Do health information technology self-management interventions improve glycemic control in medically underserved adults with diabetes? A systematic review and meta-analysis.

Category Systematic review
Journal Journal of the American Medical Informatics Association : JAMIA
Year 2017


OBJECTIVE: The purpose of this systematic review and meta-analysis was to examine the effect of health information technology (HIT) diabetes self-management education (DSME) interventions on glycemic control in medically underserved patients. MATERIALS AND METHODS: Following an a priori protocol, 5 databases were searched. Studies were appraised for quality using the Cochrane Risk of Bias assessment. Studies reporting either hemoglobin A1c pre- and post-intervention or its change at 6 or 12 months were eligible for inclusion in the meta-analysis using random effects models. RESULTS: Thirteen studies met the criteria for the systematic review and 10 for the meta-analysis and represent data from 3257 adults with diabetes (mean age 55 years; 66% female; 74% racial/ethnic minorities). Most studies ( n  = 10) reflected an unclear risk of bias. Interventions varied by HIT type: computer software without Internet ( n  = 2), cellular/automated telephone ( n  = 4), Internet-based ( n  = 4), and telemedicine/telehealth ( n  = 3). Pooled A1c decreases were found at 6 months (-0.36 (95% CI, -0.53 and -0.19]; I 2  = 35.1%, Q  = 5.0), with diminishing effect at 12 months (-0.27 [95% CI, -0.49 and -0.04]; I 2  = 42.4%, Q  = 10.4). DISCUSSION: Findings suggest that medically underserved patients with diabetes achieve glycemic benefit following HIT DSME interventions, with dissipating but significant effects at 12 months. Telemedicine/telehealth interventions were the most successful HIT type because they incorporated interaction with educators similar to in-person DSME. CONCLUSION: These results are similar to in-person DSME in medically underserved patients, showing that well-designed HIT DSME has the potential to increase access and improve outcomes for this vulnerable group.

Epistemonikos ID: 74910bd767867dca8cee2f06b7532a32f2db4cf8