Back to Search Start Over

Effects of telemedicine interventions on essential hypertension: a protocol for a systematic review and meta-analysis

Authors :
Yi Liu
Xiaoli Chen
Tao Lin
Ling Zhu
Dongze Li
Yu Jia
Yongli Gao
Xiao-Lian Jiang
Fanghui Li
Dongmei Diao
Source :
BMJ Open, Vol 12, Iss 9 (2022)
Publication Year :
2022
Publisher :
BMJ Publishing Group, 2022.

Abstract

Introduction Essential hypertension is a major preventable risk factor for early cardiovascular disease, premature death and disability. It has been reported that telemedicine interventions can provide an innovative solution to essential hypertension to overcome the barriers that exist in traditional treatment or control. Nevertheless, this subject has not been thoroughly investigated. The goal of this study is to systematically evaluate and describe the impact of telemedicine interventions on essential hypertension.Methods and analysis To find relevant research, we will conduct a systematic literature search of three databases (PubMed, Embase and Cochrane Library), with no language limitations, in addition to researching grey literature. Two reviewers will extract the data individually, and any disagreements will be resolved by discussion or by a third reviewer. The randomised controlled trials will be chosen based on predetermined inclusion criteria. Primary outcomes will include systolic blood pressure and diastolic blood pressure after the telemedicine intervention. Secondary outcomes will include medication adherence (eg, the Morisky Medication Adherence Questionnaire), quality of life (eg, the MOS item scale of the Health Survey Short Form 36 questionnaire), blood pressure control rate and adverse events (eg, stroke, chronic renal failure, aortic dissection, myocardial infarction and heart failure). The quality of the included studies will be assessed using the Cochrane risk-of-bias method. The data will be analysed using RevMan V.5.3.5 software and STATA V.16.0 software. If heterogeneity testing reveals little or no statistical heterogeneity, a fixed effect model will be used for data synthesis; otherwise, a random effect model would be employed. We will synthesise the available evidence to perform a high-quality meta-analysis.Ethics and dissemination This project does not require ethical approval because it will be conducted using publicly available documents. The review’s findings will be published in peer-reviewed journals and publications.PROSPERO registration number CRD42021293539.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
12
Issue :
9
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.58dbc442ec2b4c26bcf8ee2c42a01793
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2021-060376