Evidence map›Paper›PMID 37812466›Full record

ArticleJMIR research protocols2023

Coadaptation Between Smart Technologies and Older Adults Over Time: Protocol for a Scoping Review.

Kristina Marie Kokorelias, Alisa Grigorovich, Maurita T Harris, Umair Rehman, Louise Ritchie, AnneMarie Levy, Kerstin Denecke, Josephine McMurray

Abstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

8 authors.

Kristina Marie KokoreliasDivision of Geriatric Medicine, Department of Medicine, Sinai Health System and University Health Network, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-1277-472X
Alisa GrigorovichKITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-5363-7396
Maurita T HarrisUser Experience Design, Wilfrid Laurier University, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0002-6889-3015
Umair RehmanDepartment of Computer Science, University of Western Ontario, London, ON, Canada.ORCID https://orcid.org/0000-0001-7716-6509
Louise RitchieAlzheimer Scotland Centre for Policy and Practice, University of West Scotland, Scotland, United Kingdom.ORCID https://orcid.org/0000-0001-7603-9073
AnneMarie LevyLazaridis School of Business & Economics/Community Health, Wilfrid Laurier University, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0003-3252-5269
Kerstin DeneckeInstitute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland.ORCID https://orcid.org/0000-0001-6691-396X
Josephine McMurrayLazaridis School of Business & Economics/Community Health, Wilfrid Laurier University, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0002-5607-3781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Internet of Things (IoT) has gained significant attention due to advancements in technology and has potential applications in meeting the needs of an aging population. Smart technologies, a subset of IoT, can support older adults in aging in place, promoting independent living and improving their quality of life. However, there is a lack of research on how older adults and smart technologies coadapt over time to maximize their benefits and sustain adoption.

objectiveWe will aim to comprehensively review and analyze the existing scientific literature pertaining to the coadaptation between smart technologies and older adults. The primary focus will be to investigate the extent and nature of this coadaptation process and explore how older adults and technology coevolve over time to enhance older adults' experience with technology.

methodsThis scoping review will follow the methodology outlined in the Joanna Briggs Institute Reviewer's Manual and adhere to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews) guidelines for reporting. Peer-reviewed articles will be searched in databases like Ovid MEDLINE, OVID Embase, PEDro, OVID PsycINFO, EBSCO CINAHL, the Cochrane Library, Scopus, IEEE Xplore, Web of Science, and Global Index Medicus. The research team will create a data extraction form covering study characteristics, participant characteristics, underlying models and frameworks, research findings, implications for technology coadaptation, and any identified study limitations. A directed content analysis approach will be used, incorporating the Selection, Optimization, and Compensation framework and Sex- and Gender-Based Analysis Plus theoretical framework.

resultsThe results of this study are expected in January 2024.

conclusionsThis scoping review endeavors to present a thorough overview of the available evidence concerning how smart technologies interact with older adults over an extended period. The insights gained from this review will lay the groundwork for a research program that explores how older adults adapt to and use smart technologies throughout their lives, ultimately leading to improved user satisfaction and experience and facilitating aging in place with tailored support and user-centered design principles. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/51129.

Indexed as

ageingagingcoadaptationelderelderlygeriatricgeriatricsgerontechnologyinternet of thingsIoTknowledge synthesisolder adultolder adultsPRISMA-ScRprotocolreview methodologyreview methodsscopingscoping literature reviewscoping reviewsmartsmart technologiessmart technologytechnologyuser-centered design

Identifiers

PMID37812466
PMCPMC10594133

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.