Prevalence of Hypertension, Diabetes, and Other Cardiovascular Disease Risk Factors in Two Indigenous Municipalities in Rural Guatemala: A Population-Representative Survey.

Background: Nearly 50% of Guatemalans are Indigenous Maya, yet few studies have examined the prevalence of modifiable cardiovascular disease (CVD) risk factors in Indigenous Maya populations. Therefore, we sought to estimate the prevalence of modifiable CVD risk factors in two Indigenous Maya areas in Guatemala. Methods: We conducted, between June 2018 and October 2019, a population-representative survey of adults aged 18 years and older in two rural Indigenous Maya municipalities in Guatemala. Our primary outcomes were five modifiable CVD risk factors: diabetes, hypertension, obesity, smoking, and alcohol use. We estimated the crude and age-standardized prevalence of each outcome. We also constructed multivariable logistic regression models to assess prevalence over covariates including age, sex, education level, ethnicity, and poverty. Sampling weights adjusted for nonresponse, and appropriate survey commands were used in all analyses. Results: The crude prevalence of diabetes was 12.5% (95% confidence Interval [CI] 9.6% to 16.1%), hypertension 20.3% (95% CI 17.1% to 23.9%), obesity 23.7% (95% CI 19.4% to 28.6%), smoking 10.7% (95% CI 7.8% to 14.5%), and high alcohol use 0.9% (95% CI 0.5% to 1.6%). Age-standardized prevalence of each outcome was similar to the crude prevalence. The prevalence of multiple CVD risk factors increased between the age groups 18-29 years and 50-59 years before decreasing among older age groups. Men had twenty-fold higher smoking prevalence than women (20.5% vs. 1.2%, respectively) and women had nearly double the age-adjusted prevalence of obesity as men (30.1% vs. 17.0%, respectively). Conclusion: There is a substantial prevalence of modifiable CVD risk factors in rural, Indigenous populations in Guatemala, in particular hypertension, diabetes, obesity (among women), and smoking (among men). These findings can help catalyze policy and clinical investments to improve the prevention, management, and control of CVD risk factors in these historically marginalized communities.

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.

Population Estimates of GFR and Risk Factors for CKD in Guatemala.

INTRODUCTION: Chronic kidney disease (CKD) is an emerging public health priority in Central America. However, data on the prevalence of CKD in Guatemala, Central America's most populous country, are limited, especially for rural communities. METHODS: We conducted a population-representative survey of 2 rural agricultural municipalities in Guatemala. We collected anthropometric data, blood pressure, serum and urine creatinine, glycosylated hemoglobin, and urine albumin. Sociodemographic, health, and exposure data were self-reported. RESULTS: We enrolled 807 individuals (63% of all eligible, 35% male, mean age 39.5 years). An estimated 4.0% (95% confidence interval [CI] 2.4-6.6) had CKD, defined as an estimated glomerular filtration rate (eGFR) less than 60 ml/min per 1.73 m2. Most individuals with an eGFR below 60 ml/min per 1.73 m2 had diabetes or hypertension. In multivariable analysis, the important factors associated with risk for an eGFR less than 60 ml/min per 1.73 m2 included a history of diabetes or hypertension (adjusted odds ratio [aOR] 11.21; 95% CI 3.28-38.24), underweight (body mass index [BMI] <18.5) (aOR 21.09; 95% CI 2.05-217.0), and an interaction between sugar cane agriculture and poverty (aOR 1.10; 95% CI 1.01-1.19). CONCLUSIONS: In this population-based survey, most observed CKD was associated with diabetes and hypertension. These results emphasize the urgent public health need to address the emerging epidemic of diabetes, hypertension, and CKD in rural Guatemala. In addition, the association between CKD and sugar cane in individuals living in poverty provides some circumstantial evidence for existence of CKD of unknown etiology in the study communities, which requires further investigation.

An assessment of community health workers' ability to screen for cardiovascular disease risk with a simple, non-invasive risk assessment instrument in Bangladesh, Guatemala, Mexico, and South Africa: an observational study.

