Outcomes measured in studies assessing health systems interventions for type 1 diabetes management: A scoping review.

AIMS: Describe the outcomes reported in research on health systems interventions for type 1 diabetes management in comparison to the outcomes proposed by a core outcome set (COS) for this condition, an essential list of outcomes that studies should measure. METHODS: Systematic search of studies published between 2010 and 2021 reporting health systems interventions directed to improve the management of type 1 diabetes using PubMed, EMBASE and CENTRAL. Information on the outcomes was extracted and classified according to a COS: self-management, level of clinical engagement, perceived control over diabetes, diabetes-related quality of life, diabetes burden, diabetes ketoacidosis, severe hypoglycemia, and glycated hemoglobin (HbA1C). RESULTS: 187 studies were included. Most of the studies included either children (n = 82/187) or adults (n = 82/187) living with type 1 diabetes. The most common outcome measured was HbA1C (n = 149/187), followed by self-management (n = 105/187). While the least measured ones were diabetes ketoacidosis (n = 15/187), and clinical engagement (n = 0/187). None of the studies measured all the outcomes recommended in the COS. Additionally, different tools were found to be used in measuring the same outcome. CONCLUSIONS: This study provides a description of what researchers are measuring when assessing health systems interventions to improve type 1 diabetes management. In contrast to a COS, it was found that there is a predominance of clinical-based outcomes over patient-reported outcome measures.

Improving accessibility to radiotherapy services in Cali, Colombia: cross-sectional equity analyses using open data and big data travel times from 2020.

In this study, we evaluated and forecasted the cumulative opportunities for residents to access radiotherapy services in Cali, Colombia, while accounting for traffic congestion, using a new people-centred methodology with an equity focus. Furthermore, we identified 1-2 optimal locations where new services would maximise accessibility. We utilised open data and publicly available big data. Cali is one of South America's cities most impacted by traffic congestion. METHODOLOGY: Using a people-centred approach, we tested a web-based digital platform developed through an iterative participatory design. The platform integrates open data, including the location of radiotherapy services, the disaggregated sociodemographic microdata for the population and places of residence, and big data for travel times from Google Distance Matrix API. We used genetic algorithms to identify optimal locations for new services. We predicted accessibility cumulative opportunities (ACO) for traffic ranging from peak congestion to free-flow conditions with hourly assessments for 6-12 July 2020 and 23-29 November 2020. The interactive digital platform is openly available. PRIMARY AND SECONDARY OUTCOMES: We present descriptive statistics and population distribution heatmaps based on 20-min accessibility cumulative opportunities (ACO) isochrones for car journeys. There is no set national or international standard for these travel time thresholds. Most key informants found the 20-min threshold reasonable. These isochrones connect the population-weighted centroid of the traffic analysis zone at the place of residence to the corresponding zone of the radiotherapy service with the shortest travel time under varying traffic conditions ranging from free-flow to peak-traffic congestion levels. Additionally, we conducted a time-series bivariate analysis to assess geographical accessibility based on economic stratum. We identify 1-2 optimal locations where new services would maximize the 20-min ACO during peak-traffic congestion. RESULTS: Traffic congestion significantly diminished accessibility to radiotherapy services, particularly affecting vulnerable populations. For instance, urban 20-min ACO by car dropped from 91% of Cali's urban population within a 20-min journey to the service during free-flow traffic to 31% during peak traffic for the week of 6-12 July 2020. Percentages represent the population within a 20-min journey by car from their residence to a radiotherapy service. Specific ethnic groups, individuals with lower educational attainment, and residents on the outskirts of Cali experienced disproportionate effects, with accessibility decreasing to 11% during peak traffic compared to 81% during free-flow traffic for low-income households. We predict that strategically adding sufficient services in 1-2 locations in eastern Cali would notably enhance accessibility and reduce inequities. The recommended locations for new services remained consistent in both of our measurements.These findings underscore the significance of prioritising equity and comprehensive care in healthcare accessibility. They also offer a practical approach to optimising service locations to mitigate disparities. Expanding this approach to encompass other transportation modes, services, and cities, or updating measurements, is feasible and affordable. The new approach and data are particularly relevant for planning authorities and urban development actors.

