RT Journal Article SR Electronic T1 Using Community Health Workers and a Smartphone Application to Improve Diabetes Control in Rural Guatemala JF Global Health: Science and Practice JO GLOB HEALTH SCI PRACT FD Johns Hopkins University- Global Health. Bloomberg School of Public Health, Center for Communication Programs SP 699 OP 720 DO 10.9745/GHSP-D-20-00076 VO 8 IS 4 A1 Duffy, Sean A1 Norton, Derek A1 Kelly, Mark A1 Chavez, Alejandro A1 Tun, Rafael A1 Ramírez, Mariana Niño de Guzmán A1 Chen, Guanhua A1 Wise, Paul A1 Svenson, Jim YR 2020 UL http://www.ghspjournal.org/content/8/4/699.abstract AB Key FindingsA smartphone application providing algorithmic clinical decision support enabled community health workers to improve diabetes control for a group of patients in rural Guatemala.Key ImplicationsProgram managers should consider equipping community health workers with clinical decision support applications to enable task sharing for chronic disease management.Researchers should examine the efficacy of this approach for chronic diseases other than diabetes and compared to traditional models of care.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.