Evidence map›Paper›PMID 33470949›Full record

SynthesisJournal of medical Internet research2021

Factors Affecting the Implementation, Use, and Adoption of Real-Time Location System Technology for Persons Living With Cognitive Disabilities in Long-term Care Homes: Systematic Review.

Alisa Grigorovich, Yalinie Kulandaivelu, Kristine Newman, Andria Bianchi, Shehroz S Khan, Andrea Iaboni, Josephine McMurray

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  7. Suitability and Adaptability of a Real-Time Location System to Mitigate Item Loss in Dementia Care Facilities.Gerontechnology : international journal on the fundamental aspects of technology to serve the ageing society · 2024
    Article
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  14. Review
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

7 authors.

Alisa GrigorovichKITE - Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0001-5363-7396
Yalinie KulandaiveluKITE - Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0002-3263-5495
Kristine NewmanDaphne Cockwell School of Nursing, Ryerson University, Toronto, ON, Canada.ORCID 0000-0003-0633-4725
Andria BianchiBioethics Program, University Health Network, Toronto, ON, Canada.ORCID 0000-0003-3802-0771
Shehroz S KhanKITE - Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0002-1195-4999
Andrea IaboniKITE - Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID 0000-0003-4268-6832
Josephine McMurrayLazaridis School of Business & Economics, Wilfred Laurier University, Brantford, ON, Canada.ORCID 0000-0002-5607-3781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the aging population continues to grow, the number of adults living with dementia or other cognitive disabilities in residential long-term care homes is expected to increase. Technologies such as real-time locating systems (RTLS) are being investigated for their potential to improve the health and safety of residents and the quality of care and efficiency of long-term care facilities.

objectiveThe aim of this study is to identify factors that affect the implementation, adoption, and use of RTLS for use with persons living with dementia or other cognitive disabilities in long-term care homes.

methodsWe conducted a systematic review of the peer-reviewed English language literature indexed in MEDLINE, Embase, PsycINFO, and CINAHL from inception up to and including May 5, 2020. Search strategies included keywords and subject headings related to cognitive disability, residential long-term care settings, and RTLS. Study characteristics, methodologies, and data were extracted and analyzed using constant comparative techniques.

resultsA total of 12 publications were included in the review. Most studies were conducted in the Netherlands (7/12, 58%) and used a descriptive qualitative study design. We identified 3 themes from our analysis of the studies: barriers to implementation, enablers of implementation, and agency and context. Barriers to implementation included lack of motivation for engagement; technology ecosystem and infrastructure challenges; and myths, stories, and shared understanding. Enablers of implementation included understanding local workflows, policies, and technologies; usability and user-centered design; communication with providers; and establishing policies, frameworks, governance, and evaluation. Agency and context were examined from the perspective of residents, family members, care providers, and the long-term care organizations.

conclusionsThere is a striking lack of evidence to justify the use of RTLS to improve the lives of residents and care providers in long-term care settings. More research related to RTLS use with cognitively impaired residents is required; this research should include longitudinal evaluation of end-to-end implementations that are developed using scientific theory and rigorous analysis of the functionality, efficiency, and effectiveness of these systems. Future research is required on the ethics of monitoring residents using RTLS and its impact on the privacy of residents and health care workers.

Indexed as

Cognitive DysfunctionComputer SystemsData AnalysisHumansLong-Term CareQualitative ResearchAlzheimer diseaseambulatory monitoringassistive technologydementiaimplementation sciencelong-term carequalitative researchreal-time location systemwearable technology

Identifiers

PMID33470949
PMCPMC7857945

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.