BACKGROUND: Asthma is a leading cause of children\'s hospitalizations, emergency department visits, and missed school days. Our school-based asthma intervention has reduced asthma exacerbations for children experiencing health disparities in the Denver Metropolitan Area, due partly to addressing care coordination for asthma and social determinants of health (SDOH), such as access to healthcare and medications. Limited dissemination of school-based asthma programs has occurred in other metropolitan and rural areas of Colorado. We formed and engaged community advisory boards in socioeconomically diverse regions of Colorado to develop two implementation strategy packages for delivering our school-based asthma intervention - now termed \"Better Asthma Control for Kids (BACK)\" - with tailoring to regional priorities, needs and resources.
METHODS: In this proposed type 2 hybrid implementation-effectiveness trial, where the primary goal is equitable reach to families to reduce asthma disparities, we will compare two different packages of implementation strategies to deliver BACK across four Colorado regions. The two implementation packages to be compared are: 1) standard set of implementation strategies including Tailor and Adapt to context, Facilitation and Training termed, BACK-Standard (BACK-S); 2) BACK-S plus an enhanced implementation strategy, that incorporates network weaving with community partners and consumer engagement with school families, termed BACK-Enhanced (BACK-E). Our evaluation will be guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, including its Pragmatic Robust Implementation Sustainability Model (PRISM) determinants of implementation outcomes. Our central hypothesis is that our BACK-E implementation strategy will have significantly greater reach to eligible children/families than BACK-S (primary outcome) and that both BACK-E and BACK-S groups will have significantly reduced asthma exacerbation rates (\"attacks\") and improved asthma control as compared to usual care.
CONCLUSIONS: We expect both the BACK-S and BACK-E strategy packages will accelerate dissemination of our BACK program across the state - the comparative impact of BACK-S vs. BACK-E on reach and other RE-AIM outcomes may inform strategy selection for scaling BACK and other effective school-based programs to address chronic illness disparities.
BACKGROUND: Clinicaltrials.gov identifier: NCT06003569, registered on August 22, 2023, https://classic.
RESULTS: gov/ct2/show/NCT06003569 .

BACKGROUND: Malaria is a serious, fatal disease, and a high-risk determinant for human health globally. Children, pregnant women, and migrants are vulnerable groups for malaria infection in African regions. Recently, malaria is an endemic disease in Ethiopia.
OBJECTIVE: This study aimed to determine the pooled prevalence of malaria and its determinant factors among the most vulnerable populations in Ethiopia.
METHODS: Electronic databases, including PubMed, Google Scholar, Web of Science, Semantic Scholar, and Scopus were used for searching articles published since the 2020 Gregorian calendar and onwards. All peer-reviewed Ethiopian journals, health institutions, and Universities were considered for article searching. A PRISMA flow chart and Endnote software were used for article screening, and to remove duplications, respectively. The modified version of the Newcastle-Ottawa Scale was used for potential risk of bias assessments. The heterogeneity among the included studies was evaluated using the indicator of heterogeneity (I2). Egger\'s test and funnel plot were used to examine the possible publication bias. A random-effects analysis was used to assess the pooled prevalence of malaria, and its determinant factors with a 95% CI. The screening process, data extraction, and quality assessment were done independently, and any disagreements were resolved through discussions.
RESULTS: A total of twelve studies were included in this study. The pooled malaria prevalence was 11.10% (95% CI: 6.10, 16.11). Stagnant water (AOR: 4.19, 95% CI: 2.47, 7.11), no insecticide-treated net utilization (AOR: 3.15, 95% CI: 1.73, 5.73), and staying outdoors at night (AOR: 5.19, 95% CI: 2.08, 12.94) were the pooled estimated statistically risk factors for malaria prevalence. Whereas, insecticide-treated bed net utilization (AOR: 1.59, 95% CI: 0.23, 10.95) reduces the risk of malaria infection.
CONCLUSIONS: The pooled prevalence of malaria is high among vulnerable populations. Creating awareness regarding utilization of insecticide-treated bed nets, and draining stagnant water from the environment are possible interventions to reduce the prevalence of malaria.

