repose sur le fait de fonctionner dans un modèle biopsychosocial de la santé.

Multinational evaluation of genetic diversity indicators for the Kunming-Montreal Global Biodiversity Framework.

Under the recently adopted Kunming-Montreal Global Biodiversity Framework, 196 Parties committed to reporting the status of genetic diversity for all species. To facilitate reporting, three genetic diversity indicators were developed, two of which focus on processes contributing to genetic diversity conservation: maintaining genetically distinct populations and ensuring populations are large enough to maintain genetic diversity. The major advantage of these indicators is that they can be estimated with or without DNA-based data. However, demonstrating their feasibility requires addressing the methodological challenges of using data gathered from diverse sources, across diverse taxonomic groups, and for countries of varying socio-economic status and biodiversity levels. Here, we assess the genetic indicators for 919 taxa, representing 5271 populations across nine countries, including megadiverse countries and developing economies. Eighty-three percent of the taxa assessed had data available to calculate at least one indicator. Our results show that although the majority of species maintain most populations, 58% of species have populations too small to maintain genetic diversity. Moreover, genetic indicator values suggest that IUCN Red List status and other initiatives fail to assess genetic status, highlighting the critical importance of genetic indicators.

The effectiveness of the in-person and online Gottman Seven Principles Couple Enhancement Program: A propensity score matching design.

This study investigates the effectiveness of the 12-h Gottman Seven Principles couple enhancement program delivered in person and online. In Norway, we recruited 490 participants and 242 people for a control group. All were in close relationships. The revised dyadic adjustment scale (RDAS) was used to assess the quality of their relationships before and after program participation, and at 6-month follow-up. Repeated measures ANOVA, t tests, reliable change, and multilevel multiple regression using propensity score matching to control for confounders were used to investigate the effectiveness of the course. The results demonstrate that the Gottman Seven Principles course improves couple relationships and is equally effective whether delivered in person or online. Furthermore, it does not matter whether there are therapists with a clinical background delivering the course, suggesting that the material itself is sufficient.

Combating COVID-19 health disparities in Black, Indigenous, and People of Colour Communities-A call for critical systems thinking.

RATIONALE: The Black, Indigenous, and People of Colour populations in the United States are disproportionately affected by the emerging health threat SARS-CoV-2, which causes COVID-19. AIMS AND OBJECTIVES: This paper aims to demonstrate the usefulness of critical systems thinking by using scenario planning based on epidemiological data and tying epidemiology with soft systems methodology to investigate COVID-19 disparities among disproportionately affected Black, Indigenous, and People of Colour populations. METHODS: Using a review of the COVID-19 literature and publicly available US COVID-19 data, critical systems thinking is applied in a scenario planning example and a call to link soft systems methodology with epidemiology. RESULTS: According to the four plausible Endgame scenarios, levels of community transmission as well as the current state transmission are based on the driving forces of the scenarios. In addition, soft systems methodology explores the effect on stakeholders and strengthens the picture of disease burden beyond sole reliance on traditional data sources. CONCLUSION: This analysis underscores employing critical systems thinking to critically assess diverse methods appropriate for the ongoing complexity of global crises. It is argued that critically engaged subjectivity should be given space alongside data-dependent objectivity. COVID-19 disparities are reliant on the social determinants of health's effects as driving forces on disease transmission in Black, Indigenous, and People of Colour populations. It is moreover argued that critical systems thinking is demonstrated by linking epidemiological evidence with scenario planning and soft systems methodology. This in turn supports a critical systems thinking approach to uncover the state of health disparities among minoritized communities under COVID-19.

Understanding Practical, Robust Implementation and Sustainability of Home-based Comprehensive Sexual Health Care: A Realist Review.

This review identifies which elements of home-based comprehensive sexual health care (home-based CSH) impacted which key populations, under which circumstances. A realist review of studies focused on home-based CSH with at least self-sampling or self-testing HIV and additional sexual health care (e.g., treatment, counseling). Peer-reviewed quantitative and qualitative literature from PubMed, Embase, Cochrane Register of Controlled Trials, and PsycINFO published between February 2012 and February 2023 was examined. The PRISM framework was used to systematically assess the reach of key populations, effectiveness of the intervention, and effects on the adoption, implementation, and maintenance within routine sexual health care. Of 730 uniquely identified records, 93 were selected for extraction. Of these studies, 60% reported actual interventions and 40% described the acceptability and feasibility. Studies were mainly based in Europe or North America and were mostly targeted to MSM (59%; 55/93) (R). Overall, self-sampling or self-testing was highly acceptable across key populations. The effectiveness of most studies was (expected) increased HIV testing. Adoption of the home-based CSH was acceptable for care providers if linkage to care was available, even though a minority of studies reported adoption by care providers and implementation fidelity of the intervention. Most studies suggested maintenance of home-based CSH complementary to clinic-based care. Context and mechanisms were identified which may enhance implementation and maintenance of home-based CSH. When providing the individual with a choice of testing, clear instructions, and tailored dissemination successful uptake of STI and HIV testing may increase. For implementers perceived care and treatment benefits for clients may increase their willingness to implement home-based CSH. Therefore, home-based CSH may determine more accessible sexual health care and increased uptake of STI and HIV testing among key populations.

