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Dulce Wireless Tijuana: A Randomized Control Trial Evaluating the Impact of Project Dulce and Short-Term Mobile
María Cecilia Anzaldo-Campos1, Sonia Contreras2,3, Adriana Vargas-Ojeda2
11 Family Medical Unit #27, Mexican Institute of Social Security , Tijuana, Baja California, Mexico .
Background:
The global epidemic of diabetes calls for innovative interventions. This study evaluated the effectiveness of the Project Dulce model, with and without wireless technology, on glycemic control and other clinical and self-reported outcomes in patients with poorly controlled type 2 diabetes in Mexico.
Subjects And Methods:
Adults with type 2 diabetes and a glycated hemoglobin A1c (HbA1c) level of ≥8% were recruited from Family Medical Unit #27 of the Instituto Mexicano del Seguro Social (IMSS) in Tijuana, México, and randomly assigned to one of three groups: Project Dulce-only (PD); Project Dulce technology-enhanced with mobile tools (PD-TE); or IMSS standard of care/control group (CG). Clinical and self-reported outcomes were assessed at baseline, Month 4, and Month 10. Time-by-group interactions and within-group changes were analyzed.
Results:
HbA1c reductions from baseline to Month 10 were significantly greater in PD-TE (-3.0% [-33 mmol/mol]) and PD (-2.6% [-28.7 mmol/mol]) compared with CG (-1.3% [-14.2 mmol/mol]) (P = 0.009 and 0.001, respectively). PD-TE and PD also exhibited significant improvement in diabetes knowledge when compared with CG (P < 0.05 for both). No statistically significant differences were detected between PD and PD-TE on these indicators (P = 0.54 and 0.86, respectively). Several within-group improvements were observed on other clinical and self-report indicators but did not vary significantly across groups.
Conclusions:
Project Dulce with and without wireless technology substantially improved glycemic control and diabetes knowledge in high-risk patients with type 2 diabetes in a Mexican family medical unit, suggesting that integrating peer-led education, nurse coordination, and 3G wireless technology is an effective approach for improving diabetes outcomes in high-risk populations.
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