Evidence map›Paper›PMID 42879168›Full record

ArticleJMIR formative research2026

Feasibility of Using a Wearable Device to Identify Loneliness Among Older Adults Living Alone: Mixed Methods Study.

Rajna Ogrin, Georgina Johnstone, Bradley R Crammond, Judy A Lowthian

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Rajna OgrinBolton Clarke Research Institute, Bolton Clarke, Level 1, 347 Burwood Highway, Forest Hill, Victoria, 3131, Australia, 61 1300221122.ORCID http://orcid.org/0000-0002-4192-7254
Georgina JohnstoneBolton Clarke Research Institute, Bolton Clarke, Level 1, 347 Burwood Highway, Forest Hill, Victoria, 3131, Australia, 61 1300221122.ORCID http://orcid.org/0000-0001-9997-5438
Bradley R CrammondHealth Transformation Lab, RMIT University, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-5306-5201
Judy A LowthianBolton Clarke Research Institute, Bolton Clarke, Level 1, 347 Burwood Highway, Forest Hill, Victoria, 3131, Australia, 61 1300221122.ORCID http://orcid.org/0000-0002-9780-5256

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Addressing loneliness is a public health priority, with increasing interest in technological solutions for older adults. However, evidence on real-world feasibility and acceptability of such technologies remains limited. Objective: This study evaluated the feasibility and acceptability of the Conversation as Therapy (CaT) Pin, a wearable device designed to capture time spent in conversation among older adults living alone, following prototype refinement. Specifically, the study assessed whether a sufficient amount of synchronized, device-derived conversation data and self-reported loneliness data could be generated to explore the relationship between conversation time and loneliness. Methods: A 2-phase, mixed methods feasibility study was conducted. In phase 1, a Consumer Advisory Group (CAG) participated in a 1-hour discussion to inform study processes and device design, followed by a 1-week prototype test with older adults (n=3). Prototype usability, device design, and study procedures were explored through interviews and informed iterative refinement. In phase 2, community-dwelling adults aged 65 years or older living alone trialed the device for 2 weeks. Participants completed activity logs capturing loneliness, activity engagement, device wear, and conversations at 6-hour intervals. Device-captured conversation time was compared with self-reported data where available. Qualitative interviews were analyzed using reflexive thematic analysis to understand participant experiences of device acceptability and feasibility. Results: In phase 1, 6 CAG participants, including 3 prototype testers, identified usability and design issues that led to modifications before phase 2. Phase 2 involved 23 participants (15 women; mean age 79.4 y, SD 6.7 y), with 7 classified as lonely using the UCLA-3 scale. However, only 8 (34.8%) participants generated sufficient concurrent device and activity log data, preventing meaningful assessment of the relationship between conversation time and loneliness. Feasibility challenges were driven by device acceptability, namely usability, comfort, aesthetics, and integration into daily life, which limited sustained wear and data synchronization. Qualitative findings indicated that participants prioritized quality rather than quantity of social interaction, and many did not perceive personal benefit from device use, citing lack of perceived need or concerns related to functionality and design. Together, methodological and conceptual challenges were identified in using conversation time as a potential indicator of loneliness. Conclusions: This study demonstrated that, in its current form, using a wearable device to capture time spent in conversation and align these data with self-reported loneliness was not feasible among older adults living alone. Feasibility was constrained by device acceptability related to usability, participant adherence, and data synchronization challenges. Findings also suggest that conversation time alone may be insufficient as an indicator of loneliness, given participants' emphasis on the quality and personal meaning of social interaction. These results provide practical lessons for future digital health research with older adults, including the need for early co-design, monitorable data-capture systems, and more nuanced approaches to measuring loneliness.

Indexed as

LonelinessWearable Electronic DevicesAgedAged, 80 and overDigital HealthFeasibility StudiesFemaleHumansMaleco-designdesigndigital healthlonelinessmixed methodsolder adultsproof of conceptprototypeusabilitywearable electronic devices

Identifiers

PMID42879168
PMCPMC13671184

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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.