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Published on: June 3, 2013
A critical look at transition ratings
Gordon H Guyatt1, Geoffrey R Norman, Elizabeth F Juniper
1Department of Clinical Epidemiology and Biostatistics, McMaster University, Room 2C12, 1200 Main Street West, Hamilton, Ontario, Canada. guyatt@mcmaster.ca
Patient transition ratings are common but their validity is questioned. This study found that while transition ratings don't perfectly mirror pre- and post-scores, pre-scores often significantly predict changes, suggesting careful validation is needed.
Area of Science:
- Clinical research
- Health outcomes measurement
- Patient-reported outcomes
Background:
- Transition ratings are frequently used in clinical practice and research to assess patient improvement or deterioration.
- Concerns exist regarding the validity of these transition ratings.
- Health-related quality of life (HRQL) instruments are often used alongside transition ratings.
Purpose of the Study:
- To examine the validity of patient transition ratings.
- To explore the relationship between disease-specific HRQL instrument scores and corresponding transition ratings.
- To determine if pre- and post-intervention scores adequately predict transition ratings.
Main Methods:
- Analyzed data from three studies correlating HRQL instrument domains with transition ratings.
- Focused on comparisons with a correlation of at least 0.5 between HRQL domain scores and transition ratings.
- Used regression analysis to assess the predictive power of pre- and post-scores on transition ratings.
Main Results:
- Of 14 comparisons, only three showed ideal correlations between pre/post scores and transition ratings.
- Regression coefficients were similar to ideal patterns in eight comparisons.
- Pre-scores significantly explained variance in transition scores in most cases when controlling for post-scores.
Conclusions:
- Transition ratings rarely exhibit the theoretically ideal association with pre- and post-intervention scores.
- Pre-intervention scores generally show significant correlation and predictive value for transition ratings.
- Researchers should validate transition scores by examining their relationship with corresponding pre- and post-domain scores.
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