PROMIS® Adult Health Profiles: Efficient Short-Form Measures of Seven Health Domains

David Cella; Seung W. Choi; David M. Condon; Ben Schalet; Ron D. Hays; Nan E. Rothrock; Susan Yount; Karon F. Cook; Richard C. Gershon; Dagmar Amtmann; Darren A. DeWalt; Paul A. Pilkonis; Arthur A. Stone; Kevin Weinfurt; Bryce B. Reeve

doi:10.1016/j.jval.2019.02.004

PROMIS^® Adult Health Profiles: Efficient Short-Form Measures of Seven Health Domains

David Cella^*, Seung W. Choi, David M. Condon, Ben Schalet, Ron D. Hays, Nan E. Rothrock, Susan Yount, Karon F. Cook, Richard C. Gershon, Dagmar Amtmann, Darren A. DeWalt, Paul A. Pilkonis, Arthur A. Stone, Kevin Weinfurt, Bryce B. Reeve

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

445 Scopus citations

Abstract

Background: There is a need for valid self-report measures of core health-related quality of life (HRQoL) domains. Objective: To derive brief, reliable and valid health profile measures from the Patient Reported Outcomes Measurement Information System^® (PROMIS^®) item banks. Methods: Literature review, investigator consensus process, item response theory (IRT) analysis, and expert review of scaling results from multiple PROMIS data sets. We developed 3 profile measures ranging in length from 29 to 57 questions. These profiles assess important HRQoL domains with highly informative subsets of items from respective item banks and yield reliable information across mild-to-severe levels of HRQoL experiences. Each instrument assesses the domains of pain interference, fatigue, depression, anxiety, sleep disturbance, physical function, and social function using 4-, 6-, and 8-item short forms for each domain, and an average pain intensity domain score, using a 0-10 numeric rating scale. Results: With few exceptions, all domain short forms within the profile measures were highly reliable across at least 3 standard deviation (30 T-score) units and were strongly correlated with the full bank scores. Construct validity with ratings of general health and quality of life was demonstrated. Information to inform statistical power for clinical and general population samples is also provided. Conclusions: Although these profile measures have been used widely, with summary scoring routines published, description of their development, reliability, and initial validity has not been published until this article. Further evaluation of these measures and clinical applications are encouraged.

Original language	English (US)
Pages (from-to)	537-544
Number of pages	8
Journal	Value in Health
Volume	22
Issue number	5
DOIs	https://doi.org/10.1016/j.jval.2019.02.004
State	Published - May 2019

Funding

This work was funded by the US National Institutes of Health, grant numbers U01AR052177, U54AR057951, and U2CCA186878. The authors would like to thank James F. Fries, MD, Professor Emeritus, Stanford University, for his valuable advice and input on this article. This work was funded by the US National Institutes of Health , grant numbers U01AR052177 , U54AR057951 , and U2CCA186878 . The authors would like to thank James F. Fries, MD, Professor Emeritus, Stanford University, for his valuable advice and input on this article.

Keywords

PROMIS®
health-related quality of life
information system
patient-reported outcome measurement

ASJC Scopus subject areas

Health Policy
Public Health, Environmental and Occupational Health

Access to Document

10.1016/j.jval.2019.02.004

Cite this

Cella, D., Choi, S. W., Condon, D. M., Schalet, B., Hays, R. D., Rothrock, N. E., Yount, S., Cook, K. F., Gershon, R. C., Amtmann, D., DeWalt, D. A., Pilkonis, P. A., Stone, A. A., Weinfurt, K., & Reeve, B. B. (2019). PROMIS^® Adult Health Profiles: Efficient Short-Form Measures of Seven Health Domains. Value in Health, 22(5), 537-544. https://doi.org/10.1016/j.jval.2019.02.004

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title = "PROMIS{\textregistered} Adult Health Profiles: Efficient Short-Form Measures of Seven Health Domains",

abstract = "Background: There is a need for valid self-report measures of core health-related quality of life (HRQoL) domains. Objective: To derive brief, reliable and valid health profile measures from the Patient Reported Outcomes Measurement Information System{\textregistered} (PROMIS{\textregistered}) item banks. Methods: Literature review, investigator consensus process, item response theory (IRT) analysis, and expert review of scaling results from multiple PROMIS data sets. We developed 3 profile measures ranging in length from 29 to 57 questions. These profiles assess important HRQoL domains with highly informative subsets of items from respective item banks and yield reliable information across mild-to-severe levels of HRQoL experiences. Each instrument assesses the domains of pain interference, fatigue, depression, anxiety, sleep disturbance, physical function, and social function using 4-, 6-, and 8-item short forms for each domain, and an average pain intensity domain score, using a 0-10 numeric rating scale. Results: With few exceptions, all domain short forms within the profile measures were highly reliable across at least 3 standard deviation (30 T-score) units and were strongly correlated with the full bank scores. Construct validity with ratings of general health and quality of life was demonstrated. Information to inform statistical power for clinical and general population samples is also provided. Conclusions: Although these profile measures have been used widely, with summary scoring routines published, description of their development, reliability, and initial validity has not been published until this article. Further evaluation of these measures and clinical applications are encouraged.",

