Evidence map›Paper›PMID 31462214›Full record

ArticleBMC geriatrics2019

Understanding changes and stability in the long-term use of technologies by seniors who are aging in place: a dynamical framework.

S T M Peek, K G Luijkx, H J M Vrijhoef, M E Nieboer, S Aarts, C S van der Voort, M D Rijnaard, E J M Wouters

Abstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. The Impact of Digital Health on Smoking Cessation.Interactive journal of medical research · 2023
    Article
  6. Article
  7. Article
  8. Review
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  10. Article
  11. Article
  12. Article
  13. Age-Friendly Communities and Older Adults' Health in the United States.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
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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

8 authors.

S T M PeekSchool of Social and Behavioral Sciences, Department of Tranzo, Tilburg University, Tilburg, The Netherlands. research@sebastiaanpeek.nl.
K G LuijkxSchool of Social and Behavioral Sciences, Department of Tranzo, Tilburg University, Tilburg, The Netherlands.
H J M VrijhoefSchool of Social and Behavioral Sciences, Department of Tranzo, Tilburg University, Tilburg, The Netherlands.
M E NieboerInstitute of Allied Health Professions, Chair of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, The Netherlands.
S AartsInstitute of Allied Health Professions, Chair of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, The Netherlands.
C S van der VoortInstitute of Allied Health Professions, Chair of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, The Netherlands.
M D RijnaardInstitute of Allied Health Professions, Chair of Health Innovations and Technology, Fontys University of Applied Sciences, Eindhoven, The Netherlands.
E J M WoutersSchool of Social and Behavioral Sciences, Department of Tranzo, Tilburg University, Tilburg, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIf technologies are to support aging in place, then it is important to develop fundamental knowledge on what causes stability and changes in the use of technologies by seniors. However, longitudinal studies on the long-term use of technologies that have been accepted into the home (i.e., post-implementation use) are very scarce. Many factors potentially could influence post-implementation use, including life events, age-related decline, changes in personal goal orientation, and various types of social influences. The aforementioned factors are likely to be interrelated, adding to the complexity. The goal of this study is to better understand changes and stability in the use of technologies by independent-living seniors, by using a dynamical systems theory approach.

methodsA longitudinal qualitative field study was conducted involving home visits to 33 community-dwelling seniors in the Netherlands, on three occasions (2012-2014). Interviews were held on technology usage patterns, including reasons for stable, increased, declined and stopped use. Technologies were included if they required electric power in order to function, were intended to be used in or around the home, and could support activities of daily living, personal health or safety, mobility, communication, and physical activity. Thematic analysis was employed, using constant case comparison to better understand dynamics and interplay between factors. In total, 148 technology use patterns by 33 participants were analyzed.

resultsA core of six interrelated factors was closely linked to the frequency of technology use: emotional attachment, need compatibility, cues to use, proficiency to use, input of resources, and support. Additionally, disruptive forces (e.g., social influences, competition with alternative means, changes of personal needs) could induce change by affecting these six factors. Furthermore, long-term technology use was in some cases more resilient to disruption than in other cases. Findings were accumulated in a new framework: Dynamics In Technology Use by Seniors (DITUS).

conclusionsSimilar to aging, the use of technologies by older people is complex, dynamic and personal. Periods of stability and change both occur naturally. The DITUS framework can aid in understanding stability and instability of technology use, and in developing and implementing sustainable technological solutions for aging in place.

Indexed as

AgedAged, 80 and overAgingComputer User TrainingFemaleHumansIndependent LivingLongitudinal StudiesMaleMicrocomputersMotivationNetherlandsPilot ProjectsProspective StudiesQualitative ResearchTechnologyAging in placeConsumer appliancesDynamical systems theoryE-healthGerontechnologyICTLongitudinal qualitative researchSmart homeTechnology acceptanceTechnology adoption

Identifiers

PMID31462214
PMCPMC6712781

What OpenQuestion holds

Textmetadata
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.