BACKGROUND: Cardiovascular disease contributes substantially to the non-communicable disease (NCD) burden in low-income and middle-income countries, which also often have substantial health personnel shortages. In this observational study we investigated whether community health workers could do community-based screenings to predict cardiovascular disease risk as effectively as could physicians or nurses, with a simple, non-invasive risk prediction indicator in low-income and middle-income countries. METHODS: This observation study was done in Bangladesh, Guatemala, Mexico, and South Africa. Each site recruited at least ten to 15 community health workers based on usual site-specific norms for required levels of education and language competency. Community health workers had to reside in the community where the screenings were done and had to be fluent in that community's predominant language. These workers were trained to calculate an absolute cardiovascular disease risk score with a previously validated simple, non-invasive screening indicator. Community health workers who successfully finished the training screened community residents aged 35-74 years without a previous diagnosis of hypertension, diabetes, or heart disease. Health professionals independently generated a second risk score with the same instrument and the two sets of scores were compared for agreement. The primary endpoint of this study was the level of direct agreement between risk scores assigned by the community health workers and the health professionals. FINDINGS: Of 68 community health worker trainees recruited between June 4, 2012, and Feb 8, 2013, 42 were deemed qualified to do fieldwork (15 in Bangladesh, eight in Guatemala, nine in Mexico, and ten in South Africa). Across all sites, 4383 community members were approached for participation and 4049 completed screening. The mean level of agreement between the two sets of risk scores was 96·8% (weighted κ=0·948, 95% CI 0·936-0·961) and community health workers showed that 263 (6%) of 4049 people had a 5-year cardiovascular disease risk of greater than 20%. INTERPRETATION: Health workers without formal professional training can be adequately trained to effectively screen for, and identify, people at high risk of cardiovascular disease. Using community health workers for this screening would free up trained health professionals in low-resource settings to do tasks that need high levels of formal, professional training.

The training and fieldwork experiences of community health workers conducting population-based, noninvasive screening for CVD in LMIC.

BACKGROUND: Cardiovascular disease (CVD) is on the rise in low- and middle-income countries and is proving difficult to combat due to the emphasis on improving outcomes in maternal and child health and infectious diseases against a backdrop of severe human resource and infrastructure constraints. Effective task-sharing from physicians or nurses to community health workers (CHW) to conduct population-based screening for persons at risk has the potential to mitigate the impact of CVD on vulnerable populations. CHW in Bangladesh, Guatemala, Mexico, and South Africa were trained to conduct noninvasive population-based screening for persons at high risk for CVD. OBJECTIVES: This study sought to quantitatively assess the performance of CHW during training and to qualitatively capture their training and fieldwork experiences while conducting noninvasive screening for CVD risk in their communities. METHODS: Written tests were used to assess CHW's acquisition of content knowledge during training, and focus group discussions were conducted to capture their training and fieldwork experiences. RESULTS: Training was effective at increasing the CHW's content knowledge of CVD, and this knowledge was largely retained up to 6 months after the completion of fieldwork. Common themes that need to be addressed when designing task-sharing with CHW in chronic diseases are identified, including language, respect, and compensation. The importance of having intimate knowledge of the community receiving services from design to implementation is underscored. CONCLUSIONS: Effective training for screening for CVD in community settings should have a strong didactic core that is supplemented with culture-specific adaptations in the delivery of instruction. The incorporation of expert and intimate knowledge of the communities themselves is critical, from the design to implementation phases of training. Challenges such as role definition, defining career paths, and providing adequate remuneration must be addressed.

Training and supervision of community health workers conducting population-based, noninvasive screening for CVD in LMIC: implications for scaling up.

BACKGROUND: Community health workers (CHW) can screen for cardiovascular disease risk as well as health professionals using a noninvasive screening tool. However, this demonstrated success does not guarantee effective scaling of the intervention to a population level. OBJECTIVES: This study sought to report lessons learned from supervisors' experiences monitoring CHW and perceptions of other stakeholders regarding features for successful scaling of interventions that incorporate task-sharing with CHW. METHODS: We conducted a qualitative analysis of in-depth interviews to explore stakeholder perceptions. Data was collected through interviews of 36 supervisors and administrators at nongovernmental organizations contracted to deliver and manage primary care services using CHW, directors, and staff at the government health care clinics, and officials from the departments of health responsible for the implementation of health policy. RESULTS: CHW are recognized for their value in offsetting severe human resource shortages and for their expert community knowledge. There is a lack of clear definitions for roles, expectations, and career paths for CHW. Formal evaluation and supervisory systems are highly desirable but nonexistent or poorly implemented, creating a critical deficit for effective implementation of programs using task-sharing. There is acknowledgment of environmental challenges (e.g., safety) and systemic challenges (e.g., respect from trained health professionals) that hamper the effectiveness of CHW. The government-community relationships presumed to form the basis of redesigned health care services have to be supported more explicitly and consistently on both sides in order to increase the acceptability of CHW and their effectiveness. CONCLUSIONS: The criteria critical for successful scaling of CHW-led screening are consistent with evidence for scaling-up communicable disease programs. Policy makers have to commit appropriate levels of resources and political will to ensure successful scaling of this intervention.