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Telemedicine application in patients with chronic disease: a systematic review and meta-analysis

BACKGROUND: Telemedicine has been widely used for long-term care and self-management in patients with chronic disease, but there is no consensus regarding the effect of telemedicine on chronic disease management. The aim of this study is to review and analyse the effect of telemedicine on the manage...

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Autores principales: Ma, Yue, Zhao, Chongbo, Zhao, Yan, Lu, Jiahong, Jiang, Hong, Cao, Yanpei, Xu, Yafang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017076/
https://www.ncbi.nlm.nih.gov/pubmed/35440082
http://dx.doi.org/10.1186/s12911-022-01845-2
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author Ma, Yue
Zhao, Chongbo
Zhao, Yan
Lu, Jiahong
Jiang, Hong
Cao, Yanpei
Xu, Yafang
author_facet Ma, Yue
Zhao, Chongbo
Zhao, Yan
Lu, Jiahong
Jiang, Hong
Cao, Yanpei
Xu, Yafang
author_sort Ma, Yue
collection PubMed
description BACKGROUND: Telemedicine has been widely used for long-term care and self-management in patients with chronic disease, but there is no consensus regarding the effect of telemedicine on chronic disease management. The aim of this study is to review and analyse the effect of telemedicine on the management of chronic diseases such as hypertension, diabetes, and rheumatoid arthritis using a systematic review and meta-analysis. METHODS: We performed a comprehensive literature search of the Web of Science, PubMed, MEDLINE, EMBASE, CNKI (Chinese database), VIP (Chinese database), WanFang (Chinese database), and SinoMed (Chinese database) databases from their inception until December 31, 2021. The retrieved literature was screened and assessed independently by two authors. We used the risk-of-bias assessment tool recommended by the Cochrane Handbook for Systematic Reviews of Interventions 5.0.2 for assessing literature quality and Revman 5.3 software to conduct the meta-analysis. RESULTS: Fifteen articles were included in this study. The results of the systematic review indicated that telemedicine consultation and telemonitoring are the most commonly used intervention methods. Telemedicine is helpful for improving self-management in patients with rheumatoid arthritis. The results of the meta-analysis showed patients’ index of glycosylated hemoglobin (HbA1c) improved after 12 months of intervention (MD =  − 0.84; 95% CI =  − 1.53, − 0.16; Z = 2.42; P = 0.02), and no significant differences in fasting blood glucose (FBG) levels were observed after 6 months of intervention (MD =  − 0.35; 95% CI =  − 0.75,0.06; Z = 1.69; P = 0.09). The results also showed that systolic blood pressure (MD =  − 6.71; 95% CI =  − 11.40, − 2.02; Z = 2.81; P = 0.005) was reduced after 6 months of intervention. CONCLUSION: Telemedicine had a positive effect on the management of diabetes, hypertension, and rheumatoid arthritis, especially when telemedicine consultation and telemonitoring method were used. When telemedicine was used as a disease management tool for patients with diabetes, the optimal intervention time is 12 months. Telemedicine improved the systolic blood pressure in hypertensive patients while also reducing negative emotions and enhancing medication adherence in rheumatoid arthritis patients.
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spelling pubmed-90170762022-04-19 Telemedicine application in patients with chronic disease: a systematic review and meta-analysis Ma, Yue Zhao, Chongbo Zhao, Yan Lu, Jiahong Jiang, Hong Cao, Yanpei Xu, Yafang BMC Med Inform Decis Mak Research BACKGROUND: Telemedicine has been widely used for long-term care and self-management in patients with chronic disease, but there is no consensus regarding the effect of telemedicine on chronic disease management. The aim of this study is to review and analyse the effect of telemedicine on the management of chronic diseases such as hypertension, diabetes, and rheumatoid arthritis using a systematic review and meta-analysis. METHODS: We performed a comprehensive literature search of the Web of Science, PubMed, MEDLINE, EMBASE, CNKI (Chinese database), VIP (Chinese database), WanFang (Chinese database), and SinoMed (Chinese database) databases from their inception until December 31, 2021. The retrieved literature was screened and assessed independently by two authors. We used the risk-of-bias assessment tool recommended by the Cochrane Handbook for Systematic Reviews of Interventions 5.0.2 for assessing literature quality and Revman 5.3 software to conduct the meta-analysis. RESULTS: Fifteen articles were included in this study. The results of the systematic review indicated that telemedicine consultation and telemonitoring are the most commonly used intervention methods. Telemedicine is helpful for improving self-management in patients with rheumatoid arthritis. The results of the meta-analysis showed patients’ index of glycosylated hemoglobin (HbA1c) improved after 12 months of intervention (MD =  − 0.84; 95% CI =  − 1.53, − 0.16; Z = 2.42; P = 0.02), and no significant differences in fasting blood glucose (FBG) levels were observed after 6 months of intervention (MD =  − 0.35; 95% CI =  − 0.75,0.06; Z = 1.69; P = 0.09). The results also showed that systolic blood pressure (MD =  − 6.71; 95% CI =  − 11.40, − 2.02; Z = 2.81; P = 0.005) was reduced after 6 months of intervention. CONCLUSION: Telemedicine had a positive effect on the management of diabetes, hypertension, and rheumatoid arthritis, especially when telemedicine consultation and telemonitoring method were used. When telemedicine was used as a disease management tool for patients with diabetes, the optimal intervention time is 12 months. Telemedicine improved the systolic blood pressure in hypertensive patients while also reducing negative emotions and enhancing medication adherence in rheumatoid arthritis patients. BioMed Central 2022-04-19 /pmc/articles/PMC9017076/ /pubmed/35440082 http://dx.doi.org/10.1186/s12911-022-01845-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ma, Yue
Zhao, Chongbo
Zhao, Yan
Lu, Jiahong
Jiang, Hong
Cao, Yanpei
Xu, Yafang
Telemedicine application in patients with chronic disease: a systematic review and meta-analysis
title Telemedicine application in patients with chronic disease: a systematic review and meta-analysis
title_full Telemedicine application in patients with chronic disease: a systematic review and meta-analysis
title_fullStr Telemedicine application in patients with chronic disease: a systematic review and meta-analysis
title_full_unstemmed Telemedicine application in patients with chronic disease: a systematic review and meta-analysis
title_short Telemedicine application in patients with chronic disease: a systematic review and meta-analysis
title_sort telemedicine application in patients with chronic disease: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017076/
https://www.ncbi.nlm.nih.gov/pubmed/35440082
http://dx.doi.org/10.1186/s12911-022-01845-2
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