Aspirin for Secondary Prevention of Cardiovascular Disease in 51 Low-, Middle-, and High-Income Countries.

Importance: 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. Objective: To report and evaluate aspirin use for secondary prevention of CVD across low-, middle-, and high-income countries. Design, Setting, and Participants: 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. Exposures: Countries' per capita income levels and world region; individuals' socioeconomic demographics. Main Outcomes and Measures: Self-reported use of aspirin for secondary prevention of CVD. Results: 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. Conclusion and Relevance: 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.

Improving the experience of facility-based delivery for vulnerable women through obstetric care navigation: a qualitative evaluation.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Implementation of a Diabetes Self-Management Education and Support Intervention in Rural Guatemala: A Mixed-Methods Evaluation Using the RE-AIM Framework.

INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Collecting Infant Environmental and Experiential Data Using Smartphone Surveys.

We propose that the collection of infant experiential and environmental data using smartphone surveys has the potential to fill a gap in foundational and clinical knowledge. To achieve this, these data need to be collected in a systematic way that is translatable globally. We can then begin to understand differences in child development and physical therapy from a variety of cultures and traditions. An infant's development is shaped by experiences in everyday life, and everyday experiences vary around the world. Hence, it is important to quantify these experiences to better understand variability in developmental trajectories. Recent increase in smartphone access has made the capability of collecting infant experiential data more feasible around the world. We provide examples and suggestions for ways in which experiential and environmental data can be collected for future practice.

Health system interventions for adults with type 2 diabetes in low- and middle-income countries: A systematic review and meta-analysis.

BACKGROUND: 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. METHODS AND FINDINGS: 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. CONCLUSIONS: 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.

Feasibility of satellite image and GIS sampling for population representative surveys: a case study from rural Guatemala.

BACKGROUND: Population-representative household survey methods require up-to-date sampling frames and sample designs that minimize time and cost of fieldwork especially in low- and middle-income countries. Traditional methods such as multi-stage cluster sampling, random-walk, or spatial sampling can be cumbersome, costly or inaccurate, leading to well-known biases. However, a new tool, Epicentre's Geo-Sampler program, allows simple random sampling of structures, which can eliminate some of these biases. We describe the study design process, experiences and lessons learned using Geo-Sampler for selection of a population representative sample for a kidney disease survey in two sites in Guatemala. RESULTS: We successfully used Epicentre's Geo-sampler tool to sample 650 structures in two semi-urban Guatemalan communities. Overall, 82% of sampled structures were residential and could be approached for recruitment. Sample selection could be conducted by one person after 30 min of training. The process from sample selection to creating field maps took approximately 40 h. CONCLUSION: In combination with our design protocols, the Epicentre Geo-Sampler tool provided a feasible, rapid and lower-cost alternative to select a representative population sample for a prevalence survey in our semi-urban Guatemalan setting. The tool may work less well in settings with heavy arboreal cover or densely populated urban settings with multiple living units per structure. Similarly, while the method is an efficient step forward for including non-traditional living arrangements (people residing permanently or temporarily in businesses, religious institutions or other structures), it does not account for some of the most marginalized and vulnerable people in a population-the unhoused, street dwellers or people living in vehicles.

Challenges in the provision of kidney care at the largest public nephrology center in Guatemala: a qualitative study with health professionals.

BACKGROUND: Chronic kidney disease (CKD) is increasing worldwide, and the majority of the CKD burden is in low- and middle-income countries (LMICs). However, there is wide variability in global access to kidney care therapies such as dialysis and kidney transplantation. The challenges health professionals experience while providing kidney care in LMICs have not been well described. The goal of this study is to elicit health professionals' perceptions of providing kidney care in a resource-constrained environment, strategies for dealing with resource limitations, and suggestions for improving kidney care in Guatemala. METHODS: Semi-structured interviews were performed with 21 health professionals recruited through convenience sampling at the largest public nephrology center in Guatemala. Health professionals included administrators, physicians, nurses, technicians, nutritionists, psychologists, laboratory personnel, and social workers. Interviews were recorded and transcribed in Spanish. Qualitative data from interviews were analyzed in NVivo using an inductive approach, allowing dominant themes to emerge from interview transcriptions. RESULTS: Health professionals most frequently described challenges in providing high-quality care due to resource limitations. Reducing the frequency of hemodialysis, encouraging patients to opt for peritoneal dialysis rather than hemodialysis, and allocating resources based on clinical acuity were common strategies for reconciling high demand and limited resources. Providers experienced significant emotional challenges related to high patient volume and difficult decisions on resource allocation, leading to burnout and moral distress. To improve care, respondents suggested increased budgets for equipment and personnel, investments in preventative services, and decentralization of services. CONCLUSIONS: Health professionals at the largest public nephrology center in Guatemala described multiple strategies to meet the rising demand for renal replacement therapy. Due to systems-level limitations, health professionals faced difficult choices on the stewardship of resources that are linked to sentiments of burnout and moral distress. This study offers important lessons in Guatemala and other countries seeking to build capacity to scale-up kidney care.

