Evidence map›Paper›PMID 40971580›Full record

ArticleJMIR aging2025

Selection, Optimization, and Compensation Strategies Used by Older Adults to Live Well With Technology: Qualitative Study.

Wei Qi Koh, Kristiana Ludlow, Jacki Liddle, Nancy A Pachana

Abstract read
In one paragraph

Article in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Wei Qi KohSchool of Health and Rehabilitation Sciences, The University of Queensland, 84A Services Road, St Lucia, Brisbane, 4067, Australia, 61 734433773.ORCID http://orcid.org/0000-0001-8196-1628
Kristiana LudlowCentre for Health Services Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0001-7284-5625
Jacki LiddleSchool of Health and Rehabilitation Sciences, The University of Queensland, 84A Services Road, St Lucia, Brisbane, 4067, Australia, 61 734433773.ORCID http://orcid.org/0000-0002-6336-9898
Nancy A PachanaSchool of Psychology, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-8927-4205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With rapid digitalization, technologies are increasingly integrated as part of our everyday lives and are becoming increasingly essential for individuals to participate in society. Technology presents opportunities to support healthy aging. Examples include digital health monitoring and opportunities to maintain social connectedness through online platforms. However, the processes in which older adults select and integrate technologies into their daily lives have not been well examined. objectives: This study uses the Selection, Optimization, and Compensation (SOC) model to understand how older adults integrate technology into their everyday lives to live well. The two key research questions are as follows: (1) How do older adults describe their technology use and their choices, analyzed with respect to SOC processes? (2) How do older adults perceive that technology is a part of living well? Methods: A descriptive qualitative study was conducted. Purposive sampling was used to recruit older adults who were aged 55 years and older, were living in the community, spoke and understood English, and resided in Australia. Five in-person focus groups comprising 20 older adults were conducted. Data were analyzed using hybrid inductive and deductive reflexive thematic analyses, based on the SOC model. Results: All participants resided in Brisbane, Queensland. Older adults selected technology intentionally to enhance different aspects of their daily lives. Perceived "involuntary" selection of technology could lead to feelings of resentment or frustration. Optimization strategies included self-monitoring, integrating technology into daily routines, digital literacy and proficiency, and problem-solving skills. Compensatory strategies included choosing alternative technology that suited participants' abilities or skills and seeking support through informal or formal avenues. Conclusions: These findings provide important considerations for technology developers to design technology in collaboration with older adults to ensure that they align with needs and preferences. Digital literacy is not sufficient to empower older adults to use technology; when empowering older adults to use technology, service providers should also consider facilitating other intrinsic and extrinsic resources and skills.

Indexed as

Healthy AgingAgedAged, 80 and overFemaleFocus GroupsHumansMaleMiddle AgedQualitative ResearchQueenslandaging wellhealthy agingolder adultsselective optimization and compensationtechnology

Identifiers

PMID40971580
PMCPMC12448253

What OpenQuestion 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 OpenQuestion graph.