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Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes
by
Yoshida, Yilin
, Nielson, Stephen D
, Popescu, Mihail
, Soares, Jesus
, Boren, Suzanne A
, Simoes, Eduardo J
in
Diabetes
2018
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Do you wish to request the book?
Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes
by
Yoshida, Yilin
, Nielson, Stephen D
, Popescu, Mihail
, Soares, Jesus
, Boren, Suzanne A
, Simoes, Eduardo J
in
Diabetes
2018
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Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes
Journal Article
Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes
2018
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Overview
Purpose of ReviewThis study was to present meta-analysis findings across selected clinical trials for the effect of health information technologies (HITs) on glycemic control among patients with type 2 diabetes.Recent FindingsHITs may be promising in diabetes management. However, findings on effect size of glycated hemoglobin level (HbA1c) yielded from HITs varied across previous studies. This is likely due to heterogeneity in sample size, adherence to standard quantitative method, and/or searching criteria (e.g., type of HITs, type of diabetes, specification of patient population, randomized vs. nonrandomized trials).SummaryWe systematically searched Medline, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and the Cochrane Library for peer-reviewed randomized control trials that studied the effect of HITs on HbA1c reduction. We also used Google Scholar and a hand search to identify additional studies. Thirty-four studies (40 estimates) met the criteria and were included in the analysis. Overall, introduction of HITs to standard diabetes treatment resulted in a statistically and clinically reduced HbA1c. The bias adjusted HbA1c reduction due to the combined HIT interventions was − 0.56 [Hedges’ g = − 0.56 (− 0.70, − 0.43)]. The reduction was significant across each of the four types of HIT intervention under review, with mobile phone-based approaches generating the largest effects [Hedges’ g was − 0.67 (− 0.90, − 0.45)]. HITs can be an effective tool for glycemic control among patients with type 2 diabetes. Future studies should examine long-term effects of HITs and explore factors that influence their effectiveness.
Publisher
Springer Nature B.V
Subject
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