Evidence map›Paper›PMID 32310149›Full record

Observational studyJMIR mHealth and uHealth2020

Comparing the Usability and Acceptability of Wearable Sensors Among Older Irish Adults in a Real-World Context: Observational Study.

Alison Keogh, Jonas F Dorn, Lorcan Walsh, Francesc Calvo, Brian Caulfield

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05167877 (Studying Aging, Mobility and Chronic Low Back Pain in Older Adults Using Remote Monitoring), which is not on this map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
30.8field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT05167877 completednot on this mapstarted 2023, after this paper: background citation

Studying Aging, Mobility and Chronic Low Back Pain in Older Adults Using Remote Monitoring

TypeobservationalSponsorMcMaster UniversityRan2023 to 2024Enrolled30ConditionsLow Back Pain, Chronic PainArmsNo intervention will be given to the participants
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 3 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
  2. Determinants of physical activity in community-dwelling older adults: an umbrella review.The international journal of behavioral nutrition and physical activity · 2023
    Pooled it
  3. Pooled it
  4. Trial
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  6. Article
  7. Are Real-World Mobility Patterns Early Indicators of COPD Onset? Insights from Wrist-Worn Sensors.International journal of chronic obstructive pulmonary disease · 2026
    Article
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  9. Article
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  11. Observational
  12. Article
  13. Review
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  17. Experience sampling method studies in physical activity research: the relevance of causal reasoning.The international journal of behavioral nutrition and physical activity · 2025
    Article
  18. Article
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Alison Keogh *Insight Centre for Data Analytics, UCD School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.ORCID 0000-0001-5917-6308
Jonas F DornData and Digital, Novartis Pharma AG, Basel, Switzerland.ORCID 0000-0001-6696-0117
Lorcan WalshData Sciences, Novartis Business Services, Dublin, Ireland.ORCID 0000-0001-8787-6889
Francesc CalvoData and Digital, Novartis Pharma AG, Basel, Switzerland.ORCID 0000-0001-7964-3794
Brian CaulfieldInsight Centre for Data Analytics, UCD School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.ORCID 0000-0003-0290-9587
Novartis (Switzerland) · CHUniversity College Dublin · IENovartis (Ireland) · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable devices are valuable assessment tools for patient outcomes in contexts such as clinical trials. To be successfully deployed, however, participants must be willing to wear them. Another concern is that usability studies are rarely published, often fail to test devices beyond 24 hours, and need to be repeated frequently to ensure that contemporary devices are assessed.

objectiveThis study aimed to compare multiple wearable sensors in a real-world context to establish their usability within an older adult (>50 years) population.

methodsEight older adults wore seven devices for a minimum of 1 week each: Actigraph GT9x, Actibelt, Actiwatch, Biovotion, Hexoskin, Mc10 Biostamp_RC, and Wavelet. Usability was established through mixed methods using semistructured interviews and three questionnaires, namely, the Intrinsic Motivation Inventory (IMI), the System Usability Scale (SUS), and an acceptability questionnaire. Quantitative data were reported descriptively and qualitative data were analyzed using deductive content analysis. Data were then integrated using triangulation.

resultsResults demonstrated that no device was considered optimal as all scored below average in the SUS (median, IQR; min-max=57.5, 12.5; 47.5-63.8). Hexoskin was the lowest scored device based on the IMI (3.6; 3.4-4.5), while Biovotion, Actibelt, and Mc10 Biostamp_RC achieved the highest median results on the acceptability questionnaire (3.6 on a 6-point Likert scale). Qualitatively, participants were willing to accept less comfort, less device discretion, and high charging burdens if the devices were perceived as useful, namely through the provision of feedback for the user. Participants agreed that the purpose of use is a key enabler for long-term compliance. These views were particularly noted by those not currently wearing an activity-tracking device. Participants believed that wrist-worn sensors were the most versatile and easy to use, and therefore, the most suitable for long-term use. In particular, Actiwatch and Wavelet stood out for their comfort. The convergence of quantitative and qualitative data was demonstrated in the study.

conclusionsBased on the results, the following context-specific recommendations can be made: (1) researchers should consider their device selection in relation to both individual and environmental factors, and not simply the primary outcome of the research study; (2) if researchers do not wish their participants to have access to feedback from the devices, then a simple, wrist-worn device that acts as a watch is preferable; (3) if feedback is allowed, then it should be made available to help participants remain engaged; this is likely to apply only to people without cognitive impairments; (4) battery life of 1 week should be considered as a necessary feature to enhance data capture; (5) researchers should consider providing additional information about the purpose of devices to participants to support their continued use.

Indexed as

Wearable Electronic DevicesAgedAged, 80 and overHumansMiddle AgedSurveys and QuestionnairesWristmixed methodsusabilityuser satisfactionwearable technology

Identifiers

PMID32310149
PMCPMC7199137
OpenAlexW3003292653

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.