Health Systems & Implementation Science

Decentralized agricultural systems (DAS) are essential to food security for millions of people in low-resource settings, yet most existing contaminant monitoring frameworks have been designed for centralized supply chains. This paper proposes a structured framework for integrating contaminant monitoring into DAS by (1) mapping the diverse supply chain structures and stakeholders that constitute these systems; (2) analyzing stakeholder motivations, constraints, and value propositions for monitoring adoption; and (3) identifying efficient monitoring points where these value propositions align with product quality improvement. The framework is organized around four core principles: tiered monitoring matched to supply chain position and stakeholder capacity, monitoring at stakeholder handoff points rather than within individual segments, incentive structures that make monitoring self-sustaining, and capacity building and governance as durable infrastructure. The framework is illustrated through the case of maize and aflatoxin contamination in Guatemala. It remains a conceptual framework, however, and its principles are intended to be generalizable across crops, contaminants, and geographies rather than demonstrated to be so. Empirical validation across these dimensions remains a necessary next step. The central argument is that through this framework, small, strategically placed incentives at high-leverage points in decentralized supply chains can shift system-wide quality outcomes. This can occur without requiring top-down regulatory enforcement, which is often neither feasible nor effective in these contexts.

The HEARTS model (Healthy-lifestyle counseling, Evidence-based treatment protocols, Access to essential medicines and technologies, Risk-based management, Team-based care, and Systems for monitoring) is recommended by the World Health Organization and the Pan American Health Organization to improve primary care management of hypertension, diabetes, and other cardiovascular disease risk factors in national health systems. The objective of this study is to evaluate HEARTS implementation in the Ministry of Health primary care system in Guatemala, where a scale-up project covering approximately 10% of the country began in 2024. This is a prospective, observational evaluation using a hybrid type 3 effectiveness-implementation design with three sequential periods: pre-implementation, implementation, and maintenance. The six HEARTS-aligned multilevel implementation strategies are: (1) training and supportive supervision for health workers, (2) standardized treatment protocols, (3) strengthening availability of medications and diagnostics, (4) task sharing with non-physician health workers, (5) quality monitoring systems, and (6) patient engagement and community outreach. The evaluation is guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework. Co-primary outcomes are hypertension and diabetes treatment rates (Reach), estimated from MOH administrative data using a difference-in-differences approach comparing intervention districts with non-HEARTS comparator districts. Additional quantitative outcomes include treatment intensity and retention (Reach), disease control (Effectiveness), district-level uptake (Adoption), strategy-specific fidelity (Implementation), and sustainment of outcomes after external support concludes (Maintenance). To explain variation in quantitative outcomes, semi-structured interviews will be conducted with MOH staff, government officials, international advisors, and civil society stakeholders using an explanatory sequential mixed methods design. The study will include a cost-effectiveness analysis and budget impact analysis to inform policy decisions on scale-up and sustainability. This study will provide evidence on HEARTS implementation in Guatemala. Findings will inform decisions about national scale-up and contribute to the global evidence base on implementation of hypertension and diabetes management in primary care health systems. This study is registered on the Open Science Framework (https://osf.io/easm9).

To test the feasibility of a smartphone app, BebeApp, that provides evidence-based early childhood development (ECD) guidance in rural Guatemala and pilot procedures for an adequately powered randomised controlled trial. We conducted an individually randomised pilot feasibility trial to compare BebeApp to printed ECD guidance. This trial was conducted in Tecpán, Chimaltenango, a semi-rural community that is 95% Kaqchikel Indigenous Maya. First-time primary caregiver-infant (0-28 days) dyads. BebeApp provides age-dependent, evidence-based caregiver guidance for breastfeeding and complementary feeding, sleep and developmental support. A mixed-methods evaluation of BebeApp's implementation and acceptability using the Reach, Effectiveness, Adoption, Implementation, Maintenance framework. App usability, usefulness and satisfaction were assessed via questionnaires, semi-structured interviews and app interaction data. 41 infant-caregiver dyads were enrolled with 40 completing the study. Engagement was high with caregivers opening BebeApp a median (IQR) 11 (6-21) times per month. Usability was found to be acceptable but no difference was found between pre-measurements and post-measurements. In interviews, caregivers expressed some initial difficulty using BebeApp but were able to gain confidence with a training session. App usefulness and satisfaction responses were positive. Caregivers often noted that BebeApp was their only source of ECD information outside of their family. We found that caregivers in rural Guatemala responded positively to a smartphone ECD app and engaged with it throughout the trial. Given the urgent need for ECD programmes in low- and middle-income settings, smartphone apps may be a method to deliver services directly to caregivers.

Most countries in Latin America have committed to adopting HEARTS, PAHO's recommended approach for managing hypertension and diabetes in national primary care health systems. This study aimed to understand and refine a HEARTS pilot for scale-up in Guatemala. Team members conducted semi-structured interviews with 30 patients and health workers participating in a HEARTS pilot across 10 primary care facilities in Guatemala's Ministry of Health system. Researchers analyzed interviews using a combined inductive-deductive approach alongside the Tailored Implementation in Chronic Diseases framework and used convergent mixed methods to generate meta-inferences. Despite high feasibility and acceptability scores, health workers described tensions between HEARTS and competing responsibilities. Patients described rational navigation of an unreliable system, a more fitting explanation for low retention than noncompliance. Both patients and health workers understood HEARTS as another externally funded project with uncertain sustainability. Medication availability improved during the pilot, but district and facility-level incentive structures perpetuated supply unreliability. Greater absolute treatment gains for hypertension than for diabetes likely reflected health worker comfort and preexisting access to blood pressure monitoring supplies. Both patients and health workers identified education gaps. Integration of qualitative and quantitative findings suggested concrete scale-up refinements, including simplifying treatment protocols, strengthening diabetes components, focusing training on nurses, reforming central-level pharmaceutical supply policies, and securing high-level Ministry of Health commitments. A HEARTS pilot trial in Guatemala met pre-specified quantitative outcomes, but qualitative and mixed-methods approaches revealed key barriers. These findings will assist in refining HEARTS in Guatemala for planned national scale-up. ClinicalTrials.gov (NCT06080451).

To assess the cost of co-creating an adaptation of the International Guide for Monitoring Child Development (intervention for use by community health workers (CHWs)) in rural Guatemala and India. We developed survey instruments to capture the costs, from health-system and societal perspectives, of adapting the guide with local partners and international experts in the two sites. We included the costs of human resources, information technology, and infrastructure and logistic support. To improve the transparency and comparability of cost estimates, we reported the required resources for adaptation, such as time and expertise of human resources, and the quantity, function and usage time of the resources used. Adaptation of the guide took 14 months in India and 18 months in Guatemala during 2021-2022. Total costs by site were 38 174.57 United States dollars (US$) in Guatemala, US$ 39 287.15 in India and US$ 81 846.59 for international consultants. International consultants accounted for about half of the costs, and the Guatemala and India sites each accounted for about a quarter of the costs. Human resources were the largest contributor to the adaptation costs in both sites (90.1%; 34 398.20/38 174.57 in Guatemala and 94.8%; 37 262.74/39 287.15 in India) followed by infrastructure support and information technology. Since most of the required steps to adapt the guide for use by CHWs have now been done by our study, we expect future adaptation costs to be lower. The methods used in this study provide an example of how to cost intervention adaptations in the future. Évaluer le coût de la création conjointe d'une adaptation du Guide international d’observation du développement de l’enfant (intervention destinée aux agents de santé communautaire) dans les zones rurales du Guatemala et de l’Inde. Nous avons mis au point des outils d’enquête afin de recenser les coûts, d’un point de vue sociétal et du système de santé, liés à l’adaptation du guide en collaboration avec des partenaires locaux et des experts internationaux dans les deux pays. Nous avons pris en compte le coût des ressources humaines, de l’équipement informatique, de l’infrastructure et du soutien logistique. Afin d’améliorer la transparence et la comparabilité des estimations de coûts, nous avons énuméré les ressources nécessaires à l’adaptation, telles que le temps mis et l’expertise des ressources humaines, ainsi que la quantité, la fonction et la durée d’utilisation des ressources mobilisées. L’adaptation du guide a nécessité 14 mois en Inde et 18 mois au Guatemala sur la période 2021–2022. Les coûts totaux par pays étaient de 38 174,57 dollars américains (USD) au Guatemala, de 39 287,15 USD en Inde et de 81 846,59 USD pour les consultants internationaux. Ceux-ci représentaient environ la moitié des coûts, tandis que l’Inde et le Guatemala représentaient chacun environ un quart des coûts. Les ressources humaines représentaient le poste de dépenses principal dans les coûts d’adaptation dans les deux pays (90,1%; 34 398,20 / 38 174,57 au Guatemala et 94,8%; 37 262,74 / 39 287,15 en Inde), suivies de l’infrastructure et de l’équipement informatique. Dans la mesure où la plupart des étapes nécessaires à l’adaptation du guide à l’usage des agents de santé communautaire ont déjà été réalisées dans le cadre de notre étude, les futurs coûts d’adaptation devraient être inférieurs. Les méthodes appliquées dans la présente étude offrent un exemple de la façon de chiffrer le coût des adaptations d’interventions dans le futur. Evaluar el coste de la cocreación de una adaptación de la Guía Internacional para el Seguimiento del Desarrollo Infantil (intervención para su uso por trabajadores comunitarios de salud [TCS ]) en zonas rurales de Guatemala e India. Se desarrollaron instrumentos de encuesta para estimar los costes, desde las perspectivas del sistema sanitario y de la sociedad, de la adaptación de la guía con socios locales y expertos internacionales en ambos emplazamientos. Se incluyeron los costes de recursos humanos, tecnologías de la información y apoyo de infraestructura y logístico. Para mejorar la transparencia y la comparabilidad de las estimaciones de costes, se describieron los recursos necesarios para la adaptación, como el tiempo y la experiencia del personal, así como la cantidad, la función y el tiempo de uso de los recursos utilizados. La adaptación de la guía requirió 14 meses en India y 18 meses en Guatemala durante el periodo 2021-2022. Los costes totales por emplazamiento fueron de 38 174,57 dólares de los Estados Unidos (US$) en Guatemala, US$ 39 287,15 en India y US$ 81 846,59 correspondientes a consultores internacionales. Los consultores internacionales representaron aproximadamente la mitad de los costes, mientras que los emplazamientos de Guatemala e India representaron cada uno alrededor de una cuarta parte. Los recursos humanos constituyeron el principal componente de los costes de adaptación en ambos emplazamientos (90,1%; 34 398,20/38 174,57 en Guatemala y 94,8%; 37 262,74/39 287,15 en India), seguidos del apoyo a la infraestructura y de las tecnologías de la información. Dado que la mayoría de las etapas necesarias para adaptar la guía para su uso por trabajadores comunitarios de salud ya se han llevado a cabo en este estudio, se espera que los costes de adaptación futuros sean menores. Los métodos utilizados en este estudio proporcionan un ejemplo de cómo estimar los costes de adaptaciones de intervenciones en el futuro. تقييم تكلفة المشاركة في إنشاء نسخة مُعدّلة من الدليل الدولي لرصد نمو الطفل (تدخل لاستخدامها بواسطة العاملين في مجال الصحة المجتمعية (CHW) في المناطق الريفية في غواتيمالا والهند. قمنا بتطوير أدوات للمسح لرصد تكاليف تكييف الدليل، من منظور النظام الصحي والمنظور المجتمعي، بالتعاون مع شركاء محليين وخبراء دوليين في الموقعين. وقمنا بتضمين تكاليف الموارد البشرية، وتكنولوجيا المعلومات، والبنية التحتية، والدعم اللوجستي. ولتحسين شفافية تقديرات التكلفة وقابلية مقارنتها، قمنا بإعداد تقارير عن الموارد المطلوبة للتكييف، مثل وقت وخبرة الموارد البشرية، وكمية الموارد المستخدمة ووظيفتها ومدة استخدامها. استغرق تكييف الدليل 14 شهرًا في الهند و18 شهرًا في غواتيمالا خلال الفترة من 2021 إلى 2022. وبلغت التكاليف الإجمالية حسب الموقع 38174.57 دولارًا أمريكيًا في غواتيمالا، و39287.15 دولارًا أمريكيًا في الهند، و81846.59 دولارًا أمريكيًا للاستشاريين الدوليين. شكل الاستشاريون الدوليون حوالي نصف التكاليف، بينما شكلت تكاليف كل من غواتيمالا والهند حوالي ربع التكاليف. كانت الموارد البشرية المساهم الأكبر في تكاليف التكييف في كلا الموقعين (%90.1؛ 34398.20/38174.57 في غواتيمالا، و%94.8؛ 37262.74/39287.15 في الهند)، يليها دعم البنية التحتية وتكنولوجيا المعلومات. نظرًا لأن معظم الخطوات المطلوبة لتكييف الدليل لاستخدامه بواسطة العاملين في مجال الصحة المجتمعية، قد تم إنجازها في دراستنا، فإننا نتوقع انخفاض تكاليف التكييف المستقبلية. تقدم الأساليب المستخدمة في هذه الدراسة مثالًا على كيفية حساب تكاليف تكييف التدخلات في المستقبل. 旨在评估共同制定《儿童发展监测国际指南》改编版本【供危地马拉和印度农村地区的社区卫生工作者 (CHW) 采取干预措施时使用】所需成本。. 我们开发了调查工具，以从卫生系统和社会的角度计算在这两个国家聘请当地合作伙伴和国际专家改编指南所需成本。我们将人力资源成本、信息技术成本以及基础设施和后勤支助成本全部计算在内。为了提升成本估计的透明度和可比性，我们报告了改编指南所需资源（例如人力资源方面的时间投入和专门知识投入）以及所用资源的数量、功能和使用时间。. 在 2021-2022 年期间，印度和危地马拉分别历时 14 个月和 18 个月完成了指南改编工作。按现场划分算得的总成本分别为 38,174.57 美元（危地马拉）、39287.15 美元（印度）和 81846.59 美元（聘请国际顾问的花费）。聘请国际顾问的花费约占成本的一半，而危地马拉和印度两个现场的支出分别约占成本的四分之一。在两国改编成本中，占比最大的都是人力资源支出（在危地马拉占 90.1%，即 34398.20/38174.57；在印度占 94.8%，即 37262.74/39287.15），其次是在基础设施支助和信息技术方面的支出。. 由于我们现已在开展研究的过程中完成了大部分指南改编（以供 CHW 使用）相关必要步骤，我们预计未来的改编成本将会降低。我们在本次研究中所用方法为未来如何计算干预措施改编成本提供了范例。. Оценить затраты на совместное создание адаптированной версии Международного руководства по мониторингу развития детей (предназначенного для использования общинными медико-санитарными работниками (ОМСР) в сельских районах Гватемалы и Индии). Авторы разработали опросники, чтобы определить затраты (с точки зрения системы здравоохранения и общества) на адаптацию руководства с привлечением местных партнеров и международных экспертов в двух странах. В расчет включались затраты на кадровые ресурсы, информационные технологии, инфраструктуру и материально-техническую поддержку. Чтобы повысить прозрачность и обеспечить сравнимость оценок затрат, авторы представили данные о требуемых для адаптации ресурсах, таких как время, квалификация кадровых ресурсов, количество, функциональное назначение и время использования каждого из ресурсов. Адаптация руководства заняла 14 месяцев в Индии и 18 месяцев в Гватемале на протяжении 2021–2022 годов. Общие затраты составили 38 174,57 доллара США для Гватемалы, 39 287,15 доллара США для Индии и 81 846,59 доллара США на международных консультантов. Почти половина расходов пришлась на международных консультантов, а расходы на местах в Гватемале и Индии составили примерно по четверти от общей суммы. Наибольшая доля затрат в обеих странах пришлась на оплату кадровых ресурсов (90,1%, 34 398,20/38 174,57 доллара США в Гватемале и 94,8%, 37 262,74/39 287,15 доллара США в Индии), за которыми следовали инфраструктурная поддержка и информационные технологии. Поскольку большая часть шагов для адаптации руководства к использованию ОМСР была выполнена в ходе описываемого исследования, авторы полагают, что впредь затраты на адаптацию будут ниже. Методы, использованные в данном исследовании, служат примером того, каким образом оценивать затраты на адаптацию мер в будущем.

