Effectiveness of eHealth Interventions in Improving MedicationAdherence Among Patients With Cardiovascular Disease:Systematic Review and Meta-Analysis

被引:1
作者
Miao, Yiqun [1 ]
Luo, Yuan [1 ]
Zhao, Yuhan [1 ]
Liu, Mingxuan [1 ]
Wang, Huiying [1 ]
Wu, Ying [1 ]
机构
[1] Capital Med Univ, Sch Nursing, 10 You an men Wai Xi tou tiao, Beijing 100069, Peoples R China
关键词
eHealth; medication adherence; heart; cardiovascular; adherence; cardiology; digital health; cardiovascular diseases; networkmeta-analysis; synthesis; review methods; review methodology; search; searches; searching; systematic; meta-analysis; meta-analyses; drug; drugs; pharmacy; pharmacies; pharmacology; pharmacotherapy; pharmaceutic; pharmaceutics; pharmaceuticals; pharmaceutical; medication; medications; PSYCHOMETRIC EVALUATION; CHRONIC DISEASE; SELF-EFFICACY; ADHERENCE; SCALE;
D O I
10.2196/58013
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Nonadherence to medication among patients with cardiovascular diseases undermines the desired therapeuti coutcomes. 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 variouse Health 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 biastool from the Cochrane Handbook (version 2.0), and extracted data were analyzed using Stata16.0 (StataCorp LLC) and RevMan5.4software (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.
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页数:15
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