Acceptability of a Mobile Health Exercise-Based Cardiac Rehabilitation Intervention

Dale, Leila Pfaeffli; Whittaker, Robyn; Dixon, Robyn; Stewart, Ralph; Jiang, Yannan; Carter, Karen; Maddison, Ralph

doi:10.1097/hcr.0000000000000125

Cited by 40 publications

(27 citation statements)

References 25 publications

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“…Patients must also be able to control their exercise intensity when performing the exercises prescribed by their provider. In 2015, a study evaluating the acceptability of mobile health exercise-based cardiac rehabilitation intervention through text messages found that text messaging was useful in motivating patients with ischemic heart diseases to exercise and continue cardiac rehabilitation programs [6]. What was notable in this study was that the average age of the subjects was 60 years and older, suggesting that elderly patients may understand and participate in medical intervention programs through mobile devices.…”

Section: Discussionmentioning

confidence: 81%

“…The accuracy of HR measurements obtained from a smartphone built-in camera was verified using a method that was previously reported [6]. To measure HR, subjects held smartphones in their right hands, putting the tip of their right hand's index finger on the camera on the back side of the smartphone, and held it in place with limited movement for 1 minute.…”

Section: Methodsmentioning

confidence: 94%

“…Nevertheless, the rate of participation in cardiac rehabilitation exercise programs is still low [45]. To increase the participation rate, home- and community-based cardiac rehabilitation programs incorporating information and communication technology (ICT) have been proposed [678910]. …”

Section: Introductionmentioning

confidence: 99%

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Accuracy of Heart Rate Measurement Using Smartphones During Treadmill Exercise in Male Patients With Ischemic Heart Disease

Lee

Joo

et al. 2017

Ann Rehabil Med

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ObjectiveTo evaluate the accuracy of a smartphone application measuring heart rates (HRs), during an exercise and discussed clinical potential of the smartphone application for cardiac rehabilitation exercise programs.MethodsPatients with heart disease (14 with myocardial infarction, 2 with angina pectoris) were recruited. Exercise protocol was comprised of a resting stage, Bruce stage II, Bruce stage III, and a recovery stage. To measure HR, subjects held smartphone in their hands and put the tip of their index finger on the built-in camera for 1 minute at each exercise stage such as resting stage, Bruce stage II, Bruce stage III, and recovery stage. The smartphones recorded photoplethysmography signal and HR was calculated every heart beat. HR data obtained from the smartphone during the exercise protocol was compared with the HR data obtained from a Holter electrocardiography monitor (control).ResultsIn each exercise protocol stage (resting stage, Bruce stage II, Bruce stage III, and the recovery stage), the HR averages obtained from a Holter monitor were 76.40±12.73, 113.09±14.52, 115.64±15.15, and 81.53±13.08 bpm, respectively. The simultaneously measured HR averages obtained from a smartphone were 76.41±12.82, 112.38±15.06, 115.83±15.36, and 81.53±13 bpm, respectively. The intraclass correlation coefficient (95% confidence interval) was 1.00 (1.00–1.00), 0.99 (0.98–0.99), 0.94 (0.83–0.98), and 1.00 (0.99–1.00) in resting stage, Bruce stage II, Bruce stage III, and recovery stage, respectively. There was no statistically significant difference between the HRs measured by either device at each stage (p>0.05).ConclusionThe accuracy of measured HR from a smartphone was almost overlapped with the measurement from the Holter monitor in resting stage and recovery stage. However, we observed that the measurement error increased as the exercise intensity increased.

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Section: Discussionmentioning

confidence: 81%

Section: Methodsmentioning

confidence: 94%

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Accuracy of Heart Rate Measurement Using Smartphones During Treadmill Exercise in Male Patients With Ischemic Heart Disease

Lee

Joo

et al. 2017

Ann Rehabil Med

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“…Participants were male or female adults (with the exception of one study that included only females) 23 predominantly from the U.S., with a few studies being conducted in the United Kingdom, 30,31 Australia, 32 New Zealand, 33 and China. 34 Participants in eight of the 17 studies had an increased BMI, with one study including cardiac rehabilitation patients.…”

Section: Nonrandomized Studiesmentioning

confidence: 99%

“…The reviewed studies lend support to the social validity of mHealth apps for weight management. Evidence is provided for validity indicators related to app use, measured in terms of app acceptability, 44,45 app engagement, 33 and adherence to self-monitoring via the app 35,40,41 ; indicators related to app evaluation, such as likeability, 33 attitude toward app, 34 perceived app usefulness, 32 and ease of use and usability. 31,32 These outcomes were replicated with older patients and staff through qualitative measures.…”

Section: Nonrandomized Studiesmentioning

confidence: 99%

Mobile Health Applications in Weight Management: A Systematic Literature Review

Dounavi

Tsoumani

2019

American Journal of Preventive Medicine

111

124

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Context: Weight management is an effective strategy for controlling chronic disease and maintaining physical health, and research on this topic has risen dramatically over the past four decades. The present systematic literature review aimed to identify existing evidence on the efficacy of mobile health technology in facilitating weight management behaviors, such as healthy food consumption and physical activity. Evidence acquisition: A systematic search was conducted in Ovid MEDLINE and Ovid Psy-cINFO databases with the aim to identify studies published in peer-reviewed journal articles between 2012 and 2017. Evidence synthesis: A total of 39 studies were analyzed in spring 2018 and are presented here in terms of participant characteristics, effective technology components, additional treatments, impact on health-related behaviors, and treatment efficacy. Indicators of study quality and social validity are also provided. Conclusions: Mobile health apps are widely considered as satisfactory, easy to use, and helpful in the pursuit of weight loss goals by patients. The potential of mobile health apps in facilitating weight loss lies in their ability to increase treatment adherence through strategies such as self-monitoring. These findings indicate that satisfactory treatment adherence and consequent weight loss and maintenance are achieved in the presence of high levels of engagement with a mobile health app. The research quality assessment of RCTs reveals a great need for following international standards both when conducting and reporting research.

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Exercise-based cardiac rehabilitation for coronary heart disease

Dibben

Faulkner

Oldridge

et al. 2021

Cochrane Database of Systematic Reviews

184

194

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Acceptability of a Mobile Health Exercise-Based Cardiac Rehabilitation Intervention

Abstract: Adults with IHD were able to use an mHealth program and reported that text messaging is a good way to deliver exercise information. While mHealth is designed to be automated, programs might be improved if content and delivery were tailored to individual needs.

Cited by 40 publications

References 25 publications

Accuracy of Heart Rate Measurement Using Smartphones During Treadmill Exercise in Male Patients With Ischemic Heart Disease

Accuracy of Heart Rate Measurement Using Smartphones During Treadmill Exercise in Male Patients With Ischemic Heart Disease

Mobile Health Applications in Weight Management: A Systematic Literature Review

Exercise-based cardiac rehabilitation for coronary heart disease

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