BACKGROUND: In Guatemala, childhood vaccination rates, particularly in Indigenous communities, are low due to inaccessible information and mistrust. Using a human-centered design (HCD) process with community partners, we developed CLAVE (Culturally and Linguistically Appropriate Vaccine Education), a video series on routine and human papillomavirus (HPV) immunization in Kaqchikel, K’iche’, and Spanish. Content was distributed via social media and through community health workers (CHWs). This study describes the instructional design process and assesses implementation feasibility through community-level measures of reach and engagement and acceptability among CHWs across 12 communities in the Central Highlands of Guatemala. METHOD: To develop content, we applied an HCD framework and collected iterative feedback from communities through 16 CHW interviews and nine focus group discussions with 42 community members. We implemented CLAVE in 12 communities, with four communities randomly assigned in parallel to each arm: (1) a six-week, geographically targeted social media campaign promoting CLAVE videos; (2) the same social media campaign plus CLAVE videos and complementary digital infographic job aids provided to CHWs; and (3) a control arm with no exposure to CLAVE videos or the CHW intervention. Platform analytics were used to assess the reach and engagement potential on social media, and CHW survey data were used to assess acceptability of content among CHWs. RESULTS: The CLAVE campaign reached 486,594 unique social media platform users, with over 4.1 million impressions and a high overall engagement rate reflecting multiple user interactions with content. Spanish and Kaqchikel versions reached the largest audiences, while K’iche’ content generated proportionally higher engagement and viewing rates, suggesting stronger interaction among smaller language audiences. Vaccine acceptance was high across all CHWs. Amid a high baseline, the intervention was not associated with significant differences in CHWs’ perceptions of the efficacy or importance of routine childhood vaccination or HPV vaccination, nor with knowledge measures. However, CHWs receiving CLAVE content directly were more likely to strongly agree that the HPV vaccine is safe (p < 0.05). CHWs reported high perceived usefulness and frequent utilization of CLAVE content. CONCLUSIONS: This pilot suggests that geographically targeted paid social media distribution of community-engaged, multilingual vaccine education content can achieve broad exposure, and that pairing videos with job aids can support CHW vaccine education efforts. REGISTRY: ClinicalTrials.gov, TRN: NCT06186206, Registration date: 05 January 2024.

To assess human papillomavirus (HPV) vaccine awareness and uptake among caregivers in rural Indigenous communities in Guatemala and to identify sociodemographic predictors of vaccine unawareness and non-uptake. This cross-sectional survey was conducted across 12 rural Indigenous communities in Guatemala's Central Highlands. Using a community-engaged research approach, trained multilingual health workers administered surveys in Spanish, Kaqchikel or K'iche'. Eligible participants were adults who served as primary caregivers to children. The survey assessed HPV vaccine awareness, vaccine attitudes and uptake among those with daughters aged 8 or older. Logistic regression was used to examine predictors of vaccine unawareness and bivariate analysis explored differences in vaccine uptake. Among 602 participants (92.5% identified as Indigenous), 95% expressed willingness to vaccinate a child against cervical cancer, yet only 56% had heard of the HPV vaccine. Of the 175 participants with eligible daughters, only 33.7% reported vaccination. Indigenous identity, older age and illiteracy were significantly associated with HPV vaccine unawareness. Speaking an Indigenous language at home was associated with greater awareness. Departmental differences were significant: participants from Sololá were more likely to be unaware of the vaccine, while those from Sacatepéquez had higher awareness and uptake. Community partners noted that access to information, geographic connectivity and social desirability may influence both awareness and response accuracy. Despite strong willingness to vaccinate, significant knowledge gaps persist among Indigenous caregivers. Tailored, community-informed education strategies-delivered through trusted channels and adapted linguistically and culturally-are urgently needed to increase awareness and uptake of the HPV vaccine in underserved Guatemalan communities.

Chronic kidney disease (CKD) is common and ranks among the leading causes of mortality and morbidity. This analysis aimed to present global CKD estimates using the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 to inform evidence-based policies for CKD identification and treatment. This analysis focused on adults aged 20 years and older over the period 1990 to 2023, from 204 countries and territories. Data sources used were published literature, vital registration systems, kidney failure treatment registries, and household surveys. Estimates of CKD burden, including deaths, incidence, prevalence, and disability-adjusted life-years (DALYs), were produced using a Cause of Death Ensemble model and a Bayesian meta-regression analytical tool. A comparative risk assessment approach estimated the proportion of cardiovascular deaths attributable to impaired kidney function and estimated risk factors for CKD. Globally, in 2023, 788 million (95% uncertainty interval 743-843) people aged 20 years and older were estimated to have CKD, up from 378 million (354-407) in 1990. The global age-standardised prevalence of CKD in adults was 14·2% (13·4-15·2), a relative rise of 3·5% (2·7-4·1) from 1990. The region with the highest age-standardised prevalence was north Africa and the Middle East (18·0%; 16·9-19·4). Most people had stage 1-3 CKD, with a combined prevalence of 13·9% (13·1-15·0). In 2023, CKD was the ninth leading cause of death globally, accounting for 1·48 million (1·30-1·65) deaths, and the 12th leading cause of DALYs, with an age-standardised DALY rate of 769·2 (691·8-857·4) per 100 000. Impaired kidney function as a risk factor accounted for 11·5% (8·4-14·5) of cardiovascular deaths. High fasting plasma glucose, body-mass index, and systolic blood pressure were all leading risk factors for CKD DALYs. CKD is a major global health issue, with rising prevalence and increasing importance as a cause of death and as a risk factor for cardiovascular death. A better understating of aetiology, appropriate screening, and implementation programmes are needed to translate advances in CKD treatment into improved patient outcomes. Gates Foundation, Wellcome, US National Kidney Foundation, and US National Institute of Diabetes and Digestive and Kidney Diseases.

