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

Abstract

IntroductionSARS-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.MethodsWe 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.ResultsQuantitative 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.ConclusionsThe 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.