mHealth intervention to improve the continuum of maternal and perinatal care in rural Guatemala: a pragmatic, randomized controlled feasibility trial.

BACKGROUND/OBJECTIVE: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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. TRIAL REGISTRATION: Clinicaltrials.gov NCT02348840 .

Perceptions and utilization of generic medicines in Guatemala: a mixed-methods study with physicians and pharmacy staff.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

A quality improvement project using statistical process control methods for type 2 diabetes control in a resource-limited setting.

QUALITY ISSUE: 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. INITIAL ASSESSMENT: Formative research suggested multiple areas for programmatic improvement in ambulatory diabetes care. CHOICE OF SOLUTION: This project utilized the Model for Improvement and Agile Global Health, our organization's complementary healthcare implementation framework. IMPLEMENTATION: A bundle of improvement activities were implemented at the home, clinic and institutional level. EVALUATION: 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. LESSONS LEARNED: 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.

Obstetric care navigation: a new approach to promote respectful maternity care and overcome barriers to safe motherhood.

BACKGROUND: 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. OBSTETRIC CARE NAVIGATION: 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. CONCLUSION: 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.

A Home-Based Type 2 Diabetes Self-Management Intervention in Rural Guatemala.

INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Argininemia as a cause of severe chronic stunting in a low-resource developing country setting: a case report.

BACKGROUND: Argininemia is rare inborn error of metabolism which, when untreated, presents in late infancy with growth delay and developmental regression. In developed countries, argininemia is diagnosed early by newborn screening and is treated immediately with a protein-restricted diet. In developing countries, diagnosis may be delayed by the assumption that stunting is related to malnutrition alone. CASE PRESENTATION: We describe the diagnosis and treatment of argininemia in a 60-month-old Kaqchikel Maya girl in rural Guatemala. The patient initially presented with severe stunting and developmental regression. The initial diagnosis of argininemia was made by a screening test in dried blood spots and confirmed with urine and serum amino acid profiles. The patient was treated with a low-protein diet using locally available foods, leading to significant improvement in her growth and development. CONCLUSIONS: This case demonstrates that the identification, diagnosis and treatment of IEM in developing countries are increasingly feasible, as well as ethically imperative. Providers working with malnourished children in developing countries should suspect IEM in malnourished children who do not respond to standard therapies.

Mixed-methods study identifies key strategies for improving infant and young child feeding practices in a highly stunted rural indigenous population in Guatemala.

Guatemala's rural indigenous population suffers from one of the highest rates of chronic child malnutrition (stunting) in the world. Successfully addressing stunting requires defining the barriers to and opportunities for new behaviour-change initiatives. We undertook a mixed-methods assessment of feeding practices and food purchasing behaviours around infants and young children aged 6-36 months in two rural indigenous Guatemalan communities. We found that most caregivers were aware only of acute forms of child malnutrition and that they greatly underestimated the local prevalence of malnutrition. Despite moderate adherence to exclusive breastfeeding and timing of complementary food introduction, diets had poor diversity and inadequate meal frequency. Furthermore, perceptions of food insecurity were high even in the presence of land ownership and agricultural production. Although fortified foods were highly valued, they were considered expensive. At the same time, proportionally equivalent amounts of money were spent on junk foods or other processed foods by most participants. Biological mothers often lacked autonomy for food purchasing and nutritional decisions because of the power exerted by husbands and paternal grandmothers. Our findings suggest several creative and community-based programming initiatives including education about the acute vs. chronic malnutrition distinction, engaging landowners in discussions about domestic food consumption, engaging with caregivers to redirect funds towards fortified foods rather than junk food purchases and directing behaviour-change initiatives towards all household stakeholders.

Assessing child development scores among minority and Indigenous language versus dominant language speakers: a cross-sectional analysis of national Multiple Indicator Cluster Surveys.