Age over sex: evaluating gut microbiota differences in healthy Chinese populations.

Age and gender have been recognized as two pivotal covariates affecting the composition of the gut microbiota. However, their mediated variations in microbiota seem to be inconsistent across different countries and races. In this study, 613 individuals, whom we referred to as the "healthy" population, were selected from 1,018 volunteers through rigorous selection using 16S rRNA sequencing. Three enterotypes were identified, namely, Escherichia-Shigella, mixture (Bacteroides and Faecalibacterium), and Prevotella. Moreover, 11 covariates that explain the differences in microbiota were determined, with age being the predominant factor. Furthermore, age-related differences in alpha diversity, beta diversity, and core genera were observed in our cohort. Remarkably, after adjusting for 10 covariates other than age, abundant genera that differed between age groups were demonstrated. In contrast, minimal differences in alpha diversity, beta diversity, and differentially abundant genera were observed between male and female individuals. Furthermore, we also demonstrated the age trajectories of several well-known beneficial genera, lipopolysaccharide (LPS)-producing genera, and short-chain fatty acids (SCFAs)-producing genera. Overall, our study further elucidated the effects mediated by age and gender on microbiota differences, which are of significant importance for a comprehensive understanding of the gut microbiome spectrum in healthy individuals.

Investigating the effectiveness of web-based HIV self-test distribution and linkage to HIV treatment and PrEP among groups at elevated risk of HIV in Viet Nam provinces: a mixed-methods analysis of implementation from pilot to scale-up.

INTRODUCTION: In Viet Nam, key populations (KPs) face barriers accessing HIV services. Virtual platforms can be leveraged to increase access for KPs, including for HIV self-testing (HIVST). This study compares reach and effectiveness of a web-based HIVST intervention from pilot to scale-up in Viet Nam. METHODS: A mixed-methods explanatory sequential design used cross-sectional and thematic analysis. The pilot launched in Can Tho in November 2020, followed by Hanoi and Nghe An in April 2021. Scale-up included Can Tho and Nghe An, with 21 novel provinces from April to December 2022. After risk assessment, participants registered on the website, receiving HIVST (OraQuick®) by courier, peer educator or self-pick-up. Test result reporting and completing satisfaction surveys were encouraged. Intervention reach was measured through numbers accessing the testing, disaggregated by demographics, and proportion of individuals reporting self-testing post-registration. Effectiveness was measured through numbers reporting self-test results, testing positive and linking to care, and testing negative and using HIVST to manage pre-exposure prophylaxis (PrEP) use. Thematic content analysis of free-text responses from the satisfaction survey synthesized quantitative outcomes. RESULTS: In total, 17,589 participants registered on the HIVST website; 11,332 individuals ordered 13,334 tests. Participants were generally young, aged <25 years (4309/11,332, 38.0%), male (9418/11,332, 83.1%) and men who have sex with men (6437/11,332, 56.8%). Nearly half were first-time testers (5069/11,332, 44.9%). Scale-up participants were two times more likely to be assigned female at birth (scale-up; 1595/8436, 18.9% compared to pilot; 392/3727, 10.5%, p < 0.001). Fewer test results were reported in scale-up compared with pilot (pilot: 3129/4140, 75.6%, scale-up: 5811/9194, 63.2%, p < 0.001). 6.3% of all tests were reactive (pilot: 176/3129, 5.6% reactive compared to scale-up: 385/5811, 6.6% reactive, p = 0.063); of which most linked to care (509/522, 97.5%). One-fifth of participants with a negative test initiated or continued PrEP (pilot; 19.8%, scale-up; 18.5%, p = 0.124). Thematic analysis suggested that community delivery models increased programmatic reach. Live chat may also be a suitable proxy for staff support to increase result reporting. CONCLUSIONS: Web-based self-testing in Viet Nam reached people at elevated risk of HIV, facilitating uptake of anti-retroviral treatment and direct linkage to PrEP initiations. Further innovations such as the use of social-network testing services and incorporating features powered by artificial intelligence could increase the effectiveness and efficiency of the approach.

Predicting emergent animal biodiversity patterns across multiple scales.