For more than three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has provided a framework to quantify health loss due to diseases, injuries, and associated risk factors. This paper presents GBD 2023 findings on disease and injury burden and risk-attributable health loss, offering a global audit of the state of world health to inform public health priorities. This work captures the evolving landscape of health metrics across age groups, sexes, and locations, while reflecting on the remaining post-COVID-19 challenges to achieving our collective global health ambitions. The GBD 2023 combined analysis estimated years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 375 diseases and injuries, and risk-attributable burden associated with 88 modifiable risk factors. Of the more than 310 000 total data sources used for all GBD 2023 (about 30% of which were new to this estimation round), more than 120 000 sources were used for estimation of disease and injury burden and 59 000 for risk factor estimation, and included vital registration systems, surveys, disease registries, and published scientific literature. Data were analysed using previously established modelling approaches, such as disease modelling meta-regression version 2.1 (DisMod-MR 2.1) and comparative risk assessment methods. Diseases and injuries were categorised into four levels on the basis of the established GBD cause hierarchy, as were risk factors using the GBD risk hierarchy. Estimates stratified by age, sex, location, and year from 1990 to 2023 were focused on disease-specific time trends over the 2010-23 period and presented as counts (to three significant figures) and age-standardised rates per 100 000 person-years (to one decimal place). For each measure, 95% uncertainty intervals [UIs] were calculated with the 2·5th and 97·5th percentile ordered values from a 250-draw distribution. Total numbers of global DALYs grew 6·1% (95% UI 4·0-8·1), from 2·64 billion (2·46-2·86) in 2010 to 2·80 billion (2·57-3·08) in 2023, but age-standardised DALY rates, which account for population growth and ageing, decreased by 12·6% (11·0-14·1), revealing large long-term health improvements. Non-communicable diseases (NCDs) contributed 1·45 billion (1·31-1·61) global DALYs in 2010, increasing to 1·80 billion (1·63-2·03) in 2023, alongside a concurrent 4·1% (1·9-6·3) reduction in age-standardised rates. Based on DALY counts, the leading level 3 NCDs in 2023 were ischaemic heart disease (193 million [176-209] DALYs), stroke (157 million [141-172]), and diabetes (90·2 million [75·2-107]), with the largest increases in age-standardised rates since 2010 occurring for anxiety disorders (62·8% [34·0-107·5]), depressive disorders (26·3% [11·6-42·9]), and diabetes (14·9% [7·5-25·6]). Remarkable health gains were made for communicable, maternal, neonatal, and nutritional (CMNN) diseases, with DALYs falling from 874 million (837-917) in 2010 to 681 million (642-736) in 2023, and a 25·8% (22·6-28·7) reduction in age-standardised DALY rates. During the COVID-19 pandemic, DALYs due to CMNN diseases rose but returned to pre-pandemic levels by 2023. From 2010 to 2023, decreases in age-standardised rates for CMNN diseases were led by rate decreases of 49·1% (32·7-61·0) for diarrhoeal diseases, 42·9% (38·0-48·0) for HIV/AIDS, and 42·2% (23·6-56·6) for tuberculosis. Neonatal disorders and lower respiratory infections remained the leading level 3 CMNN causes globally in 2023, although both showed notable rate decreases from 2010, declining by 16·5% (10·6-22·0) and 24·8% (7·4-36·7), respectively. Injury-related age-standardised DALY rates decreased by 15·6% (10·7-19·8) over the same period. Differences in burden due to NCDs, CMNN diseases, and injuries persisted across age, sex, time, and location. Based on our risk analysis, nearly 50% (1·27 billion [1·18-1·38]) of the roughly 2·80 billion total global DALYs in 2023 were attributable to the 88 risk factors analysed in GBD. Globally, the five level 3 risk factors contributing the highest proportion of risk-attributable DALYs were high systolic blood pressure (SBP), particulate matter pollution, high fasting plasma glucose (FPG), smoking, and low birthweight and short gestation-with high SBP accounting for 8·4% (6·9-10·0) of total DALYs. Of the three overarching level 1 GBD risk factor categories-behavioural, metabolic, and environmental and occupational-risk-attributable DALYs rose between 2010 and 2023 only for metabolic risks, increasing by 30·7% (24·8-37·3); however, age-standardised DALY rates attributable to metabolic risks decreased by 6·7% (2·0-11·0) over the same period. For all but three of the 25 leading level 3 risk factors, age-standardised rates dropped between 2010 and 2023-eg, declining by 54·4% (38·7-65·3) for unsafe sanitation, 50·5% (33·3-63·1) for unsafe water source, and 45·2% (25·6-72·0) for no access to handwashing facility, and by 44·9% (37·3-53·5) for child growth failure. The three leading level 3 risk factors for which age-standardised attributable DALY rates rose were high BMI (10·5% [0·1 to 20·9]), drug use (8·4% [2·6 to 15·3]), and high FPG (6·2% [-2·7 to 15·6]; non-significant). Our findings underscore the complex and dynamic nature of global health challenges. Since 2010, there have been large decreases in burden due to CMNN diseases and many environmental and behavioural risk factors, juxtaposed with sizeable increases in DALYs attributable to metabolic risk factors and NCDs in growing and ageing populations. This long-observed consequence of the global epidemiological transition was only temporarily interrupted by the COVID-19 pandemic. The substantially decreasing CMNN disease burden, despite the 2008 global financial crisis and pandemic-related disruptions, is one of the greatest collective public health successes known. However, these achievements are at risk of being reversed due to major cuts to development assistance for health globally, the effects of which will hit low-income countries with high burden the hardest. Without sustained investment in evidence-based interventions and policies, progress could stall or reverse, leading to widespread human costs and geopolitical instability. Moreover, the rising NCD burden necessitates intensified efforts to mitigate exposure to leading risk factors-eg, air pollution, smoking, and metabolic risks, such as high SBP, BMI, and FPG-including policies that promote food security, healthier diets, physical activity, and equitable and expanded access to potential treatments, such as GLP-1 receptor agonists. Decisive, coordinated action is needed to address long-standing yet growing health challenges, including depressive and anxiety disorders. Yet this can be only part of the solution. Our response to the NCD syndemic-the complex interaction of multiple health risks, social determinants, and systemic challenges-will define the future landscape of global health. To ensure human wellbeing, economic stability, and social equity, global action to sustain and advance health gains must prioritise reducing disparities by addressing socioeconomic and demographic determinants, ensuring equitable health-care access, tackling malnutrition, strengthening health systems, and improving vaccination coverage. We live in times of great opportunity. Gates Foundation and Bloomberg Philanthropies.

Neonatal mortality remains a significant equity issue in rural Indigenous communities of Guatemala, where structural barriers and systemic discrimination impede access to quality newborn care. This field report describes a novel community-based initiative implemented by Maya Health Alliance, an Indigenous-lead NGO, to address high neonatal mortality in Maya Kaqchikel communities through a quality improvement (QI) framework. The intervention centers on home-based neonatal care delivered by trained Neonatal Technicians (NTs), supported by a co-designed smartphone application enabling early identification of neonatal danger signs, clinical decision-making, and data collection. The initiative also leverages a culturally responsive referral and patient navigation system to overcome humanistic barriers to care. Designed using QI methodology, the project applies iterative cycles to track key performance indicators such as perinatal and neonatal mortality rates, referral success rates, and the proportion of newborns receiving timely home evaluations. Since launching in 2024, the program has reached 85% of reported newborns, increased referral rates, and engaged local midwives and health staff through ongoing training and co-design efforts. However, challenges have emerged, including high prevalence of low birth weight, limitations in local hospital capacity, and discriminatory care at facilities that discourage families from accepting referrals. The intervention centers Indigenous practices by positioning TMMs at the frontline and adapting protocols to the communities' lived realities. This initiative demonstrates the potential for culturally embedded, digitally supported, and equity-focused QI interventions to improve neonatal outcomes in resource-limited Indigenous settings. Future efforts will focus on expanding staff capacity, deepening community trust, and strengthening health system partnerships. Main findings: A community-based neonatal health program that integrates traditional Maya practices, home visits, and digital decision support in rural Guatemala has improved detection of at-risk newborns and referral rates.Added knowledge: This study highlights the feasibility of combining culturally tailored care, mHealth tools, and accompaniment in Indigenous settings, while documenting significant barriers rooted in structural inequities and cultural distrust.Global health impact for policy and action: Scaling such integrated models may strengthen neonatal care in marginalized communities, but it requires systemic reforms, investment in local health systems, and respect for cultural autonomy.

Cancer is a leading cause of death globally. Accurate cancer burden information is crucial for policy planning, but many countries do not have up-to-date cancer surveillance data. To inform global cancer-control efforts, we used the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 framework to generate and analyse estimates of cancer burden for 47 cancer types or groupings by age, sex, and 204 countries and territories from 1990 to 2023, cancer burden attributable to selected risk factors from 1990 to 2023, and forecasted cancer burden up to 2050. Cancer estimation in GBD 2023 used data from population-based cancer registration systems, vital registration systems, and verbal autopsies. Cancer mortality was estimated using ensemble models, with incidence informed by mortality estimates and mortality-to-incidence ratios (MIRs). Prevalence estimates were generated from modelled survival estimates, then multiplied by disability weights to estimate years lived with disability (YLDs). Years of life lost (YLLs) were estimated by multiplying age-specific cancer deaths by the GBD standard life expectancy at the age of death. Disability-adjusted life-years (DALYs) were calculated as the sum of YLLs and YLDs. We used the GBD 2023 comparative risk assessment framework to estimate cancer burden attributable to 44 behavioural, environmental and occupational, and metabolic risk factors. To forecast cancer burden from 2024 to 2050, we used the GBD 2023 forecasting framework, which included forecasts of relevant risk factor exposures and used Socio-demographic Index as a covariate for forecasting the proportion of each cancer not affected by these risk factors. Progress towards the UN Sustainable Development Goal (SDG) target 3.4 aim to reduce non-communicable disease mortality by a third between 2015 and 2030 was estimated for cancer. In 2023, excluding non-melanoma skin cancers, there were 18·5 million (95% uncertainty interval 16·4 to 20·7) incident cases of cancer and 10·4 million (9·65 to 10·9) deaths, contributing to 271 million (255 to 285) DALYs globally. Of these, 57·9% (56·1 to 59·8) of incident cases and 65·8% (64·3 to 67·6) of cancer deaths occurred in low-income to upper-middle-income countries based on World Bank income group classifications. Cancer was the second leading cause of deaths globally in 2023 after cardiovascular diseases. There were 4·33 million (3·85 to 4·78) risk-attributable cancer deaths globally in 2023, comprising 41·7% (37·8 to 45·4) of all cancer deaths. Risk-attributable cancer deaths increased by 72·3% (57·1 to 86·8) from 1990 to 2023, whereas overall global cancer deaths increased by 74·3% (62·2 to 86·2) over the same period. The reference forecasts (the most likely future) estimate that in 2050 there will be 30·5 million (22·9 to 38·9) cases and 18·6 million (15·6 to 21·5) deaths from cancer globally, 60·7% (41·9 to 80·6) and 74·5% (50·1 to 104·2) increases from 2024, respectively. These forecasted increases in deaths are greater in low-income and middle-income countries (90·6% [61·0 to 127·0]) compared with high-income countries (42·8% [28·3 to 58·6]). Most of these increases are likely due to demographic changes, as age-standardised death rates are forecast to change by -5·6% (-12·8 to 4·6) between 2024 and 2050 globally. Between 2015 and 2030, the probability of dying due to cancer between the ages of 30 years and 70 years was forecasted to have a relative decrease of 6·5% (3·2 to 10·3). Cancer is a major contributor to global disease burden, with increasing numbers of cases and deaths forecasted up to 2050 and a disproportionate growth in burden in countries with scarce resources. The decline in age-standardised mortality rates from cancer is encouraging but insufficient to meet the SDG target set for 2030. Effectively and sustainably addressing cancer burden globally will require comprehensive national and international efforts that consider health systems and context in the development and implementation of cancer-control strategies across the continuum of prevention, diagnosis, and treatment. Gates Foundation, St Jude Children's Research Hospital, and St Baldrick's Foundation.

