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dc.contributor.authorRoffman, Caroline
dc.contributor.authorBuchanan, John
dc.contributor.authorAllison, Garry
dc.date.accessioned2017-01-30T13:09:00Z
dc.date.available2017-01-30T13:09:00Z
dc.date.created2015-03-12T20:00:28Z
dc.date.issued2014
dc.identifier.citationRoffman, C. and Buchanan, J. and Allison, G. 2014. Predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules. Journal of Physiotherapy. 60 (4): pp. 224-231.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/28983
dc.identifier.doi10.1016/j.jphys.2014.09.003
dc.description.abstract

Questions: Can rules be developed to predict the risk of non-use of prostheses by people with lower limb amputation following discharge from rehabilitation? Are these clinical prediction rules valid? Design: Retrospective and prospective cohort study designs. Participants: Consecutive tertiary rehabilitation patients: 135 retrospective (103 males, mean age = 56 years, SD 15) and 66 prospective (58 males, mean age = 54 years, SD 16). Method: Medical records were audited for potential predictor variables. Retrospective participants were interviewed at a median of 1.9 years after discharge (IQR 1.4 to 2.5) and prospective participants at a median of 1.3 years (IQR 1.1 to 1.4). Results: Clinical prediction rules were identified at 4, 8 and 12 months after discharge, and validated. Amputation levels above transtibial and mobility-aid use were common predictors for all three time frames. At 4 months, if four out of five predictor variables were present (LR+ = 43.9, 95% CI 2.73 to 999+), the probability of non-use increased from 12 to 86% (p < 0.001). At 8 months, if all three predictor variables were present (LR+ = 33.9, 95% CI 2.1 to 999+), the probability of non-use increased from 15 to 86% (p < 0.001). At 12 months, if two out of three predictor variables were present (LR+ = 2.8, 95% CI 0.9 to 6.6), the probability of non-use increased from 17 to 36% (p < 0.031). Conclusions: These validated clinical prediction rules have implications for rehabilitation and service model development.

dc.publisherAustralian Physiotherapy Association
dc.subjectRehabilitation outcome
dc.subjectAmputation
dc.subjectLower extremity
dc.subjectClinical prediction rule
dc.subjectLeg prosthesis
dc.titlePredictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules
dc.typeJournal Article
dcterms.source.volume60
dcterms.source.number4
dcterms.source.startPage224
dcterms.source.endPage231
dcterms.source.issn1836-9553
dcterms.source.titleJournal of Physiotherapy
curtin.note

This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by-nc-nd/3.0/

curtin.departmentSchool of Physiotherapy and Exercise Science
curtin.accessStatusOpen access


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