Department of Rheumatology Research, Sint Maartenskliniek, Nijmegen, Netherlands.
Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands.
J Med Internet Res. 2021 Jan 8;23(1):e18901. doi: 10.2196/18901.
Medication nonadherence leads to suboptimal treatment outcomes, making it a major priority in health care. eHealth provides an opportunity to offer medication adherence interventions with minimal effort from health care providers whose time and resources are limited.
The aim of this systematic review is twofold: (1) to evaluate effectiveness of recently developed and tested interactive eHealth (including mHealth) interventions on medication adherence in adult patients using long-term medication and (2) to describe strategies among effective interventions.
MEDLINE, EMBASE, Cochrane Library, PsycINFO, and Web of Science were systematically searched from January 2014 to July 2019 as well as reference lists and citations of included articles. Eligible studies fulfilled the following inclusion criteria: (1) randomized controlled trial with a usual care control group; (2) a total sample size of at least 50 adult patients using long-term medication; (3) applying an interactive eHealth intervention aimed at the patient or patient's caregiver; and (4) medication adherence as primary outcome. Methodologic quality was assessed using the Cochrane risk of bias tool. Selection and quality assessment of studies were performed by 2 researchers (BP and BvdB or JV) independently. A best evidence synthesis was performed according to the Cochrane Back Review Group.
Of the 9047 records screened, 22 randomized clinical trials were included reporting on 29 interventions. Most (21/29, 72%) interventions specified using a (mobile) phone for calling, SMS text messaging, or mobile apps. A majority of all interactive interventions (17/29) had a statistically significant effect on medication adherence (P<.05). Of these interventions, 9 had at least a small effect size (Cohen d ≥ 0.2) and 3 showed strong odds for becoming adherent in the intervention group (odds ratio > 2.0). Our best evidence synthesis provided strong evidence for a positive effect of interventions using SMS text messages or interactive voice response, mobile app, and calls as mode of providing adherence tele-feedback. Intervention strategies "to teach medication management skills," "to improve health care quality by coordinating medication adherence care between professionals," and "to facilitate communication or decision making between patients and health care providers" also showed strong evidence for a positive effect.
Overall, this review supports the hypothesis that interactive eHealth interventions can be effective in improving medication adherence. Intervention strategies that improve patients' treatment involvement and their medication management skills are most promising and should be considered for implementation in practice.
药物依从性差会导致治疗效果不佳,因此成为医疗保健的主要重点。电子健康为医疗保健提供者提供了一个机会,可以在不花费太多时间和资源的情况下提供药物依从性干预措施,而这些提供者的时间和资源有限。
本系统评价有两个目的:(1)评估使用长期药物的成年患者的最近开发和测试的交互式电子健康(包括移动健康)干预措施对药物依从性的有效性;(2)描述有效干预措施中的策略。
从 2014 年 1 月至 2019 年 7 月,系统地检索了 MEDLINE、EMBASE、Cochrane 图书馆、PsycINFO 和 Web of Science,以及纳入文章的参考文献和引文。符合条件的研究符合以下纳入标准:(1)随机对照试验,有常规护理对照组;(2)总样本量至少为 50 名使用长期药物的成年患者;(3)应用旨在针对患者或患者照顾者的交互式电子健康干预措施;(4)药物依从性为主要结局。使用 Cochrane 偏倚风险工具评估方法学质量。由 2 名研究人员(BP 和 BvdB 或 JV)独立进行研究的选择和质量评估。根据 Cochrane 回溯审查小组进行了最佳证据综合。
在筛选的 9047 条记录中,有 22 项随机临床试验被纳入,报告了 29 项干预措施。大多数(29/29,72%)干预措施指定使用(移动)电话进行呼叫、短信或移动应用程序。所有交互式干预措施中,大多数(17/29)对药物依从性有统计学意义的影响(P<.05)。其中 9 项干预措施具有至少较小的效应量(Cohen d≥0.2),并且 3 项干预措施显示出在干预组中成为依从者的强几率(比值比>2.0)。我们的最佳证据综合为使用短信或交互式语音应答、移动应用程序和电话提供依从性远程反馈的干预措施的积极效果提供了强有力的证据。干预策略“教授药物管理技能”、“通过协调专业人员之间的药物依从性护理来提高医疗质量”以及“促进患者与医疗保健提供者之间的沟通或决策”也为积极效果提供了强有力的证据。
总体而言,本综述支持这样的假设,即交互式电子健康干预措施可以有效提高药物依从性。提高患者治疗参与度和药物管理技能的干预策略最有希望,并应考虑在实践中实施。