The World Health Organization HEARTS Technical Package is a widely implemented global initiative to improve the primary care management of cardiovascular disease risk factors. The study's objective is to report outcomes from a pilot implementation trial of integrated hypertension and diabetes management based on the HEARTS model in Guatemala. We conducted a single-arm pilot implementation trial over six months from October 2023 to May 2024 in 11 Guatemalan Ministry of Health primary care facilities in two districts. The pilot evaluated a package of five HEARTS-aligned implementation strategies to improve the pharmacological treatment of hypertension and diabetes. The primary outcomes were feasibility and acceptability, measured through 20 structured interviews with Ministry of Health employees and by examining enrolment and retention data. Secondary outcomes included a suite of implementation and clinical outcomes, including treatment rates. When baseline data were available, we analyzed secondary outcomes as the net change from baseline or using an interrupted time series approach. The study enrolled 964 patients, of whom 58.8% had hypertension only, 30.4% had diabetes only, and 10.8% had both conditions. Surveys on feasibility and acceptability among Ministry of Health staff had a median score of 5.0 (IQR: 5.0 to 5.0) and 5.0 (IQR range: 4.8 to 5.0), respectively, exceeding the prespecified benchmark of ≥3.5. Both districts achieved the prespecified benchmark of enrolling ≥25 hypertension patients and ≥25 diabetes patients. Only 36% of patients attended a follow-up visit within three months, lower than the prespecified benchmark of ≥75%. Monthly treatment rates during the pilot increased by 22.3 (95% CI: 16.2 to 28.4; P < 0.001) and 3.5 (95% CI: -1.6 to 8.7; P = 0.17) patients per month for hypertension and diabetes, respectively. Implementation of an integrated hypertension and diabetes model based on HEARTS was generally feasible and acceptable in the Ministry of Health in Guatemala. Findings can refine national scale-up in Guatemala and inform HEARTS implementation projects in other settings.

This paper introduces a novel approach to address the challenges associated with transferring blood pressure (BP) data obtained from oscillometric devices used in self-measured BP monitoring systems to integrate this data into medical health records or a proxy database accessible by clinicians, particularly in low literacy populations. To this end, we developed an automated image transcription technique to effectively transcribe readings from BP devices, ultimately enhancing the accessibility and usability of BP data for monitoring and managing BP during pregnancy and the postpartum period, particularly in low-resource settings and low-literate populations. In the designed study, the photos of the BP devices were captured as part of perinatal mobile health (mHealth) monitoring programs, conducted in four studies across two countries. The Guatemala Set 1 and Guatemala Set 2 datasets include the data captured by a cohort of 49 lay midwives from 1697 and 584 pregnant women carrying singletons in the second and third trimesters in rural Guatemala during routine screening. Additionally, we designed an mHealth system in Georgia for postpartum women to monitor and report their BP at home with 23 and 49 African American participants contributing to the Georgia I3 and Georgia IMPROVE projects, respectively. We developed a deep learning-based model which operates in two steps: LCD localization using the You Only Look Once (YOLO) object detection model and digit recognition using a convolutional neural network-based model capable of recognizing multiple digits. We applied color correction and thresholding techniques to minimize the impact of reflection and artifacts. Three experiments were conducted based on the devices used for training the digit recognition model. Overall, our results demonstrate that the device-specific model with transfer learning and the device independent model outperformed the device-specific model without transfer learning. The mean absolute error (MAE) of image transcription on held-out test datasets using the device-independent digit recognition were 1.2 and 0.8 mmHg for systolic and diastolic BP in the Georgia IMPROVE and 0.9 and 0.5 mmHg in Guatemala Set 2 datasets. The MAE, far below the FDA recommendation of 5 mmHg, makes the proposed automatic image transcription model suitable for general use when used with appropriate low-error BP devices.

The World Health Organization HEARTS Technical Package is a widely implemented global initiative to improve the primary care management of cardiovascular disease risk factors. The study's objective is to report outcomes from a pilot implementation trial of integrated hypertension and diabetes management based on the HEARTS model in Guatemala. We conducted a single-arm pilot implementation trial over 6 months from October 2023 to May 2024 in 11 Guatemalan Ministry of Health primary care facilities in two districts. The pilot evaluated a package of five HEARTS-aligned implementation strategies to improve the pharmacological treatment of hypertension and diabetes. The primary outcomes were feasibility and acceptability, measured through 20 structured interviews with Ministry of Health employees and by examining enrollment and retention. Secondary outcomes included a suite of implementation and clinical outcomes, including treatment rate. The study enrolled 964 patients, of whom 58.8% had hypertension only, 30.4% had diabetes only, and 10.8% had both conditions. Surveys on feasibility and acceptability among Ministry of Health staff had a median score of 5.0 (IQR: 5.0 to 5.0) and 5.0 (IQR range: 4.8 to 5.0), respectively, exceeding the prespecified benchmark of ≥3.5. Both districts achieved the prespecified benchmark of enrolling ≥25 hypertension patients and ≥25 diabetes patients. Only 36% of patients attended a follow-up visit within three months, lower than the prespecified benchmark of ≥75%. M treatment rates during the pilot increased by 22.3 (95% CI: 16.2 to 28.4; P<0.001) and 3.5 (95% CI: -1.6 to 8.7; P=0.17) patients per month for hypertension and diabetes, respectively. Implementation of an integrated hypertension and diabetes model based on HEARTS was generally feasible and acceptable in the Ministry of Health in Guatemala. Findings can refine national scale-up in Guatemala and inform HEARTS implementation projects in other settings.

There is little evidence on optimizing the effectiveness and implementation of evidence-based early childhood development (ECD) interventions when task-shifted to frontline workers. In this Methods Forum paper, we describe our adaptation of the International Guide for Monitoring Child Development (GMCD) for task-shifting to frontline workers in Guatemala and India. In 2021-2022, implementers, trainers, frontline workers, caregivers, and international GMCD experts collaborated to adapt the GMCD for a task shifted implementation by frontline workers. We used an eight-step co-creating process: assembling a multidisciplinary team, training on the existing package, working groups to begin modifications, revision of draft modifications, tailoring of visual materials and language, train-the-trainers activities, pilot frontline worker trainings, final review and feedback. Preliminary effectiveness of adaptations was evaluated through narrative notes and group-based qualitative feedback following pilot trainings with 16 frontline workers in India and 6 in Guatemala. Final adaptations included: refining training techniques to match skill levels and learning styles of frontline workers; tailoring all visual materials to local languages and contexts; design of job aids for providing developmental support messages; modification of referral and triage processes for children in need of enhanced support and speciality referral; and creation of post-training support procedures. Feedback from pilot trainings included: (1) group consensus that training improved ECD skills and knowledge across multiple domains; and (2) feedback on ongoing needed adjustments to pacing, use of video-based vs. role-playing materials, and time allocated to small group work. We use the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS) framework to document our adaptations. The co-creating approach we use, as well as systematic documentation of adaptation decisions will be of use to other community-based early childhood interventions and implementation strategies. Main findings: The International Guide for Monitoring Child Development, an early childhood development support and monitoring tool, was successfully adapted for use by frontline workers in rural India and Guatemala.Added knowledge: Our Methods Forum paper uses a detailed framework to document the collaborative, co-creating process used and the adaptive decisions taken.Global health impact for policy and action: Evidence on how best to adapt and optimize early childhood interventions for frontline workers will be useful or scaling up support for children globally.

The HEARTS technical package was developed by the World Health Organization to address the implementation gap in cardiovascular disease prevention in low- and middle-income countries. Guatemala is a middle-income country that is currently implementing HEARTS. National authorities in Guatemala are interested in exploring how hypertension and diabetes management can be integrated in HEARTS implementation. The objective of this study is to conduct a feasibility and acceptability pilot trial of integrated hypertension and diabetes management based on HEARTS in the publicly funded primary care system in Guatemala. A single-arm pilot trial for 6 months will be carried out in 11 Ministry of Health primary care facilities starting in September 2023. A planned sample of 100 adult patients diagnosed with diabetes (n = 45), hypertension (n = 45), or both (n = 10) will be enrolled. The intervention will consist of HEARTS-aligned components: Training health workers on healthy-lifestyle counseling and evidence-based treatment protocols, strengthening access to medications and diagnostics, training on risk-based cardiovascular disease management, team-based care and task sharing, and systems monitoring and feedback, including implementation of a facility-based electronic monitoring tool at the individual level. Co-primary outcomes of feasibility and acceptability will be assessed using an explanatory sequential mixed-methods design. Secondary outcomes include clinical effectiveness (treatment with medication, glycemic control, and blood pressure control), key implementation outcomes (adoption, fidelity, usability, and sustainability), and patient-reported outcome measures (diabetes distress, disability, and treatment burden). Using an implementation mapping approach, a Technical Advisory Committee will develop implementation strategies for subsequent scale-up planning. This trial will produce evidence on implementing HEARTS-aligned hypertension and diabetes care in the MOH primary care system in Guatemala. Results also will inform future HEARTS projects in Guatemala and other low- and middle-income countries. ClinicalTrials.gov ID NCT06080451. The trial was prospectively registered on October 12, 2023.

Aspirin is an effective and low-cost option for reducing atherosclerotic cardiovascular disease (CVD) events and improving mortality rates among individuals with established CVD. To guide efforts to mitigate the global CVD burden, there is a need to understand current levels of aspirin use for secondary prevention of CVD. To report and evaluate aspirin use for secondary prevention of CVD across low-, middle-, and high-income countries. Cross-sectional analysis using pooled, individual participant data from nationally representative health surveys conducted between 2013 and 2020 in 51 low-, middle-, and high-income countries. Included surveys contained data on self-reported history of CVD and aspirin use. The sample of participants included nonpregnant adults aged 40 to 69 years. Countries' per capita income levels and world region; individuals' socioeconomic demographics. Self-reported use of aspirin for secondary prevention of CVD. The overall pooled sample included 124 505 individuals. The median age was 52 (IQR, 45-59) years, and 50.5% (95% CI, 49.9%-51.1%) were women. A total of 10 589 individuals had a self-reported history of CVD (8.1% [95% CI, 7.6%-8.6%]). Among individuals with a history of CVD, aspirin use for secondary prevention in the overall pooled sample was 40.3% (95% CI, 37.6%-43.0%). By income group, estimates were 16.6% (95% CI, 12.4%-21.9%) in low-income countries, 24.5% (95% CI, 20.8%-28.6%) in lower-middle-income countries, 51.1% (95% CI, 48.2%-54.0%) in upper-middle-income countries, and 65.0% (95% CI, 59.1%-70.4%) in high-income countries. Worldwide, aspirin is underused in secondary prevention, particularly in low-income countries. National health policies and health systems must develop, implement, and evaluate strategies to promote aspirin therapy.

Mental health (MH) disorders are major causes of disability in Guatemala. Unfortunately, limited academic training and funding resources make MH care inaccessible to most people in rural Guatemala. These disparities leave many indigenous populations without care. Project ECHO™ is an educational model used globally to deliver virtual training for providers in rural/ underserved communities. The aim of this project was to implement and evaluate a Project ECHO™ program bridging MH training gaps for providers who serve rural communities in Guatemala. The Project ECHO™ curriculum was implemented through a partnership between educational and nonprofit institutions in Guatemala City and the United States. Participants were primary care physicians and nurses working in rural Guatemala as well as medical/nursing/psychology students. Evaluation of its implementation was guided by a RE-AIM framework. Reach, effectiveness, adoption, fidelity, sustainability, acceptability, feasibility, and appropriateness were evaluated using a mixed-methods approach, using a pre-post survey and semi-structured focus groups. Forty unique participants attended the five sessions. Attitudes about mental health did not change quantitatively but self-efficacy improved in four of five modules. High quality fidelity scores were noted in two of five sessions. Sustainability scores across multiple domains were highly rated. Scores on instruments measuring acceptability, feasibility, and appropriateness were high. Focus groups showed two main themes: the curriculum filled a gap in education and further adaptation of the model might help improve the experience. Implementation of the Project ECHO™ educational model appeared to have good reach/adoption, showed improvements in self-efficacy, illuminated facilitators and barriers to sustainability, and was felt to be acceptable, feasible, and appropriate. Qualitative analysis supported these conclusions. Future directions would include ongoing evaluation and monitoring of further Project ECHO™ curricular experiences through this partnership and adaptation of this project to other learners and settings in Latin America.

