Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE2AT Center study protocol.

INTRODUCTION: African cities, particularly Abidjan and Johannesburg, face challenges of rapid urban growth, informality and strained health services, compounded by increasing temperatures due to climate change. This study aims to understand the complexities of heat-related health impacts in these cities. The objectives are: (1) mapping intraurban heat risk and exposure using health, socioeconomic, climate and satellite imagery data; (2) creating a stratified heat-health forecast model to predict adverse health outcomes; and (3) establishing an early warning system for timely heatwave alerts. The ultimate goal is to foster climate-resilient African cities, protecting disproportionately affected populations from heat hazards. METHODS AND ANALYSIS: The research will acquire health-related datasets from eligible adult clinical trials or cohort studies conducted in Johannesburg and Abidjan between 2000 and 2022. Additional data will be collected, including socioeconomic, climate datasets and satellite imagery. These resources will aid in mapping heat hazards and quantifying heat-health exposure, the extent of elevated risk and morbidity. Outcomes will be determined using advanced data analysis methods, including statistical evaluation, machine learning and deep learning techniques. ETHICS AND DISSEMINATION: The study has been approved by the Wits Human Research Ethics Committee (reference no: 220606). Data management will follow approved procedures. The results will be disseminated through workshops, community forums, conferences and publications. Data deposition and curation plans will be established in line with ethical and safety considerations.

A mixed methods approach identifying facilitators and barriers to guide adaptations to InterCARE strategies: an integrated HIV and hypertension care model in Botswana.

BACKGROUND: Botswana serves as a model of success for HIV with 95% of people living with HIV (PLWH) virally suppressed. Yet, only 19% of PLWH and hypertension have controlled blood pressure. To address this gap, InterCARE, a care model that integrates HIV and hypertension care through a) provider training; b) adapted electronic health record; and c) treatment partners (peer support), was designed. This study presents results from our baseline assessment of the determinants and factors used to guide adaptations to InterCARE implementation strategies prior to a hybrid type 2 effectiveness-implementation study. METHODS: This study employed a convergent mixed methods design across two clinics (one rural, one urban) to collect quantitative and qualitative data through facility assessments, 100 stakeholder surveys (20 each PLWH and hypertension, existing HIV treatment partners, clinical healthcare providers (HCPs), and 40 community leaders) and ten stakeholder key informative interviews (KIIs). Data were analyzed using descriptive statistics and deductive qualitative analysis organized by the Consolidated Framework for Implementation Research (CFIR) and compared to identify areas of convergence and divergence. RESULTS: Although 90.3% of 290 PLWH and hypertension at the clinics were taking antihypertensive medications, 52.8% had uncontrolled blood pressure. Results from facility assessments, surveys, and KIIs identified key determinants in the CFIR innovation and inner setting domains. Most stakeholders (> 85%) agreed that InterCARE was adaptable, compatible and would be successful at improving blood pressure control in PLWH and hypertension. HCPs agreed that there were insufficient resources (40%), consistent with facility assessments and KIIs which identified limited staffing, inconsistent electricity, and a lack of supplies as key barriers. Adaptations to InterCARE included a task-sharing strategy and expanded treatment partner training and support. CONCLUSIONS: Integrating hypertension services into HIV clinics was perceived as more advantageous for PLWH than the current model of hypertension care delivered outside of HIV clinics. Identified barriers were used to adapt InterCARE implementation strategies for more effective intervention delivery. TRIAL REGISTRATION: ClinicalTrials.gov, ClinicalTrials.gov Identifier: NCT05414526 . Registered 18 May 2022 - Retrospectively registered.

Protocol of an individual participant data meta-analysis to quantify the impact of high ambient temperatures on maternal and child health in Africa (HE2AT IPD).

INTRODUCTION: Globally, recognition is growing of the harmful impacts of high ambient temperatures (heat) on health in pregnant women and children. There remain, however, major evidence gaps on the extent to which heat increases the risks for adverse health outcomes, and how this varies between settings. Evidence gaps are especially large in Africa. We will conduct an individual participant data (IPD) meta-analysis to quantify the impacts of heat on maternal and child health in sub-Saharan Africa. A detailed understanding and quantification of linkages between heat, and maternal and child health is essential for developing solutions to this critical research and policy area. METHODS AND ANALYSIS: We will use IPD from existing, large, longitudinal trial and cohort studies, on pregnant women and children from sub-Saharan Africa. We will systematically identify eligible studies through a mapping review, searching data repositories, and suggestions from experts. IPD will be acquired from data repositories, or through collaboration with data providers. Existing satellite imagery, climate reanalysis data, and station-based weather observations will be used to quantify weather and environmental exposures. IPD will be recoded and harmonised before being linked with climate, environmental, and socioeconomic data by location and time. Adopting a one-stage and two-stage meta-analysis method, analytical models such as time-to-event analysis, generalised additive models, and machine learning approaches will be employed to quantify associations between exposure to heat and adverse maternal and child health outcomes. ETHICS AND DISSEMINATION: The study has been approved by ethics committees. There is minimal risk to study participants. Participant privacy is protected through the anonymisation of data for analysis, secure data transfer and restricted access. Findings will be disseminated through conferences, journal publications, related policy and research fora, and data may be shared in accordance with data sharing policies of the National Institutes of Health. PROSPERO REGISTRATION NUMBER: CRD42022346068.

