Evidence map›Paper›PMID 39737701›Full record

ArticleJMIR rehabilitation and assistive technologies2024

Professionals' Perspectives of Smart Stationary Bikes in Rehabilitation: Qualitative Study.

Julie Soulard, Dahlia Kairy, Roua Walha, Cyril Duclos, Sylvie Nadeau, Claudine Auger

Abstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Julie SoulardCentre de recherche interdisciplinaire en réadaptation du Montréal métropolitain (CRIR) - Institut universitaire sur la réadaptation en déficience physique de Montréal (IURDPM) du Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Île-de-Montréal (CCSMTL), Université de Montréal, Institut de Réadaptation Gingras Lindsay de Montréal, 6300 avenue de Darlington, Montréal, QC, H3S 2J4, Canada, 1 514-343-6111.ORCID http://orcid.org/0000-0001-8138-1447
Dahlia KairyCentre de recherche interdisciplinaire en réadaptation du Montréal métropolitain (CRIR) - Institut universitaire sur la réadaptation en déficience physique de Montréal (IURDPM) du Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Île-de-Montréal (CCSMTL), Université de Montréal, Institut de Réadaptation Gingras Lindsay de Montréal, 6300 avenue de Darlington, Montréal, QC, H3S 2J4, Canada, 1 514-343-6111.ORCID http://orcid.org/0000-0001-6872-6607
Roua WalhaCentre de recherche interdisciplinaire en réadaptation du Montréal métropolitain (CRIR) - Institut universitaire sur la réadaptation en déficience physique de Montréal (IURDPM) du Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Île-de-Montréal (CCSMTL), Université de Montréal, Institut de Réadaptation Gingras Lindsay de Montréal, 6300 avenue de Darlington, Montréal, QC, H3S 2J4, Canada, 1 514-343-6111.ORCID http://orcid.org/0000-0002-3195-1998
Cyril DuclosCentre de recherche interdisciplinaire en réadaptation du Montréal métropolitain (CRIR) - Institut universitaire sur la réadaptation en déficience physique de Montréal (IURDPM) du Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Île-de-Montréal (CCSMTL), Université de Montréal, Institut de Réadaptation Gingras Lindsay de Montréal, 6300 avenue de Darlington, Montréal, QC, H3S 2J4, Canada, 1 514-343-6111.ORCID http://orcid.org/0000-0002-5788-2396
Sylvie NadeauCentre de recherche interdisciplinaire en réadaptation du Montréal métropolitain (CRIR) - Institut universitaire sur la réadaptation en déficience physique de Montréal (IURDPM) du Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Île-de-Montréal (CCSMTL), Université de Montréal, Institut de Réadaptation Gingras Lindsay de Montréal, 6300 avenue de Darlington, Montréal, QC, H3S 2J4, Canada, 1 514-343-6111.ORCID http://orcid.org/0000-0002-8501-457X
Claudine AugerCentre de recherche interdisciplinaire en réadaptation du Montréal métropolitain (CRIR) - Institut universitaire sur la réadaptation en déficience physique de Montréal (IURDPM) du Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Île-de-Montréal (CCSMTL), Université de Montréal, Institut de Réadaptation Gingras Lindsay de Montréal, 6300 avenue de Darlington, Montréal, QC, H3S 2J4, Canada, 1 514-343-6111.ORCID http://orcid.org/0000-0003-0159-2004

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stationary bikes are used in numerous rehabilitation settings, with most offering limited functionalities and types of training. Smart technologies, such as artificial intelligence and robotics, bring new possibilities to achieve rehabilitation goals. However, it is important that these technologies meet the needs of users in order to improve their adoption in current practice. Objective: This study aimed to collect professionals' perspectives on the use of smart stationary bikes in rehabilitation. Methods: Twelve health professionals (age: mean 43.4, SD 10.1 years) completed an online questionnaire and participated in a semistructured interview regarding their needs and expectations before and after a 30-minute session with a smart bike prototype. Results: A content analysis was performed with inductive coding. Seven main themes emerged: (1) bike functionalities (cycling assistance, asymmetric resistance, and forward and backward cycling), (2) interface between bike and users (simple, user-friendly, personalized, with written reminders during training), (3) feedback to users (user and performance data), (4) training programs (preprogrammed and personalized, and algorithmic programs), (5) user engagement (telerehabilitation, group sessions, music, and automatic suggestion of training), (6) the bike as a physical device (dimensions, comfort, setup, screen, etc), and (7) business model (various pricing strategies, training for professionals, and after-sales service). Conclusions: This study provides an interpretive understanding of professionals' perspectives regarding smart stationary bikes and is the first to identify the expectations of health professionals regarding the development of future bikes in rehabilitation.

Indexed as

attitudebicyclebikecontent analysiscross-sectionalcyclingdigital healthhealth professionalsopinionperceptionperspectivephysical activityqualitativequestionnairerehabilitationstationary bikesurveytechnology

Identifiers

PMID39737701
PMCPMC11705751

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.