ESPAñOL: En este estudio, evaluamos y pronosticamos las oportunidades acumulativas para que los residentes accedan a los servicios de radioterapia en Cali, Colombia, teniendo en cuenta la congestión del tráfico, utilizando una nueva metodología centrada en las personas con un enfoque de equidad. Además, identificamos 1-2 ubicaciones óptimas donde los nuevos servicios maximizarían la accesibilidad. Utilizamos datos abiertos y macrodatos disponibles públicamente. Cali está entre las ciudades Sudamericanas más afectadas por la congestión del tráfico.Metodología: Usando un enfoque centrado en las personas, probamos una plataforma digital basada en la web desarrollada a través de un diseño participativo iterativo. La plataforma integra datos abiertos, incluyendo la ubicación de los servicios de radioterapia, los microdatos sociodemográficos desagregados de la población y los lugares de residencia, y los macrodatos de tiempos de viaje de la API de Google Distance Matrix. Usamos algoritmos genéticos para identificar ubicaciones óptimas para nuevos servicios. Pronosticamos oportunidades acumulativas de accesibilidad (ACO, por sus siglas en inglés) para el tráfico que va desde la congestión máxima hasta condiciones de flujo libre, con evaluaciones horarias hechas del 6 al 12 de julio de 2020 y del 23 al 29 de noviembre de 2020. La plataforma digital interactiva está públicamente disponible.Resultados Primarios y Secundarios: Presentamos estadísticas descriptivas y mapas de calor de la distribución de la población basados en isócronas de ACO de 20 minutos para viajes en coche. No existe un estándar nacional o internacional establecido para estos umbrales de tiempo de viaje. La mayoría de los informantes clave encontraron razonable el umbral de 20 minutos. Estas isócronas conectan el centroide poblacional ponderado de la zona de análisis de tráfico del lugar de residencia con la zona correspondiente del servicio de radioterapia con menor tiempo de viaje bajo condiciones variables de tráfico, que van desde el flujo libre hasta niveles de congestión de tráfico máximo. Además, realizamos un análisis bivariado de series temporales para evaluar la accesibilidad geográfica basada en el estrato económico. Identificamos 1-2 ubicaciones óptimas donde los nuevos servicios maximizarían el ACO de 20 minutos durante la congestión máxima del tráfico.Resultados: La congestión del tráfico redujo significativamente la accesibilidad a los servicios de radioterapia, afectando particularmente a las poblaciones vulnerables. Por ejemplo, el ACO urbano de 20 minutos en coche se redujo del 91% de la población urbana de Cali para viajes de hasta 20 minutos al servicio con flujo libre de tráfico, al 31% cuando hay congestión pico de tráfico durante la semana del 6 al 12 de julio de 2020. Los porcentajes representan la población con viajes de hasta 20 minutos en coche desde la residencia hasta el servicio de radioterapia. Grupos étnicos específicos, individuos con menor nivel educativo y residentes en las afueras de Cali experimentaron efectos desproporcionados, con la accesibilidad disminuyendo al 11% durante el tráfico máximo en comparación con el 81% durante el tráfico de flujo libre para hogares de bajos ingresos. Predecimos que agregar estratégicamente suficientes servicios en 1-2 ubicaciones en el este de Cali mejoraría notablemente la accesibilidad y reduciría las inequidades. Las ubicaciones recomendadas para los nuevos servicios se mantuvieron consistentes en nuestras dos mediciones.Estos hallazgos subrayan la importancia de priorizar la equidad y la atención integral en la accesibilidad a la atención médica. También ofrecen un enfoque práctico para optimizar las ubicaciones de los servicios para mitigar las disparidades. Es factible y accesible expandir este enfoque para abarcar otros modos de transporte, servicios y ciudades, o actualizar las mediciones. El nuevo enfoque y los datos son particularmente relevantes para las autoridades de planificación y los actores del desarrollo urbano.

PORTUGUêS: Neste estudo, avaliamos e previmos as oportunidades cumulativas para os residentes acessarem serviços de radioterapia em Cali, Colômbia, levando em consideração o congestionamento do tráfego, utilizando uma nova metodologia centrada nas pessoas com um foco na equidade. Além disso, identificamos 1-2 locais ideais onde os novos serviços poderiam maximizar a acessibilidade. Utilizamos dados abertos e big data disponíveis publicamente. Cali está entre as cidades sulamericanas mais afetadas pela congestionamento do tráfego.Metodologia: Usando uma abordagem centrada em pessoas, testamos uma plataforma digital baseada na web que foi desenvolvida através de um design participativo iterativo. A plataforma integra dados abertos, incluindo a localização dos serviços de radioterapia, microdados sociodemográficos desagregados por população e locais de residência, e big data da API Google Distance Matrix para os tempos de viagem. Utilizamos algoritmos genéticos para identificar locais ideais para novos serviços. Previmos oportunidades cumulativas de acessibilidade (ACO, por suas siglas em inglês) para o tráfego que varia desde o congestionamento máximo até condições de fluxo livre, com avaliações horárias de 6 a 12 de julho de 2020 e de 23 a 29 de novembro de 2020. A plataforma digital interativa está disponível publicamente.Resultados Primários e Secundários: Apresentamos estatísticas descritivas e mapas de calor da distribuição populacional baseados em isócronas de ACO de 20 minutos para viagens de carro. Não existe um padrão nacional ou internacional estabelecido para esses limites de tempo de viagem. A maioria dos entrevistados-chave considerou razoável o limite de 20 minutos. Essas isócronas conectam o centroide ponderado pela população da zona de análise de tráfego no local de residência e sua zona correspondente do serviço de radioterapia com o menor tempo de viagem sob condições variáveis de tráfego (que vão desde fluxo livre até níveis máximos de congestionamento do tráfego). Além disso, realizamos uma análise bivariada de séries temporais para avaliar a acessibilidade geográfica baseada na estratificação econômica. Identificamos 1-2 locais ideais onde os novos serviços maximizariam a ACO de 20 minutos durante o pico de congestionamento do tráfego.Resultados: O congestionamento do tráfego reduziu significativamente a acessibilidade aos serviços de radioterapia, afetando particularmente as populações vulneráveis. Por exemplo, a ACO urbana de 20 minutos de carro foi reduzida de 91% durante um fluxo livre de tráfego, para 31% durante picos de congestionamento de tráfego entre a semana de 6 a 12 de julho de 2020. As porcentagens representam a população com viagens de até 20 minutos de carro de sua residência até o serviço de radioterapia. Grupos étnicos específicos, indivíduos com menor nível educacional e residentes nos arredores de Cali experimentaram resultados desproporcionais, com a acessibilidade diminuindo para 11% durante o tráfego com congestionamento máximo em comparação com 81% durante o fluxo livre de tráfego para domicílios de baixa renda. Prevemos que adicionar estrategicamente serviços suficientes em 1-2 locais no leste de Cali melhoraria significativamente a acessibilidade e reduziria as desigualdades. Os locais recomendados para os novos serviços permaneceram consistentes em ambas medições. Esses resultados ressaltam a importância de priorizar a equidade e o atendimento integral na acessibilidade aos cuidados de saúde. Eles também oferecem uma abordagem prática para otimizar os locais dos serviços a fim de minimizar as desigualdades. A expansão dessa abordagem para abranger outros modos de transporte, serviços e cidades, ou a atualização das medições, é viável e acessível. A nova abordagem e os dados são particularmente relevantes para as autoridades de planejamento e os agentes do desenvolvimento urbano.

