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PROMIS® Adult Health Profiles: Efficient Short-Form Measures of Seven Health Domains.
Cella, David; Choi, Seung W; Condon, David M; Schalet, Ben; Hays, Ron D; Rothrock, Nan E; Yount, Susan; Cook, Karon F; Gershon, Richard C; Amtmann, Dagmar; DeWalt, Darren A; Pilkonis, Paul A; Stone, Arthur A; Weinfurt, Kevin; Reeve, Bryce B.
Afiliação
  • Cella D; Northwestern University Feinberg School of Medicine, Chicago, IL, USA. Electronic address: d-cella@northwestern.edu.
  • Choi SW; University of Texas at Austin, Austin, TX, USA.
  • Condon DM; University of Oregon, Eugene, OR, USA.
  • Schalet B; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Hays RD; University of California at Los Angeles, Los Angeles, CA, USA.
  • Rothrock NE; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Yount S; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Cook KF; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Gershon RC; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Amtmann D; University of Washington, Seattle, WA, USA.
  • DeWalt DA; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Pilkonis PA; University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Stone AA; University of Southern California, Los Angeles, CA, USA.
  • Weinfurt K; Duke University School of Medicine, Durham, NC.
  • Reeve BB; Duke University School of Medicine, Durham, NC.
Value Health ; 22(5): 537-544, 2019 05.
Article em En | MEDLINE | ID: mdl-31104731
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2019 Tipo de documento: Article