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BMC Health Serv Res. 2015 Sep 16;15:386. doi: 10.1186/s12913-015-1048-0.

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

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Center 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.
GF 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.
Bruyère Research Institute and Interdisciplinary School of Health Sciences, University of Ottawa, 25 University Private, Ottawa, ON, K1N 6N5, Canada.
Clinical 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.



Recent 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.


A 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.


The 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.


Automated 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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