FRANçAIS: Dans cette étude, nous avons évalué et prévu les opportunités cumulées pour les résidents d'accéder aux services de radiothérapie à Cali, en Colombie, tout en tenant compte de la congestion du trafic en utilisant une nouvelle méthodologie centrée sur les personnes avec axée sur l'équité. De plus, nous avons identifié 1 à 2 emplacements optimaux où de nouveaux services maximiseraient l'accessibilité. Nous avons utilisé des données ouvertes et des macrodonnées tenues à disposition du public. Cali est l'une des villes d'Amérique du Sud les plus touchées par la congestion du trafic.Méthodologie: En utilisant une approche centrée sur les personnes, nous avons testé une plateforme numérique basée sur le web développée à travers une conception participative itérative. La plateforme intègre des données ouvertes, y compris la localisation des services de radiothérapie, les microdonnées sociodémographiques désagrégées de la population et les lieux de résidence, ainsi que les mégadonnées des temps de trajet de l'API Google Distance Matrix. Nous avons utilisé des algorithmes génétiques pour identifier les emplacements optimaux pour de nouveaux services. Nous avons prévu les opportunités cumulatives d'accessibilité (ACO, désignant l'acronyme en anglais) pour le trafic allant de la congestion maximale aux conditions de flux libre, avec des évaluations horaires du 6 au 12 juillet 2020 et du 23 au 29 novembre 2020. La plateforme numérique interactive est disponible publiquement.Résultats Primaires et Secondaires: Nous présentons des statistiques descriptives et des cartes thermiques de la distribution de la population basées sur des ACO de 20 minutes pour les trajets en voiture. Il n'existe pas de norme nationale ou internationale établie pour ces seuils de temps de trajet. La majorité des informateurs clés ont trouvé le seuil de 20 minutes raisonnable. Ces isochrones relient le centroïde pondéré par la population de la zone d'analyse du trafic au lieu de résidence à la zone correspondante du service de radiothérapie avec le temps de trajet le plus court sous des conditions de trafic variables allant du flux libre aux niveaux de congestion de trafic maximum. De plus, nous avons réalisé une analyse bivariée des séries chronologiques pour évaluer l'accessibilité géographique en fonction de la stratification économique. Nous avons identifié 1 à 2 emplacements optimaux où de nouveaux services maximiseraient l'ACO de 20 minutes pendant la congestion maximale du trafic.Résultats: La congestion du trafic a considérablement réduit l'accessibilité aux services de radiothérapie, affectant particulièrement les populations vulnérables. Par exemple, l'ACO urbain de 20 minutes en voiture est passé de 91 % de la population urbaine de Cali pour des trajets de jusqu'à 20 minutes vers le service avec un flux de trafic libre à 31 % lors des pics de congestion de trafic pendant la semaine du 6 au 12 juillet 2020. Les pourcentages représentent la population avec des trajets de jusqu'à 20 minutes en voiture depuis la résidence jusqu'au service de radiothérapie. Des groupes ethniques spécifiques, des individus ayant un niveau d'éducation inférieur et des résidents des périphéries de Cali ont subi des effets disproportionnés, avec une accessibilité diminuant à 11 % pendant le trafic maximal par rapport à 81 % pendant le flux de trafic libre pour les ménages à faible revenu. Ajouter suffisamment de services à 1-2 emplacements stratégiques dans l'est de Cali a le potential d'améliorer considérablement l'accessibilité et réduirait les inégalités. Les emplacements recommandés pour les nouveaux services sont restés cohérents dans nos deux mesures. Ces conclusions soulignent l'importance de prioriser l'équité et une prise en charge globale dans le cadre de l'accessibilité aux soins de santé. Elles offrent également une approche pratique pour optimiser les emplacements des services afin de réduire les disparités. Il est faisable et abordable d'étendre cette approche pour inclure d'autres modes de transport, services et villes, ou pour mettre à jour les mesures. La nouvelle approche et les données sont particulièrement pertinentes pour les autorités de planification et les acteurs du développement urbain.

