David Thissen1, Yang Liu2, Brooke Magnus3, Hally Quinn4, Debbie S Gipson5, Carlton Dampier6, I-Chan Huang7,8, Pamela S Hinds9,10, David T Selewski11, Bryce B Reeve12, Heather E Gross13, Darren A DeWalt14. 1. Department of Psychology, University of North Carolina at Chapel Hill, 358 Davie Hall, CB #3270, Chapel Hill, NC, 27599, USA. dthissen@email.unc.edu. 2. Department of Psychology, University of North Carolina at Chapel Hill, 358 Davie Hall, CB #3270, Chapel Hill, NC, 27599, USA. liuy0811@live.unc.edu. 3. Department of Psychology, University of North Carolina at Chapel Hill, 358 Davie Hall, CB #3270, Chapel Hill, NC, 27599, USA. brooke.magnus@unc.edu. 4. Department of Psychology, University of North Carolina at Chapel Hill, 358 Davie Hall, CB #3270, Chapel Hill, NC, 27599, USA. hallyq@live.unc.edu. 5. Division of Nephrology, Department of Pediatrics and Communicable Diseases, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI, USA. dgipson@med.umich.edu. 6. Department of Pediatrics, Emory University College of Medicine, Atlanta, GA, USA. cdampie@emory.edu. 7. Institute for Child Health Policy, University of Florida, Gainesville, FL, USA. i-chan.huang@stjude.org. 8. Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA. i-chan.huang@stjude.org. 9. Children's National Health System, Washington, DC, USA. PSHinds@childrensnational.org. 10. The George Washington University, Washington, DC, USA. PSHinds@childrensnational.org. 11. Division of Nephrology, Department of Pediatrics and Communicable Diseases, C.S. Mott Children's Hospital, University of Michigan, Ann Arbor, MI, USA. dselewsk@med.umich.edu. 12. Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. bbreeve@email.unc.edu. 13. Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. hgross@email.unc.edu. 14. Division of General Medicine and Clinical Epidemiology, Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. dewaltd@med.unc.edu.
Abstract
OBJECTIVE: To assess minimally important differences (MIDs) for several pediatric self-report item banks from the National Institutes of Health Patient-Reported Outcomes Measurement Information System(®) (PROMIS(®)). METHODS: We presented vignettes comprising sets of two completed PROMIS questionnaires and asked judges to declare whether the individual completing those questionnaires had an important change or not. We enrolled judges (including adolescents, parents, and clinicians) who responded to 24 vignettes (six for each domain of depression, pain interference, fatigue, and mobility). We used item response theory to model responses to the vignettes across different judges and estimated MID as the point at which 50 % of the judges would declare an important change. RESULTS: We enrolled 246 judges (78 adolescents, 85 parents, and 83 clinicians). The MID estimated with clinician data was about 2 points on the PROMIS T-score scale, and the MID estimated with adolescent and parent data was about 3 points on that same scale. CONCLUSIONS: The MIDs enhance the value of PROMIS pediatric measures in clinical research studies to identify meaningful changes in health status over time.
OBJECTIVE: To assess minimally important differences (MIDs) for several pediatric self-report item banks from the National Institutes of Health Patient-Reported Outcomes Measurement Information System(®) (PROMIS(®)). METHODS: We presented vignettes comprising sets of two completed PROMIS questionnaires and asked judges to declare whether the individual completing those questionnaires had an important change or not. We enrolled judges (including adolescents, parents, and clinicians) who responded to 24 vignettes (six for each domain of depression, pain interference, fatigue, and mobility). We used item response theory to model responses to the vignettes across different judges and estimated MID as the point at which 50 % of the judges would declare an important change. RESULTS: We enrolled 246 judges (78 adolescents, 85 parents, and 83 clinicians). The MID estimated with clinician data was about 2 points on the PROMIS T-score scale, and the MID estimated with adolescent and parent data was about 3 points on that same scale. CONCLUSIONS: The MIDs enhance the value of PROMIS pediatric measures in clinical research studies to identify meaningful changes in health status over time.
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