This proposed Patient-Reported Outcomes Measurement Information System (PROMIS) Statistical Center (PSC) will advise and educate members of the network on a range of qualitative research methods;develop and implement processes to ensure data quality;provide leadership in the development of PROMIS approved translations of new and extant domains;assist in the development and implementation of protocols, provide consultation on research design, sample size, sampling plans and power estimates for item bank testing;and provide psychometric and statistical support for the network. The PSC will serve as the repository for all data collected across the PROMIS network, enabling central quality assurance of data and analysis integrity. PSC investigators will provide leadership and expertise in mixed quantitative and qualitative methods approaches to develop, test and refine PROMIS items banks and assessment tools. The PSC will also participate with the PROMIS Network Steering Committee (PNSC) to prioritize the science and other decisions to be made regarding PROMIS measurement science and tools to support its widespread use. Our PSC investigators are international leaders in the development and evaluation of PRO Instruments and item banks, the design, implementation and coordination of clinical and survey research studies;and the development and application of psychometric, statistical and qualitative methods for analysis of self-report data, and cross-cultural PRO development and evaluation, including multi-lingual translations. Also, our own work in developing PROs and developing and using various forms of technology for their administration affords us valuable experience in collaborating with informatics experts, such as the PTC, to advance the use of these tools in research and practice. Given our nearly 5-year history as Statistical Coordinating Center for the PROMIS network, we are uniquely positioned to continue In a leadership role of PROMIS activities, advancing the science behind building and applying valid and clinically useful item banks. Application investigators have 4-years of collaborative experience on PROMIS and even more on related research. Our application offers the combination of the scientific and collaborative experience of our psychometric, statistical and qualitative investigators;our proven capabilities in data and project coordination and management;and our track record of network leadership and interdisciplinary and inter-Institutional collaboration. Through 3 functional cores and an admin unit, we will solicit, coordinate and activate Input from the PNSC, PTC, PNC and the PRS investigators to ensure the success of the PROMIS initiative.
The Patient-Reported Outcomes Measurement Information System (PROMIS) aims to develop scientifically sound, efficient ways to obtain information about symptoms and health status from patients with a range of chronic illnesses. The proposed PROMIS Statistical Center (PSC) will support this endeavor by providing expertise in instrument development, qualitative research, data management, psychometric analysis, statistical analysis, and linguistic translation of new PROMIS measures.
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|Moinpour, Carol M; Donaldson, Gary W; Davis, Kimberly M et al. (2017) The challenge of measuring intra-individual change in fatigue during cancer treatment. Qual Life Res 26:259-271|
|Zhao, Yue (2017) Impact of IRT item misfit on score estimates and severity classifications: an examination of PROMIS depression and pain interference item banks. Qual Life Res 26:555-564|
|Paz, Sylvia H; Spritzer, Karen L; Reise, Steven P et al. (2017) Differential item functioning of the patient-reported outcomes information system (PROMIS®) pain interference item bank by language (Spanish versus English). Qual Life Res 26:1451-1462|
|Hedrick, Traci L; Harrigan, Amy M; Thiele, Robert H et al. (2017) A pilot study of patient-centered outcome assessment using PROMIS for patients undergoing colorectal surgery. Support Care Cancer :|
|Penedo, Frank J; Cella, David (2017) Responding to the quality imperative to embed mental health care into ambulatory oncology. Cancer 123:382-386|
|Brandon, Timothy G; Becker, Brandon D; Bevans, Katherine B et al. (2017) Patient-Reported Outcomes Measurement Information System Tools for Collecting Patient-Reported Outcomes in Children With Juvenile Arthritis. Arthritis Care Res (Hoboken) 69:393-402|
|Stephens, Helen E; Joyce, Nanette C; Oskarsson, Björn (2017) National Study of Muscle Cramps in ALS in the USA. Amyotroph Lateral Scler Frontotemporal Degener 18:32-36|
|Lee, Augustine C; Driban, Jeffrey B; Price, Lori Lyn et al. (2017) Responsiveness and Minimally Important Differences for 4 Patient-Reported Outcomes Measurement Information System Short Forms: Physical Function, Pain Interference, Depression, and Anxiety in Knee Osteoarthritis. J Pain 18:1096-1110|
|Howell, Carrie R; Thompson, Lindsay A; Gross, Heather E et al. (2017) Association of consistently suboptimal quality of life with consistently poor asthma control in children with asthma. Ann Allergy Asthma Immunol 119:562-564.e1|
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