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Impact of Information Technology–Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis
BACKGROUND: Information technology–based interventions are increasingly being used to manage health care. However, there is conflicting evidence regarding whether these interventions improve outcomes in people with type 2 diabetes. OBJECTIVE: The objective of this study was to conduct a systematic r...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5148808/ https://www.ncbi.nlm.nih.gov/pubmed/27888169 http://dx.doi.org/10.2196/jmir.5778 |
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author | Alharbi, Nouf Sahal Alsubki, Nada Jones, Simon Khunti, Kamlesh Munro, Neil de Lusignan, Simon |
author_facet | Alharbi, Nouf Sahal Alsubki, Nada Jones, Simon Khunti, Kamlesh Munro, Neil de Lusignan, Simon |
author_sort | Alharbi, Nouf Sahal |
collection | PubMed |
description | BACKGROUND: Information technology–based interventions are increasingly being used to manage health care. However, there is conflicting evidence regarding whether these interventions improve outcomes in people with type 2 diabetes. OBJECTIVE: The objective of this study was to conduct a systematic review and meta-analysis of clinical trials, assessing the impact of information technology on changes in the levels of hemoglobin A(1c) (HbA(1c)) and mapping the interventions with chronic care model (CCM) elements. METHODS: Electronic databases PubMed and EMBASE were searched to identify relevant studies that were published up until July 2016, a method that was supplemented by identifying articles from the references of the articles already selected using the electronic search tools. The study search and selection were performed by independent reviewers. Of the 1082 articles retrieved, 32 trials (focusing on a total of 40,454 patients) were included. A random-effects model was applied to estimate the pooled results. RESULTS: Information technology–based interventions were associated with a statistically significant reduction in HbA(1c) levels (mean difference −0.33%, 95% CI −0.40 to −0.26, P<.001). Studies focusing on electronic self-management systems demonstrated the largest reduction in HbA(1c) (0.50%), followed by those with electronic medical records (0.17%), an electronic decision support system (0.15%), and a diabetes registry (0.05%). In addition, the more CCM-incorporated the information technology–based interventions were, the more improvements there were in HbA(1c) levels. CONCLUSIONS: Information technology strategies combined with the other elements of chronic care models are associated with improved glycemic control in people with diabetes. No clinically relevant impact was observed on low-density lipoprotein levels and blood pressure, but there was evidence that the cost of care was lower. |
format | Online Article Text |
id | pubmed-5148808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-51488082016-12-20 Impact of Information Technology–Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis Alharbi, Nouf Sahal Alsubki, Nada Jones, Simon Khunti, Kamlesh Munro, Neil de Lusignan, Simon J Med Internet Res Original Paper BACKGROUND: Information technology–based interventions are increasingly being used to manage health care. However, there is conflicting evidence regarding whether these interventions improve outcomes in people with type 2 diabetes. OBJECTIVE: The objective of this study was to conduct a systematic review and meta-analysis of clinical trials, assessing the impact of information technology on changes in the levels of hemoglobin A(1c) (HbA(1c)) and mapping the interventions with chronic care model (CCM) elements. METHODS: Electronic databases PubMed and EMBASE were searched to identify relevant studies that were published up until July 2016, a method that was supplemented by identifying articles from the references of the articles already selected using the electronic search tools. The study search and selection were performed by independent reviewers. Of the 1082 articles retrieved, 32 trials (focusing on a total of 40,454 patients) were included. A random-effects model was applied to estimate the pooled results. RESULTS: Information technology–based interventions were associated with a statistically significant reduction in HbA(1c) levels (mean difference −0.33%, 95% CI −0.40 to −0.26, P<.001). Studies focusing on electronic self-management systems demonstrated the largest reduction in HbA(1c) (0.50%), followed by those with electronic medical records (0.17%), an electronic decision support system (0.15%), and a diabetes registry (0.05%). In addition, the more CCM-incorporated the information technology–based interventions were, the more improvements there were in HbA(1c) levels. CONCLUSIONS: Information technology strategies combined with the other elements of chronic care models are associated with improved glycemic control in people with diabetes. No clinically relevant impact was observed on low-density lipoprotein levels and blood pressure, but there was evidence that the cost of care was lower. JMIR Publications 2016-11-25 /pmc/articles/PMC5148808/ /pubmed/27888169 http://dx.doi.org/10.2196/jmir.5778 Text en ©Nouf Sahal Alharbi, Nada Alsubki, Simon Jones, Kamlesh Khunti, Neil Munro, Simon de Lusignan. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 25.11.2016. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Alharbi, Nouf Sahal Alsubki, Nada Jones, Simon Khunti, Kamlesh Munro, Neil de Lusignan, Simon Impact of Information Technology–Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis |
title | Impact of Information Technology–Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis |
title_full | Impact of Information Technology–Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis |
title_fullStr | Impact of Information Technology–Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis |
title_full_unstemmed | Impact of Information Technology–Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis |
title_short | Impact of Information Technology–Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis |
title_sort | impact of information technology–based interventions for type 2 diabetes mellitus on glycemic control: a systematic review and meta-analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5148808/ https://www.ncbi.nlm.nih.gov/pubmed/27888169 http://dx.doi.org/10.2196/jmir.5778 |
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