ArticleBMC health services research2015
Development and feasibility of an automated call monitoring intervention for older wheelchair users: the MOvIT project.
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.
What it found
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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.
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.
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
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- What's behind the Dashboard? Intervention Mapping of a Mobility Outcomes Monitoring System for Rehabilitation.International journal of environmental research and public health · 2022Pooled it
- A systematic review on patient and public attitudes toward health monitoring technologies across countries.NPJ digital medicine · 2025Article
- Self-reported use of technology by orientation and mobility clients in Australia and Malaysia before the COVID-19 pandemic.The British journal of visual impairment · 2023Article
- Montreal Accord on Patient-Reported Outcomes (PROs) use series - Paper 4: patient-reported outcomes can inform clinical decision making in chronic care.Journal of clinical epidemiology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
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.
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Registered trials
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