Implementation Research at NHLBI: Methodological and Design Challenges and Lessons Learned from the DECIPHeR Initiative.

NHLBI funded seven projects as part of the Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) Initiative. They were expected to collaborate with community partners to (1) employ validated theoretical or conceptual implementation research frameworks, (2) include implementation research study designs, (3) include implementation measures as primary outcomes, and (4) inform our understanding of mediators and mechanisms of action of the implementation strategy. Several projects focused on late-stage implementation strategies that optimally and sustainably delivered two or more evidence-based multilevel interventions to reduce or eliminate cardiovascular and/or pulmonary health disparities and to improve population health in high-burden communities. Projects that were successful in the three-year planning phase transitioned to a 4-year execution phase. NHLBI formed a Technical Assistance Workgroup during the planning phase to help awardees refine study aims, strengthen research designs, detail analytic plans, and to use valid sample size methods. This paper highlights methodological and study design challenges encountered during this process. Important lessons learned included (1) the need for greater emphasis on implementation outcomes, (2) the need to clearly distinguish between intervention and implementation strategies in the protocol, (3) the need to address clustering due to randomization of groups or clusters, (4) the need to address the cross-classification that results when intervention agents work across multiple units of randomization in the same arm, (5) the need to accommodate time-varying intervention effects in stepped-wedge designs, and (6) the need for data-based estimates of the parameters required for sample size estimation.

Charting the Future of Health Equity Research: Lessons Learned and Future Aspirations for NHLBI's DECIPHeR Alliance.

The Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) research program, supported by the National Heart, Lung, and Blood Institute (NHLBI), focuses on developing and testing sustainable interventions to reduce heart and lung disease disparities. This perspective piece reflects on lessons learned during the planning phase (UG3) and outlines the accomplishments of the DECIPHeR Alliance. The article emphasizes the importance of a biphasic (UG3/UH3) funding mechanism, technical assistance, and collaborative subcommittees in achieving success. As DECIPHeR enters phase 2 (UH3), the article anticipates rigorously planned studies addressing social determinants of health and emphasizes the need for effective implementation strategies and equitable research frameworks. The Alliance's contributions, such as the IM4Equity framework, offer novel approaches to community-engaged health equity and implementation science research. The article explores future opportunities, including dissemination strategies, community engagement, and collaboration with diverse partners, to maximize DECIPHeR's impact on health disparities beyond cardiovascular and pulmonary health.

Sodium Content and Labelling of Packaged Foods and Beverages in Nigeria: A Cross-Sectional Study.

Increased consumption of unhealthy processed foods, particularly those high in sodium, is a major risk factor for cardiovascular diseases. The nutrition information on packaged foods can help guide consumers toward products with less sodium and support government actions to improve the healthiness of the food supply. The aims of this study were to estimate the proportion of packaged foods displaying nutrition information for sodium and other nutrients specified by Nigerian nutrition labelling regulations and to determine the amount of sodium in packaged foods sold in Nigeria using data from the nutritional information panel. Data were collected from November 2020 to March 2021 from in-store surveys conducted in supermarkets in three states. A total of 7039 products were collected. Overall, 91.5% (n = 6439) provided only partial nutrition information, 7.0% (n = 495) provided no nutritional information, and only 1.5% (n = 105) displayed a nutrient declaration that included all nutrients specified by 2019 Nigerian regulations. Some form of sodium content information was displayed for 86% of all products (n = 6032), of which around 45% (n = 2689) expressed this as 'salt' and 59% (n = 3559) expressed this as 'sodium', while a small number of food products had both 'salt' and 'sodium' content (3.6%). Provision of sodium or salt information on the label varied between food categories, ranging from 50% (vitamins and supplements, n = 2/4) to 96% (convenience foods, n = 44/46). Food categories with the highest median sodium content were 'meat and meat alternatives' (904 mg/100 g), 'sauces, dressings, spreads, and dips' (560 mg/100 g), and 'snack foods' (536 mg/100 g), although wide variation was often observed within categories. These findings highlight considerable potential to improve the availability and consistency of nutrition information on packaged products in Nigeria and to introduce further policies to reduce the amount of sodium in the Nigerian food supply.