Research Translation to Promote Urban Health in Latin America: The SALURBAL Experience.

In highly urbanized and unequal Latin America, urban health and health equity research are essential to effective policymaking. To ensure the application of relevant and context-specific evidence to efforts to reduce urban health inequities, urban health research in Latin America must incorporate strategic research translation efforts. Beginning in 2017, the Urban Health in Latin America (SALURBAL) project implemented policy-relevant research and engaged policymakers and the public to support the translation of research findings. Over 6 years, more than 200 researchers across eight countries contributed to SALURBAL's interdisciplinary network. This network allowed SALURBAL to adapt research and engagement activities to local contexts and priorities, thereby maximizing the policy relevance of research findings and their application to promote policy action, inform urban interventions, and drive societal change. SALURBAL achieved significant visibility and credibility among academic and nonacademic urban health stakeholders, resulting in the development of evidence and tools to support urban policymakers, planners, and policy development processes across the region. These efforts and their outcomes reveal important lessons regarding maintaining flexibility and accounting for local context in research, ensuring that resources are dedicated to policy engagement and dissemination activities, and recognizing that assessing policy impact requires a nuanced understanding of complex policymaking processes. These reflections are relevant for promoting urban health and health equity research translation across the global south and worldwide. This paper presents SALURBAL's strategy for dissemination and policy translation, highlights innovative initiatives and their outcomes, discusses lessons learned, and shares recommendations for future efforts to promote effective translation of research findings.

Chronic Obstructive Pulmonary Disease Self-Management in Three Low- and Middle-Income Countries: A Pilot Randomized Trial.

Objectives: Chronic obstructive pulmonary disease (COPD) disproportionately affects low- and middle-income countries. Health systems are ill prepared to manage the increase in COPD cases. Methods: We performed a pilot effectiveness-implementation randomized field trial of a community health worker (CHW)-supported, 1-year self-management intervention in individuals with COPD grades B-D. The study took place in low-resource settings of Nepal, Peru, and Uganda. The primary outcome was the St. George's Respiratory Questionnaire (SGRQ) score at 1 year. We evaluated differences in moderate to severe exacerbations, all-cause hospitalizations, and the EuroQol score (EQ-5D-3 L) at 12 months. Measurements and Main Results: We randomly assigned 239 participants (119 control arm, 120 intervention arm) with grades B-D COPD to a multicomponent, CHW-supported intervention or standard of care and COPD education. Twenty-five participants (21%) died or were lost to follow-up in the control arm compared with 11 (9%) in the intervention arm. At 12 months, there was no difference in mean total SGRQ score between the intervention and control arms (34.7 vs. 34.0 points; adjusted mean difference, 1.0; 95% confidence interval, -4.2, 6.1; P = 0.71). The intervention arm had a higher proportion of hospitalizations than the control arm (10% vs. 5.2%; adjusted odds ratio, 2.2; 95% confidence interval, 0.8, 7.5; P = 0.15) at 12 months. Conclusions: A CHW-based intervention to support self-management of acute exacerbations of COPD in three resource-poor settings did not result in differences in SGRQ scores at 1 year. Fidelity was high, and intervention engagement was moderate. Although these results cannot differentiate between a failed intervention or implementation, they nonetheless suggest that we need to revisit our strategy. Clinical trial registered with www.clinicaltrials.gov (NCT03359915).

Unmet Diagnostic and Therapeutic Opportunities for Chronic Obstructive Pulmonary Disease in Low- and Middle-Income Countries.

Rationale: Chronic obstructive pulmonary disease (COPD) is a prevalent and burdensome condition in low- and middle-income countries (LMICs). Challenges to better care include more effective diagnosis and access to affordable interventions. There are no previous reports describing therapeutic needs of populations with COPD in LMICs who were identified through screening. Objectives: To describe unmet therapeutic need in screening-detected COPD in LMIC settings. Methods: We compared interventions recommended by the international Global Initiative for Chronic Obstructive Lung Disease COPD strategy document, with that received in 1,000 people with COPD identified by population screening at three LMIC sites in Nepal, Peru, and Uganda. We calculated costs using data on the availability and affordability of medicines. Measurement and Main Results: The greatest unmet need for nonpharmacological interventions was for education and vaccinations (applicable to all), pulmonary rehabilitation (49%), smoking cessation (30%), and advice on biomass smoke exposure (26%). Ninety-five percent of the cases were previously undiagnosed, and few were receiving therapy (4.5% had short-acting ß-agonists). Only three of 47 people (6%) with a previous COPD diagnosis had access to drugs consistent with recommendations. None of those with more severe COPD were accessing appropriate maintenance inhalers. Even when available, maintenance treatments were unaffordable, with 30 days of treatment costing more than a low-skilled worker's daily average wage. Conclusions: We found a significant missed opportunity to reduce the burden of COPD in LMIC settings, with most cases undiagnosed. Although there is unmet need in developing novel therapies, in LMICs where the burden is greatest, better diagnosis combined with access to affordable interventions could translate to immediate benefit.

