PRO-Bookmarking to Estimate Clinical Thresholds for Patient-reported Symptoms and Function

被引:25
作者
Cook, Karon F. [1 ]
Cella, David [1 ]
Reeve, Bryce B. [2 ]
机构
[1] Northwestern Univ, Feinberg Sch Med, 633 N St Clair, Chicago, IL 60611 USA
[2] Duke Univ, Sch Med, Durham, NC USA
关键词
patient-reported outcome measures; reference values; reference standards; psychometrics; IMPORTANT-DIFFERENCE; PROMISA(R) MEASURES; STANDARDS; SEVERITY; FATIGUE; STATE;
D O I
10.1097/MLR.0000000000001087
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Introduction: PRO-Bookmarking is an alternative to traditional methods for deriving cut scores and applying qualitative modifiers to score ranges. Methods: In PRO-Bookmarking, a working group of stakeholders identifies ranges of scores they judge to credibly define different levels of a patient-reported outcome (PRO). Subsets of items and responses, called "clinical vignettes," are woven into a narrative to represent different levels of the PRO. Working individually, stakeholders bookmark thresholds between clinical vignettes, ordered by PRO level, to define thresholds (eg, no problems, mild problems). Discussion of individual bookmark placements is led by a moderator with the goal of consensus with regard to bookmark locations. Discussion: The value of PRO measures depends on the extent to which different stakeholders are able to interpret scores. The PRO-Bookmarking method provides credible evidence on the common-language meaning of different ranges of scores. This evidence supplements other interpretative methods such as normative comparisons and comparisons with an external standard. PRO-Bookmarking is particularly valuable when, as is often the case with PRO measures, there is no clear external standard or even a useful external reference with which to compare PRO scores. Key Points: The PRO-Bookmarking procedure is a qualitative method that engages key stakeholders in in-depth consideration of the semantic meaning of ranges of PRO scores. Measures based on item banks calibrated using item response theory are ideal for PROBookmarking. Response probabilities conditioned on different levels of the PRO are derived directly from the item response theory model, and item banks contain more items than traditional measures. Having a large number of items provides flexibility in the choice and variety of items that can be used to comprise the clinical vignettes. There is much to learn about Bookmarking in the PRO context and, more generally, about all methods for establishing PRO score thresholds. Issues for further study include the role of context of use for classifications, selection of semantic labels for levels of a PRO, and the extent to which findings generalize to clinical utility.
引用
收藏
页码:S13 / S17
页数:5
相关论文
共 16 条
  • [1] Defining and Measuring College and Career Readiness: A Validation Framework
    Camara, Wayne
    [J]. EDUCATIONAL MEASUREMENT-ISSUES AND PRACTICE, 2013, 32 (04) : 16 - 27
  • [2] Setting standards for severity of common symptoms in oncology using the PROMIS item banks and expert judgment
    Cella, David
    Choi, Seung
    Garcia, Sofia
    Cook, Karon F.
    Rosenbloom, Sarah
    Lai, Jin-Shei
    Tatum, Donna Surges
    Gershon, Richard
    [J]. QUALITY OF LIFE RESEARCH, 2014, 23 (10) : 2651 - 2661
  • [3] RECONSIDERING STANDARDS AND CRITERIA
    CIZEK, GJ
    [J]. JOURNAL OF EDUCATIONAL MEASUREMENT, 1993, 30 (02) : 93 - 106
  • [4] Cizek GJ, 2012, INTRO CONT STANDARD
  • [5] Idio Scale Judgment: evaluation of a new method for estimating responder thresholds
    Cook, Karon F.
    Kallen, Michael A.
    Coon, Cheryl D.
    Victorson, David
    Miller, Deborah M.
    [J]. QUALITY OF LIFE RESEARCH, 2017, 26 (11) : 2961 - 2971
  • [6] Creating meaningful cut-scores for Neuro-QOL measures of fatigue, physical functioning, and sleep disturbance using standard setting with patients and providers
    Cook, Karon F.
    Victorson, David E.
    Cella, David
    Schalet, Benjamin D.
    Miller, Deborah
    [J]. QUALITY OF LIFE RESEARCH, 2015, 24 (03) : 575 - 589
  • [7] Fatigue and Aging With a Disability
    Cook, Karon F.
    Molton, Ivan R.
    Jensen, Mark P.
    [J]. ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 2011, 92 (07): : 1126 - 1133
  • [8] Delphi as a method to establish consensus for diagnostic criteria
    Graham, B
    Regehr, G
    Wright, JG
    [J]. JOURNAL OF CLINICAL EPIDEMIOLOGY, 2003, 56 (12) : 1150 - 1156
  • [9] Responsiveness of 8 Patient-Reported Outcomes Measurement Information System (PROMIS) Measures in a Large, Community-Based Cancer Study Cohort
    Jensen, Roxanne E.
    Moinpour, Carol M.
    Potosky, Arnold L.
    Lobo, Tania
    Hahn, Elizabeth A.
    Hays, Ron D.
    Cella, David
    Smith, Ashley Wilder
    Wu, Xiao-Cheng
    Keegan, Theresa H. M.
    Paddock, Lisa E.
    Stroup, Antoinette M.
    Eton, David T.
    [J]. CANCER, 2017, 123 (02) : 327 - 335
  • [10] Minimal clinically important improvement/difference (MCII/MCID) and patient acceptable symptom state (PASS): what do these concepts mean?
    Kvien, Tore K.
    Heiberg, Turid
    Hagen, Kare B.
    [J]. ANNALS OF THE RHEUMATIC DISEASES, 2007, 66 : 40 - 41