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Erschienen in:
26.02.2019
Multidimensionality of the PROMIS self-efficacy measure for managing chronic conditions
Erschienen in: Quality of Life Research | Ausgabe 6/2019
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Purpose
This study investigated the PROMIS Self-Efficacy Measure for Managing Chronic Conditions (PROMIS-SE) domain distributions and examined the factor structure of the PROMIS-SE.
Methods
A total of 1087 individuals with chronic conditions participated in this study. PROMIS-SE’s item banks and two short forms (eight-item and four-item) measuring five behavioral domains (daily activities(DA), Emotions(EM), medications and treatments(MT), social interactions(SS), and Symptoms(SX)) were examined. PROMIS-SE’s T-score ranges and distributions were examined to identify domain metric distributions and confirmatory factor analysis (CFA) was conducted to test a multidimensional model fit to the PROMIS-SE.
Results
PROMIS-SE domains showed different T-score ranges and distributions for item banks and two short forms across all five domains. While PROMIS-SE EM demonstrated the highest T-scores (least negatively skewed), MT had the lowest T-scores (most negatively skewed) for all three forms. In general, respondents were more likely to achieve highest self-efficacy ratings (very confident) for domains DA, MT, and SS as compared to domains EM and SX. CFA confirmed that a multidimensional model adequately fit all three PROMIS-SE forms.
Conclusion
Our results indicate that self-efficacy T-distributions are not consistent across domains (i.e., managing medications and treatments domain was more negatively skewed difficult than other domains), which is a requirement for making inter-domain comparisons. A multidimensional model could be used to enhance the PROMIS-SE’s estimate accuracy and clinical utility.