OBJECTIVE: This retrospective cohort study explores the impact of the COVID-19 pandemic on pediatric trauma cases in Singapore\'s National University Hospital from January 2015 to July 2021. The pandemic prompted unprecedented measures, altering societal dynamics. The study hypothesizes a reduction in major trauma incidents during the pandemic period.
METHODS: This is a single-center retrospective study including all pediatric patients presenting with trauma-related ICD-9 codes, and an Injury Severity Score (ISS) greater than 8. Patients were stratified into two time periods: pre-pandemic (January 2015 to March 2020) and pandemic (April 2020 to July 2021) periods.
RESULTS: Out of 254 pediatric trauma cases, 201 occurred pre-pandemic, and 53 during the pandemic. While overall trauma incidence remained similar, the pandemic period saw a shift in injury patterns. Home-based falls increased, vehicular accidents decreased, while deliberate self-harm and caregiver abuse rose significantly. The incidence of serious trauma attributed to non-accidental injury increased during the pandemic.
CONCLUSIONS: The study reveals changing trauma patterns, emphasizing the importance of understanding societal impacts during pandemics. Notably cases of deliberate self-harm and caregiver abuse surged, echoing global concerns highlighted in other studies during the pandemic. The study underscores the need to preempt physical and psychological stressors in vulnerable populations during future pandemics.

BACKGROUND: Inclusion in public health research of young people from low-income households and those from minority ethnic groups remains low. It is recognised that there is a need to change the way in which research is conducted so that it becomes more inclusive. The aim of this work was to identify novel and innovative ways to maximise recruitment and inclusion of diverse participants when doing co-production within very short time frames for emergency responses.
METHODS: We conducted interviews with young people from low-income and minority ethnic backgrounds, and members or leaders of groups or organisations supporting or representing young people from underserved communities.
RESULTS: A total of 42 participants took part in an interview. This included 30 young people from low income or minority ethnic backgrounds and 12 community leaders/service providers. Of the 30 young people, 26 participants identified as female and 12 participants identified as being from a minority ethnic background. Participants discussed a number of interrelated barriers to research involvement and identified ways in which barriers may be reduced. Prejudice and discrimination experienced by young people from underserved communities has led to substantial mistrust of educational and governmental establishments. Rigid and unfamiliar research practices further limit the involvement of young people. Four themes were identified as ways of supporting involvement, including: making opportunities available for young people, adaptations to research governance, understanding and acknowledging challenges faced by young people, and ensuring reciprocal benefits.
CONCLUSIONS: This research explored barriers to engagement in rapid public health co-production. Working with communities to co-produce rapid recruitment and research procedures to suit the needs and the context in which young people live is necessary.

OBJECTIVE: Direct primary care (DPC) critics are concerned that the periodic fee precludes participation from vulnerable populations. The purpose is to describe the demographics and appointments of a, now closed, academic DPC clinic and determine whether there are differences in vulnerability between census tracts with and without any clinic patients.
METHODS: We linked geocoded data from the DPC\'s electronic health record with the social vulnerability index (SVI). To characterize users, we described their age, sex, language, membership, diagnoses, and appointments. Descriptive statistics included frequencies, proportions or medians, and interquartile ranges. To determine differences in SVI, we calculated a localized SVI percentile within Harris County. A t test assuming equal variances and Mann-Whitney U Tests were used to assess differences in SVI and all other census variables, respectively, between those tracts with and without any clinic patients.
RESULTS: We included 322 patients and 772 appointments. Patients were seen an average of 2.4 times and were predominantly female (58.4%). More than a third (37.3%) spoke Spanish. There was a mean of 3.68 ICD-10 codes per patient. Census tracts in which DPC patients lived had significantly higher SVI scores (ie, more vulnerable) than tracts where no DPC clinic patients resided (median, 0.60 vs 0.47, p-value < 0.05).
CONCLUSIONS: This academic DPC clinic cared for individuals living in vulnerable census tracts relative to those tracts without any clinic patients. The clinic, unfortunately, closed due to multiple obstacles. Nevertheless, this finding counters the perception that DPC clinics primarily draw from affluent neighborhoods.

