Multidimensional PROMIS Self-Efficacy Measure for Managing Chronic Conditions
Mi Jung Lee,
Sergio Romero (),
Ren Liu,
Craig A. Velozo,
Ann L. Gruber-Baldini and
Lisa M. Shulman
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Mi Jung Lee: University of Florida
Sergio Romero: University of Florida
Ren Liu: University of California, Merced
Craig A. Velozo: Medical University of South Carolina
Ann L. Gruber-Baldini: University of Maryland School of Medicine
Lisa M. Shulman: University of Maryland School of Medicine
Applied Research in Quality of Life, 2021, vol. 16, issue 5, No 5, 1909-1924
Abstract:
Abstract This study used a multidimensional categorical model to concurrently estimate individual’s self-efficacy for managing their chronic conditions across five related domains measured with the Patient-Reported Outcomes Measurement Information System Self-Efficacy Measure for managing chronic conditions (PROMIS-SE). A total of 1087 individuals with chronic conditions was analyzed in this study. A Diagnostic Classification Model (DCM) was applied to PROMIS-SE’s 4-item short forms measuring five behavioral domains (daily activities, emotions, medications and treatments, social interactions, and symptoms) to provide patient multidimensional categorical outcomes (high, transition, or low self-efficacy). Psychometric properties were examined using classification consistency, model fit, entropy value, domain and item-level information, and patient profiles. DCM PROMIS-SE showed adequate classification consistency, fit, and high entropy values. Five domains demonstrated different average probabilities of having high self-efficacy for patients with chronic conditions from 42.0% (emotions) to 70% (medications and treatments). Rating scale analysis indicated the rating 5 (very confident) most critically discriminated patients with high or low self-efficacy for managing chronic conditions across all domains. Only four common patient profile groups contained more than 5% of the sample. Acceptable psychometric properties indicate that DCM PROMIS-SE satisfactorily classified patients with chronic conditions. This study demonstrates a feasible approach for other existing multidimensional measures to classify patients’ conditions and support clinical judgment.
Keywords: Patient-reported outcome measure; Self-efficacy; PROMIS; And multidimensionality (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ariqol:v:16:y:2021:i:5:d:10.1007_s11482-020-09842-1
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DOI: 10.1007/s11482-020-09842-1
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