Literature DB >> 33361237

Using Community Health Workers and a Smartphone Application to Improve Diabetes Control in Rural Guatemala.

Sean Duffy1, Derek Norton2, Mark Kelly3, Alejandro Chavez4, Rafael Tun5, Mariana Niño de Guzmán Ramírez6, Guanhua Chen2, Paul Wise4, Jim Svenson7.   

Abstract

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. © Duffy et al.

Entities:  

Year:  2020        PMID: 33361237      PMCID: PMC7784066          DOI: 10.9745/GHSP-D-20-00076

Source DB:  PubMed          Journal:  Glob Health Sci Pract        ISSN: 2169-575X


  50 in total

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Review 4.  The incidence of mild and severe hypoglycaemia in patients with type 2 diabetes mellitus treated with sulfonylureas: a systematic review and meta-analysis.

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Journal:  Diabetes Metab Res Rev       Date:  2014-01       Impact factor: 4.876

5.  Risk of hypoglycaemia in types 1 and 2 diabetes: effects of treatment modalities and their duration.

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Journal:  Diabetologia       Date:  2007-04-06       Impact factor: 10.122

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Journal:  BMC Public Health       Date:  2015-05-06       Impact factor: 3.295

7.  Erratum. Microvascular Complications and Foot Care. Sec. 10. In Standards of Medical Care in Diabetes-2017. Diabetes Care 2017;40(Suppl. 1);S88-S98.

Authors: 
Journal:  Diabetes Care       Date:  2017-05-18       Impact factor: 19.112

Review 8.  Task shifting for non-communicable disease management in low and middle income countries--a systematic review.

Authors:  Rohina Joshi; Mohammed Alim; Andre Pascal Kengne; Stephen Jan; Pallab K Maulik; David Peiris; Anushka A Patel
Journal:  PLoS One       Date:  2014-08-14       Impact factor: 3.240

9.  Mitigation of non-communicable diseases in developing countries with community health workers.

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Journal:  Global Health       Date:  2015-11-10       Impact factor: 4.185

Review 10.  What Does It Take to Be an Effective National Steward of Digital Health Integration for Health Systems Strengthening in Low- and Middle-Income Countries?

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Journal:  Glob Health Sci Pract       Date:  2018-10-10
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