Improving representativeness in trials: a call to action from the Global Cardiovascular Clinical Trialists Forum.

Participants enrolled in cardiovascular disease (CVD) randomized controlled trials are not often representative of the population living with the disease. Older adults, children, women, Black, Indigenous and People of Color, and people living in low- and middle-income countries are typically under-enrolled in trials relative to disease distribution. Treatment effect estimates of CVD therapies have been largely derived from trial evidence generated in White men without complex comorbidities, limiting the generalizability of evidence. This review highlights barriers and facilitators of trial enrollment, temporal trends, and the rationale for representativeness. It proposes strategies to increase representativeness in CVD trials, including trial designs that minimize the research burden on participants, inclusive recruitment practices and eligibility criteria, diversification of clinical trial leadership, and research capacity-building in under-represented regions. Implementation of such strategies could generate better and more generalizable evidence to reduce knowledge gaps and position the cardiovascular trial enterprise as a vehicle to counter existing healthcare inequalities.

Involving different stakeholders in prioritising outcomes to assess healthcare systems response for type 1 diabetes management: Using co-creation approaches in Peru.

BACKGROUND: Engaging diverse stakeholders in developing core outcome sets (COSs) can produce more meaningful metrics as well as research responsive to patient needs. The most common COS prioritisation method, Delphi surveys, has limitations related to selection bias and participant understanding, while qualitative methods like group discussions are less frequently used. This study aims to test a co-creation approach to COS development for type 1 diabetes (T1DM) in Peru. METHODS: Using a co-creation approach, we aimed to prioritise outcomes for T1DM management in Peru, incorporating perspectives from people with T1DM, caregivers, healthcare professionals, and decision-makers. A set of outcomes were previously identified through a systematic review and qualitative evidence synthesis. Through qualitative descriptive methods, including in-person workshops, each group of stakeholders contributed to the ranking of outcomes. Decision-makers also discussed the feasibility of measuring these outcomes within the Peruvian healthcare system. RESULTS: While priorities varied among participant groups, all underscored the significance of monitoring healthcare system functionality over mortality. Participants recognized the interconnected nature of healthcare system performance, clinical outcomes, self-management, and quality of life. When combining the rankings from all the groups, metrics related to economic impact on the individual and structural support, policies promoting health, and protecting those living with T1DM were deemed more important in comparison to measuring clinical outcomes. CONCLUSION: We present the first COS for T1DM focused on low-and-middle-income countries and show aspects of care that are relevant in this setting. Diverse prioritisation among participant groups underscores the need of inclusive decision-making processes. By incorporating varied perspectives, healthcare systems can better address patient needs and enhance overall care quality.

How Could Taxes on Sugary Drinks and Foods Help Reduce the Burden Of Type 2 Diabetes?

PURPOSE OF REVIEW: Taxes on sugary drinks and foods have emerged as a key strategy to counteract the alarming levels of diabetes worldwide. Added sugar consumption from industrialized foods and beverages has been strongly linked to type 2 diabetes. This review provides a synthesis of evidence on how taxes on sugary products can influence the onset of type 2 diabetes, describing the importance of the different mechanisms through which the consumption of these products is reduced, leading to changes in weight and potentially a decrease in the incidence of type 2 diabetes. RECENT FINDINGS: Observational studies have shown significant reductions in purchases, energy intake, and body weight after the implementation of taxes on sugary drinks or foods. Simulation studies based on the association between energy intake and type 2 diabetes estimated the potential long-term health and economic effects, particularly in low- and middle-income countries, suggesting that the implementation of sugary food and beverage taxes may have a meaningful impact on reducing type 2 diabetes and complications. Public health response to diabetes requires multi-faceted approaches from health and non-health actors to drive healthier societies. Population-wide strategies, such as added sugar taxes, highlight the potential benefits of financial incentives to address behaviors and protective factors to significantly change an individual's health trajectory and reduce the onset of type 2 diabetes worldwide, both in terms of economy and public health.

Skeletal muscle mass and all-cause mortality: Findings from the CRONICAS cohort study.

OBJECTIVE: We aimed (1) to evaluate the agreement between two methods (equation and bio-impedance analysis [BIA]) to estimate skeletal muscle mass (SMM), and (2) to assess if SMM was associated with all-cause mortality risk in individuals across different geographical sites in Peru. METHODS: We used data from the CRONICAS Cohort Study (2010-2018), a population-based longitudinal study in Peru to assess cardiopulmonary risk factors from different geographical settings. SMM was computed as a function of weight, height, sex and age (Lee equation) and by BIA. All-cause mortality was retrieved from national vital records. Cox proportional-hazard models were developed and results presented as hazard ratios (HRs) with 95% confidence intervals (95% CIs). RESULTS: At baseline, 3216 subjects, 51.5% women, mean age 55.7 years, were analysed. The mean SMM was 23.1 kg (standard deviation [SD]: 6.0) by Lee equation, and 22.7 (SD: 5.6) by BIA. Correlation between SMM estimations was strong (Pearson's ρ coefficient = 0.89, p < 0.001); whereas Bland-Altman analysis showed a small mean difference. Mean follow-up was 7.0 (SD: 1.0) years, and there were 172 deaths. In the multivariable model, each additional kg in SMM was associated with a 19% reduction in mortality risk (HR = 0.81; 95% CI: 0.75-0.88) using the Lee equation, but such estimate was not significant when using BIA (HR = 0.98; 95% CI: 0.94-1.03). Compared to the lowest tertile, subjects at the highest SMM tertile had a 56% reduction in risk of mortality using the Lee equation, but there was no such association when using BIA estimations. CONCLUSION: There is a strong correlation and agreement between SMM estimates obtained by the Lee equation and BIA. However, an association between SMM and all-cause mortality exists only when the Lee equation is used. Our findings call for appropriate use of approaches to estimate SMM, and there should be a focus on muscle mass in promoting healthier ageing.

