Interactive Health Communication Applications for people with chronic disease

Murray, Elizabeth; Burns, Joanne; See, Tai S; Lai, Rosalind; Nazareth, Irwin

doi:10.1002/14651858.cd004274.pub3

Cited by 77 publications

(91 citation statements)

References 88 publications

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“…Even though research continues to advance in this field, the conclusions that could be reached were similar to those of previous reports. 1 ,32 Nevertheless, results from this review cannot sustain the conclusions that ICTs have a negative effect on clinical outcomes published by Murray et al 33 Two of their conclusions, however, can be sustained: the shortage of high quality evaluative data and the ability of ICTs to increase knowledge or social support amongst people with a similar problem. Although other works found both a reduction in health services utilization and an improvement in clinical outcomes, 21,27,28 it has not yet been established which are the appropriate features of the intervention that guarantee positive outcomes.…”

Section: Discussionmentioning

confidence: 72%

New technologies for chronic disease management and control: a systematic review

2007

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We conducted a systematic review of the clinical effectiveness of interventions using information and communication technologies (ICTs) for managing and controlling chronic diseases. Electronic databases were searched for randomized clinical trials that assessed the effectiveness of ICTs (except for those that included only telephone communication) and measured some clinical indicator. Information was reviewed and assessed independently by two researchers. Of the 950 clinical trials identified, 56 studies were identified for potential inclusion. Of those, 24 were finally included: 5 studies in asthma, 3 in hypertension, 1 in home telecare, 7 in diabetes, 6 in heart failure and 2 in prevention heart disease. Overall, ICT applications did not show an improvement in clinical outcomes, although no adverse effects were identified. However, ICTs used in the detection and follow up of cardiovascular diseases provided better clinical outcomes, mortality reduction and lower health services utilization. Systems used for improving education and social support were also shown to be effective. At present the evidence about the clinical benefits of ICTs for managing chronic disease is limited.

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Section: Discussionmentioning

confidence: 72%

New technologies for chronic disease management and control: a systematic review

2007

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“…5 Web-based interventions are showing promise as a means of increasing compliance in people with chronic disease. 6 The benefits of participating may include a sense of control, self-confidence, feelings of more independence, social interactions, and improved feelings. 7 Gaining empowerment through an online group enables the person to act in a manner to obtain desired results.…”

Section: Introductionmentioning

confidence: 99%

Pilot study of a web-based intervention for adolescents with type 1 diabetes

2013

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We evaluated the feasibility and effectiveness of a website designed to improve compliance to treatment protocols in adolescents with type-1 diabetes. Fifty-nine adolescents, 13-18 years of age, were randomly assigned to a control or experimental group. The control group received standard medical care as usual. The experimental group participated in an interactive, 7-week web-based intervention, taking part in problem-solving through discussion forums, chat rooms and blogs. Fifty of the 59 participants (85%) completed measures assessing diabetes-related quality of life, self-efficacy and outcome expectations. These variables were expected to be interrelated and their combined effects were considered as mediators of compliance. There was a marginally significant difference between the two groups on these combined measures (P = 0.052), with the control group scoring significantly higher on Positive Outcome Expectations (P = 0.03) both pre- and post-treatment. Attrition in the period between recruitment and the beginning of the intervention reduced power. Self-Efficacy was significantly correlated with Positive Outcome Expectations (r = 0.30, P = 0.037) and Diabetes Self-Management and Diabetes Quality of Life for Youths (r = 0.43, P = 0.002). In an exit survey, 90% of participants indicated that they were more willing to comply with their treatment protocol after participating in the intervention. An online website is a promising tool to bring adolescents with a chronic disease together, providing problem solving activities and social support.

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“…11 What remains to be understood, however, is how smartphone applications can better leverage these modalities to change behavior and create lasting habits. For this reason, we identified a model from Murray et al, 12 detailing how mHealth interventions lead to clinical change.…”

Section: Smartphone App Use To Increase Pamentioning

confidence: 99%

“…Building on the success of this theory, we adapted a model (Figure 1) for the application of mHealth platforms to enhance PA from a Cochrane Review, which analyzed the use of interactive health communication applications for those with chronic disease. 12 This model was then operationalized for use by clinicians through the formation of a checklist (Figure 2), a modality chosen based upon its proven utility for guiding patient care. 38 The checklist provides a set of pragmatic suggestions meant to assist the clinician in leading a patient toward achieving the American College of Cardiology/American Heart Association (ACC/AHA) PA recommendations.…”

Section: Clinical Relevance and Benefitmentioning

confidence: 99%

Harnessing mHealth technologies to increase physical activity and prevent cardiovascular disease

Feldman

Robison

Pacor

et al. 2018

Clinical Cardiology

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Research into prevention of cardiovascular disease has increasingly focused on mobile health (mHealth) technologies and their efficacy in helping individuals adhere to heart-healthy recommendations, including daily physical activity levels. By including the use of mHealth technologies in the discussion of physical activity recommendations, clinicians empower patients to play an active daily role in modifying their cardiovascular risk-factor profile. In this review, we critically evaluate the mHealth and physical activity literature to determine how these tools may lower cardiovascular risk while providing real-time tracking, feedback, and motivation on physical activity levels. We analyze the various domains-including user knowledge, social support, behavioral change theory, and self-motivation-that potentially influence the effectiveness of smartphone applications to impact individual physical activity levels. In doing so, we hope to provide a thorough overview of the mHealth landscape, in addition to highlighting many of the administrative, reimbursement, and patient-privacy challenges of using these technologies in patient care. Finally, we propose a behavioral change model and checklist for clinicians to assist patients in utilizing mHealth technology to best achieve meaningful changes in daily physical activity levels.

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Interactive Health Communication Applications for people with chronic disease

Cited by 77 publications

References 88 publications

New technologies for chronic disease management and control: a systematic review

New technologies for chronic disease management and control: a systematic review

Pilot study of a web-based intervention for adolescents with type 1 diabetes

Harnessing mHealth technologies to increase physical activity and prevent cardiovascular disease

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