Ethics standards reference the need for special consideration of vulnerable populations, such as pregnant women, incarcerated individuals, and minors. The concept of vulnerability is poorly conceptualized in the medical sciences where it originated, and its application to the social sciences is even more challenging. Social science researchers may unwittingly fail to appreciate preexisting vulnerabilities and indeed may be responsible for inducing new research-related vulnerability. In this paper, we present the first comprehensive coding of country-level vulnerability designations. Specifically, we coded all 355 official documents governing social/behavioral human subjects research for the 107 countries with such regulations and identified 68 distinct vulnerability categories. The data reveal substantial regional variation, overemphasis of categories derived from medical sciences, neglect of critical categories such as displacement, and likely heterogeneity within and across groups. The article provides a conceptual framework that shifts the problem away from static, enumerated categories toward emphasis on research-induced vulnerability. Based on our conceptualization and coding, we present a framework for assessing vulnerability and implementing appropriate protections.

The number of homeless people (HP) has been increasing in recent years. Government actions have been implemented to improve the living conditions for this population, especially those focused on health care. This study has as research question: What are the healthcare strategies of services and programs being offered to the homeless population in Brazil? Its objective is to analyze the health care strategies adopted by services and programs offered to the homeless population in Brazil. To achieve this purpose, a search was conducted in the Virtual Health Library (VHL), Latin American and Caribbean Literature in Health Sciences (Lilacs), and Scientific Electronic Library Online (SciELO) databases, resulting in 21 articles. The analysis revealed the scope and challenges of the health care networks, indicating drug use as the main reason for seeking the services, with the Street Clinics (CnaR, Consultório na Rua) being an important service capable of promoting the creation of links between the HP and other sectors. of health. The importance of networking and the complexity of population health care were recurring topics in the discussions, as they deal with actions aimed at vulnerable and stigmatized people, showing needs and singularities in the way of living in society.
A população em situação de rua (PSR) vem aumentando nos últimos anos. Ações governamentais são implementadas para melhorar as condições de vida dessa população, especialmente as voltadas à assistência à saúde. Este estudo tem como questão norteadora: quais são as estratégias de atenção à saúde dos serviços e programas voltados à população em situação de rua no Brasil? O objetivo é analisar quais são as estratégias de atenção à saúde adotadas pelos serviços e programas voltados à população em situação de rua no Brasil. Foi realizada uma revisão sistemática da literatura nas bases de dados Biblioteca Virtual em Saúde (BVS), Literatura Latino Americana e do Caribe em Ciências da Saúde (Lilacs) e Scientific Eletronic Library Online (SciELO), tendo como resultado 21 artigos. A análise revelou os alcances e desafios das redes de atenção à saúde, indicando o uso de drogas como principal motivo para busca dos serviços, sendo o Consultório na Rua (CnaR) um dispositivo importante, capaz de promover a criação de vínculos entre a PSR e os demais setores de saúde. A importância do trabalho em rede e a complexidade do cuidado com a saúde de populações foram temas recorrentes nas discussões, pois tratam de ações destinadas a pessoas vulnerabilizadas, estigmatizadas, apresentando necessidades e singularidades no modo de viver em sociedade.

