Evidence map›Paper›PMID 26376853›Full record

ArticleBMC health services research2015

Development and feasibility of an automated call monitoring intervention for older wheelchair users: the MOvIT project.

Claudine Auger, William C Miller, Jeffrey W Jutai, Robyn Tamblyn

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06867081 (Effectiveness of a Customized Digital Platform to Increase Coordination of Care and Uptake of Evidence-based Practices), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
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.

NCT06867081 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Effectiveness of a Customized Digital Platform to Increase Coordination of Care and Uptake of Evidence-based Practices: a Protocol for a Stepped-wedge Cluster Randomized Trial in Quebec

TypeinterventionalSponsorCentre for Interdisciplinary Research in Rehabilitation of Greater MontrealRan2025 to 2029Enrolled962ConditionsAquired Brain Injury, Traumatic Brain Injuries, Stroke, Cardiovascular DiseasesArmsThe intervention will be the BRILLIANT Platform, an online platform which provides five Modules aimed at increasing coordination of care and direct rehabilitation time
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors at 4 institutions in 1 country.

Claudine AugerCenter for Interdisciplinary Research in Rehabilitation of Greater Montreal and School of Rehabilitation, Université de Montréal, C.P. 6128, succursale Centre-ville, Montreal, QC, H3C 3J7, Canada. claudine.auger@umontreal.ca.
William C MillerGF Strong Rehabilitation Center and Graduate Program in Rehabilitation Sciences, Department of Occupational Science & Occupational Therapy, University of British Columbia, T325-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada. billm@mail.ubc.ca.
Jeffrey W JutaiBruyère Research Institute and Interdisciplinary School of Health Sciences, University of Ottawa, 25 University Private, Ottawa, ON, K1N 6N5, Canada. jjutai@uottawa.ca.
Robyn TamblynClinical and Health Informatics Research Group, Department of Medicine, and Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, 1140 Pine Avenue West, Montreal, QC, H3A 1A3, Canada. robyn.tamblyn@mcgill.ca.
Centre for Interdisciplinary Research in Rehabilitation · CAMcGill University Health Centre · CAUniversity of British Columbia Hospital · CAUniversity of Ottawa · CA

Funding

CIHR 76731-1CIHR #IAD112242
6 · The paper itself

Abstract

backgroundRecent advances in wheeled mobility technology are multiplying opportunities for community integration and improved quality of life. The mobility needs of older wheelchair users are particularly complex due to a constellation of chronic conditions and comorbidities that may compromise optimal use of the device. The purpose of the Mobility Outcomes via Information Technologies (MOvIT) project is to examine the feasibility of automated calls for the systematic monitoring for adverse outcomes associated with wheelchair use.

methodsA two-phase mixed methods approach was used. Phase I involved user-centered development and face validation of a monitoring questionnaire with end-users (seven wheelchair users and five healthcare providers). Phase II tested the feasibility of monitoring outcomes using automated calls to administer the MOvIT questionnaire 1 and 3 months after wheelchair delivery with a prospective cohort of older adults (50-84 years of age). When problems were identified, the computer monitoring system notified a clinical coordinator who followed up with respondents requiring interventions. Feasibility data were extracted from the web database and from individual interviews covering perceived ease of use, usefulness and intention to use the MOvIT questionnaire in the future.

resultsThe MOvIT monitoring questionnaire developed in phase I tracks nine potential wheelchair-related adverse outcomes considered important for end-users: 1) non-use of wheelchair, 2) pain, 3) skin condition, 4) positioning, 5) wheelchair incidents, 6) psychosocial issues, 7) restricted wheelchair participation, 8) limited wheelchair skills and knowledge, and 9) technical problems. In phase II, 92 individuals who received a wheelchair were eligible, 71 out of 92 accepted (77%) and 65 out of 71 (92%) completed the 3-month follow-up. In the sample of 65 participants, a wheelchair-related adverse outcome was confirmed by a rehabilitation professional for 58.5%, and at least one recommendation was given to 66.2% during the 3-month monitoring period. A majority of participants found the intervention useful (82.8%) and said they intended to use the MOvIT monitoring questionnaire in the future (81.5%). Participants made suggestions to make the calls more adaptive to various ability profiles.

conclusionsAutomated calls tailored for individuals with mobility limitations and associated comorbidities are a promising approach to reach clients who need post-rehabilitation support.

Indexed as

Mobility LimitationWheelchairsAgedAged, 80 and overFeasibility StudiesFemaleHumansMaleMiddle AgedProspective StudiesQuality of LifeRisk AssessmentSurveys and Questionnaires

Identifiers

PMID26376853
PMCPMC4572692
OpenAlexW1874405134

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.