Evidence map›Paper›PMID 38264699›Full record

ArticleEuropean heart journal. Digital health2024

Cardiology professionals' views of social robots in augmenting heart failure patient care.

Karen Bouchard, Peter P Liu, Kerstin Dautenhahn, Jess G Fiedorowicz, Jenifar Afrin, Michael Dans, Caroline McGuinty, Heather Tulloch

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European heart journal. Digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Karen BouchardUniversity of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, K1Y 4W7 ON, Canada.
Peter P LiuUniversity of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, K1Y 4W7 ON, Canada.
Kerstin DautenhahnFaculty of Engineering, University of Waterloo, 200 University Ave W., Waterloo, N2L 3G1 ON, Canada.
Jess G FiedorowiczFaculty of Medicine, University of Ottawa, 75 Laurier Ave E., Ottawa, K1N 6N5 ON, Canada.
Jenifar AfrinFaculty of Medicine, University of Ottawa, 75 Laurier Ave E., Ottawa, K1N 6N5 ON, Canada.
Michael DansUniversity of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, K1Y 4W7 ON, Canada.
Caroline McGuintyUniversity of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, K1Y 4W7 ON, Canada.
Heather TullochUniversity of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, K1Y 4W7 ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Social robots are arriving to the modern healthcare system. Whether patients with heart failure, a prevalent chronic disease with high health and human costs would derive benefit from a social robot intervention has not been investigated empirically. Diverse healthcare provider's perspectives are needed to develop an acceptable and feasible social robot intervention to be adopted for the clinical benefit of patients with heart failure. Using a qualitative research design, this study investigated healthcare providers' perspectives of social robot use in heart failure patient care. Methods and results: Interdisciplinary healthcare providers from a tertiary care cardiac hospital completed a structured individual interview and a supplemental questionnaire. The framework method was used to analyse the qualitative data. Respondents ( Conclusion: The adoption of social robots is a viable option to assist in the care of patients with heart failure, albeit in a restricted capacity. The results inform the development of a social robotic intervention for patients with heart failure, including improving social robot efficiencies and increasing their uptake, while protecting patients' and providers' best interest.

Indexed as

CardiologyHealth technologyHeart failureSocially assistive robotsSocial robotsVirtual care

Identifiers

PMID38264699
PMCPMC10802821

What OpenQuestion holds

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LicenceCC BY-NC
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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.