RESUMEN
Antimicrobial resistance resulting from antibiotic overuse represents an increasing public health challenge. The purpose of this study was to investigate antibiotic self-medication practices in a rural, indigenous Guatemalan population, and to compare self-prescribing patterns in rural and semi-urban populations using a One Health integrated approach, a framework acknowledging that health arises at the interface of humans, animals, and the environment. We conducted a mixed methods study using semi-structured interviews in and around San Lucas Tolimán, Guatemala. Antibiotic self-medication was common in both rural and semi-urban populations, regardless of demographic characteristics. Antibiotic usage in animals, while less common, almost always occurred without a veterinary consult. Although subjects recognized that self-medication could be harmful to health, they face significant barriers to accessing appropriate care. These patterns of use have impacts on the rise of antimicrobial resistance locally, and have the potential to contribute to the spread of such resistance globally.
Asunto(s)
Antibacterianos , Salud Única , Antibacterianos/uso terapéutico , Guatemala , Humanos , Población Rural , Población UrbanaRESUMEN
BACKGROUND: The global prevalence of diabetes has nearly doubled since 1980. Seventy-five percent of patients with diabetes live in low- and middle-income countries, such as Guatemala, where health care systems are often poorly equipped for chronic disease management. Community health workers (CHWs) and mobile health technology have increasingly been applied to the diabetes epidemic in these settings, although mostly in supportive rather than primary roles in diabetes management. We sought to improve diabetes care in rural Guatemala through the development of a CHW-led diabetes program and a smartphone application to provide CHWs with clinical decision support. METHODS: We worked with our local partners to develop a program model and the smartphone application (using the CommCare platform) and to train CHWs. We recruited patients with type 2 diabetes living in rural communities. Program evaluation used a single-group, pre-post design. Primary outcomes were hemoglobin A1c and the percentage of patients meeting A1c goals compared with baseline. We also followed a variety of process metrics, including application reliability. RESULTS: Eighty-nine patients enrolled during the study period. The hemoglobin A1c percentage decreased significantly at 3 months (-1.0; 95% CI=-1.7, -0.6), 6 months (-1.5; 95% CI=-2.2, -0.8), 9 months (-1.3; 95% CI=-2.0, -0.6), and 12 months (-1.0; 95% CI=-1.7, -0.4). The percentage of patients with A1c ≤ 8% increased significantly at 3 months (23.6% to 44.4%, P=.007), 6 months (22.0% to 44.0%, P=.015), and 9 months (23.9% to 45.7%, P=.03). CHWs and supervising physicians agreed with application medication recommendations >90% of the time. CONCLUSION: Our results suggest that CHWs can safely and effectively manage diabetes with the assistance of a smartphone application and remote physician supervision. This model should be evaluated versus other standards of care and could be adapted to other low-resource settings and chronic diseases.