Evidence map›Paper›PMID 35544304›Full record

ArticleJMIR aging2022

Stakeholder Perspectives on In-home Passive Remote Monitoring to Support Aging in Place in the Province of New Brunswick, Canada: Rapid Qualitative Investigation.

Emily A Read, Danie A Gagnon, Lorie Donelle, Kathleen Ledoux, Grace Warner, Brad Hiebert, Ridhi Sharma

Abstract read
In one paragraph

Article in JMIR aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Review
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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

7 authors.

Emily A ReadFaculty of Nursing, University of New Brunswick, Moncton, NB, Canada.ORCID https://orcid.org/0000-0002-5023-5559
Danie A GagnonFaculty of Nursing, University of New Brunswick, Fredericton, NB, Canada.ORCID https://orcid.org/0000-0001-6339-907X
Lorie DonelleFaculty of Health Sciences, Arthur Labatt Family School of Nursing, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0001-9276-8639
Kathleen LedouxFaculty of Health Sciences, Arthur Labatt Family School of Nursing, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0001-5694-7058
Grace WarnerFaculty of Health Sciences, School of Occupational Therapy, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0001-9865-865X
Brad HiebertFaculty of Health Sciences, Arthur Labatt Family School of Nursing, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0003-0361-7156
Ridhi SharmaFaculty of Nursing, University of New Brunswick, Fredericton, NB, Canada.ORCID https://orcid.org/0000-0002-4630-8946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe province of New Brunswick (NB) has one of the oldest populations in Canada, providing an opportunity to develop and test innovative strategies to address the unique health challenges faced by older adults. Passive remote monitoring technology has the potential to support independent living among older adults. Limited research has examined the benefits of and barriers to the adoption of this technology among community-dwelling older adults.

objectiveThis study aimed to explore perceptions of in-home passive remote monitoring technology designed to support aging in place from the perspective of older adults, their family or friend caregivers, social workers, and government decision-makers in the province of NB, Canada.

methodsBetween October 2018 and March 2020, a rapid qualitative investigation of 28 one-on-one interviews was conducted in person or via telephone. Participants included 2 home support services clients and 11 family or friend caregivers who had used passive remote monitoring technology in their homes; 8 social workers who had worked as case managers for home support services clients; and 7 individuals who were key government decision-makers in the adoption, policy development, and use of the technology in the province of NB. The interviews focused on the following topics: decision to adopt the passive remote monitoring system, barriers to adopting the passive remote monitoring system, benefits of the passive remote monitoring system, impact on client health outcomes, and privacy concerns. The interviews were audio recorded, transcribed, and analyzed by a team of 6 researchers. Data analysis was conducted using a rapid assessment process approach that included matrix analysis.

resultsParticipants reported that the use of the remote monitoring system allowed older adults to live at home longer and provided caregiver relief. Stakeholders were invested in meeting the home support (home care) needs of older adults. However, when it came to the use of remote monitoring, there was a lack of consensus about which clients it was well-suited for and the role that social workers should play in informing clients and caregivers about the service (role ambiguity, gatekeeping, and perceived conflicts of interest).

conclusionsOur findings highlight many benefits and challenges of the adoption of passive remote monitoring for clients, their family or friend caregivers, and public provincial health and social services systems. Passive remote monitoring is a valuable tool that can provide support to older adults and their family or friend caregivers when it is a good fit with client needs. Further work is needed in NB to increase public and social workers' awareness of the service and its benefits.

Indexed as

aging in placehome careolder adultspassive remote monitoring

Identifiers

PMID35544304
PMCPMC9133995

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.