ArticlePatient preference and adherence2017
Involvement of the end user: exploration of older people's needs and preferences for a wearable fall detection device - a qualitative descriptive study.
Article in Patient preference and adherence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient and Carer-Related Facilitators and Barriers to the Adoption of Assistive Technologies for the Care of Older Adults: Systematic Review.JMIR aging · 2025Pooled it
- Emerging Technologies and Vulnerabilities in Older Adults Without Cognitive Impairments: Systematic Review of Qualitative Evidence.Interactive journal of medical research · 2026Review
- Article
- Home living older adults' subjective perceptions, evaluation, and interpretations of various welfare technology: A systematic review of qualitative studies.Public health in practice (Oxford, England) · 2024Article
- Evaluating the usability of a co-designed power assisted exercise graphical user interface for people with stroke.Journal of neuroengineering and rehabilitation · 2023Article
- Binary Sensors-Based Privacy-Preserved Activity Recognition of Elderly Living Alone Using an RNN.Sensors (Basel, Switzerland) · 2021Article
- Rationale and Methods of Evaluation for ACHO, A New Virtual Assistant to Improve Therapeutic Adherence in Rural Elderly Populations: A User-Driven Living Lab.International journal of environmental research and public health · 2021Observational
- "I felt like a TRIO champion": end-user perspectives on their role as co-designers of multi-purpose technologies.Gates open research · 2020Article
- Optimization and Technical Validation of the AIDE-MOI Fall Detection Algorithm in a Real-Life Setting with Older Adults.Sensors (Basel, Switzerland) · 2019Article
- An Acceptability Study Of A Personal Portable Device Storing Critical Health Information To Ensure Treatment Continuity Of Home-Dwelling Older Adults In Case Of A Disaster.Patient preference and adherence · 2019Article
- Hearing the voices of older adult patients: processes and findings to inform health services research.Research involvement and engagement · 2019Article
- eHealth for people with multimorbidity: Results from the ICARE4EU project and insights from the "10 e's" by Gunther Eysenbach.PloS one · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo explore the needs and preferences of community-dwelling older people, by involving them in the device design and mock-up development stage of a fall detection device, consisting of a body-worn sensor linked to a smartphone application. PATIENTS AND
methodsA total of 22 community-dwelling persons 75 years of age and older were involved in the development of a fall detection device. Three semistructured focus group interviews were conducted. The interview data were analyzed using qualitative descriptive analysis with deductive coding.
resultsThe mock-up of a waterproof, body-worn, automatic and manual alerting device, which served both as a day-time wearable sensor and a night-time wearable sensor, was welcomed. Changes should be considered regarding shape, color and size along with alternate ways of integrating the sensor with items already in use in daily life, such as jewelry and personal watches. The reliability of the sensor is key for the participants. Issues important to the alerting process were discussed, for instance, who should be contacted and why. Several participants were concerned with the mandatory use of the smartphone and assumed that it would be difficult to use. They criticized the limited distance between the sensor and the smartphone for reliable fall detection, as it might restrict activity and negatively influence their degree of independence in daily life.
conclusionThis study supports that involving end users in the design and mock-up development stage is welcomed by older people and allows their needs and preferences concerning the fall detection device to be explored. Based on these findings, the development of a "need-driven" prototype is possible. As participants are doubtful regarding smartphone usage, careful training and support of community-dwelling older people during real field testing will be crucial.
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