Predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules
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 rehab...
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| Format: | Journal Article |
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Australian Physiotherapy Association
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/28983 |
| _version_ | 1848752681748791296 |
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| author | Roffman, Caroline Buchanan, John Allison, Garry |
| author_facet | Roffman, Caroline Buchanan, John Allison, Garry |
| author_sort | Roffman, Caroline |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:12:29Z |
| format | Journal Article |
| id | curtin-20.500.11937-28983 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:12:29Z |
| publishDate | 2014 |
| publisher | Australian Physiotherapy Association |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-289832017-09-13T15:19:07Z Predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules Roffman, Caroline Buchanan, John Allison, Garry Rehabilitation outcome Amputation Lower extremity Clinical prediction rule Leg prosthesis 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. 2014 Journal Article http://hdl.handle.net/20.500.11937/28983 10.1016/j.jphys.2014.09.003 Australian Physiotherapy Association fulltext |
| spellingShingle | Rehabilitation outcome Amputation Lower extremity Clinical prediction rule Leg prosthesis Roffman, Caroline Buchanan, John Allison, Garry Predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules |
| title | Predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules |
| title_full | Predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules |
| title_fullStr | Predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules |
| title_full_unstemmed | Predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules |
| title_short | Predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules |
| title_sort | predictors of non-use of prostheses by people with lower limb amputation after discharge from rehabilitation: development and validation of clinical prediction rules |
| topic | Rehabilitation outcome Amputation Lower extremity Clinical prediction rule Leg prosthesis |
| url | http://hdl.handle.net/20.500.11937/28983 |