Abstract
Purpose
We provide detailed instructions for analyzing patient-reported outcome (PRO) data collected with an existing (legacy) instrument
so that scores can be calibrated to the PRO Measurement Information System (PROMIS) metric. This calibration facilitates migration
to computerized adaptive test (CAT) PROMIS data collection, while facilitating research using historical legacy data alongside
new PROMIS data.
so that scores can be calibrated to the PRO Measurement Information System (PROMIS) metric. This calibration facilitates migration
to computerized adaptive test (CAT) PROMIS data collection, while facilitating research using historical legacy data alongside
new PROMIS data.
Methods
A cross-sectional convenience sample (n = 2,178) from the Universities of Washington and Alabama at Birmingham HIV clinics completed the PROMIS short form and Patient
Health Questionnaire (PHQ-9) depression symptom measures between August 2008 and December 2009. We calibrated the tests using
item response theory. We compared measurement precision of the PHQ-9, the PROMIS short form, and simulated PROMIS CAT.
Health Questionnaire (PHQ-9) depression symptom measures between August 2008 and December 2009. We calibrated the tests using
item response theory. We compared measurement precision of the PHQ-9, the PROMIS short form, and simulated PROMIS CAT.
Results
Dimensionality analyses confirmed the PHQ-9 could be calibrated to the PROMIS metric. We provide code used to score the PHQ-9
on the PROMIS metric. The mean standard errors of measurement were 0.49 for the PHQ-9, 0.35 for the PROMIS short form, and
0.37, 0.28, and 0.27 for 3-, 8-, and 9-item-simulated CATs.
on the PROMIS metric. The mean standard errors of measurement were 0.49 for the PHQ-9, 0.35 for the PROMIS short form, and
0.37, 0.28, and 0.27 for 3-, 8-, and 9-item-simulated CATs.
- Content Type Journal Article
- Pages 1-9
- DOI 10.1007/s11136-011-9882-y
- Authors
- Laura E. Gibbons, General Internal Medicine, University of Washington, Box 359780, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104, USA
- Betsy J. Feldman, Allergy and Infectious Diseases, University of Washington, Box 359931, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104, USA
- Heidi M. Crane, Allergy and Infectious Diseases, University of Washington, Box 359931, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104, USA
- Michael Mugavero, Department of Medicine, Division of Infectious Disease, University of Alabama at Birmingham, 1530 Third Ave S, CCB 142, Birmingham, AL 35294-2050, USA
- James H. Willig, Department of Medicine, Division of Infectious Disease, University of Alabama at Birmingham, 1530 Third Ave S, CCB 178, Birmingham, AL 35294-2050, USA
- Donald Patrick, Department of Health Services, University of Washington, Box 359455, 4333 Brooklyn Ave NE, Seattle, WA 98195-9455, USA
- Joseph Schumacher, Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, 1717 11th Avenue South, 616 Medical Towers Building, Birmingham, AL 35209, USA
- Michael Saag, Center for AIDS Research, University of Alabama at Birmingham, 845 19th Street South, BBRB 256, Birmingham, AL 35294-2050, USA
- Mari M. Kitahata, Allergy and Infectious Diseases, University of Washington, Box 359931, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104, USA
- Paul K. Crane, General Internal Medicine, University of Washington, Box 359780, Harborview Medical Center, 325 Ninth Ave, Seattle, WA 98104, USA
- Journal Quality of Life Research
- Online ISSN 1573-2649
- Print ISSN 0962-9343