[Responding to the sexual and reproductive health needs of Venezuelan migrant women in LimaResposta às necessidades de saúde sexual e reprodutiva de migrantes venezuelanas em Lima]. / Respondiendo a las necesidades de salud sexual y reproductiva de las migrantes venezolanas en Lima.

Objectives: To present and analyze the Peruvian health system's response to the sexual and reproductive health needs of Venezuelan women living in the city of Lima, Peru, and to identify some of the reasons underlying this response. Methods: Information was collected through semi-structured, in-depth telephone interviews with 30 Venezuelan women, 10 healthcare workers, and two Ministry of Health officials. Results: Based on the experiences of Venezuelan women who sought care through these services during 2019-2020 and the perspectives of healthcare personnel and health authorities, we present an analysis of the public health services' capacity and limitations in meeting the sexual and reproductive health needs of this population. Migrant women's testimonies reported a positive experience with a health system that, despite shortcomings, responds to the most common sexual and reproductive health needs. These perspectives parallel the testimonies of healthcare personnel and authorities who emphasized the existence of priority policies for sexual and reproductive health care. Conclusion: This study shows how a national priority framework (reducing maternal mortality), accompanied by operational mechanisms for social protection (such as the Comprehensive Health Insurance program), represent complementary instruments that have a positive impact on and extend benefits to migrants, even though this population was not considered when designing these policies.

Objetivo: Apresentar e analisar a resposta do sistema de saúde peruano às necessidades de saúde sexual e reprodutiva de mulheres venezuelanas radicadas em Lima, Peru, e identificar algumas explicações para essa resposta. Métodos: Entrevistas telefônicas semiestruturadas detalhadas com 30 mulheres venezuelanas, 10 profissionais de saúde e 2 funcionários do Ministério da Saúde. Resultados: Com base nas experiências das mulheres venezuelanas que recorreram a esses serviços no período de 2019 a 2020 e nas perspectivas de profissionais e autoridades de saúde, apresentamos uma análise da capacidade e das limitações dos serviços de saúde pública para atender às necessidades de saúde sexual e reprodutiva dessa população. Os relatos das mulheres migrantes indicam uma experiência positiva com um sistema de saúde, que, apesar das deficiências, responde às necessidades mais comuns de saúde sexual e reprodutiva. Isso está em conformidade com os relatos dos profissionais de saúde e das autoridades, que enfatizam a existência de políticas prioritárias de atenção à saúde sexual e reprodutiva. Conclusão: Este estudo mostra de que maneira um âmbito de prioridade nacional (reduzir a mortalidade materna) e mecanismos operacionais de proteção social (como o Seguro Integral de Saúde) se convertem em instrumentos complementares, afetando positivamente e estendendo benefícios à população migrante, embora essa população não tenha sido levada em consideração quando da elaboração dessas políticas.

Previous tuberculosis disease as a risk factor for chronic obstructive pulmonary disease: a cross-sectional analysis of multicountry, population-based studies.

BACKGROUND: Risk factors for COPD in high-income settings are well understood; however, less attention has been paid to contributors of COPD in low-income and middle-income countries (LMICs) such as pulmonary tuberculosis. We sought to study the association between previous tuberculosis disease and COPD by using pooled population-based cross-sectional data in 13 geographically diverse, low-resource settings. METHODS: We pooled six cohorts in 13 different LMIC settings, 6 countries and 3 continents to study the relationship between self-reported previous tuberculosis disease and lung function outcomes including COPD (defined as a postbronchodilator forced expiratory volume in one second (FEV1)/forced vital capacity (FVC) below the lower limit of normal). Multivariable regressions with random effects were used to examine the association between previous tuberculosis disease and lung function outcomes. RESULTS: We analysed data for 12 396 participants (median age 54.0 years, 51.5% male); 332 (2.7%) of the participants had previous tuberculosis disease. Overall prevalence of COPD was 8.8% (range 1.7%-15.5% across sites). COPD was four times more common among those with previous tuberculosis disease (25.7% vs 8.3% without previous tuberculosis disease, p<0.001). The adjusted odds of having COPD was 3.78 times higher (95% CI 2.87 to 4.98) for participants with previous tuberculosis disease than those without a history of tuberculosis disease. The attributable fraction of COPD due to previous tuberculosis disease in the study sample was 6.9% (95% CI 4.8% to 9.6%). Participants with previous tuberculosis disease also had lower prebronchodilator Z-scores for FEV1 (-0.70, 95% CI -0.84 to -0.55), FVC (-0.44, 95% CI -0.59 to -0.29) and the FEV1:FVC ratio (-0.63, 95% CI -0.76 to -0.51) when compared with those without previous tuberculosis disease. CONCLUSIONS: Previous tuberculosis disease is a significant and under-recognised risk factor for COPD and poor lung function in LMICs. Better tuberculosis control will also likely reduce the global burden of COPD.

