ArticleJMIR aging2021
Perception and Initial Adoption of Mobile Health Services of Older Adults in London: Mixed Methods Investigation.
Article in JMIR aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 30 citations in OpenAlex.
- Designing an mHealth App to Encourage Uptake of Muscle-Strengthening Exercise in Older Adults: Co-Design Focus Group Study.JMIR aging · 2026Article
- Experience of older adults using smart devices and mHealth apps for proactive health: a descriptive qualitative study based on the technology acceptance model.Frontiers in public health · 2026Article
- Tailoring mHealth for Healthy Aging: Focus Group Study With Retirement-Age Adults.JMIR mHealth and uHealth · 2025Article
- Health behavior outcomes in stroke survivors prescribed wearables for atrial fibrillation detection stratified by age.Journal of geriatric cardiology : JGC · 2024Article
- Interest in mHealth Among Patients With Low Back Pain: Cross-Sectional Study.JMIR human factors · 2024Article
- What are the determinants of older people adopting communicative e-health services: a meta-ethnography.BMC health services research · 2024Review
- How to adopt technologies in home care: a mixed methods study on user experiences and change of home care in Finland.BMC health services research · 2023Article
- Exploring primary care doctors' perceptions and experiences in adopting mHealth with patients: A qualitative study.Digital healthArticle
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvances in mobile technology and public needs have resulted in the emergence of mobile health (mHealth) services. Despite the potential benefits of mHealth apps, older adults face challenges and barriers in adopting them.
objectiveThe aims of this study are to understand older adults' perception of mHealth services and to discover the barriers that older adults face in the initial adoption of mHealth apps.
methodsThis paper systematically analyzed main determinants related to mHealth services and investigated them through questionnaires, interviews, and a workshop. Two studies were carried out in London. In study 1, the questionnaires with follow-up interviews were conducted based on the literature review to uncover older adults' perception (including perceived usefulness, perceived ease of use, and perceived behavioral control) of mHealth services. Study 2 was a workshop helping older adults to trial selected mHealth apps. The workshop was conducted by the first author (JP) with assistance from 5 research students. The barriers that older adults faced in the initial adoption period were observed. The interviews and workshop were audiotaped and transcribed. Descriptive statistics and the thematic analysis technique were used for data analysis.
resultsIn total, 30 older adults in London completed the questionnaires and interviews in study 1. The results of study 1 show that the lack of obvious advantage, low reliability, scary information, and the risk of privacy leakage would decrease older adults' perceived usefulness of mHealth services; the design of app interface would directly affect the perceived ease of use; and aging factors, especially the generation gap, would create barriers for older users. In total, 12 participants took part in the workshop of study 2, including 8 who took part in study 1. The results of study 2 identified that access to technology, the way of interaction, the risk of money loss, heavy workload of using an mHealth app, and different lifestyle are influential factors to older adults' adoption of mHealth services.
conclusionsThe perceptions of mHealth services of older adults were investigated; the barriers that older adults may face in the initial adoption stage were identified. On the basis of the synthesis of these results, design suggestions were proposed, including technical improvement, free trial, information clarification, and participatory design. They will help inform the design of mHealth services to benefit older adults.
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