BACKGROUND: Multiple studies have highlighted the inequities minority and Indigenous children face when accessing health care. Health and wellbeing are positively impacted when Indigenous children are educated and receive care in their maternal language. However, less is known about the association between minority or Indigenous language use and child development risks and outcomes. In this study, we provide global estimates of development risks and assess the associations between minority or Indigenous language status and early child development using the ten-item Early Child Development Index (ECDI), a tool widely used for global population assessments in children aged 3-4 years. METHODS: We did a secondary analysis of cross-sectional data from 65 UNICEF Multiple Indicator Cluster Surveys (MICS) containing the ECDI from 2009-19 (waves 4-6). We included individual-level data for children aged 2-4 years (23-60 months) from datasets with ECDI modules, for surveys that captured the language of the respondent, interview, or head of household. The Expanded Graded Intergenerational Disruption Scale was used to classify household languages as dominant versus minority or Indigenous at the country level. Our primary outcome was on-track overall development, defined per UNICEF's guidelines as development being on track for at least three of the four ECDI domains (literacy-numeracy, learning, physical, and socioemotional). We performed logistic regression of pooled, weighted ECDI scores, aggregated by language status and adjusting for the covariables of child sex, child nutritional status (stunting), household wealth, maternal education, developmental support by an adult caregiver, and country-level early child education proportion. Regression analyses were done for all children aged 3-4 years with ECDI results, and separately for children with functional disabilities and ECDI results. FINDINGS: 65 MICS datasets were included. 186 393 children aged 3-4 years had ECDI and language data, corresponding to an estimated represented population of 34 714 992 individuals. Estimated prevalence of on-track overall development as measured by ECDI scores was 65·7% (95% CI 64·2-67·2) for children from a minority or Indigenous language-speaking household, and 76·6% (75·7-77·4) for those from a dominant language-speaking household. After adjustment, dominant language status was associated with increased odds of on-track overall development (adjusted OR 1·54, 95% CI 1·40-1·71), which appeared to be largely driven by significantly increased odds of on-track development in the literacy-numeracy and socioemotional domains. For the represented population aged 2-4 years (n=11 465 601), the estimated prevalence of family-reported functional disability was 3·6% (95% CI 3·0-4·4). For the represented population aged 3-4 years with a functional disability (n=292 691), language status was not associated with on-track overall development (adjusted OR 1·02, 95% CI 0·43-2·45). INTERPRETATION: In a global dataset, children speaking a minority or Indigenous language were less likely to have on-track ECDI scores than those speaking a dominant language. Given the strong positive benefits of speaking an Indigenous language on the health and development of Indigenous children, this disparity is likely to reflect the sociolinguistic marginalisation faced by speakers of minority or Indigenous languages as well as differences in the performance of ECDI in these languages. Global efforts should consider performance of measures and monitor developmental data disaggregated by language status to stimulate efforts to address this disparity. FUNDING: None. TRANSLATIONS: For the Spanish, Kaqchikel and K'iche' translations of the abstract see Supplementary Materials section.

A biosocial analysis of perinatal and late neonatal mortality among Indigenous Maya Kaqchikel communities in Tecpán, Guatemala: a mixed-methods study.

INTRODUCTION: Neonatal mortality is a global public health challenge. Guatemala has the fifth highest neonatal mortality rate in Latin America, and Indigenous communities are particularly impacted. This study aims to understand factors driving neonatal mortality rates among Maya Kaqchikel communities. METHODS: We used sequential explanatory mixed methods. The quantitative phase was a secondary analysis of 2014-2016 data from the Global Maternal and Newborn Health Registry from Chimaltenango, Guatemala. Multivariate logistic regression models identified factors associated with perinatal and late neonatal mortality. A number of 33 in-depth interviews were conducted with mothers, traditional Maya midwives and local healthcare professionals to explain quantitative findings. RESULTS: Of 33 759 observations, 351 were lost to follow-up. There were 32 559 live births, 670 stillbirths (20/1000 births), 1265 (38/1000 births) perinatal deaths and 409 (12/1000 live births) late neonatal deaths. Factors identified to have statistically significant associations with a higher risk of perinatal or late neonatal mortality include lack of maternal education, maternal height <140 cm, maternal age under 20 or above 35, attending less than four antenatal visits, delivering without a skilled attendant, delivering at a health facility, preterm birth, congenital anomalies and presence of other obstetrical complications. Qualitative participants linked severe mental and emotional distress and inadequate maternal nutrition to heightened neonatal vulnerability. They also highlighted that mistrust in the healthcare system-fueled by language barriers and healthcare workers' use of coercive authority-delayed hospital presentations. They provided examples of cooperative relationships between traditional midwives and healthcare staff that resulted in positive outcomes. CONCLUSION: Structural social forces influence neonatal vulnerability in rural Guatemala. When coupled with healthcare system shortcomings, these forces increase mistrust and mortality. Collaborative relationships among healthcare staff, traditional midwives and families may disrupt this cycle.