Restoring biodiversity-based resilience and ecosystem multi-functionality needs to be informed by more accurate predictions of animal biodiversity responses to environmental change. Ecological models make a substantial contribution to this understanding, especially when they encode the biological mechanisms and processes that give rise to emergent patterns (population, community, ecosystem properties and dynamics). Here, a distinction between 'mechanistic' and 'process-based' ecological models is established to review existing approaches. Mechanistic and process-based ecological models have made key advances to understanding the structure, function and dynamics of animal biodiversity, but are typically designed to account for specific levels of biological organisation and spatiotemporal scales. Cross-scale ecological models, which predict emergent co-occurring biodiversity patterns at interacting scales of space, time and biological organisation, is a critical next step in predictive ecology. A way forward is to first capitalise on existing models to systematically evaluate the ability of scale-explicit mechanisms and processes to predict emergent patterns at alternative scales. Such model intercomparisons will reveal mechanism to process transitions across fine to broad scales, overcome approach-specific barriers to model realism or tractability and identify gaps which necessitate the development of new fundamental principles. Key challenges surrounding model complexity and uncertainty would need to be addressed, and while opportunities from big data can streamline the integration of multiple scale-explicit biodiversity patterns, ambitious cross-scale field studies are also needed. Crucially, overcoming cross-scale ecological modelling challenges would unite disparate fields of ecology with the common goal of improving the evidence-base to safeguard biodiversity and ecosystems under novel environmental change.

Validating self-reported Toxic Release Inventory data using Benford's Law: investigating toxic chemical release hazards in floodplains.

Introduction: Acute and long-term health impacts from flooding related toxic chemical releases are a significant local health concern and can disproportionately impact communities with vulnerable populations; reliable release data are needed to quantify this hazard. Methods: In this paper, we analyze US Federal Emergency Management Agency designated floodplain data and US Environmental Protection Agency Toxic Release Inventory (TRI) data to determine if geographically manipulated databases adhere to Benford's Law. Results: We investigated multiple variants and discovered pollution releases adhere to Benford's Law and tests which thereby validates the self-reported toxic release dataset. Discussion: We find that Benford's Law applies to self-reported toxic chemical release and disposal data, indicating a lack of widespread data errors or manipulation.

Association between ultraprocessed food consumption and excess adiposity in children and adolescents: A systematic review.

Ultraprocessed foods (UPF) consumption is associated with excess adiposity in adults, but this linkage remains unclear among children and adolescents. The present systematic review sought to address this research gap. Publications up to November 2023 were retrieved from PubMed, Web of Science, and Scopus databases. Outcomes included overweight/obesity anthropometric and body composition indicators; the exposure was UPF consumption based on the NOVA classification system. The review included 23 studies (i.e., 8 cohort and 15 cross-sectional); approximately half were carried out in Brazil. Inconclusive and heterogeneous evidence exists as few cohort studies found positive/mixed associations between UPF consumption and excess adiposity in pediatric populations, whereas most cross-sectional studies reported null associations. Such inconsistencies may be attributed to underlying methodological issues, especially heterogeneity in the outcomes assessed and UPF consumption operationalization and/or categorization. Future studies should adopt longitudinal designs with sufficiently extended follow-up periods, account for relevant confounding factors, employ validated and standardized measurement tools to assess dietary exposure, ensure consistent operationalization of variables, and encompass diverse geographic contexts. Ultimately, strengthening the quality of existing research evidence may better inform current and forthcoming policy and practice interventions aimed at mitigating the increasing prevalence of overweight/obesity in childhood and across the life course.

Using community-based participatory research methods to build the foundation for an equitable integrated health data system within a Canadian urban context.

Health inequalities amplified by the COVID-19 pandemic have disproportionately affected racialized and equity-deserving communities across Canada. In the Municipality of Peel, existing data, while limited, illustrates that individuals from racialized and equity-deserving communities continue to suffer, receive delayed care, and die prematurely. In response to these troubling statistics, grassroots community advocacy has called on health systems leaders in Peel to work with community and non-profit organizations to address the critical data and infrastructure gaps that hinder addressing the social determinants of health in the region. To support these advocacy efforts, we used a community-based participatory research approach to understand how we might build a data collection ecosystem across sectors, alongside community residents and service providers, to accurately capture the data about the social determinants of health. This approach involved developing a community engagement council, defining the problem with the community, mapping what data is actively collected and what is excluded, and understanding experiences of sociodemographic data collection from community members and service providers. Guided by community voices, our study focused on sociodemographic data collection in the primary care context and identified which service providers use and collect these data, how data are used in their work, the facilitators and barriers to data use and collection. Additionally, we gained insight into how sociodemographic data collection could be respectful, safe, and properly governed from the perspectives of community members. From this study, we identify a set of eight recommendations for sociodemographic data collection and highlight limitations. This foundational community-based work will inform future research in establishing data governance in partnership with diverse and equity-deserving communities.

Legal requirements for reporting clinical cases to the South African police or social services.

Medical confidentiality is the cornerstone for a trustful relationship between patients and the health professionals attending to them. However, when history or clinical findings suggest certain offenses, statutory laws (Children's Act, Older Persons Act, Mental Health Care Act, Sexual Offenses Act) establish a legal obligation for health professionals to report suspected instances of abuse to the police or alternatively, in some cases, to a designated social worker. Given the high rate of domestic violence and abuse in South Africa, health professionals are most likely to encounter such situations. Many clinicians are oblivious of the obligations, exposing themselves to possible liability and their patients to potential additional harm. This article aims to demonstrate the reporting requirements under the respective acts through case scenarios. Finally, the advantages and disadvantages of the existing legal setting are discussed briefly.