As of July 2022, a little over one-third of Guatemalans were fully vaccinated. While COVID-19 vaccination rates are not officially reported nationally by racial/ethnic groups, non-governmental organisations and reporters have observed that COVID-19 vaccination rates are especially low among high-risk Indigenous populations. We conducted one of the first studies on COVID-19 vaccine acceptance in Indigenous populations in the Central Highlands of Guatemala, which aimed to better understand the barriers to COVID-19 vaccine uptake and how to improve vaccine promotional campaigns. In November 2021, we conducted eight focus group discussions (FGDs) with 42 Indigenous men and women and 16 in-depth interviews (IDIs) with community health workers, nurses and physicians in Chimaltenango and Sololá. Using a participatory design approach, our qualitative analysis used constant comparative methods to understand the inductive and deductive themes from the FGD and IDI transcripts. We found three major overarching barriers to vaccination within the sampled population: (1) a lack of available easily understandable, linguistically appropriate and culturally sensitive COVID-19 vaccine information; (2) vaccine access and supply issues that prevented people from being vaccinated efficiently and quickly; and (3) widespread misinformation and disinformation that prey on people's fears of the unknown and mistrust of the medical establishment and government. When developing COVID-19 vaccine messages, content should be culturally relevant, appropriate for low-literacy populations and in the languages that people prefer to speak. Promotional materials should be in multiple modalities (print, radio and social media) and also have specific Maya cultural references (dress, food and concepts of disease) to ensure messaging connects with intended targets. This study supports the need for more robust research into best practices for communicating about COVID-19 vaccines to marginalised communities globally and suggests that policy makers should invest in targeted local solutions to increase vaccine uptake.

The burden of diabetes mellitus is increasing in low-income and middle-income countries (LMICs). Few studies have explored pathways to care among individuals with diabetes in LMICs. This study evaluates care trajectories among adults with diabetes in rural Guatemala. A qualitative investigation was conducted as part of a population-based study assessing incidence and risk factors for chronic kidney disease in two rural sites in Guatemala. A random sample of 807 individuals had haemoglobin A1c (HbA1c) screening for diabetes in both sites. Based on results from the first 6 months of the population study, semistructured interviews were performed with 29 adults found to have an HbA1c≥6.5% and who reported a previous diagnosis of diabetes. Interviews explored pathways to and experiences of diabetes care. Detailed interview notes were coded using NVivo and used to construct diagrams depicting each participant's pathway to care and use of distinct healthcare sectors. Participants experienced fragmented care across multiple health sectors (97%), including government, private and non-governmental sectors. The majority of participants sought care with multiple providers for diabetes (90%), at times simultaneously and at times sequentially, and did not have longitudinal continuity of care with a single provider. Many participants experienced financial burden from out-of-pocket costs associated with diabetes care (66%) despite availability of free government sector care. Participants perceived government diabetes care as low-quality due to resource limitations and poor communication with providers, leading some to seek care in other health sectors. This study highlights the fragmented, discontinuous nature of diabetes care in Guatemala across public, private and non-governmental health sectors. Strategies to improve diabetes care access in Guatemala and other LMICs should be multisectorial and occur through strengthened government primary care and innovative private and non-governmental organisation care models.

Diabetes prevalence is increasing rapidly in rural areas of low- and middle-income countries (LMICs), but there are limited data on the performance of health systems in delivering equitable and effective care to rural populations. We therefore assessed rural-urban differences in diabetes care and control in LMICs. We pooled individual-level data from nationally representative health surveys in 42 countries. We used Poisson regression models to estimate age-adjusted differences in the proportion of individuals with diabetes in rural versus urban areas achieving performance measures for the diagnosis, treatment, and control of diabetes and associated cardiovascular risk factors. We examined differences across the pooled sample, by sex, and by country. The pooled sample from 42 countries included 840,110 individuals (35,404 with diabetes). Compared with urban populations with diabetes, rural populations had ∼15-30% lower relative risk of achieving performance measures for diabetes diagnosis and treatment. Rural populations with diagnosed diabetes had a 14% (95% CI 5-22%) lower relative risk of glycemic control, 6% (95% CI -5 to 16%) lower relative risk of blood pressure control, and 23% (95% CI 2-39%) lower relative risk of cholesterol control. Rural women with diabetes had lower achievement of performance measures relating to control than urban women, whereas among men, differences were small. Rural populations with diabetes experience substantial inequities in the achievement of diabetes performance measures in LMICs. Programs and policies aiming to strengthen global diabetes care must consider the unique challenges experienced by rural populations.

Compulsory rural service is one method of addressing limitations in health care access in marginalized areas of low- and middle-income countries, including Guatemala. This study aimed to explore Guatemalan medical students' experiences of compulsory rural service and the impact of rural service on their professional development. Qualitative semi-structured interviews were conducted with 40 medical school graduates who completed compulsory rural service between 2012 and 2017. Interview transcripts were coded for dominant themes using an inductive approach. The majority of interviewees felt that rural service contributed to their professional development by increasing their clinical autonomy, awareness of social determinants of health, and humanistic practice. Interviewees identified limited supervision as a key challenge during the rotation. The majority found rural service rewarding. Guatemalan medical students felt that rural service contributed to their professional and personal development. Rural rotations build primary care skills and may increase awareness of health inequity among clinical trainees. Given ongoing healthcare worker shortages in Guatemala, innovative approaches to improving professional supervision and rural health mentoring are needed.

Home gardening is a strategy to improve nutrition and food security. More information is needed about optimizing gardens in different contexts. The aim was to identify implementation barriers and facilitators for a home gardening intervention in rural Guatemala and inform future larger-scale interventions in the region. A mixed-methods implementation study using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework was conducted from January 2019 to July 2020. Families (n = 70) in rural Guatemala participated in the intervention. Staff (n = 4), families (n = 6), and community stakeholders (n = 3) participated in interviews or focus groups. Participating households received seeds and seedlings for 16 crops, garden construction materials, agronomist-delivered education and assistance, and a standard-of-care nutrition program. Implementation data were collected from program records and observations, participant surveys, and interviews and focus groups. Crop count and nutritional functional diversity of home gardens were assessed. Descriptive statistics were calculated for quantitative outcomes. Qualitative data were double-coded and organized into overarching themes. Reach: Ninety percent of eligible households participated. Child nutritional eligibility criteria was a barrier to reach. Participants and stakeholders felt the intervention improved access to diverse foods. Cultivated crops increased an average of five species (95% confidence interval [CI], 4-6) at 6 months, although not all were consumed. Adoption: The main community adoption barrier was water sourcing for garden irrigation. Raised beds were the most common gardening method, with good adoption of agricultural best practices. Gray water filters and flexible implementation were important for participation. Maintenance: Crops failure rates were low. Seed availability was a sustainability challenge. Direct costs were 763 USD per household. Interest and engagement with a home garden intervention in Guatemala were high. Gaps between garden production and consumption, access to water, and seed sourcing should be addressed in future work.

In the prevention of cardiovascular disease, a WHO target is that at least 50% of eligible people use statins. Robust evidence is needed to monitor progress towards this target in low-income and middle-income countries (LMICs), where most cardiovascular disease deaths occur. The objectives of this study were to benchmark statin use in LMICs and to investigate country-level and individual-level characteristics associated with statin use. We did a cross-sectional analysis of pooled, individual-level data from nationally representative health surveys done in 41 LMICs between 2013 and 2019. Our sample consisted of non-pregnant adults aged 40-69 years. We prioritised WHO Stepwise Approach to Surveillance (STEPS) surveys because these are WHO's recommended method for population monitoring of non-communicable disease targets. For countries in which no STEPS survey was available, a systematic search was done to identify other surveys. We included surveys that were done in an LMIC as classified by the World Bank in the survey year; were done in 2013 or later; were nationally representative; had individual-level data available; and asked questions on statin use and previous history of cardiovascular disease. Primary outcomes were the proportion of eligible individuals self-reporting use of statins for the primary and secondary prevention of cardiovascular disease. Eligibility for statin therapy for primary prevention was defined among individuals with a history of diagnosed diabetes or a 10-year cardiovascular disease risk of at least 20%. Eligibility for statin therapy for secondary prevention was defined among individuals with a history of self-reported cardiovascular disease. At the country level, we estimated statin use by per-capita health spending, per-capita income, burden of cardiovascular diseases, and commitment to non-communicable disease policy. At the individual level, we used modified Poisson regression models to assess statin use alongside individual-level characteristics of age, sex, education, and rural versus urban residence. Countries were weighted in proportion to their population size in pooled analyses. The final pooled sample included 116 449 non-pregnant individuals. 9229 individuals reported a previous history of cardiovascular disease (7·9% [95% CI 7·4-8·3] of the population-weighted sample). Among those without a previous history of cardiovascular disease, 8453 were eligible for a statin for primary prevention of cardiovascular disease (9·7% [95% CI 9·3-10·1] of the population-weighted sample). For primary prevention of cardiovascular disease, statin use was 8·0% (95% CI 6·9-9·3) and for secondary prevention statin use was 21·9% (20·0-24·0). The WHO target that at least 50% of eligible individuals receive statin therapy to prevent cardiovascular disease was achieved by no region or income group. Statin use was less common in countries with lower health spending. At the individual level, there was generally higher statin use among women (primary prevention only, risk ratio [RR] 1·83 [95% CI 1·22-2·76), and individuals who were older (primary prevention, 60-69 years, RR 1·86 [1·04-3·33]; secondary prevention, 50-59 years RR 1·71 [1·35-2·18]; and 60-69 years RR 2·09 [1·65-2·65]), more educated (primary prevention, RR 1·61 [1·09-2·37]; secondary prevention, RR 1·28 [0·97-1·69]), and lived in urban areas (secondary prevention only, RR 0·82 [0·66-1·00]). In a diverse sample of LMICs, statins are used by about one in ten eligible people for the primary prevention of cardiovascular diseases and one in five eligible people for secondary prevention. There is an urgent need to scale up statin use in LMICs to achieve WHO targets. Policies and programmes that facilitate implementation of statins into primary health systems in these settings should be investigated for the future. National Clinician Scholars Program at the University of Michigan Institute for Healthcare Policy and Innovation, and National Institute of Diabetes and Digestive and Kidney Diseases. For the Spanish translation of the abstract see Supplementary Materials section.

To address the global diabetes epidemic, lifestyle counseling on diet, physical activity, and weight loss is essential. This study assessed the implementation of a diabetes self-management education and support (DSMES) intervention using a mixed-methods evaluation framework. We implemented a culturally adapted, home-based DSMES intervention in rural Indigenous Maya towns in Guatemala from 2018 through 2020. We used a pretest-posttest design and a mixed-methods evaluation approach guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. Quantitative data included baseline characteristics, implementation metrics, effectiveness outcomes, and costs. Qualitative data consisted of semistructured interviews with 3 groups of stakeholders. Of 738 participants screened, 627 participants were enrolled, and 478 participants completed the study. Adjusted mean change in glycated hemoglobin A1c was -0.4% (95% CI, -0.6% to -0.3%; P < .001), change in systolic blood pressure was -5.0 mm Hg (95% CI, -6.4 to -3.7 mm Hg; P < .001), change in diastolic blood pressure was -2.6 mm Hg (95% CI, -3.4 to -1.9 mm Hg; P < .001), and change in body mass index was 0.5 (95% CI, 0.3 to 0.6; P < .001). We observed improvements in diabetes knowledge, distress, and most self-care activities. Key implementation factors included 1) recruitment barriers for men, 2) importance of patient-centered care, 3) role of research staff in catalyzing health worker involvement, 4) tradeoffs between home and telephone visits, and 5) sustainability challenges. A community health worker-led DSMES intervention was successfully implemented in the public health system in rural Guatemala and resulted in significant improvements in most clinical and psychometric outcomes. Scaling up sustainable DSMES in health systems in rural settings requires careful consideration of local barriers and facilitators.

