Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1783414404165926912 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6486904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yoshidayilin effectofhealthinformationtechnologiesoncardiovascularriskfactorsamongpatientswithdiabetes AT borensuzannea effectofhealthinformationtechnologiesoncardiovascularriskfactorsamongpatientswithdiabetes AT soaresjesus effectofhealthinformationtechnologiesoncardiovascularriskfactorsamongpatientswithdiabetes AT popescumihail effectofhealthinformationtechnologiesoncardiovascularriskfactorsamongpatientswithdiabetes AT nielsonstephend effectofhealthinformationtechnologiesoncardiovascularriskfactorsamongpatientswithdiabetes AT koopmanrichellej effectofhealthinformationtechnologiesoncardiovascularriskfactorsamongpatientswithdiabetes AT kennedydianar effectofhealthinformationtechnologiesoncardiovascularriskfactorsamongpatientswithdiabetes AT simoeseduardoj effectofhealthinformationtechnologiesoncardiovascularriskfactorsamongpatientswithdiabetes |