keywords = "PROMIS{\textregistered}, health-related quality of life, information system, patient-reported outcome measurement",

author = "David Cella and Choi, {Seung W.} and Condon, {David M.} and Ben Schalet and Hays, {Ron D.} and Rothrock, {Nan E.} and Susan Yount and Cook, {Karon F.} and Gershon, {Richard C.} and Dagmar Amtmann and DeWalt, {Darren A.} and Pilkonis, {Paul A.} and Stone, {Arthur A.} and Kevin Weinfurt and Reeve, {Bryce B.}",

note = "Publisher Copyright: {\textcopyright} 2019 ISPOR–The Professional Society for Health Economics and Outcomes Research",

year = "2019",

month = may,

doi = "10.1016/j.jval.2019.02.004",

language = "English (US)",

volume = "22",

pages = "537--544",

journal = "Value in Health",

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T1 - PROMIS® Adult Health Profiles

T2 - Efficient Short-Form Measures of Seven Health Domains

AU - Cella, David

AU - Choi, Seung W.

AU - Condon, David M.

AU - Schalet, Ben

AU - Hays, Ron D.

AU - Rothrock, Nan E.

AU - Yount, Susan

AU - Cook, Karon F.

AU - Gershon, Richard C.

AU - Amtmann, Dagmar

AU - DeWalt, Darren A.

AU - Pilkonis, Paul A.

AU - Stone, Arthur A.

AU - Weinfurt, Kevin

AU - Reeve, Bryce B.

PY - 2019/5

Y1 - 2019/5

N2 - Background: There is a need for valid self-report measures of core health-related quality of life (HRQoL) domains. Objective: To derive brief, reliable and valid health profile measures from the Patient Reported Outcomes Measurement Information System® (PROMIS®) item banks. Methods: Literature review, investigator consensus process, item response theory (IRT) analysis, and expert review of scaling results from multiple PROMIS data sets. We developed 3 profile measures ranging in length from 29 to 57 questions. These profiles assess important HRQoL domains with highly informative subsets of items from respective item banks and yield reliable information across mild-to-severe levels of HRQoL experiences. Each instrument assesses the domains of pain interference, fatigue, depression, anxiety, sleep disturbance, physical function, and social function using 4-, 6-, and 8-item short forms for each domain, and an average pain intensity domain score, using a 0-10 numeric rating scale. Results: With few exceptions, all domain short forms within the profile measures were highly reliable across at least 3 standard deviation (30 T-score) units and were strongly correlated with the full bank scores. Construct validity with ratings of general health and quality of life was demonstrated. Information to inform statistical power for clinical and general population samples is also provided. Conclusions: Although these profile measures have been used widely, with summary scoring routines published, description of their development, reliability, and initial validity has not been published until this article. Further evaluation of these measures and clinical applications are encouraged.

AB - Background: There is a need for valid self-report measures of core health-related quality of life (HRQoL) domains. Objective: To derive brief, reliable and valid health profile measures from the Patient Reported Outcomes Measurement Information System® (PROMIS®) item banks. Methods: Literature review, investigator consensus process, item response theory (IRT) analysis, and expert review of scaling results from multiple PROMIS data sets. We developed 3 profile measures ranging in length from 29 to 57 questions. These profiles assess important HRQoL domains with highly informative subsets of items from respective item banks and yield reliable information across mild-to-severe levels of HRQoL experiences. Each instrument assesses the domains of pain interference, fatigue, depression, anxiety, sleep disturbance, physical function, and social function using 4-, 6-, and 8-item short forms for each domain, and an average pain intensity domain score, using a 0-10 numeric rating scale. Results: With few exceptions, all domain short forms within the profile measures were highly reliable across at least 3 standard deviation (30 T-score) units and were strongly correlated with the full bank scores. Construct validity with ratings of general health and quality of life was demonstrated. Information to inform statistical power for clinical and general population samples is also provided. Conclusions: Although these profile measures have been used widely, with summary scoring routines published, description of their development, reliability, and initial validity has not been published until this article. Further evaluation of these measures and clinical applications are encouraged.

KW - PROMIS®

KW - health-related quality of life

KW - information system

KW - patient-reported outcome measurement

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