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Cited by 79Psychometric Methodologies and TestingPain Management and Opioid UseHealth Systems, Economic Evaluations, Quality of Life

Establishing a common metric for self-reported pain: linking BPI Pain Interference and SF-36 Bodily Pain Subscale scores to the PROMIS Pain Interference metric

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Cook, Karon F., Schalet, Benjamin D., Kallen, Michael A., Rutsohn, Joshua P., Cella, David·2015·Quality of Life Research
DOI 10.1007/s11136-015-0987-6PMC PMC4567433
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Abstract

Purpose The study purposes were to mathematically link scores of the Brief Pain Inventory Pain Interference Subscale and the Short Form-36 Bodily Pain Subscale (legacy pain interference measures) to the NIH Patient-Reported Outcome Measurement Information System (PROMIS(®)) Pain Interference (PROMIS-PI) metric and evaluate results. Methods Linking was accomplished using both equipercentile and item response theory (IRT) methods. Item parameters for legacy items were estimated on the PROMIS-PI metric to allow for pattern scoring. Crosswalk tables also were developed that associated raw scores (summed or average) on legacy measures to PROMIS-PI scores. For each linking strategy, participants' actual PROMIS-PI scores were compared to those predicted based on their legacy scores. To assess the impact of different sample sizes, we conducted random resampling with replacement across 10,000 replications with sample sizes of n = 25, 50, and 75. Results Analyses supported the assumption that all three scales were measuring similar constructs. IRT methods produced marginally better results than equipercentile linking. Accuracy of the links was substantially affected by sample size. Conclusions The linking tools (crosswalks and item parameter estimates) developed in this study are robust methods for estimating the PROMIS-PI scores of samples based on legacy measures. We recommend using pattern scoring for users who have the necessary software and score crosswalks for those who do not.

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  • Daily Pain was assessed with the PROMIS pain intensity 3-item short-form which has demonstrated validity across conditions.

    “Daily Pain was assessed with the PROMIS pain intensity 3-item short-form 61,62 which has demonstrated validity across conditions63,64.”

    From Ecological momentary assessment of pain, fatigue, depressive, and cognitive symptoms reveals significant daily variability in multiple sclerosis (2017) · cites this paper as [63]

    The Methods—Measures section describes validity evidence for the PROMIS Pain Interference item bank, not the PROMIS Pain Intensity 3-item short form. Searches for the 3-item intensity form and validity across conditions found no passage addressing that claim. Page numbers were not available in our copy. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

  • Daily Fatigue was assessed with the PROMIS fatigue 6-item short-form, which has demonstrated validity across conditions and ecological validity when administered in diary format, and has been linked to legacy fatigue measures in MS.

    “Daily Fatigue was assessed with the PROMIS fatigue 6-item short-form, which has demonstrated validity across conditions63,65,66 and ecological validity when administered in diary format67, and has been linked to legacy fatigue measures in MS66.”

    From Ecological momentary assessment of pain, fatigue, depressive, and cognitive symptoms reveals significant daily variability in multiple sclerosis (2017) · cites this paper as [63]

    The Methods (Measures) and Discussion describe the PROMIS Pain Interference measure and its links to legacy pain measures, not the PROMIS fatigue 6-item short form. Searches for diary-format validity and links to legacy fatigue measures in MS found no passage addressing those claims; the paper’s mention of MS concerns pain measures. (LLM, conf=0.77)

    Experimental — accuracy not yet measured

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Authors
Cook, K. F., Schalet, B. D., Kallen, M. A., Rutsohn, J. P., & Cella, D.
Affiliations
Northwestern University (US)
Corresponding author
Cook, Karon F.
ORCID
Venue
Quality of Life Research
Publisher
Springer Science and Business Media LLC
Published
2015-04-18
Volume
24
Issue
10
Pages
2305-2318
ISSN
  • 0962-9343 (ISSN-L)
  • 1573-2649
DOI
10.1007/s11136-015-0987-6
PMC
PMC4567433
OpenAlex
W2060150796
Cited by
79
References
12
Citations by year
2026: 3 · 2025: 4 · 2024: 9 · 2023: 9 · 2022: 13 · 2021: 9 · 2020: 10 · 2019: 5 · 2018: 7 · 2017: 5 · 2016: 3 · 2015: 2
FWCI
7.08
Type
journal article
Language
en
Open access
Licence
Locations
  • Quality of Life Research (publishedVersion)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion, other-oa)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
  • National Institutes of Health
  • National Cancer Institute (U2CCA186878, RC4CA157236, P30CA060553)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
Keywords
pain interference, PROMIS pain interference, Brief Pain Inventory, pedestrian crossings, item response theory, equipercentile linking, sample size effects, patient-reported outcomes, self-reported pain
MeSH terms
Adult, Aged, Female, Humans, Information Systems, Male, Middle Aged, Pain, Pain Measurement, Patients, Psychometrics, Quality of Life, Surveys and Questionnaires, Socioeconomic Factors, Sample Size, Self Report

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