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Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes
PURPOSE OF REVIEW: This 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 FINDINGS: HITs may be promising in diabetes management. However, findings on ef...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209028/ https://www.ncbi.nlm.nih.gov/pubmed/30338403 http://dx.doi.org/10.1007/s11892-018-1105-2 |
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author | Yoshida, Yilin Boren, Suzanne A. Soares, Jesus Popescu, Mihail Nielson, Stephen D. Simoes, Eduardo J. |
author_facet | Yoshida, Yilin Boren, Suzanne A. Soares, Jesus Popescu, Mihail Nielson, Stephen D. Simoes, Eduardo J. |
author_sort | Yoshida, Yilin |
collection | PubMed |
description | PURPOSE OF REVIEW: This 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 FINDINGS: HITs 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). SUMMARY: We 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11892-018-1105-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6209028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-62090282018-11-13 Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes Yoshida, Yilin Boren, Suzanne A. Soares, Jesus Popescu, Mihail Nielson, Stephen D. Simoes, Eduardo J. Curr Diab Rep Therapies and New Technologies in the Treatment of Diabetes (M Pietropaolo, Section Editor) PURPOSE OF REVIEW: This 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 FINDINGS: HITs 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). SUMMARY: We 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11892-018-1105-2) contains supplementary material, which is available to authorized users. Springer US 2018-10-18 2018 /pmc/articles/PMC6209028/ /pubmed/30338403 http://dx.doi.org/10.1007/s11892-018-1105-2 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Therapies and New Technologies in the Treatment of Diabetes (M Pietropaolo, Section Editor) Yoshida, Yilin Boren, Suzanne A. Soares, Jesus Popescu, Mihail Nielson, Stephen D. Simoes, Eduardo J. Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes |
title | Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes |
title_full | Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes |
title_fullStr | Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes |
title_full_unstemmed | Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes |
title_short | Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes |
title_sort | effect of health information technologies on glycemic control among patients with type 2 diabetes |
topic | Therapies and New Technologies in the Treatment of Diabetes (M Pietropaolo, Section Editor) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209028/ https://www.ncbi.nlm.nih.gov/pubmed/30338403 http://dx.doi.org/10.1007/s11892-018-1105-2 |
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