Allida Sabine, Du Huiyun, Xu Xiaoyue, Prichard Roslyn, Chang Sungwon, Hickman Louise D, Davidson Patricia M, Inglis Sally C
IMPACCT, Faculty of Health, University of Technology Sydney, Sydney, Australia.
School of Nursing and Midwifery, Flinders University, Bedford Park, Australia.
Cochrane Database Syst Rev. 2020 Jul 2;7(7):CD011845. doi: 10.1002/14651858.CD011845.pub2.
Heart failure (HF) is a chronic disease with significant impact on quality of life and presents many challenges to those diagnosed with the condition, due to a seemingly complex daily regimen of self-care which includes medications, monitoring of weight and symptoms, identification of signs of deterioration and follow-up and interaction with multiple healthcare services. Education is vital for understanding the importance of this regimen, and adhering to it. Traditionally, education has been provided to people with heart failure in a face-to-face manner, either in a community or a hospital setting, using paper-based materials or video/DVD presentations. In an age of rapidly-evolving technology and uptake of smartphones and tablet devices, mHealth-based technology (defined by the World Health Organization as mobile and wireless technologies to achieve health objectives) is an innovative way to provide health education which has the benefit of being able to reach people who are unable or unwilling to access traditional heart failure education programmes and services.
To systematically review and quantify the potential benefits and harms of mHealth-delivered education for people with heart failure.
We performed an extensive search of bibliographic databases and registries (CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, IEEE Xplore, ClinicalTrials.gov and WHO International Clinical Trials Registry Platform (ICTRP) Search Portal), using terms to identify HF, education and mHealth. We searched all databases from their inception to October 2019 and imposed no restriction on language of publication.
We included studies if they were conducted as a randomised controlled trial (RCT), involving adults (≥ 18 years) with a diagnosis of HF. We included trials comparing mHealth-delivered education such as internet and web-based education programmes for use on smartphones and tablets (including apps) and other mobile devices, SMS messages and social media-delivered education programmes, versus usual HF care.
Two review authors independently selected studies, assessed risks of bias, and extracted data from all included studies. We calculated the mean difference (MD) or standardised mean difference (SMD) for continuous data and the odds ratio (OR) for dichotomous data with a 95% confidence interval (CI). We assessed heterogeneity using the I statistic and assessed the quality of evidence using GRADE criteria.
We include five RCTs (971 participants) of mHealth-delivered education interventions for people with HF in this review. The number of trial participants ranged from 28 to 512 participants. Mean age of participants ranged from 60 years to 75 years, and 63% of participants across the studies were men. Studies originated from Australia, China, Iran, Sweden, and The Netherlands. Most studies included participants with symptomatic HF, NYHA Class II - III. Three studies addressed HF knowledge, revealing that the use of mHealth-delivered education programmes showed no evidence of a difference in HF knowledge compared to usual care (MD 0.10, 95% CI -0.2 to 0.40, P = 0.51, I = 0%; 3 studies, 411 participants; low-quality evidence). One study assessing self-efficacy reported that both study groups had high levels of self-efficacy at baseline and uncertainty in the evidence for the intervention (MD 0.60, 95% CI -0.57 to 1.77; P = 0.31; 1 study, 29 participants; very low-quality evidence).Three studies evaluated HF self-care using different scales. We did not pool the studies due to the heterogenous nature of the outcome measures, and the evidence is uncertain. None of the studies reported adverse events. Four studies examined health-related quality of life (HRQoL). There was uncertainty in the evidence for the use of mHealth-delivered education on HRQoL (MD -0.10, 95% CI -2.35 to 2.15; P = 0.93, I = 61%; 4 studies, 942 participants; very low-quality evidence). Three studies reported on HF-related hospitalisation. The use of mHealth-delivered education may result in little to no difference in HF-related hospitalisation (OR 0.74, 95% CI 0.52 to 1.06; P = 0.10, I = 0%; 3 studies, 894 participants; low-quality evidence). We downgraded the quality of the studies due to limitations in study design and execution, heterogeneity, wide confidence intervals and fewer than 500 participants in the analysis.
AUTHORS' CONCLUSIONS: We found that the use of mHealth-delivered educational interventions for people with HF shows no evidence of a difference in HF knowledge; uncertainty in the evidence for self-efficacy, self-care and health-related quality of life; and may result in little to no difference in HF-related hospitalisations. The identification of studies currently underway and those awaiting classification indicate that this is an area of research from which further evidence will emerge in the short and longer term.