More than 40% of children under 5 years of age in low-income and middle-income countries are at risk of not reaching their developmental potential. The international Guide for Monitoring Child Development (GMCD) early intervention package is a comprehensive programme to address developmental difficulties using an individualised intervention plan for young children and their families. We will conduct a hybrid type 1 effectiveness-implementation evaluation of the GMCD intervention in rural India and Guatemala. Using a cluster-randomised design, 624 children aged 0-24 months in 52 clusters (26 in India, 26 in Guatemala) will be assigned to usual care or the GMCD intervention plus usual care delivered by frontline workers for 12 months. After 12 months, the usual care arm will cross over to the intervention, which will continue for 12 additional months (24 total). The intervention will be delivered using a digital mobile device interface. Effectiveness will be assessed for developmental functioning (Bayley Scales of Infant Development, 3rd edition) and nurturing care (Home Observation for Measurement of the Environment Scale) outcomes. Implementation will be assessed using the Reach, Effectiveness, Adoption, Implementation, Maintenance framework. Explanatory qualitative analysis guided by the Consolidated Framework for Implementation Research will explore determinants between clusters with high versus low implementation effectiveness. The study has been approved by the Institutional Review Boards of Brigham and Women's Hospital, Mahatma Gandhi Institute of Medical Sciences and Maya Health Alliance; and by the Indian Council of Medical Research/Health Ministry Screening Committee. Key study findings will be published in international open-access journals. NCT04665297, CTRI/2020/12/029748. 1.0 (12 November 2020).

Rural Indigenous Maya communities in Guatemala have some of the worst obstetrical health outcomes in Latin America, due to widespread discrimination in healthcare and an underfunded public sector. Multiple systems-level efforts to improve facility birth outcomes have been implemented, primarily focusing on early community-based detection of obstetrical complications and on reducing discrimination and improving the quality of facility-level care. However, another important feature of public facility-level care are the out-of-pocket payments that patients are often required to make for care. To estimate the burden of out-of-pocket costs for public obstetrical care in Indigenous Maya communities in Guatemala. We conducted a retrospective review of electronic medical record data on obstetrical referrals collected as part of an obstetrical care navigation intervention, which included documentation of out-of-pocket costs by care navigators accompanying patients within public facilities. We compared the median costs for both emergency and routine obstetrical facility care. Cost data on 709 obstetric referrals from 479 patients were analyzed (65% emergency and 35% routine referrals). The median OOP costs were Q100 (IQR 75-150) [$13 USD] and Q50 (IQR 16-120) [$6.50 USD] for emergency and routine referrals. Costs for transport were most common (95% and 55%, respectively). Costs for medication, supply, laboratory, and imaging costs occurred less frequently. Food and lodging costs were minimal. Out-of-pocket payments for theoretically free public care are a common and important barrier to care for this rural Guatemalan setting. These data add to the literature in Latin American on the barriers to obstetrical care faced by Indigenous and rural women.

The majority of indigenous Guatemalan women give birth at home with traditional birth attendants (TBAs), and maternal mortality rates are high (Ministerio de Salud, 2017). Our objective was to better understand decision-making around whether to remain in the home or to seek facility-level care for obstetric complications. This study was a qualitative analysis using semi-structured interviews in a Maya population in the Western Highlands of Guatemala who received prenatal care between April 2017 and December 2018. We used qualitative interviews with women who were identified as medically high-risk and needing facility-level care, offered assistance with acquiring such care, and yet declined this option. Women interviewed were connected to a primary care organization called Maya Health Alliance, through care with TBAs involved in a program utilizing a smartphone-based decision support application to identify maternal and neonatal complications of pregnancy. Interviews were analyzed using Dedoose (www.dedoose.com). Deductive and inductive analysis was performed. Barriers to care included a disagreement between the respondent and TBA about indications for facility care, fear of hospital care, concerns about the quality of hospital care, logistical obstacles, and lack of control; and they were more often described by respondents who had previous healthcare experiences. Therapeutic misalignment occurred more with conditions perceived to be less severe. Participants described a balancing of fears and apprehensions against concerns of low quality and disrespectful maternity care, and in the setting of emergent conditions, disregarded barriers that were often described as inhibiting non-urgent obstetric care. The decision to engage in medical care in this population of Maya women involves a weighing of the perception of seriousness of the medical complication against fears of facility level care and concerns of a poor quality of care.

Global disparities in maternal mortality could be reduced by universal facility delivery. Yet, deficiencies in the quality of care prevent some mothers from seeking facility-based obstetric care. Obstetric care navigators (OCNs) are a new form of lay health workers that combine elements of continuous labor support and care navigation to promote obstetric referrals. Here we report qualitative results from the pilot OCN project implemented in Indigenous villages in the Guatemalan central highlands. We conducted semi-structured interviews with 17 mothers who received OCN accompaniment and 13 staff-namely physicians, nurses, and social workers-of the main public hospital in the pilot's catchment area (Chimaltenango). Interviews queried OCN's impact on patient and hospital staff experience and understanding of intended OCN roles. Audiorecorded interviews were transcribed, coded, and underwent content analysis. Maternal fear of surgical intervention, disrespectful and abusive treatment, and linguistic barriers were principal deterrents of care seeking. Physicians and nurses reported cultural barriers, opposition from family, and inadequate hospital resources as challenges to providing care to Indigenous mothers. Patient and hospital staff identified four valuable services offered by OCNs: emotional support, patient advocacy, facilitation of patient-provider communication, and care coordination. While patients and most physicians felt that OCNs had an overwhelmingly positive impact, nurses felt their effort would be better directed toward traditional nursing tasks. Many barriers to maternity care exist for Indigenous mothers in Guatemala. OCNs can improve mothers' experiences in public hospitals and reduce limitations faced by providers. However, broader buy-in from hospital staff-especially nurses-appears critical to program success. Future research should focus on measuring the impact of obstetric care navigation on key clinical outcomes (cesarean delivery) and mothers' future care seeking behavior.

Approximately 80% of the 463 million adults worldwide with diabetes live in low- and middle-income countries (LMICs). A major obstacle to designing evidence-based policies to improve diabetes outcomes in LMICs is the limited nationally representative data on the current patterns of treatment coverage. The objectives of this study are (1) to estimate the proportion of adults with diabetes in LMICs who receive coverage of recommended pharmacological and non-pharmacological diabetes treatment and (2) to describe country-level and individual-level characteristics that are associated with treatment. We conducted a cross-sectional analysis of pooled, individual data from 55 nationally representative surveys in LMICs. Our primary outcome of self-reported diabetes treatment coverage was based upon population-level monitoring indicators recommended in the 2020 World Health Organization Package of Essential Noncommunicable Disease Interventions. We assessed coverage of three pharmacological and three non-pharmacological treatments among people with diabetes. At the country level, we estimated the proportion of individuals reporting coverage by per-capita gross national income and geographic region. At the individual level, we used logistic regression models to assess coverage along several key individual characteristics including sex, age, BMI, wealth quintile, and educational attainment. In the primary analysis, we scaled sample weights such that countries were weighted equally. The final pooled sample from the 55 LMICs included 680,102 total individuals and 37,094 individuals with diabetes. Using equal weights for each country, diabetes prevalence was 9.0% (95% confidence interval [CI], 8.7-9.4), with 43.9% (95% CI, 41.9-45.9) reporting a prior diabetes diagnosis. Overall, 4.6% (95% CI, 3.9-5.4) of individuals with diabetes self-reported meeting need for all treatments recommended for them. Coverage of glucose-lowering medication was 50.5% (95% CI, 48.6-52.5); antihypertensive medication, 41.3% (95% CI, 39.3-43.3); cholesterol-lowering medication, 6.3% (95% CI, 5.5-7.2); diet counseling, 32.2% (95% CI, 30.7-33.7); exercise counseling, 28.2% (95% CI, 26.6-29.8); and weight-loss counseling, 31.5% (95% CI, 29.3-33.7). Countries at higher income levels tended to have greater coverage. Female sex and higher age, BMI, educational attainment, and household wealth were also associated with greater coverage. Fewer than one in ten people with diabetes in LMICs receive coverage of guideline-based comprehensive diabetes treatment. Scaling-up the capacity of health systems to deliver treatment not only to lower glucose but also to address cardiovascular disease risk factors such as hypertension and high cholesterol are urgent global diabetes priorities.

Despite the life-saving work they perform, community health workers (CHWs) have long been subject to global debate about their remuneration. There is now, however, an emerging consensus that CHWs should be paid. As the discussion evolves from whether to financially remunerate CHWs to how to do so, there is an urgent need to better understand the types of CHW payment models and their implications. This study examines the legal framework on CHW compensation in five countries: Brazil, Ghana, Nigeria, Rwanda, and South Africa. In order to map the characteristics of each approach, a review of the regulatory framework governing CHW compensation in each country was undertaken. Law firms in each of the five countries were engaged to support the identification and interpretation of relevant legal documents. To guide the search and aid in the creation of uniform country profiles, a standardized set of questions was developed, covering: (i) legal requirements for CHW compensation, (ii) CHW compensation mechanisms, and (iii) CHW legal protections and benefits. The five countries profiled represent possible archetypes for CHW compensation: Brazil (public), Ghana (volunteer-based), Nigeria (private), Rwanda (cooperatives with performance based incentives) and South Africa (hybrid public/private). Advantages and disadvantages of each model with respect to (i) CHWs, in terms of financial protection, and (ii) the health system, in terms of ease of implementation, are outlined. While a strong legal framework does not necessarily translate into high-quality implementation of compensation practices, it is the first necessary step. Certain approaches to CHW compensation - particularly public-sector or models with public sector wage floors - best institutionalize recommended CHW protections. Political will and long-term financing often remain challenges; removing ecosystem barriers - such as multilateral and bilateral restrictions on the payment of salaries - can help governments institutionalize CHW payment.

Rural Guatemala has one of the highest rates of chronic child malnutrition (stunting) in the world, with little progress despite considerable efforts to scale up evidence-based nutrition interventions. Recent literature suggests that one factor limiting impact is inadequate supervisory support for frontline workers. Here we describe a community-based quality improvement intervention in a region with a high rate of stunting. The intervention provided audit and feedback support to frontline nutrition workers through electronic worklists, performance dashboards, and one-on-one feedback sessions. We visualized performance indicators and child nutrition outcomes during the improvement intervention using run charts and control charts. In this small community-based sample (125 households at program initiation), over the two-year improvement period, there were marked improvements in the delivery of program components, such as growth monitoring services and micronutrient supplements. The prevalence of child stunting fell from 42.4 to 30.6%, meeting criteria for special cause variation. The mean length/height-for-age Z-score rose from -1.77 to -1.47, also meeting criteria for special cause variation. In conclusion, the addition of structured performance visualization and audit and feedback components to an existing community-based nutrition program improved child health indicators significantly through improving the fidelity of an existing evidence-based nutrition package.

