Evidence mapPaperPMID 36943333Full record

ArticleJMIR aging2023

Understanding Older Adults' Experiences With Technologies for Health Self-management: Interview Study.

Elsy Paola Garcia Reyes, Ryan Kelly, George Buchanan, Jenny Waycott

Abstract read
In one paragraph

Article in JMIR aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
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

38 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Digital health tools in the management of allergic rhinitis: a systematic review.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
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  4. Pooled it
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  15. Smart Rings in Remote Monitoring at Home: Older Patients' Perceptions and Expectations.Health expectations : an international journal of public participation in health care and health policy · 2025
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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.

Elsy Paola Garcia ReyesSchool of Computing and Information Systems, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-9411-1208
Ryan KellySchool of Computing and Information Systems, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-8773-6656
George BuchananSchool of Computing and Information Systems, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9044-6644
Jenny WaycottSchool of Computing and Information Systems, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0002-4634-0532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany older adults now use technologies such as wearable devices and telehealth services to support their health and well-being while living independently at home. However, older adults vary in how they use these technologies, and there is a lack of knowledge regarding the motivations that influence their acceptance and use of health-related technologies in home environments.

objectiveThis study aimed to understand the types of technologies that older adults use to support their health and the factors that motivate them to use their chosen technologies to support their health. In addition, we aimed to understand the factors that enable the effective use of technologies for health self-management and to identify the barriers that can negatively affect the adoption of technologies.

methodsA total of 22 older adults participated in semistructured interviews regarding their experiences of using technologies for health self-management. Interview transcripts were analyzed through an in-depth thematic analysis.

resultsThe interviews revealed that a range of technologies, such as videoconferencing software, fitness trackers, and other devices, were being used by older adults to support their health. Interviews showed that participants were motivated to use technologies to monitor health issues, to stay active and connected, and to record and change their behavior in the light of foreseen risks related to their future health status. Enablers that facilitated the effective use of technologies include social and organizational influence, convenient access to health care and safety provided by the technology, and easy setup and low cost of the technology. Barriers include information overload and a sense of futility about future health decline; telehealth being an inadequate substitute for in-person consultation; concerns about trust related to privacy and accuracy; and technologies being stigmatizing, uncomfortable to use, expensive, and unfamiliar.

conclusionsThis study suggested that older adults were using a variety of technologies to prevent or prepare for future health decline, evidencing a resilient attitude toward health and aging. In addition, older adults were willing to continue using the technology when there was a perceived need. The enabler mentioned by most participants was the social and organizational influence that included health care staff, family, friends, and organizations. This analysis provides a better understanding of how older adults use technologies to support their health and can guide the provision of appropriate health technologies for them.

Indexed as

barrierenablerhealth self-managementmotivatorolder adultstechnology

Identifiers

PMID36943333
PMCPMC10131633

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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.