SynthesisJMIR mHealth and uHealth2021
Older Adults' Experiences With Using Wearable Devices: Qualitative Systematic Review and Meta-synthesis.
Synthesis 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 132 papers, 12 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
132 citing papers in PubMed, 12 syntheses or guidelines pooled it, 237 citations in OpenAlex.
- Perceptions of Adults Aged 50 Years and Older Regarding the Use of Wearable mHealth Technologies to Promote Physical Activity: Systematic Review and Meta-Ethnography.JMIR mHealth and uHealth · 2026Pooled it
- Effects of Multicomponent Digital Health Interventions on Multidimensional Physical Activity in Older Adults: Systematic Review, Meta-Analysis, and Meta-Regression of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Mapping global inequities in telemedicine implementation: An umbrella review of barriers and facilitators.PloS one · 2026Pooled it
- Effectiveness of exercise based on wearable electronic devices on lower limb strength and balance in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Continuous Movement Monitoring at Home Through Wearable Devices: A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Enhancing Enrollment and Adherence in Long-Term Wearable Research on Dementia: Qualitative Systematic Review and Meta-Synthesis.JMIR aging · 2025Pooled it
- Interactive interfaces and wearable technologies for enhancing health management among older adults: a systematic review.Frontiers in medicine · 2025Pooled it
- Effects of Peer- or Professional-Led Support in Enhancing Adherence to Wearable Monitoring Devices Among Community-Dwelling Older Adults: Systematic Review of Randomized Controlled Trials.Journal of medical Internet research · 2024Pooled it
- Determinants of physical activity in community-dwelling older adults: an umbrella review.The international journal of behavioral nutrition and physical activity · 2023Pooled it
- Influencing Factors to mHealth Uptake With Indigenous Populations: Qualitative Systematic Review.JMIR mHealth and uHealth · 2023Pooled it
- Health-Related Telemonitoring Parameters/Signals of Older Adults: An Umbrella Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Ensemble RBE Modeling in Proton Therapy: A Meta-Synthesis Framework for Dose Assessment in the Brainstem and Spinal Cord.Cancer control : journal of the Moffitt Cancer CenterPooled it
- Effect of wearables with behavioral prompts on physical and cognitive outcomes in community-dwelling older adults: preliminary results of a pilot randomized controlled trial.Frontiers in sports and active living · 2026Trial
- Effectiveness of the Support From Community Health Workers and Health Care Professionals on the Sustained Use of Wearable Monitoring Devices Among Community-Dwelling Older Adults: Feasibility Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Trial
- Development and Feasibility of an eHealth Diabetes Prevention Program Adapted for Older Adults-Results from a Randomized Control Pilot Study.Nutrients · 2024Trial
- A Personalized, Symptom-Based Approach to Boost Research Participation in Hospitalized Older Adults.Journal of the American Geriatrics Society · 2026Article
- Changing Technology Use, Confidence, and Support Needs Among Older Adults in United Kingdom Retirement Villages: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Usability and Technology Acceptance of a Wearable Monitoring System Among Patients with Cardiovascular Diseases: A Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2026Observational
- Acceptance and impact of Technology-Enabled Care (TEC) among community-dwelling older adults: A rapid review.PLOS digital health · 2026Review
72 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOlder adults may use wearable devices for various reasons, ranging from monitoring clinically relevant health metrics or detecting falls to monitoring physical activity. Little is known about how this population engages with wearable devices, and no qualitative synthesis exists to describe their shared experiences with long-term use.
objectiveThis study aims to synthesize qualitative studies of user experience after a multi-day trial with a wearable device to understand user experience and the factors that contribute to the acceptance and use of wearable devices.
methodsWe conducted a systematic search in CINAHL, APA PsycINFO, PubMed, and Embase (2015-2020; English) with fixed search terms relating to older adults and wearable devices. A meta-synthesis methodology was used. We extracted themes from primary studies, identified key concepts, and applied reciprocal and refutational translation techniques; findings were synthesized into third-order interpretations, and finally, a "line-of-argument" was developed. Our overall goal was theory development, higher-level abstraction, and generalizability for making this group of qualitative findings more accessible.
resultsIn total, we reviewed 20 papers; 2 evaluated fall detection devices, 1 tested an ankle-worn step counter, and the remaining 17 tested activity trackers. The duration of wearing ranged from 3 days to 24 months. The views of 349 participants (age: range 51-94 years) were synthesized. Four key concepts were identified and outlined: motivation for device use, user characteristics (openness to engage and functional ability), integration into daily life, and device features. Motivation for device use is intrinsic and extrinsic, encompassing many aspects of the user experience, and appears to be as, if not more, important than the actual device features. To overcome usability barriers, an older adult must be motivated by the useful purpose of the device. A device that serves its intended purpose adds value to the user's life. The user's needs and the support structure around the device-aspects that are often overlooked-seem to play a crucial role in long-term adoption. Our "line-of-argument" model describes how motivation, ease of use, and device purpose determine whether a device is perceived to add value to the user's life, which subsequently predicts whether the device will be integrated into the user's life.
conclusionsThe added value of a wearable device is the resulting balance of motivators (or lack thereof), device features (and their accuracy), ease of use, device purpose, and user experience. The added value contributes to the successful integration of the device into the daily life of the user. Useful device features alone do not lead to continued use. A support structure should be placed around the user to foster motivation, encourage peer engagement, and adapt to the user's preferences.
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What Socratic holds
Registered trials
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 Socratic graph.