Challenges of design, implementation, acceptability, and potential for, biomedical technologies in the Peruvian Amazon.

BACKGROUND: Biomedical technologies have the potential to be advantageous in remote communities. However, information about barriers faced by users of technology in general and in remote Indigenous communities is scarce. The purpose of this study was to characterize the leading challenges faced by researchers who have used biomedical technologies in the Peruvian Amazon. METHODS: This exploratory, qualitative study with a phenomenological approach depicts the lived experience of participants who were researchers with experience working with biomedical technologies in the Peruvian Amazon in the past five years. Analysis was based on three core themes: design, implementation, and acceptability. Sub-themes included environment, community, and culture. Of the 24 potential participants identified and contacted, 14 agreed to participate, and 13 met inclusion criteria and completed semi-structured interviews. Results were sent to each participant with the opportunity to provide feedback and partake in a 30-minute validation meeting. Five participants consented to a follow-up meeting to validate the results and provide further understanding. RESULTS: Participants recognized significant challenges, including technologies designed out-of-context, difficulty transporting the technologies through the Amazon, the impact of the physical environment (e.g., humidity, flooding), and limited existing infrastructure, such as electricity and appropriately trained health personnel. Participants also identified cultural factors, including the need to address past experiences with technology and health interventions, understand and appropriately communicate community benefits, and understand the effect of demographics (e.g., age, education) on the acceptance and uptake of technology. Complementary challenges, such as corruption in authority and waste disposal, and recommendations for technological and health interventions such as co-design were also identified. CONCLUSIONS: This study proposes that technological and health interventions without efforts to respect local cultures and health priorities, or understand and anticipate contextual challenges, will not meet its goal of improving access to healthcare in remote Amazon communities. Furthermore, the implications of corruption on health services, and improper waste disposal on the environment may lead to more detrimental health inequities.

Maternal internal migration and child growth and nutritional health in Peru: an analysis of the demographic and health surveys from 1991 to 2017.

BACKGROUND: Peru has historically experienced high rural-to-urban migration. Despite large reductions in undernutrition, overweight is increasing. Elsewhere, internal migration has been associated with differences in children's growth and nutritional health. We investigated how child growth and nutritional status in Peru varied over time and in association with maternal internal migration. METHODS: Using data from Demographic & Health Surveys from 1991 to 2017, we assessed trends in child growth (height-for-age [HAZ], weight-for-age [WAZ], weight-for-height [WHZ] z scores) and nutritional health (stunting, underweight, overweight) by maternal adult internal migration (urban [UNM] or rural non-migrant [RNM], or urban-urban [UUM], rural-urban [RUM], rural-rural [RRM], or urban-rural migrant [URM]). Using 2017 data, we ran regression analyses, adjusting for confounders, to investigate associations of maternal migration with child outcomes and the maternal and child double burden of malnutrition. We further stratified by timing of migration, child timing of birth and, for urban residents, type of area of residence. Results are given as adjusted predictive margins (mean z score or %) and associated regression p-values [p]. RESULTS: In 1991-2017, child growth improved, and undernutrition decreased, but large differences by maternal migration persisted. In 2017, within urban areas, being the child of a migrant woman was associated with lower WHZ (UUM = 0.6/RUM = 0.5 vs UNM = 0.7; p = 0.009 and p < 0.001 respectively) and overweight prevalence ((RUM 7% vs UNM = 11% [p = 0.002]). Results however varied both by child timing of birth (birth after migration meant greater overweight prevalence) and type of area of residence (better linear growth in children of migrants [vs non-migrants] in capital/large cities and towns but not small cities). In rural areas, compared to RNM, children of URM had higher HAZ (- 1.0 vs - 1.2; p < 0.001) and WAZ (- 0.3 vs - 0.4; p = 0.001) and lower stunting (14% vs 21%; [p < 0.001]). There were no differences by timing of birth in rural children, nor by time since migration across all children. The mother and child double burden of malnutrition was higher in rural than urban areas but no differences were found by maternal internal migration. CONCLUSIONS: Migration creates a unique profile of child nutritional health that is not explained by maternal ethnic and early life factors, but which varies depending on the pathway of migration, the child timing of birth in relation to migration and, for urban dwellers, the size of the place of destination. Interventions to improve child nutritional health should take into consideration maternal health and migration history.

Sugar-sweetened beverage purchases in urban Peru before the implementation of taxation and warning label policies: a baseline study.

