Cited by 1,206Technology Use by Older AdultsTechnology Adoption and User BehaviourAssistive Technology in Communication and Mobility

Factors influencing acceptance of technology for aging in place: A systematic review

Open access
Peek, Sebastiaan T.M., Wouters, Eveline J.M., van Hoof, Joost, Luijkx, Katrien G., Boeije, Hennie R., Vrijhoef, Hubertus J.M.·2014·International Journal of Medical Informatics

Abstract

PURPOSE: To provide an overview of factors influencing the acceptance of electronic technologies that support aging in place by community-dwelling older adults. Since technology acceptance factors fluctuate over time, a distinction was made between factors in the pre-implementation stage and factors in the post-implementation stage. METHODS: A systematic review of mixed studies. Seven major scientific databases (including MEDLINE, Scopus and CINAHL) were searched. Inclusion criteria were as follows: (1) original and peer-reviewed research, (2) qualitative, quantitative or mixed methods research, (3) research in which participants are community-dwelling older adults aged 60 years or older, and (4) research aimed at investigating factors that influence the intention to use or the actual use of electronic technology for aging in place. Three researchers each read the articles and extracted factors. RESULTS: Sixteen out of 2841 articles were included. Most articles investigated acceptance of technology that enhances safety or provides social interaction. The majority of data was based on qualitative research investigating factors in the pre-implementation stage. Acceptance in this stage is influenced by 27 factors, divided into six themes: concerns regarding technology (e.g., high cost, privacy implications and usability factors); expected benefits of technology (e.g., increased safety and perceived usefulness); need for technology (e.g., perceived need and subjective health status); alternatives to technology (e.g., help by family or spouse), social influence (e.g., influence of family, friends and professional caregivers); and characteristics of older adults (e.g., desire to age in place). When comparing these results to qualitative results on post-implementation acceptance, our analysis showed that some factors are persistent while new factors also emerge. Quantitative results showed that a small number of variables have a significant influence in the pre-implementation stage. Fourteen out of the sixteen included articles did not use an existing technology acceptance framework or model. CONCLUSIONS: Acceptance of technology in the pre-implementation stage is influenced by multiple factors. However, post-implementation research on technology acceptance by community-dwelling older adults is scarce and most of the factors in this review have not been tested by using quantitative methods. Further research is needed to determine if and how the factors in this review are interrelated, and how they relate to existing models of technology acceptance.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ijmedinf.2014.01.004

Cites

67 of 67 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Some older adults will perceive a technology as being more relevant for other elderly people with more extensive functional impairments and be less motivated to use it themselves.

    “Some older adults will perceive a technology as being more relevant for other elderly people with more extensive functional impairments56 and be less motivated to use it themselves.”

    From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [56]

    Section 3.6, “Need for technology,” reports that older adults often see aging-in-place technology as needed by another older person rather than themselves, illustrated by a participant saying friends would benefit but “I am not there yet.” It does not specify that those others have more extensive functional impairments. The citation is attached to that comparison, not to the sentence’s subsequent statement about motivation. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Engaging older adults in a preimplementation study risks obtaining a "prototypical result," according to Peek et al (2014).

    “Engaging older adults in a preimplementation study thus risks obtaining a “prototypical result,” according to Peek et al (2014).56”

    From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [56]

    Section 3.6 (Need for technology; page unavailable) reports a recurring response in the reviewed studies: participants often said the technology was needed by another older person, not themselves. That supports the idea of a typical response, but the paper does not call it a “prototypical result” or warn that engaging older adults in a preimplementation study risks producing one. (LLM, conf=0.73)

    Experimental — accuracy not yet measured
  • Peek et al (2014) found that a perceived personal need for technology was the most frequent factor mentioned for technology use and acceptance.

    “This is in line with Peek et al (2014, p. 242), who found that a perceived personal need for technology was the most frequent factor mentioned for technology use and acceptance.56”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 69 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Peek, S. T. M., Wouters, E. J. M., van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. M.
Affiliations
  • Tilburg University (NL)
  • Fontys University of Applied Sciences (NL)
  • Utrecht University (NL)
  • National University of Singapore (SG)
Corresponding author
Peek, Sebastiaan T.M.
Venue
International Journal of Medical Informatics
Publisher
Elsevier BV
Published
2014-04
Volume
83
Issue
4
Pages
235-248
ISSN
1386-5056 (ISSN-L)
OpenAlex
W2105499459
Cited by
1,206
References
69
Citations by year
2026: 159 · 2025: 117 · 2024: 95 · 2023: 120 · 2022: 105 · 2021: 120 · 2020: 129 · 2019: 91 · 2018: 103 · 2017: 70 · 2016: 53 · 2015: 32 · 2014: 10
FWCI
19.10
Type
journal article
Language
en
Open access
Locations
  • International Journal of Medical Informatics (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Utrecht University Repository (Utrecht University) (acceptedVersion)
  • Research portal (Tilburg University) (submittedVersion, cc-by-nc-nd)
  • Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by-nc-nd)
  • Utrecht University Repository (Utrecht University) (submittedVersion)
Funders
Dutch Ministry of Education, Culture and Science (OCW) (PRO-3-37)
Topics
  • Social Sciences › Demography › Technology Use by Older Adults
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
Keywords
technology acceptance, aging in place, community-dwelling older adults, electronic health technology, perceived usefulness, perceived ease of use, privacy concerns, usability, social influence, family caregivers, safety technology, technology adoption
MeSH terms
Adult, Aged, Attitude to Computers, Health Services Needs and Demand, Humans, Patient Acceptance of Health Care, Technology Assessment, Biomedical, Independent Living

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review