Effective health system interventions may help address the disproportionate burden of diabetes in low- and middle-income countries (LMICs). We assessed the impact of health system interventions to improve outcomes for adults with type 2 diabetes in LMICs. We searched Ovid MEDLINE, Cochrane Library, EMBASE, African Index Medicus, LILACS, and Global Index Medicus from inception of each database through February 24, 2020. We included randomized controlled trials (RCTs) of health system interventions targeting adults with type 2 diabetes in LMICs. Eligible studies reported at least 1 of the following outcomes: glycemic change, mortality, quality of life, or cost-effectiveness. We conducted a meta-analysis for the glycemic outcome of hemoglobin A1c (HbA1c). GRADE and Cochrane Effective Practice and Organisation of Care methods were used to assess risk of bias for the glycemic outcome and to prepare a summary of findings table. Of the 12,921 references identified in searches, we included 39 studies in the narrative review of which 19 were cluster RCTs and 20 were individual RCTs. The greatest number of studies were conducted in the East Asia and Pacific region (n = 20) followed by South Asia (n = 7). There were 21,080 total participants enrolled across included studies and 10,060 total participants in the meta-analysis of HbA1c when accounting for the design effect of cluster RCTs. Non-glycemic outcomes of mortality, health-related quality of life, and cost-effectiveness had sparse data availability that precluded quantitative pooling. In the meta-analysis of HbA1c from 35 of the included studies, the mean difference was -0.46% (95% CI -0.60% to -0.31%, I2 87.8%, p < 0.001) overall, -0.37% (95% CI -0.64% to -0.10%, I2 60.0%, n = 7, p = 0.020) in multicomponent clinic-based interventions, -0.87% (-1.20% to -0.53%, I2 91.0%, n = 13, p < 0.001) in pharmacist task-sharing studies, and -0.27% (-0.50% to -0.04%, I2 64.1%, n = 7, p = 0.010) in trials of diabetes education or support alone. Other types of interventions had few included studies. Eight studies were at low risk of bias for the summary assessment of glycemic control, 15 studies were at unclear risk, and 16 studies were at high risk. The certainty of evidence for glycemic control by subgroup was moderate for multicomponent clinic-based interventions but was low or very low for other intervention types. Limitations include the lack of consensus definitions for health system interventions, differences in the quality of underlying studies, and sparse data availability for non-glycemic outcomes. In this meta-analysis, we found that health system interventions for type 2 diabetes may be effective in improving glycemic control in LMICs, but few studies are available from rural areas or low- or lower-middle-income countries. Multicomponent clinic-based interventions had the strongest evidence for glycemic benefit among intervention types. Further research is needed to assess non-glycemic outcomes and to study implementation in rural and low-income settings.

This qualitative study explores perceptions of chronic kidney disease (CKD) among adults with abnormal estimated glomerular filtration rate (eGFR) in Guatemala, where the burden of CKD is rising. Qualitative semi-structured interviews were conducted with 39 individuals screened for CKD and found to have abnormal eGFR (defined as <90 mL/min/1.73 m2, per Kidney Disease Improving Global Outcomes [KDIGO] guidelines). Interviews occurred in participants' homes in Spanish or Kaqchikel Mayan. Interview notes were coded for dominant themes through an inductive approach. Interviewees had limited awareness of diabetes and hypertension as CKD risk factors, but appreciated the progressive nature of the disease. While most reported willingness to pursue renal replacement therapies, if necessary, they anticipated economic and geographic barriers. Public health interventions should focus on the association between diabetes, hypertension, and CKD. Improvement of primary care and screening infrastructure is imperative in CKD prevention in low- and middle-income countries (LMICs).

COVID-19 disproportionately affects the poor and vulnerable. Community health workers are poised to play a pivotal role in fighting the pandemic, especially in countries with less resilient health systems. Drawing from practitioner expertise across four WHO regions, this article outlines the targeted actions needed at different stages of the pandemic to achieve the following goals: (1) PROTECT healthcare workers, (2) INTERRUPT the virus, (3) MAINTAIN existing healthcare services while surging their capacity, and (4) SHIELD the most vulnerable from socioeconomic shocks. While decisive action must be taken now to blunt the impact of the pandemic in countries likely to be hit the hardest, many of the investments in the supply chain, compensation, dedicated supervision, continuous training and performance management necessary for rapid community response in a pandemic are the same as those required to achieve universal healthcare and prevent the next epidemic.

Ever since the 1960s, Guatemala has been a principle site for global academic research on child growth and nutrition. Nevertheless, Guatemala still has one of the highest rates of child stunting in the world. Since 2012, Guatemala has had a comprehensive national policy on stunting, calling for a renewed investment in innovative, multilevel nutrition interventions and implementation science. Our objective was to perform a systematic search and scoping review of the literature on stunting in Guatemala to identify gaps in research and opportunities for responding to this unique policy opportunity. We conducted a systematic search and scoping review on stunting in Guatemala, searching the PubMed, Web of Science and PsycINFO databases. Eligible articles were of any design or format, published in English and Spanish from 2000 to 2018. Articles were thematically grouped by those published before (2000-2011) and after (2012-2018) the new national policy initiatives. We identified a total of 1934 articles through database searches. After full-text review, 104 were included in the synthesis. The volume of published articles on stunting increased from a mean of 3.2 to 9.4 articles/year before and after 2012. There was a shift toward articles generating new data on priority populations, including rural indigenous Maya populations (34% vs 61%, χ2 test, p=0.01). However, the proportion of studies conducting implementation evaluations or testing new interventions was low and did not change significantly (34% vs 18%, χ2 test, p=0.07). Among 17 identified intervention studies, only 4 tested multilevel interventions, and there were no published interventions incorporating nutrition-sensitive interventions. A systematic search and scoping review of the literature on child stunting in Guatemala identified critical opportunities for new research in multilevel interventions, nutrition-sensitive interventions and implementation science.

Many maternal and perinatal deaths in low-resource settings are preventable. Inadequate access to timely, quality care in maternity facilities drives poor outcomes, especially where women deliver at home with traditional birth attendants (TBA). Yet few solutions exist to support TBA-initiated referrals or address reasons patients frequently refuse facility care, such as disrespectful and abusive treatment. We hypothesised that deploying accompaniers-obstetric care navigators (OCN)-trained to provide integrated patient support would facilitate referrals from TBAs to public hospitals. This project built on an existing collaboration with 41 TBAs who serve indigenous Maya villages in Guatemala's Western Highlands, which provided baseline data for comparison. When TBAs detected pregnancy complications, families were offered OCN referral support. Implementation was guided by bimonthly meetings of the interdisciplinary quality improvement team where the OCN role was iteratively tailored. The primary process outcomes were referral volume, proportion of births receiving facility referral, and referral success rate, which were analysed using statistical process control methods. Over the 12-month pilot, TBAs attended 847 births. The median referral volume rose from 14 to 27.5, meeting criteria for special cause variation, without a decline in success rate. The proportion of births receiving facility-level care increased from 24±6% to 62±20% after OCN implementation. Hypertensive disorders of pregnancy and prolonged labour were the most common referral indications. The OCN role evolved to include a number of tasks, such as expediting emergency transportation and providing doula-like labour support. OCN accompaniment increased the proportion of births under TBA care that received facility-level obstetric care. Results from this of obstetric care navigation suggest it is a feasible, patient-centred intervention to improve maternity care.

Stunting is a common cause of early child developmental delay; Guatemala has the fourth highest rate of stunting globally. The goal of this study was to examine the impact of an intensive community health worker-led complementary feeding intervention on early child development in Guatemala. We hypothesised that the intervention would improve child development over usual care. A substudy from a larger individually randomised (1:1 allocation ratio), parallel-group superiority trial, with blinding of study staff collecting outcomes data. Rural, indigenous Maya communities in Guatemala. 210 stunted children (height-for-age z-score ≤-2.5) aged 6-24 months, previously randomised to usual care (106) or an intensive complementary feeding intervention (104). 84 in the intervention and 91 in the usual care arm agreed to participate. Community health workers conducted monthly home visits for 6 months, providing usual care or individualised complementary feeding education. The primary outcomes were change in z-scores for the subscales of the Bayley Scales of Infant Development (BSID), Third Edition. 100 individuals were included in the final analysis, 47 in the intervention and 53 in the usual care arm. No statistically significant differences in age-adjusted scores between the arms were observed for any subscale. However, improvements within-subjects in both arms were observed (median duration between measurements 189 days (IQR 182-189)). Mean change for subscales was 0.45 (95% CI 0.23 to 0.67) z-scores in the intervention, and 0.43 (95% CI 0.25 to 0.61) in the usual care arm. An intensive complementary feeding intervention did not significantly improve developmental outcomes more than usual care in stunted, indigenous Guatemalan children. However, both interventions had significant positive impacts on developmental outcomes. NCT02509936. Results.

Guatemala's indigenous Maya population has one of the highest perinatal and maternal mortality rates in Latin America. In this population most births are delivered at home by traditional birth attendants (TBAs), who have limited support and linkages to public hospitals. The goal of this study was to characterize the detection of maternal and perinatal complications and rates of facility-level referral by TBAs, and to evaluate the impact of a mHealth decision support system on these rates. A pragmatic one-year feasibility trial of an mHealth decisions support system was conducted in rural Maya communities in collaboration with TBAs. TBAs were individually randomized in an unblinded fashion to either early-access or later-access to the mHealth system. TBAs in the early-access arm used the mHealth system throughout the study. TBAs in the later-access arm provided usual care until crossing over uni-directionally to the mHealth system at the study midpoint. The primary study outcome was the monthly rate of referral to facility-level care, adjusted for birth volume. Forty-four TBAs were randomized, 23 to the early-access arm and 21 to the later-access arm. Outcomes were analyzed for 799 pregnancies (early-access 425, later-access 374). Monthly referral rates to facility-level care were significantly higher among the early-access arm (median 33 referrals per 100 births, IQR 22-58) compared to the later-access arm (median 20 per 100, IQR 0-30) (p = 0.03). At the study midpoint, the later-access arm began using the mHealth platform and its referral rates increased (median 34 referrals per 100 births, IQR 5-50) with no significant difference from the early-access arm (p = 0.58). Rates of complications were similar in both arms, except for hypertensive disorders of pregnancy, which were significantly higher among TBAs in the early-access arm (RR 3.3, 95% CI 1.10-9.86). Referral rates were higher when TBAs had access to the mHealth platform. The introduction of mHealth supportive technologies for TBAs is feasible and can improve detection of complications and timely referral to facility-care within challenging healthcare delivery contexts. Clinicaltrials.gov NCT02348840 .

Guatemala's indigenous Maya population has one of the highest rates of childhood stunting in the world. The goal of this study was to examine the impact of an intensive, individualised approach to complementary feeding education for caregivers on feeding practices and growth over usual care. An individually randomised (1:1 allocation ratio), parallel-group superiority trial, with blinding of study staff collecting outcome data. Rural Maya communities in Guatemala. 324 children aged 6-24 months with a height-for-age Z score of less than or equal to -2.5 SD were randomised, 161 to the intervention and 163 to usual care. Community health workers conducted home visits for 6 months, providing usual care or usual care plus individualised caregiver education. The main outcome was change in length/height-for-age Z score. Secondary outcomes were changes in complementary feeding indicators. Data were analysed for 296 subjects (intervention 145, usual care 151). There was a non-significant trend to improved growth in the intervention arm (length/height-for-age Z score change difference 0.07(95% CI -0.04 to 0.18)). The intervention led to a 22% improvement in minimum dietary diversity (RR 1.22, 95% CI 1.11 to 1.35) and a 23% improvement in minimal acceptable diet (RR 1.23, 95% CI 1.08 to 1.40) over usual care. Complementary feeding outcomes improved in the intervention arm, and a non-significant trend towards improved linear growth was observed. Community health workers in a low-resource rural environment can implement individualised caregiver complementary feeding education with significant improvements in child dietary quality over standard approaches. NCT02509936. Stage: Results.

