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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
Published on: February 16, 2011
The predictive power of narrative data in occupational therapy evaluation
D C Simmons1, E B Crepeau, B P White
1Occupational Therapy Department, University of New Hampshire, Durham 03824-3563, USA. dsimmons@cisunix.unh.edu
Summary
Adding the Canadian Occupational Performance Measure (COPM) to the Functional Independence Measure (FIM) improved occupational therapists' prediction accuracy for client functional status at discharge in skilled nursing facilities.
Area of Science:
- Rehabilitation Science
- Occupational Therapy
- Healthcare Outcomes Research
Background:
- Accurate prediction of client functional status is crucial for effective rehabilitative care planning.
- Existing occupational therapy evaluation measures may have limitations in predictive accuracy.
Purpose of the Study:
- To determine if incorporating the Canadian Occupational Performance Measure (COPM) enhances the accuracy of occupational therapists' discharge predictions.
- To compare the predictive accuracy of the standard Functional Independence Measure (FIM) versus an enhanced FIM including COPM data.
Main Methods:
- Prospective comparison design involving 31 clients in a subacute skilled nursing facility.
- Development of two predictive variables: standard FIM and FIM/COPM (enhanced FIM).
- Comparison of predictive scores with actual FIM discharge scores using descriptive correlations and Wilcoxon signed rank test.
Main Results:
- The standard FIM predictive score showed a statistically significant difference from the actual discharge FIM score.
- No statistically significant difference was found between the FIM/COPM predictive score and the actual discharge FIM score.
- Correlational analyses supported that the standard FIM alone resulted in less accurate outcome predictions.
Conclusions:
- The use of the COPM in conjunction with the FIM significantly enhances the accuracy of predicting outcomes for rehabilitative services.
- This combined approach offers improved predictive capabilities for adult physical disability settings.
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