TY  - JOUR
AU  - Miao, Yiqun
AU  - Luo, Yuan
AU  - Zhao, Yuhan
AU  - Liu, Mingxuan
AU  - Wang, Huiying
AU  - Wu, Ying
PY  - 2024
DA  - 2024/7/15
TI  - Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis
JO  - J Med Internet Res
SP  - e58013
VL  - 26
KW  - eHealth
KW  - medication adherence
KW  - heart
KW  - cardiovascular
KW  - adherence
KW  - cardiology
KW  - digital health
KW  - cardiovascular diseases
KW  - network meta-analysis
KW  - synthesis
KW  - syntheses
KW  - review methods
KW  - review methodology
KW  - search
KW  - searches
KW  - searching
KW  - systematic
KW  - meta-analysis
KW  - meta-analyses
KW  - drug
KW  - drugs
KW  - pharmacy
KW  - pharmacies
KW  - pharmacology
KW  - pharmacotherapy
KW  - pharmaceutic
KW  - pharmaceutics
KW  - pharmaceuticals
KW  - pharmaceutical
KW  - medication
KW  - medications
AB  - Background: Nonadherence to medication among patients with cardiovascular diseases undermines the desired therapeutic outcomes. eHealth interventions emerge as promising strategies to effectively tackle this issue. Objective: The aim of this study was to conduct a network meta-analysis (NMA) to compare and rank the efficacy of various eHealth interventions in improving medication adherence among patients with cardiovascular diseases (CVDs). Methods: A systematic search strategy was conducted in PubMed, Embase, Web of Science, Cochrane, China National Knowledge Infrastructure Library (CNKI), China Science and Technology Journal Database (Weipu), and WanFang databases to search for randomized controlled trials (RCTs) published from their inception on January 15, 2024. We carried out a frequentist NMA to compare the efficacy of various eHealth interventions. The quality of the literature was assessed using the risk of bias tool from the Cochrane Handbook (version 2.0), and extracted data were analyzed using Stata16.0 (StataCorp LLC) and RevMan5.4 software (Cochrane Collaboration). The certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach. Results: A total of 21 RCTs involving 3904 patients were enrolled. The NMA revealed that combined interventions (standardized mean difference [SMD] 0.89, 95% CI 0.22-1.57), telephone support (SMD 0.68, 95% CI 0.02-1.33), telemonitoring interventions (SMD 0.70, 95% CI 0.02-1.39), and mobile phone app interventions (SMD 0.65, 95% CI 0.01-1.30) were statistically superior to usual care. However, SMS compared to usual care showed no statistical difference. Notably, the combined intervention, with a surface under the cumulative ranking curve of 79.3%, appeared to be the most effective option for patients with CVDs. Regarding systolic blood pressure and diastolic blood pressure outcomes, the combined intervention also had the highest probability of being the best intervention. Conclusions: The research indicates that the combined intervention (SMS text messaging and telephone support) has the greatest likelihood of being the most effective eHealth intervention to improve medication adherence in patients with CVDs, followed by telemonitoring, telephone support, and app interventions. The results of these network meta-analyses can provide crucial evidence-based support for health care providers to enhance patients’ medication adherence. Given the differences in the design and implementation of eHealth interventions, further large-scale, well-designed multicenter trials are needed. Trial Registration: INPLASY 2023120063; https://inplasy.com/inplasy-2023-12-0063/ 
SN  - 1438-8871
UR  - https://www.jmir.org/2024/1/e58013
UR  - https://doi.org/10.2196/58013
DO  - 10.2196/58013
ID  - info:doi/10.2196/58013
ER  -