Literature DB >> 32613635

mHealth education interventions in heart failure.

Sabine Allida1, Huiyun Du2, Xiaoyue Xu1, Roslyn Prichard1, Sungwon Chang1, Louise D Hickman1, Patricia M Davidson3, Sally C Inglis1.   

Abstract

BACKGROUND: 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.
OBJECTIVES: To systematically review and quantify the potential benefits and harms of mHealth-delivered education for people with heart failure. SEARCH
METHODS: 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. SELECTION CRITERIA: 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. DATA COLLECTION AND ANALYSIS: 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 I2 statistic and assessed the quality of evidence using GRADE criteria. MAIN
RESULTS: 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, I2 = 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, I2 = 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, I2 = 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.
Copyright © 2020 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2020        PMID: 32613635      PMCID: PMC7390434          DOI: 10.1002/14651858.CD011845.pub2

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  202 in total

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Authors:  Abhinav Sharma; Robert J Mentz; Bradi B Granger; John F Heitner; Lauren B Cooper; Dipanjan Banerjee; Cynthia L Green; Maulik D Majumdar; Zubin Eapen; Lori Hudson; G Michael Felker
Journal:  Am Heart J       Date:  2019-01-31       Impact factor: 4.749

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5.  Aliskiren alone or in combination with enalapril vs. enalapril among patients with chronic heart failure with and without diabetes: a subgroup analysis from the ATMOSPHERE trial.

Authors:  Søren L Kristensen; Ulrik M Mogensen; Georgia Tarnesby; Claudio R Gimpelewicz; Mohammed A Ali; Qing Shao; YannTong Chiang; Pardeep S Jhund; William T Abraham; Kenneth Dickstein; John J V McMurray; Lars Køber
Journal:  Eur J Heart Fail       Date:  2017-09-25       Impact factor: 15.534

Review 6.  Implementation of smart technology to improve medication adherence in patients with cardiovascular disease: is it effective?

Authors:  Roderick W Treskes; Enno T Van der Velde; Jan W Schoones; Martin J Schalij
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7.  Effects of multidisciplinary Internet-based program on management of heart failure.

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10.  A Mobile Health Intervention Supporting Heart Failure Patients and Their Informal Caregivers: A Randomized Comparative Effectiveness Trial.

Authors:  John D Piette; Dana Striplin; Nicolle Marinec; Jenny Chen; Ranak B Trivedi; David C Aron; Lawrence Fisher; James E Aikens
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2.  mHealth education for patients with chronic kidney disease: protocol for a scoping review.

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3.  mHealth education interventions in heart failure.

Authors:  Sabine Allida; Huiyun Du; Xiaoyue Xu; Roslyn Prichard; Sungwon Chang; Louise D Hickman; Patricia M Davidson; Sally C Inglis
Journal:  Cochrane Database Syst Rev       Date:  2020-07-02

4.  Tools to Support Self-Care Monitoring at Home: Perspectives of Patients with Heart Failure.

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5.  One-Year Remission Rate of Chronic Headache Comparing Video and Face-to-Face Consultations by Neurologist: Randomized Controlled Trial.

Authors:  Svein Ivar Bekkelund; Kai Ivar Müller
Journal:  J Med Internet Res       Date:  2021-12-13       Impact factor: 5.428

Review 6.  Posthospitalization Follow-Up of Patients With Heart Failure Using eHealth Solutions: Restricted Systematic Review.

Authors:  Ingvild Margreta Morken; Marianne Storm; Jon Arne Søreide; Kristin Hjorthaug Urstad; Bjørg Karlsen; Anne Marie Lunde Husebø
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7.  Smartphone Ownership and Interest in Mobile Health Technologies for Self-care Among Patients With Chronic Heart Failure: Cross-sectional Survey Study.

Authors:  Jonathan W Leigh; Ben S Gerber; Christopher P Gans; Mayank M Kansal; Spyros Kitsiou
Journal:  JMIR Cardio       Date:  2022-01-14

Review 8.  Mobile health in preventive cardiology: current status and future perspective.

Authors:  Michael Kozik; Nino Isakadze; Seth S Martin
Journal:  Curr Opin Cardiol       Date:  2021-09-01       Impact factor: 2.108

9.  Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey.

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10.  Reflecting on the Impact of Cardiovascular Nurses in Australia and New Zealand in the International Year of the Nurse and Midwife.

Authors:  Caleb Ferguson; Sally C Inglis; Robyn Gallagher; Patricia M Davidson
Journal:  Heart Lung Circ       Date:  2020-10-14       Impact factor: 2.838

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