BACKGROUND: Although the use of patient-reported outcome measures (PROs) has increased markedly, clinical interpretation of scores remains lacking. We developed a method to identify clinical severity thresholds for pain, fatigue, depression, and anxiety in people with cancer. METHODS: Using available Patient-Reported Outcomes Measurement Information System (PROMIS) item bank response data collected on 840 cancer patients, symptom vignettes across a range of symptom severity were developed and placed on index cards. Cards represented symptom severity at five-point intervals differences on the T score metric [mean = 50; standard deviation (SD) = 10]. Symptom vignettes for each symptom were anchored on these standardized scores at 0.5 SD increments across the full range of severity. Clinical experts, blind to the PROMIS score associated with each vignette, rank-ordered the vignettes by severity, then arrived at consensus regarding which two vignettes were at the upper and lower boundaries of normal and mildly symptomatic for each symptom. The procedure was repeated to identify cut scores separating mildly from moderately symptomatic, and moderately from severely symptomatic scores. Clinician severity rankings were then compared to the T scores upon which the vignettes were based. RESULTS: For each of the targeted PROs, the severity rankings reached by clinician consensus perfectly matched the numerical rankings of their associated T scores. Across all symptoms, the thresholds (cut scores) identified to differentiate normal from mildly symptomatic were near a T score of 50. Cut scores differentiating mildly from moderately symptomatic were at or near 60, and those separating moderately from severely symptomatic were at or near 70. CONCLUSIONS: The study results provide empirically generated PROMIS T score thresholds that differentiate levels of symptom severity for pain interference, fatigue, anxiety, and depression. The convergence of clinical judgment with self-reported patient severity scores supports the validity of this methodology to derive clinically relevant symptom severity levels for PROMIS symptom measures in other settings.
BACKGROUND: Although the use of patient-reported outcome measures (PROs) has increased markedly, clinical interpretation of scores remains lacking. We developed a method to identify clinical severity thresholds for pain, fatigue, depression, and anxiety in people with cancer. METHODS: Using available Patient-Reported Outcomes Measurement Information System (PROMIS) item bank response data collected on 840 cancerpatients, symptom vignettes across a range of symptom severity were developed and placed on index cards. Cards represented symptom severity at five-point intervals differences on the T score metric [mean = 50; standard deviation (SD) = 10]. Symptom vignettes for each symptom were anchored on these standardized scores at 0.5 SD increments across the full range of severity. Clinical experts, blind to the PROMIS score associated with each vignette, rank-ordered the vignettes by severity, then arrived at consensus regarding which two vignettes were at the upper and lower boundaries of normal and mildly symptomatic for each symptom. The procedure was repeated to identify cut scores separating mildly from moderately symptomatic, and moderately from severely symptomatic scores. Clinician severity rankings were then compared to the T scores upon which the vignettes were based. RESULTS: For each of the targeted PROs, the severity rankings reached by clinician consensus perfectly matched the numerical rankings of their associated T scores. Across all symptoms, the thresholds (cut scores) identified to differentiate normal from mildly symptomatic were near a T score of 50. Cut scores differentiating mildly from moderately symptomatic were at or near 60, and those separating moderately from severely symptomatic were at or near 70. CONCLUSIONS: The study results provide empirically generated PROMIS T score thresholds that differentiate levels of symptom severity for pain interference, fatigue, anxiety, and depression. The convergence of clinical judgment with self-reported patient severity scores supports the validity of this methodology to derive clinically relevant symptom severity levels for PROMIS symptom measures in other settings.
Authors: William T Riley; Nan Rothrock; Bonnie Bruce; Christopher Christodolou; Karon Cook; Elizabeth A Hahn; David Cella Journal: Qual Life Res Date: 2010-07-01 Impact factor: 4.147
Authors: Bryce B Reeve; Ron D Hays; Jakob B Bjorner; Karon F Cook; Paul K Crane; Jeanne A Teresi; David Thissen; Dennis A Revicki; David J Weiss; Ronald K Hambleton; Honghu Liu; Richard Gershon; Steven P Reise; Jin-shei Lai; David Cella Journal: Med Care Date: 2007-05 Impact factor: 2.983
Authors: Xin Shelley Wang; Fengmin Zhao; Michael J Fisch; Ann M O'Mara; David Cella; Tito R Mendoza; Charles S Cleeland Journal: Cancer Date: 2014-02-01 Impact factor: 6.860
Authors: Barbara Given; Charles W Given; Alla Sikorskii; Sangchoon Jeon; Ruth McCorkle; Victoria Champion; David Decker Journal: J Pain Symptom Manage Date: 2007-12-26 Impact factor: 3.612
Authors: Amy P Abernethy; James E Herndon; Jane L Wheeler; Jeannette M Day; Linda Hood; Meenal Patwardhan; Heather Shaw; Herbert Kim Lyerly Journal: J Pain Symptom Manage Date: 2009-04-25 Impact factor: 3.612
Authors: Madeleine T King; David Cella; David Osoba; Martin Stockler; David Eton; Joanna Thompson; Amy Eisenstein Journal: Patient Relat Outcome Meas Date: 2010-09-23
Authors: Jan van Bebber; Gerard Flens; Johanna T W Wigman; Edwin de Beurs; Sjoerd Sytema; Lex Wunderink; Rob R Meijer Journal: Int J Methods Psychiatr Res Date: 2018-09-24 Impact factor: 4.035
Authors: Roxanne E Jensen; Arnold L Potosky; Carol M Moinpour; Tania Lobo; David Cella; Elizabeth A Hahn; David Thissen; Ashley Wilder Smith; Jaeil Ahn; George Luta; Bryce B Reeve Journal: J Clin Oncol Date: 2017-04-20 Impact factor: 44.544
Authors: Roxanne E Jensen; Nan E Rothrock; Esi M DeWitt; Brennan Spiegel; Carole A Tucker; Heidi M Crane; Christopher B Forrest; Donald L Patrick; Rob Fredericksen; Lisa M Shulman; David Cella; Paul K Crane Journal: Med Care Date: 2015-02 Impact factor: 2.983
Authors: Kathryn L Taylor; George Luta; Richard M Hoffman; Kimberly M Davis; Tania Lobo; Yingjun Zhou; Amethyst Leimpeter; Jun Shan; Roxanne E Jensen; David S Aaronson; Stephen K Van Den Eeden Journal: Transl Behav Med Date: 2018-03-01 Impact factor: 3.046
Authors: Kerrie Clover; Sylvie D Lambert; Christopher Oldmeadow; Benjamin Britton; Madeleine T King; Alex J Mitchell; Gregory Carter Journal: Qual Life Res Date: 2018-02-08 Impact factor: 4.147