Literature DB >> 31104731

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

David Cella1, Seung W Choi2, David M Condon3, Ben Schalet4, Ron D Hays5, Nan E Rothrock4, Susan Yount4, Karon F Cook4, Richard C Gershon4, Dagmar Amtmann6, Darren A DeWalt7, Paul A Pilkonis8, Arthur A Stone9, Kevin Weinfurt10, Bryce B Reeve10.   

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.
Copyright © 2019 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

Entities:  

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

Mesh:

Year:  2019        PMID: 31104731      PMCID: PMC7201383          DOI: 10.1016/j.jval.2019.02.004

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  37 in total

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4.  Representativeness of the Patient-Reported Outcomes Measurement Information System Internet panel.

Authors:  Honghu Liu; David Cella; Richard Gershon; Jie Shen; Leo S Morales; William Riley; Ron D Hays
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5.  The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008.

Authors:  David Cella; William Riley; Arthur Stone; Nan Rothrock; Bryce Reeve; Susan Yount; Dagmar Amtmann; Rita Bode; Daniel Buysse; Seung Choi; Karon Cook; Robert Devellis; Darren DeWalt; James F Fries; Richard Gershon; Elizabeth A Hahn; Jin-Shei Lai; Paul Pilkonis; Dennis Revicki; Matthias Rose; Kevin Weinfurt; Ron Hays
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6.  The RAND 36-Item Health Survey 1.0.

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Authors:  Ron D Hays; Jakob B Bjorner; Dennis A Revicki; Karen L Spritzer; David Cella
Journal:  Qual Life Res       Date:  2009-06-19       Impact factor: 4.147

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4.  Linking Scores with Patient-Reported Health Outcome Instruments: A Validation Study and Comparison of Three Linking Methods.

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5.  Computing PROPr Utility Scores for PROMIS® Profile Instruments.

Authors:  Barry Dewitt; Hawre Jalal; Janel Hanmer
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Authors:  Jeffrey S Bland
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7.  Selecting, Administering, and Interpreting Outcome Measures among Adults with Lower-Limb Loss: An Update for Clinicians.

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Review 8.  Evidence on the relationship between PROMIS-29 and EQ-5D: a literature review.

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Review 9.  Pediatric Telehealth in the COVID-19 Pandemic Era and Beyond.

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10.  A template for physical resilience research in older adults: Methods of the PRIME-KNEE study.

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Journal:  J Am Geriatr Soc       Date:  2021-07-29       Impact factor: 5.562

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