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Populations undergoing extensive and rapid socio-economic transitions including historically disadvantaged communities face an increased risk of type-2 diabetes (T2D). In recent years, sedentary behavior and physical inactivity have been considered modifiable determinants when developing primary prevention programs to reduce T2D incidence. Reunion Island is a French overseas department with an increasing T2D population and a high level of socio-economic inequality. The objectives of our study were to identify the individual, social, and environmental factors associated with sedentary behavior and physical inactivity among the Reunion Island adult population, and to highlight these findings in order to propose T2D primary prevention strategies aiming at alleviating local social inequalities in health (SIH). In 2021, we conducted a population-based cross-sectional telephone survey using random sampling. Participants included adults over 15 years old living in ordinary accommodation on Reunion Island (n = 2,010). Using a sequential approach, multinomial logistic regression model (explaining 3 profiles of interest: sedentary/inactive, sedentary/active, non-sedentary/inactive), and sampling-design weighted estimates, we found that 53.9% [95% confidence interval: 51.1 to 56.7%] of participants had sedentary behavior and 20.1% [95% CI: 17.8 to 22.5%] were inactive. Abandoning physical activity due to the COVID-19 pandemic (p<0.001), final secondary school diploma or above (p = 0.005), student as professional status (p≤0.005) and living in fewer poor neighborhoods located far from city centers (p = 0.030) were four conditions independently associated with sedentary/inactive and/or sedentary/active profiles. Based on these findings, to help reduce SIH, we used a typology of actions based on the underlying theoretical interventions including four main action categories: strengthening individuals (using person-based strategies), strengthening communities, improving living and working conditions, and promoting health-based macro-policies. Our findings suggest several directions for reducing lifestyle risk factors and enhancing T2D primary prevention programs targeting psychosocial, behavioral, and structural exposures.

BACKGROUND: COVID-19 protective behaviors are key interventions advised by the World Health Organization (WHO) to prevent COVID-19 transmission. However, achieving compliance with this advice is often challenging, particularly among socially vulnerable groups.
OBJECTIVE: We developed a social vulnerability index (SVI) to predict individuals\' propensity to adhere to the WHO advice on protective behaviors against COVID-19 and identify changes in social vulnerability as Omicron evolved in African countries between January 2022 and August 2022 and Asia Pacific countries between August 2021 and June 2022.
METHODS: In African countries, baseline data were collected from 14 countries (n=15,375) during the first Omicron wave, and follow-up data were collected from 7 countries (n=7179) after the wave. In Asia Pacific countries, baseline data were collected from 14 countries (n=12,866) before the first Omicron wave, and follow-up data were collected from 9 countries (n=8737) after the wave. Countries\' socioeconomic and health profiles were retrieved from relevant databases. To construct the SVI for each of the 4 data sets, variables associated with COVID-19 protective behaviors were included in a factor analysis using polychoric correlation with varimax rotation. Influential factors were adjusted for cardinality, summed, and min-max normalized from 0 to 1 (most to least vulnerable). Scores for compliance with the WHO advice were calculated using individuals\' self-reported protective behaviors against COVID-19. Multiple linear regression analyses were used to assess the associations between the SVI and scores for compliance to WHO advice to validate the index.
RESULTS: In Africa, factors contributing to social vulnerability included literacy and media use, trust in health care workers and government, and country income and infrastructure. In Asia Pacific, social vulnerability was determined by literacy, country income and infrastructure, and population density. The index was associated with compliance with the WHO advice in both time points in African countries but only during the follow-up period in Asia Pacific countries. At baseline, the index values in African countries ranged from 0.00 to 0.31 in 13 countries, with 1 country having an index value of 1.00. The index values in Asia Pacific countries ranged from 0.00 to 0.23 in 12 countries, with 2 countries having index values of 0.79 and 1.00. During the follow-up phase, the index values decreased in 6 of 7 African countries and the 2 most vulnerable Asia Pacific countries. The index values of the least vulnerable countries remained unchanged in both regions.
CONCLUSIONS: In both regions, significant inequalities in social vulnerability to compliance with WHO advice were observed at baseline, and the gaps became larger after the first Omicron wave. Understanding the dimensions that influence social vulnerability to protective behaviors against COVID-19 may underpin targeted interventions to enhance compliance with WHO recommendations and mitigate the impact of future pandemics among vulnerable groups.