心力衰竭(HF)是一种对生活质量有重大影响的慢性疾病,由于其日常自我护理方案看似复杂,包括药物治疗、体重和症状监测、病情恶化迹象的识别以及随访,还涉及与多种医疗服务的交互,给确诊患者带来诸多挑战。教育对于理解这一方案的重要性并坚持执行至关重要。传统上,心力衰竭患者的教育是通过在社区或医院环境中面对面进行的,使用纸质材料或视频/ DVD演示。在技术快速发展以及智能手机和平板设备普及的时代,基于移动健康(mHealth)的技术(世界卫生组织定义为用于实现健康目标的移动和无线技术)是提供健康教育的一种创新方式,其优势在于能够覆盖那些无法或不愿参加传统心力衰竭教育项目和服务的人群。
系统评价并量化基于mHealth的教育对心力衰竭患者的潜在益处和危害。
我们对多个书目数据库和注册库(CENTRAL、MEDLINE、Embase、CINAHL、PsycINFO、IEEE Xplore、ClinicalTrials.gov以及世界卫生组织国际临床试验注册平台(ICTRP)搜索门户)进行了广泛检索,使用相关术语来识别心力衰竭、教育和移动健康。我们检索了所有数据库从创建到2019年10月的数据,且对出版物语言不设限制。
如果研究是以随机对照试验(RCT)形式进行的,涉及诊断为心力衰竭(≥18岁)的成年人,我们将其纳入。我们纳入了比较基于mHealth的教育的试验,如用于智能手机和平板电脑(包括应用程序)及其他移动设备的互联网和基于网络的教育项目、短信和社交媒体提供的教育项目,与常规心力衰竭护理的比较。
两位综述作者独立选择研究、评估偏倚风险,并从所有纳入研究中提取数据。对于连续数据,我们计算了均值差(MD)或标准化均值差(SMD),对于二分数据,计算了比值比(OR)并给出95%置信区间(CI)。我们使用I²统计量评估异质性,并使用GRADE标准评估证据质量。
在本综述中,我们纳入了五项针对心力衰竭患者的基于mHealth的教育干预随机对照试验(971名参与者)。试验参与者人数从28人到512人不等。参与者的平均年龄在60岁至75岁之间,所有研究中63%的参与者为男性。研究来自澳大利亚、中国、伊朗、瑞典和荷兰。大多数研究纳入了有症状的心力衰竭患者,纽约心脏协会(NYHA)心功能分级为II - III级。三项研究涉及心力衰竭知识,结果显示与常规护理相比,使用基于mHealth的教育项目在心力衰竭知识方面没有差异(MD 0.10,95%CI -0.2至0.40,P = 0.51,I² = 0%;3项研究,411名参与者;低质量证据)。一项评估自我效能的研究报告称,两个研究组在基线时自我效能水平都很高,且干预证据存在不确定性(MD 0.60,95%CI -0.57至1.77;P = 0.31;1项研究,29名参与者;极低质量证据)。三项研究使用不同量表评估心力衰竭自我护理。由于结果测量的异质性,我们未对这些研究进行合并,证据尚不确定。没有研究报告不良事件。四项研究考察了健康相关生活质量(HRQoL)。关于使用基于mHealth的教育对HRQoL的影响,证据存在不确定性(MD -0.10,95%CI -2.35至2.15;P = 0.93,I² = 61%;4项研究,942名参与者;极低质量证据)。三项研究报告了与心力衰竭相关的住院情况。使用基于mHealth的教育可能导致与心力衰竭相关的住院率几乎没有差异(OR 0.74,95%CI 0.52至1.06;P = 0.10,I² = 0%;3项研究,894名参与者;低质量证据)。由于研究设计和实施的局限性、异质性、宽置信区间以及分析中参与者少于500人,我们对研究质量进行了降级。
我们发现,对心力衰竭患者使用基于mHealth的教育干预在心力衰竭知识方面没有差异;在自我效能、自我护理和健康相关生活质量方面证据存在不确定性;并且可能导致与心力衰竭相关的住院率几乎没有差异。正在进行的研究和等待分类的研究表明,这是一个短期内和长期内都会产生更多证据的研究领域。