Patient-reported outcomes (PROs) have gained increasing recognition as legitimate biomedical endpoints and in 2004 NIH launched the PROMIS Initiative to improve outcome measurement by building and validating item banks. If the """"""""promise"""""""" of using patient-reported outcomes to monitor and improve health is to be realized, it is essential to ensure that PROMIS tools are appropriate and psychometrically equivalent for diverse populations cared for outside of specialized health care settings. This is especially important given the substantial health disparities across race/ethnic, age and social class groups. However, there has been limited research establishing equivalence of measures across diverse groups. To fill this gap, we propose a 3-pronged approach to evaluate PROMIS item bank measures in a population-based sample of White, Hispanic, Black and Asian adult cancer patients. We focus on cancer since it is a leading chronic disease and one where there are important disparities in experience and outcomes across the disease trajectory. We have selected 5 cancers (female breast, uterine and cervical cancer, and male and female colorectal cancer and non- Hodgkin's Lymphoma) to ensure a wide age range and symptoms. We use IRT-based methods and construct validation to assess the use of item bank measures for the domains of pain, depression, fatigue, social function, and physical function. In our first phase, our experienced, multidisciplinary team will conduct a qualitative study to assess conceptual equivalence of PROMIS item banks, focusing primarily on Latino and Asian cancer patients since there has been little research in these groups;we will also translate items into Chinese. In our next phase, we will conduct a population based study using 4 cancer registries (from California (2), New Jersey, Louisiana) to randomly recruit 4,000 patients diagnosed in the previous 6-9 months. We will interview 1,000 patients from each race/ethnic group divided evenly among two age groups (ages 21-64, and ages 65-84). Participants will be surveyed using a mixed mode approach (mail and phone) at initial recruitment and again 6 months later. Our third component is an exploratory clinical study (n=200) to examine whether the PROMIS fatigue measures generate sufficiently precise estimates of change over time during the first 6 months of chemotherapy to help guide care management. Our study will provide a comprehensive set of empirical data on PROMIS measurement performance across sub- populations, indicating likely causes of any observed differences. Our approach leverages investments in, and extends the scope of, the PROMIS Initiative by developing measures that can be used to evaluate the impact of intentions, inform practice, and monitor population health disparities.

Public Health Relevance

Our project is designed to evaluate research methods being developed the by the NIH-funded Patient Reported Outcomes Measurement Information System (PROMIS) to measure depression, fatigue, physical function, and social function. Our research focuses on comparing how well these measures perform across 4 major race/ethnic and 2 age groups in large group of cancer patients. Our study will provide the most evidence assembled to date about whether there are differences in the measurements of these outcomes across different population groups. The research will provide data to inform changes to improve the measures and ultimately enable their wider use in health research

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01AR057971-04
Application #
8327651
Study Section
Special Emphasis Panel (ZRG1-RPHB-A (54))
Program Officer
Serrate-Sztein, Susana
Project Start
2009-09-30
Project End
2014-07-31
Budget Start
2012-08-01
Budget End
2014-07-31
Support Year
4
Fiscal Year
2012
Total Cost
$1,145,445
Indirect Cost
$184,322
Name
Georgetown University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
049515844
City
Washington
State
DC
Country
United States
Zip Code
20057
Schalet, Benjamin D; Hays, Ron D; Jensen, Sally E et al. (2016) Validity of PROMIS physical function measured in diverse clinical samples. J Clin Epidemiol 73:112-8
Cook, Karon F; Jensen, Sally E; Schalet, Benjamin D et al. (2016) PROMIS measures of pain, fatigue, negative affect, physical function, and social function demonstrated clinical validity across a range of chronic conditions. J Clin Epidemiol 73:89-102
Moinpour, Carol M; Donaldson, Gary W; Davis, Kimberly M et al. (2016) The challenge of measuring intra-individual change in fatigue during cancer treatment. Qual Life Res :
Kashikar-Zuck, Susmita; Carle, Adam; Barnett, Kimberly et al. (2016) Longitudinal evaluation of patient-reported outcomes measurement information systems measures in pediatric chronic pain. Pain 157:339-47
Dampier, Carlton; Barry, Vaughn; Gross, Heather E et al. (2016) Initial Evaluation of the Pediatric PROMIS® Health Domains in Children and Adolescents With Sickle Cell Disease. Pediatr Blood Cancer 63:1031-7
Schalet, Benjamin D; Pilkonis, Paul A; Yu, Lan et al. (2016) Clinical validity of PROMIS Depression, Anxiety, and Anger across diverse clinical samples. J Clin Epidemiol 73:119-27
Jensen, Roxanne E; Moinpour, Carol M; Potosky, Arnold L et al. (2016) Responsiveness of 8 Patient-Reported Outcomes Measurement Information System (PROMIS) measures in a large, community-based cancer study cohort. Cancer :
Li, Zheng; Thompson, Lindsay A; Gross, Heather E et al. (2016) Longitudinal associations among asthma control, sleep problems, and health-related quality of life in children with asthma: a report from the PROMIS(®) Pediatric Asthma Study. Sleep Med 20:41-50
Thissen, David; Liu, Yang; Magnus, Brooke et al. (2016) Estimating minimally important difference (MID) in PROMIS pediatric measures using the scale-judgment method. Qual Life Res 25:13-23
Stukenborg, George J; Blackhall, Leslie J; Harrison, James H et al. (2016) Longitudinal patterns of cancer patient reported outcomes in end of life care predict survival. Support Care Cancer 24:2217-24

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