The utilization of existing social networks is increasingly being recognized as a powerful strategy for delivering healthcare services to underserved populations in low- and middle-income countries. In Guatemala, multiple barriers prevent access to healthcare services for rural and indigenous populations, and strategies for delivering healthcare in more efficient ways are needed. The case study we describe here is a unique collaboration between a microfinance institution (Friendship Bridge) and a primary care organization (Wuqu' Kawoq | Maya Health Alliance) to scale up healthcare through an existing lending-borrowing social network. The program provides primary care services to female clients of Friendship Bridge in rural areas of Guatemala, with nurses working as frontline primary care providers, providing door-to-door healthcare services. Over the first 22 months of the project, we have reached over 3500 of Friendship Bridge's clients, with overall high acceptance of services. All clinical documentation and program monitoring and evaluation are done through audit trails within an electronical medical record system, which improves efficiency and lowers the associated time and resources costs. We utilize quality improvement methodologies to aid in decision making and programmatic adjustments scale up. These strategies have allowed us to expand services rapidly under challenging geographic and logistical constraints, while concurrently iteratively improving staff training and supervision, clinical care, and client engagement processes.

Screening is a key strategy to address the rising burden of chronic kidney disease (CKD) in low-income and middle-income countries. However, there are few reports regarding the implementation of screening programmes in resource-limited settings. The objectives of this study are to (1) to share programmatic experiences implementing CKD screening in a rural, resource-limited setting and (2) to assess the burden of renal disease in a community-based diabetes programme in rural Guatemala. Cross-sectional assessment of glomerular filtration rate (GFR) and urine albumin. Central Highlands of Guatemala. We enrolled 144 adults with type 2 diabetes in a community-based CKD screening activity carried out by the sponsoring institution. Prevalence of renal disease and risk of CKD progression using Kidney Disease: Improving Global Outcomes definitions and classifications. We found that 57% of the sample met GFR and/or albuminuria criteria suggestive of CKD. Over half of the sample had moderate or greater increased risk for CKD progression, including nearly 20% who were classified as high or very high risk. Hypertension was common in the sample (42%), and glycaemic control was suboptimal (mean haemoglobin A1c 9.4%±2.5% at programme enrolment and 8.6%±2.3% at time of CKD screening). The high burden of renal disease in our patient sample suggests an imperative to better understand the burden and risk factors of CKD in Guatemala. The implementation details we share reveal the tension between evidence-based CKD screening versus screening that can feasibly be delivered in resource-limited global settings.

Disrespectful and abusive maternity care is a common and pervasive problem that disproportionately impacts marginalized women. By making mothers less likely to agree to facility-based delivery, it contributes to the unacceptably high rates of maternal mortality in low- and middle-income countries. Few programmatic approaches have been proposed to address disrespectful and abusive maternity care. Care navigation was pioneered by the field of oncology to improve health outcomes of vulnerable populations and promote patient autonomy by providing linkages across a fragmented care continuum. Here we describe the novel application of the care navigation model to emergency obstetric referrals to hospitals for complicated home births in rural Guatemala. Care navigators offer women accompaniment and labor support intended to improve the care experience-for both patients and providers-and to decrease opposition to hospital-level obstetric care. Specific roles include deflecting mistreatment from hospital staff, improving provider communication through language and cultural interpretation, advocating for patients' right to informed consent, and protecting patients' dignity during the birthing process. Care navigators are specifically chosen and trained to gain the trust and respect of patients, traditional midwives, and biomedical providers. We describe an ongoing obstetric care navigator pilot program employing rapid-cycle quality improvement methods to quickly identify implementation successes and failures. This approach empowers frontline health workers to problem solve in real time and ensures the program is highly adaptable to local needs. Care navigation is a promising strategy to overcome the "humanistic barrier" to hospital delivery by mitigating disrespectful and abusive care. It offers a demand-side approach to undignified obstetric care that empowers the communities most impacted by the problem to lead the response. Results from an ongoing pilot program of obstetric care navigation will provide valuable feedback from patients on the impact of this approach and implementation lessons to facilitate replication in other settings.

[Abstract not available]

Diabetes self-management education (DSME) is a fundamental element of type 2 diabetes care. Although 75% of adults with diabetes worldwide live in low-income and middle-income countries (LMICs), limited DSME research has been conducted in LMICs. The objective of this study was to evaluate a home-based DSME intervention in rural Guatemala. We conducted a prospective study of a DSME intervention using a quasi-experimental, single-group pretest-posttest design. We enrolled 90 participants in the intervention, which consisted of 6 home visits (May 2014-July 2016) conducted by a diabetes educator using a curriculum culturally and linguistically tailored to rural Mayan populations. Primary outcomes were changes in mean hemoglobin A1c (HbA1c) and mean systolic and diastolic blood pressure at baseline and at 12 months. Secondary outcomes were diabetes knowledge and self-care activities at baseline and intervention completion. HbA1c decreased significantly from baseline to 12 months (absolute mean change, -1.5%; 95% confidence interval [CI], -1.9% to -1.0%; P < .001). Systolic blood pressure also improved significantly at 12 months (-6.2 mm Hg; 95% CI, -10.1 to -2.2 mm Hg; P = .002); changes in diastolic blood pressure were not significant (-1.6 mm Hg; 95% CI, -3.9 to -0.7 mm Hg; P = .17). We also found significant improvements in diabetes knowledge and self-care activities from baseline to intervention completion. DSME interventions can be successfully delivered in a setting with an underresourced health system, high poverty rate, and unique cultural characteristics like Mayan Guatemala. Our findings point to the need for more DSME research in resource-limited settings globally.

Quality improvement (QI) is a key strategy for improving diabetes care in low- and middle-income countries (LMICs). This study reports on a diabetes QI project in rural Guatemala whose primary aim was to improve glycemic control of a panel of adult diabetes patients. Formative research suggested multiple areas for programmatic improvement in ambulatory diabetes care. This project utilized the Model for Improvement and Agile Global Health, our organization's complementary healthcare implementation framework. A bundle of improvement activities were implemented at the home, clinic and institutional level. Control charts of mean hemoglobin A1C (HbA1C) and proportion of patients meeting target HbA1C showed improvement as special cause variation was identified 3 months after the intervention began. Control charts for secondary process measures offered insights into the value of different components of the intervention. Intensity of home-based diabetes education emerged as an important driver of panel glycemic control. Diabetes QI work is feasible in resource-limited settings in LMICs and can improve glycemic control. Statistical process control charts are a promising methodology for use with panels or registries of diabetes patients.

[Abstract not available]

Access to low-cost essential generic medicines is a critical health policy goal in low-and-middle income countries (LMICs). Guatemala is an LMIC where there is both limited availability and affordability of these medications. However, attitudes of physicians and pharmacy staff regarding low-cost generics, especially generics for non-communicable diseases (NCDs), have not been fully explored in Guatemala. Semi-structured interviews with 30 pharmacy staff and 12 physicians in several highland towns in Guatemala were conducted. Interview questions related to perceptions of low-cost generic medicines, prescription and dispensing practices of generics in the treatment of two NCDs, diabetes and hypertension, and opinions about the roles of pharmacy staff and physicians in selecting medicines for patients. Pharmacy staff were recruited from a random sample of pharmacies and physicians were recruited from a convenience sample. Interview data were analyzed using a thematic approach for qualitative data as well as basic quantitative statistics. Pharmacy staff and physicians expressed doubt as to the safety and efficacy of low-cost generic medicines in Guatemala. The low cost of generic medicines was often perceived as proof of their inferior quality. In the case of diabetes and hypertension, the decision to utilize a generic medicine was based on multiple factors including the patient's financial situation, consumer preference, and, to a large extent, physician recommendations. Interventions to improve generic medication utilization in Guatemala must address the negative perceptions of physicians and pharmacy staff toward low-cost generics. Strengthening state capacity and transparency in the regulation and monitoring of the drug supply is a key goal of access-to-medicines advocacy in Guatemala.

The burden of chronic, non-communicable diseases such as diabetes is growing rapidly in low- and middle-income countries. Implementing management programs for diabetes and other chronic diseases for underserved populations is thus a critical global health priority. However, there is a notable dearth of shared programmatic and outcomes data from diabetes treatment programs in these settings. We describe our experiences as a non-governmental organization designing and implementing a type 2 diabetes program serving Maya indigenous people in rural Guatemala. We detail the practical challenges and solutions we have developed to build and sustain diabetes programming in this setting. We conduct a retrospective chart review from our electronic medical record to evaluate our program's performance. We generate a cohort profile, assess cross-sectional indicators using a framework adapted from the literature, and report on clinical longitudinal outcomes. A total of 142 patients were identified for the chart review. The cohort showed a decrease in hemoglobin A1C from a mean of 9.2% to 8.1% over an average of 2.1 years of follow-up (p <0.001). The proportions of patients meeting glycemic targets were 53% for hemoglobin A1C < 8% and 32% for the stricter target of hemoglobin A1C < 7%. We first offer programmatic experiences to address a gap in resources relating to the practical issues of designing and implementing global diabetes management interventions. We then present clinical data suggesting that favorable diabetes outcomes can be attained in poor areas of rural Guatemala.

Global health practitioners may feel frustration that current models of global health research, delivery, and implementation are overly focused on specific interventions, slow to provide health services in the field, and relatively ill-equipped to adapt to local contexts. Adapting design principles from the agile software development movement, we propose an analogous approach to designing global health programs that emphasizes tight integration between research and implementation, early involvement of ground-level health workers and program beneficiaries, and rapid cycles of iterative program improvement. Using examples from our own fieldwork, we illustrate the potential of 'agile global health' and reflect on the limitations, trade-offs, and implications of this approach.

In Guatemala, diabetes is an emerging public health concern. Guatemala has one of the largest indigenous populations in Latin America, and this population frequently does not access the formal health care system. Therefore, knowledge about the emergence of diabetes in this population is limited. Interview participants (n=23) were recruited from a convenience sample of indigenous adults with type 2 diabetes at one rural diabetes clinic in Guatemala. A structured interview was used to assess knowledge about diabetes and its complications; access to diabetes-related health care and treatment; dietary and lifestyle changes; and family and social supports for individuals living with diabetes. Interviews were supplemented with two group interviews with community leaders and health care providers. Thematic analysis was used to produce insights into diabetes knowledge, attitudes, and practices. In addition, a chart review of the clinic's electronic medical record identified all adult patients (n=80) presenting in one calendar year for a first-time diabetic consultation. Sociodemographic and clinical variables were extracted and summarized from these records. Salient demographic factors in both the structured interview and chart review samples included low educational levels and high indigenous language preference. In the interview sample, major gaps in biomedical knowledge about diabetes included understanding the causes, chronicity, and long-term end-organ complications of diabetes. Medication costs, medical pluralism, and limited social supports for dietary and lifestyles changes were major practical barriers to disease management. Quantitative data from medical records review revealed high rates of poor glycemic control, overweight and obesity, and medication prescription. This study provides a preliminary sketch of type 2 diabetes in an indigenous Guatemalan population. Combined qualitative and quantitative data point towards particular needs for implementation and future research, including the need to address gaps in diabetes knowledge, to improve social support systems, and to address the cost barriers associated with disease treatment.