BACKGROUND: Sugar-sweetened beverage consumption is associated with obesity and chronic disease. In 2018, Peru increased the tax on high-sugar beverages (≥6 g of sugar per 100 mL) from 17 to 25%, yet little is known about pre-existing beverage trends or demographic characteristics associated with purchases in the country. The aim of this study was to explore beverage purchasing trends from 2016 to 2017 and examine variation in purchase volume by sociodemographic characteristics among urban households in Peru. METHODS: This study used monthly household purchase data from a panel of 5145 households from January 2016-December 2017 from Kantar WorldPanel Peru. Beverage purchases were categorized by type and tax status under the 2018 regulation (untaxed, lower-sugar taxed, high-sugar taxed). To assess beverage purchasing trends, per-capita volume purchases were regressed on a linear time trend, with month dummies for seasonality and clustered standard errors. Mean volume purchases by beverage tax status (total liters purchased per month), overall and by key demographic characteristics (education, socioeconomic status, and geographic region), were calculated. Mean volume by beverage type was assessed to identify the largest contributors to total beverage volume. RESULTS: The trends analysis showed a decline in total beverage volume of - 52 mL/capita/month (95% CI: - 72, - 32) during the 24-month study period. Over 99% of households purchased untaxed beverages in a month, while > 92% purchased high-sugar taxed beverages. Less than half of all households purchased low-sugar taxed beverages in a month and purchase volume was low (0.3 L/capita/month). Untaxed beverage purchases averaged 9.4 L/capita/month, while households purchased 2.8 L/capita/month of high-sugar taxed beverages in 2017. Across tax categories, volume purchases were largest in the high education and high socioeconomic (SES) groups, with substantial variation by geographic region. The highest volume taxed beverage was soda (2.3 L/capita/month), while the highest volume untaxed beverages were milk and bottled water (1.9 and 1.7 L/capita/month, respectively). CONCLUSIONS: Nearly all households purchased high-sugar taxed beverages, although volume purchases of taxed and untaxed beverages declined slightly from 2016 to 2017. Households with high SES and high education purchased the highest volume of taxed beverages, highlighting the need to consider possible differential impacts of the tax policy change by sub-population groups.

Addressing the challenges of noncommunicable diseases and injuries in Latin America and Asia-Pacific countries.

Not available.

The environment and kidney health: challenges and opportunities.

The accelerating environmental degradation as a result of modernisation and climate change is an urgent threat to human health. Environment change can impact kidney health in a variety of ways such as water scarcity, global heating and changing biodiversity. Ever increasing industrialization of health care has a large carbon footprint, with dialysis being a major contributor. There have been calls for all stakeholders to adopt a 'one health approach' and develop mitigation and adaptation strategies to combat this challenge. Because of its exquisite sensitivity to various elements of environment change, kidney health can be a risk marker and a therapeutic target for such interventions. In this narrative review, we discuss the various mechanisms through which environmental change is linked to kidney health and the ways that the global kidney health communities can respond to environmental change.

The potential scalability of salt substitutes as an intervention to lower population sodium levels.

Reducing salt intake is one of the most cost-effective interventions to improve population health due to the subsequent reductions in blood pressure. Countries are introducing programs to lower salt consumption. Such programs usually focus on reducing salt in packaged foods and meals alongside campaigns to change consumer behavior. Thus, this paper provides an overview of the rationale for and evidence supporting the use of salt substitutes. Cur-rent approaches to salt reduction are insufficient, and more innovative solutions need to be identified. There is good evidence that salt substitutes, where some of the sodium is replaced with potassium, are effective to lower sodium total intake. The main challenge is to understand the pathways to market for salt substitutes. How do we implement programs to promote salt substitutes in different countries? What levels of government intervention are required? With more research and government investment, salt substitutes could be a game changer for increasing the impact of strategies to reduce population salt intake.

Going digital: opportunities and barriers in the use of technology for health research.

Digital health refers to the use of novel information com-munication technologies in healthcare. The use of these technologies could positively impact public health and health outcomes of populations by generating timely data, and facili-tating the process of data collection, analysis, and knowledge translation. Using selected case studies, we aim to describe the opportunities and barriers in the use of technology applied to health-related research. We focus on three areas: strategies to generate new data using novel data collection methods, strategies to use and analyze existing data, and using digital health for health-related interventions. Exemplars from seven countries are provided to illustrate activity across these areas. Although the use of health-related technologies is increasing, challenges remain to support their adoption and scale-up -especially for under-served populations. Research using digital health approaches should take a user-centered design, actively working with the population of interest to maximize their uptake and effectiveness.

Stroke care and collaborative academic research in Latin America.

OBJECTIVE: A narrative overview of regional academic research collaborations to address the increasing burden and gaps in care for patients at risk of, and who suffer from, stroke in Latin America (LA). MATERIALS AND METHODS: A summary of experiences and knowledge of the local situation is presented. No systematic literature review was performed. RESULTS: The rapidly increasing burden of stroke poses immense challenges in LA, where prevention and manage-ment strategies are highly uneven and inadequate. Clinical research is increasing through various academic consortia and networks formed to overcome structural, funding and skill barriers. However, strengthening the ability to generate, analyze and interpret randomized evidence is central to further develop effective therapies and healthcare systems in LA. CONCLUSIONS: Regional networks foster the conduct of multicenter studies -particularly randomized controlled trials-, even in resource-poor regions. They also contribute to the external validity of international studies and strengthen systems of care, clinical skills, critical thinking, and international knowledge exchange.