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Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes

PURPOSE OF REVIEW: To identify a common effect of health information technologies (HIT) on the management of cardiovascular disease (CVD) risk factors among people with type 2 diabetes (T2D) across randomized control trials (RCT). RECENT FINDINGS: CVD is the most frequent cause of morbidity and mort...

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Autores principales: Yoshida, Yilin, Boren, Suzanne A., Soares, Jesus, Popescu, Mihail, Nielson, Stephen D., Koopman, Richelle J., Kennedy, Diana R., Simoes, Eduardo J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486904/
https://www.ncbi.nlm.nih.gov/pubmed/31030289
http://dx.doi.org/10.1007/s11892-019-1152-3
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author Yoshida, Yilin
Boren, Suzanne A.
Soares, Jesus
Popescu, Mihail
Nielson, Stephen D.
Koopman, Richelle J.
Kennedy, Diana R.
Simoes, Eduardo J.
author_facet Yoshida, Yilin
Boren, Suzanne A.
Soares, Jesus
Popescu, Mihail
Nielson, Stephen D.
Koopman, Richelle J.
Kennedy, Diana R.
Simoes, Eduardo J.
author_sort Yoshida, Yilin
collection PubMed
description PURPOSE OF REVIEW: To identify a common effect of health information technologies (HIT) on the management of cardiovascular disease (CVD) risk factors among people with type 2 diabetes (T2D) across randomized control trials (RCT). RECENT FINDINGS: CVD is the most frequent cause of morbidity and mortality among patients with diabetes. HIT are effective in reducing HbA1c; however, their effect on cardiovascular risk factor management for patients with T2D has not been evaluated. SUMMARY: We identified 21 eligible studies (23 estimates) with measurement of SBP, 20 (22 estimates) of DBP, 14 (17 estimates) of HDL, 14 (17 estimates) of LDL, 15 (18 estimates) of triglycerides, and 10 (12 estimates) of weight across databases. We found significant reductions in SBP, DBP, LDL, and TG, and a significant improvement in HDL associated with HIT. As adjuvants to standard diabetic treatment, HIT can be effective tools for improving CVD risk factors among patients with T2D, especially in those whose CVD risk factors are not at goal. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11892-019-1152-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-64869042019-05-15 Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes Yoshida, Yilin Boren, Suzanne A. Soares, Jesus Popescu, Mihail Nielson, Stephen D. Koopman, Richelle J. Kennedy, Diana R. Simoes, Eduardo J. Curr Diab Rep Macrovascular Complications in Diabetes (VR Aroda and A Getaneh, Section Editors) PURPOSE OF REVIEW: To identify a common effect of health information technologies (HIT) on the management of cardiovascular disease (CVD) risk factors among people with type 2 diabetes (T2D) across randomized control trials (RCT). RECENT FINDINGS: CVD is the most frequent cause of morbidity and mortality among patients with diabetes. HIT are effective in reducing HbA1c; however, their effect on cardiovascular risk factor management for patients with T2D has not been evaluated. SUMMARY: We identified 21 eligible studies (23 estimates) with measurement of SBP, 20 (22 estimates) of DBP, 14 (17 estimates) of HDL, 14 (17 estimates) of LDL, 15 (18 estimates) of triglycerides, and 10 (12 estimates) of weight across databases. We found significant reductions in SBP, DBP, LDL, and TG, and a significant improvement in HDL associated with HIT. As adjuvants to standard diabetic treatment, HIT can be effective tools for improving CVD risk factors among patients with T2D, especially in those whose CVD risk factors are not at goal. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11892-019-1152-3) contains supplementary material, which is available to authorized users. Springer US 2019-04-27 2019 /pmc/articles/PMC6486904/ /pubmed/31030289 http://dx.doi.org/10.1007/s11892-019-1152-3 Text en © The Author(s) 2019 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 Macrovascular Complications in Diabetes (VR Aroda and A Getaneh, Section Editors)
Yoshida, Yilin
Boren, Suzanne A.
Soares, Jesus
Popescu, Mihail
Nielson, Stephen D.
Koopman, Richelle J.
Kennedy, Diana R.
Simoes, Eduardo J.
Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes
title Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes
title_full Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes
title_fullStr Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes
title_full_unstemmed Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes
title_short Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes
title_sort effect of health information technologies on cardiovascular risk factors among patients with diabetes
topic Macrovascular Complications in Diabetes (VR Aroda and A Getaneh, Section Editors)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486904/
https://www.ncbi.nlm.nih.gov/pubmed/31030289
http://dx.doi.org/10.1007/s11892-019-1152-3
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