@article{6d0046f280e543f68a1b3b7f70063893,
title = "Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items",
abstract = "Background: The use of global health items permits an efficient way of gathering general perceptions of health. These items provide useful summary information about health and are predictive of health care utilization and subsequent mortality. Methods: Analyses of 10 self-reported global health items obtained from an internet survey as part of the Patient-Reported Outcome Measurement Information System (PROMIS) project. We derived summary scores from the global health items. We estimated the associations of the summary scores with the EQ-5D index score and the PROMIS physical function, pain, fatigue, emotional distress, and social health domain scores. Results: Exploratory and confirmatory factor analyses supported a two-factor model. Global physical health (GPH; 4 items on overall physical health, physical function, pain, and fatigue) and global mental health (GMH; 4 items on quality of life, mental health, satisfaction with social activities, and emotional problems) scales were created. The scales had internal consistency reliability coefficients of 0.81 and 0.86, respectively. GPH correlated more strongly with the EQ-5D than did GMH (r = 0.76 vs. 0.59). GPH correlated most strongly with pain impact (r = -0.75) whereas GMH correlated most strongly with depressive symptoms (r = -0.71). Conclusions: Two dimensions representing physical and mental health underlie the global health items in PROMIS. These global health scales can be used to efficiently summarize physical and mental health in patient-reported outcome studies.",
keywords = "EQ-5D, Global health, Item response theory, PROMIS",
author = "Hays, {Ron D.} and Bjorner, {Jakob B.} and Revicki, {Dennis A.} and Spritzer, {Karen L.} and David Cella",
note = "Funding Information: Acknowledgments The Patient-Reported Outcomes Measurement Information System (PROMIS) is a US. National Institutes of Health (NIH) Roadmap initiative to develop a computerized system measuring patient-reported outcomes in respondents with a wide range of chronic diseases and demographic characteristics. PROMIS was funded by cooperative agreements to a Statistical Coordinating Center (Evanston Northwestern Healthcare, PI: David Cella, PhD, U01AR52177) and six Primary Research Sites (Duke University, PI: Kevin Weinfurt, PhD, U01AR52186; University of North Carolina, PI: Darren DeWalt, MD, MPH, U01AR52181; University of Pittsburgh, PI: Paul A. Pilkonis, PhD, U01AR52155; Stanford University, PI: James Fries, MD, U01AR52158; Stony Brook University, PI: Arthur Stone, PhD, U01AR52170; and University of Washington, PI: Dagmar Amtmann, PhD, U01AR52171). NIH Science Officers on this project are Deborah Ader, Ph.D., Susan Czajkowski, PhD, Lawrence Fine, MD, DrPH, Louis Quatrano, PhD, Bryce Reeve, PhD, William Riley, PhD, and Susana Serrate-Sztein, PhD. Ron D. Hays was also supported by the UCLA Resource Center for Minority Aging Research/Center for Health Improvement in Minority Elderly (P30AG021684), and the UCLA/DREW Project EXPORT, National Institutes of Health, National Center on Minority Health & Health Disparities (P20MD000148 and P20MD000182). This manuscript was reviewed by the PROMIS Publications Subcommittee prior to external peer review. See the web site at www.nihpromis.org for additional information on the PROMIS cooperative group.",
year = "2009",
month = sep,
doi = "10.1007/s11136-009-9496-9",
language = "English (US)",
volume = "18",
pages = "873--880",
journal = "Quality of Life Research",
issn = "0962-9343",
publisher = "Springer Netherlands",
number = "7",
}