Mobile technology use across age groups in patients eligible for cardiac rehabilitation: survey study
Open accessAbstract
BACKGROUND: Emerging evidence indicates mobile technology-based strategies may improve access to secondary prevention and reduce risk factors in cardiac patients. However, little is known about cardiac patients' use of mobile technology, particularly for health reasons and whether the usage varies across patient demographics. OBJECTIVE: This study aimed to describe cardiac patients' use of mobile technology and to determine variations between age groups after adjusting for education, employment, and confidence with using mobile technology. METHODS: Cardiac patients eligible for attending cardiac rehabilitation were recruited from 9 hospital and community sites across metropolitan and rural settings in New South Wales, Australia. Participants completed a survey on the use of mobile technology devices, features used, confidence with using mobile technology, willingness and interest in learning, and health-related use. RESULTS: The sample (N=282) had a mean age of 66.5 (standard deviation [SD] 10.6) years, 71.9% (203/282) were male, and 79.0% (223/282) lived in a metropolitan area. The most common diagnoses were percutaneous coronary intervention (33.3%, 94/282) and myocardial infarction (22.7%, 64/282). The majority (91.1%, 257/282) used at least one type of technology device, 70.9% (200/282) used mobile technology (mobile phone/tablet), and 31.9% (90/282) used all types. Technology was used by 54.6% (154/282) for health purposes, most often to access information on health conditions (41.4%, 117/282) and medications (34.8%, 98/282). Age had an important independent association with the use of mobile technology after adjusting for education, employment, and confidence. The youngest group (<56 years) was over 4 times more likely to use any mobile technology than the oldest (>69 years) age group (odds ratio [OR] 4.45, 95% CI 1.46-13.55), 5 times more likely to use mobile apps (OR 5.00, 95% CI 2.01-12.44), and 3 times more likely to use technology for health-related reasons (OR 3.31, 95% CI 1.34-8.18). Compared with the older group, the middle age group (56-69 years) was more than twice as likely to use any mobile technology (OR 2.42, 95% CI 1.27-4.59) and mobile technology for health-related purposes (OR 1.92, 95% CI 1.04-3.53). Participants who had completed high school were twice as likely to use mobile technology (OR 2.62, 95% CI 1.45-4.70), mobile apps (OR 2.05, 95% CI 1.09-3.84), and mobile technology for health-related reasons (OR 5.09, 95% CI 2.89-8.95) than those who had not completed high school. Associations were also present between participants living in metropolitan areas and mobile technology use (OR 1.07, 95% CI 1.07-4.24) and employment and mobile app use (OR 2.72, 95% CI 1.44-5.140). CONCLUSIONS: Mobile technology offers an important opportunity to improve access to secondary prevention for cardiac patients, particularly when modified to suit subgroups. High levels of mobile technology use and health motivation need to be harnessed for secondary prevention.
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Lack of familiarity with the technology and access to mobile devices, rather than lack of engagement per se, remain the principal barriers to older people's mHealth use.
“However, the lack of familiarity with the technology and access to mobile devices, rather than lack of engagement per se, remain the principal barriers (Coorey 2018, Gallagher 2017, Tarakji 2018).”
From 2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society (2021) · cites this paper as Gallagher 2017
The Introduction (Mobile Technology Use and Age; page unavailable) identifies limited familiarity, skills and confidence as potential barriers, and the Discussion (Principal Findings; page unavailable) describes a divide in mobile-technology access and use among cardiac patients. But the paper does not establish these as the principal barriers rather than lack of engagement: it reports substantially lower use in patients over 69 and notes that social influences can limit motivation. (LLM, conf=0.86)
Experimental — accuracy not yet measuredCVD patients <56 years old were four times more likely to use any mobile technology than those >69 years old and three times more likely to use technology for medical purposes.
“Research indicates that CVD patients <56 years old were four times more likely to use any mobile technology than those >69 years old and three times more likely to use technology for medical purposes (63).”
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- Authors
- Gallagher, R., Roach, K., Sadler, L., Glinatsis, H., Belshaw, J., Kirkness, A., Zhang, L., Gallagher, P., Paull, G., Gao, Y., Partridge, S. R., Parker, H., & Neubeck, L.
- Affiliations
- The University of Sydney (AU)
- Northern Sydney Local Health District (AU)
- Manly Hospital (AU)
- Royal North Shore Hospital (AU)
- Hornsby Ku-ring-gai Hospital (AU)
- St George Hospital (AU)
- Edinburgh Napier University (GB)
- Corresponding author
- Gallagher, Robyn
- ORCID
- Venue
- JMIR mhealth and uhealth
- Publisher
- JMIR Publications Inc.
- Published
- 2017-10-24
- Volume
- 5
- Issue
- 10
- Pages
- e161
- ISSN
- 2291-5222 (ISSN-L)
- PMC
- PMC5676027
- OpenAlex
- W2766397352
- Cited by
- 88
- References
- 28
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 10 · 2023: 14 · 2022: 10 · 2021: 19 · 2020: 6 · 2019: 9 · 2018: 8
- FWCI
- 10.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR mhealth and uhealth (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Output (Edinburgh Napier University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion, cc-by)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Demography › Technology Use by Older Adults
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Keywords
- mobile technology use, cardiac rehabilitation, cardiac patients, age differences, mobile health apps, secondary prevention, health information seeking, drug information, technology confidence, older adults, digital divide, education and employment, percutaneous coronary intervention, myocardial infarction, New South Wales, risk factor reduction
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