ArticleJMIR mHealth and uHealth2021
Relationship Between Perceived Risks of Using mHealth Applications and the Intention to Use Them Among Older Adults in the Netherlands: Cross-sectional Study.
Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
47 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Digital Inequalities in the Use of eHealth Services in European Public Health Care Systems: Systematic Review of Observational Studies.Journal of medical Internet research · 2026Pooled it
- Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Influencing factors of digital health technology anxiety in the elderly: a systematic review and meta-analysis.Frontiers in psychology · 2025Pooled it
- Older Adults' Continued Use of Smart Healthcare Applications: An Integrated HBM-UTAUT Model with Technology Anxiety.Healthcare (Basel, Switzerland) · 2026Article
- Why Older Adults Resist Mobile Health Information Services: A Conceptual Model Based on the Technology-Personal-Environment Framework.Healthcare (Basel, Switzerland) · 2026Article
- Socioeconomic differences in older adults' intention to use mhealth applications.BMC geriatrics · 2026Article
- Acceptance of Smart Contracts in Patients Receiving Primary Care: Exploratory Study.JMIR formative research · 2026Article
- Influencing factors of continuance intention of medical applications for the elderly.Scientific reports · 2026Article
- Article
- Decoding perceived risks in online healthcare services: a safety-trust model based on grounded theory.Frontiers in digital health · 2026Article
- When they don't come around: how athletes and DCOs perceive the legitimacy of a remote sampling system in anti-doping testing.Frontiers in sports and active living · 2026Article
- Promoting healthy aging in a digital world: leveraging technology for enhanced elderly care and wellbeing.Frontiers in aging · 2026Review
- Unraveling the Factors Associated With Digital Health Intervention Uptake: Cross-Sectional Study.JMIR mHealth and uHealth · 2025Article
- Digital healthcare services in the context of age-friendly community initiatives in China: a realist evaluation.BMC health services research · 2025Article
- Using a Technology Acceptance Model to Explore the Intention to Use Digital Health Technologies Among People With Disabilities: Cross-Sectional Survey Study.Journal of medical Internet research · 2025Article
- Wearable Devices & Elderly: A Bibliometric Analysis of 2014-2024.Healthcare (Basel, Switzerland) · 2025Review
- An investigation into the acceptance of intelligent care systems: an extended technology acceptance model (TAM).Scientific reports · 2025Article
- Harnessing an Artificial Intelligence-Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: Descriptive Qualitative Study.Journal of medical Internet research · 2025Article
- The Influence of UI Design Attributes and Users' Uncertainty Avoidance on Stickiness of the Young Elderly Toward mHealth Applications.Behavioral sciences (Basel, Switzerland) · 2025Article
- Barriers to the Utilization of mHealth Applications in Saudi Arabia: Insights from Patients with Chronic Diseases.Healthcare (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConsidering the increasing demand for health services by older people and the ongoing COVID-19 pandemic, digital health is commonly viewed to offer a pathway to provide safe and affordable health services for older adults, thus enabling self-management of their health while health care systems are struggling. However, several factors cause older people to be particularly reluctant to adopt digital health technologies such as mobile health (mHealth) tools. In addition to previously studied technology acceptance factors, those related to perceived risks of mHealth use (eg, leakage of sensitive information or receiving incorrect health recommendations) may further diminish mHealth adoption by older adults.
objectiveThe aim of this study was to explore the relationship between perceived risks of using mHealth applications and the intention to use these applications among older adults.
methodsWe designed a cross-sectional study wherein a questionnaire was used to collect data from participants aged 65 years and older in the Netherlands. Perceived risk was divided into four constructs: privacy risk, performance risk, legal concern, and trust. Linear regression analyses were performed to determine the associations between these perceived risk constructs and the intention to use mHealth applications.
resultsLinear regression per perceived risk factor showed that each of the four constructs is significantly associated with the intention to use mobile medical applications among older adults (adjusted for age, sex, education, and health status). Performance risk (β=-.266; P=<.001), legal concern (β=-.125; P=.007), and privacy risk (β=-.100; P=.03) were found to be negatively correlated to intention to use mHealth applications, whereas trust (β=.352; P=<.001) was found to be positively correlated to the intention to use mHealth applications.
conclusionsPerformance risk, legal concern, and privacy risk as perceived by older adults may substantially and significantly decrease their intention to use mHealth applications. Trust may significantly and positively affect this intention. Health care professionals, designers of mHealth applications, and policy makers can use these findings to diminish performance risks, and tailor campaigns and applications to address legal and privacy concerns and promote mHealth uptake and health care access for older adults, especially during the COVID-19 pandemic.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.