A preliminary predictive model for wheelchair use 4~months after receipt.
Objectives: To explore whether use of wheeled mobility devices 4 months after receipt can be predicted based on the type of information available at the time of initial wheelchair prescription/provision across diverse settings and providers. Design: Longitudinal cohort study. Setting: One private te...
| Publicado en: | Technology & Disability Vol. 24; no. 1; pp. 71 - 82 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=70936204&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 70936204 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10554181 3QS jtl: Technology & Disability issn: 10554181 maglogo: N pubinfo: dt: 2012 vid: 24 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 70936204 70936204 104510736 70936204 ppf: 71 ppct: 11 formats: fmt: @attributes: type: P tig: atl: A preliminary predictive model for wheelchair use 4~months after receipt. aug: au: Brandt, Åse Alwin, Jenny Hoenig, Helen Landerman, Lawrence R. Shipp, Kathy M. Richardson, Margaret Pieper, Carl Winkler, Sandra Hubbard affil: Danish Centre for Assistive Technology, Department of Research and Development, Århus, Denmark sug: subj: Wheelchairs Utilization Wheelchairs, Powered Utilization Ambulation Aids Utilization Decision Making, Clinical Human Prospective Studies Regression Prescriptions, Non-Drug Models, Theoretical Interviews Time Factors Descriptive Statistics P-Value Confidence Intervals Logistic Regression Sensitivity and Specificity Predictive Research Odds Ratio Algorithms Funding Source Decision Support Techniques ab: Objectives: To explore whether use of wheeled mobility devices 4 months after receipt can be predicted based on the type of information available at the time of initial wheelchair prescription/provision across diverse settings and providers. Design: Longitudinal cohort study. Setting: One private teaching hospital and one Department of Veterans Affairs Medical Center. Participants: 86 consecutive, community-dwelling, cognitively intact persons with a wide range of diagnoses newly prescribed a wheeled mobility device. Interventions: Provision of a manual or motorized wheelchair, or scooter. Measurements: The dependent variable was self-reported device use (any versus none) 4 months after initial prescription; independent variables were self-reported medical conditions and impairment, activity limitations, personal and environmental contextual factors. Results: More than half (56.8%) of the subjects were still using their new wheeled mobility device 4 months after receipt. In bivariate analysis, persons still using the device were significantly (p< 0.05) more likely to report that they had experienced confusion in the prior 6~months, that their doctor had told them they had mental problems such as depression/and or anxiety, or that amputation was the reason they were prescribed a wheelchair. They were less likely to report being hospitalized in the previous 6 months. In the final multivariable model, based on stepwise regression, a history of recent confusion or prior amputation significantly increased the odds of continued device use (Odds Ratio [OR] 6.8 and 14.4 respectively) while recent hospitalization or prior fracture significantly decreased the odds (OR 0.15 and 0.30 respectively). An Index predicting wheelchair use, using weights for these 4 variables based on the multivariable regression, was significantly related to device use in 100 bootstrap replicate samples, with an average beta=1.03, OR=2.80, p< 0.001. Depending on the specific combination of variables, the sensitivity of the Index ranged from 0.07 to 0.94 for predicting wheelchair use and the specificity of the Index ranged from 0.27 to 0.99. Conclusions: Although preliminary, the study shows that it is possible to provide evidence-based prediction for short-term use of a new wheeled mobility device, based on information likely to be available at the outset. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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