Prevalence of diabetes among Indigenous women in Guatemala: A retrospective chart review study of 13 643 patients between 2015-2022.

There are limited data on diabetes among Indigenous populations in Guatemala. In a retrospective chart review of a clinical program serving more than 13 000 primarily Indigenous women in Guatemala, age-adjusted diabetes prevalence was 7.9% (95% CI: 7.3 to 8.5), and 37.9% (95% CI: 35.1 to 40.8%) of women were undiagnosed.

Early full-day leg movement kinematics and swaddling patterns in infants in rural Guatemala: A pilot study.

BACKGROUND: Tools to accurately assess infants' neurodevelopmental status very early in their lives are limited. Wearable sensors may provide a novel approach for very early assessment of infant neurodevelopmental status. This may be especially relevant in rural and low-resource global settings. METHODS: We conducted a longitudinal observational study and used wearable sensors to repeatedly measure the kinematic leg movement characteristics of 41 infants in rural Guatemala three times across full days between birth and 6 months of age. In addition, we collected sociodemographic data, growth data, and caregiver estimates of swaddling behaviors. We used visual analysis and multivariable linear mixed models to evaluate the associations between two leg movement kinematic variables (awake movement rate, peak acceleration per movement) and infant age, swaddling behaviors, growth, and other covariates. RESULTS: Multivariable mixed models of sensor data showed age-dependent increases in leg movement rates (2.16 [95% CI 0.80,3.52] movements/awake hour/day of life) and movement acceleration (5.04e-3 m/s2 [95% CI 3.79e-3, 6.27e-3]/day of life). Swaddling time as well as growth status, poverty status and multiple other clinical and sociodemographic variables had no impact on either movement variable. CONCLUSIONS: Collecting wearable sensor data on young infants in a rural low-resource setting is feasible and can be used to monitor age-dependent changes in movement kinematics. Future work will evaluate associations between these kinematic variables from sensors and formal developmental measures, such as the Bayley Scales of Infant and Toddler Development.

Impact of COVID-19 on diabetes care: mixed methods study in an Indigenous area of Guatemala.

INTRODUCTION: SARS-CoV-2 has impacted globally the care of chronic diseases. However, direct evidence from certain vulnerable communities, such as Indigenous communities in Latin America, is missing. We use observational data from a health district that primarily serves people of Maya K'iche' ethnicity to examine the care of type 2 diabetes in Guatemala during the pandemic. METHODS: We used a parallel convergent mixed methods design. Quantitative data (n=142 individuals with diabetes) included glycated haemoglobin (HbA1c), blood pressure, body mass index and questionnaires on diabetes knowledge, self-care and diabetes distress. Quantitative data was collected at two points, at baseline and after COVID restrictions were lifted. For quantitative outcomes, we constructed multilevel mixed effects models with multiple imputation for missing data. Qualitative data included interviews with providers, supervisors and individuals living with diabetes (n=20). We conducted thematic framework analysis using an inductive approach. RESULTS: Quantitative data was collected between June 2019 and February 2021, with a median of 487 days between data collection points. HbA1c worsened +0.54% (95% CI, 0.14 to 0.94) and knowledge about diabetes decreased -3.54 points (95% CI, -4.56 to -2.51). Qualitatively, the most important impact of the pandemic was interruption of the regular timing of home visits and peer group meetings which were the standard of care. CONCLUSIONS: The deterioration of diabetes care was primarily attributed to the loss of regular contact with healthcare workers. The results emphasize the vulnerability of rural and Indigenous populations in Latin America to the suspension of chronic disease care.

Implementing integrated hypertension and diabetes management using the World Health Organization's HEARTS model: protocol for a pilot study in the Guatemalan national primary care system.

BACKGROUND: 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. METHODS: 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. DISCUSSION: 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. TRIAL REGISTRATION: ClinicalTrials.gov ID NCT06080451. The trial was prospectively registered on October 12, 2023.