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Clinical Utility of CAT Administered PROMIS Measures to Track Change for Pediatric Chronic Pain
Rashmi P Bhandari1, Lauren E Harrison1, Patricia A Richardson2
1Department of Anesthesiology, Perioperative & Pain Medicine, Stanford University School of Medicine, Stanford, California.
Abstract:
Patient Reported Outcomes (PROs) are utilized in clinical registries and trials, necessitating development of benchmarks to enhance interpretability. This study aimed to 1) examine if PROMIS measures administered via computer adaptive testing (CAT) were responsive to change, and 2) highlight one method of assessing clinically significant change for youth seen in a tertiary pain clinic. Clinically significant change was achieved if patients had significantly reliable pre-to-post-changes greater than Reliable Change Index (RCI) value and reported decreased symptoms by at least one severity level (e.g., moderate to mild). Participants were 328 youth (8-17 years old) seen in a tertiary pediatric pain management clinic. Small to moderate effect sizes were noted across PROMIS measures (except Peer Relations). Reliable magnitudes of change were estimated for this sample as approximately 6 point reduction for Pain Interference and Mobility, 9 for Fatigue, and 11 for Anxiety and Depression. Depending on the measure, 10 to 24% were categorized as improved, 3 to 6% as deteriorated, and 68 to 81% were either not clinically elevated at baseline or remained unchanged at 3 months. Overall, PROMIS CAT measures demonstrated responsiveness to change over time. Estimation of clinically significant change offers preliminary yet rigorous benchmarks for evaluating treatment response and sets the stage for understanding treatment effects. PERSPECTIVE: This study assesses responsiveness of CAT administered PROMIS measures and highlights one methodological approach of presenting clinical significance for assessing treatment outcomes in pediatric chronic pain. These benchmarks will allow clinicians and researchers to evaluate treatment response utilizing PROs while allowing for a deeper understanding of treatment effects.
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