This proposed Technology Center (PTC) for the Patient-Reported Outcomes Measurement Information System (PROMIS) will provide and manage a secure, customizable data collection, management, and reporting system (Assessment Center);serve as a cost-effective, efficient technological resource for the PROMIS network;conduct outreach efforts through publications, presentations, and educational tools to increase the research community's interest in the PROMIS measures and Assessment Center as a platform for data collection;and work collaboratively with the PROMIS network to create a sustained public-private partnership. Our team successfully developed Assessment Center one year ahead of schedule with features beyond NIH requirements during previous PROMIS funding. Additional features identified through the PROMIS Network, current users, and the NIH such as Interactive Voice Response, a hand-held data collection modality, increased real-time reporting of responses, improved tracking of participants in longitudinal studies, and new computerized adaptive testing (CAT) algorithms will be implemented. We will provide computer-based testing platforms for the validation and item bank development projects anticipated in the next PROMIS funding cycle. We will continue to support the 700 current investigators who are already using Assessment Center, as well as new users, through the development and provision of printed, online interactive and in-person training as well as providing support via a toll-free telephone number and email. The scientific strength of our outcomes investigators, psychometricians, software developers, database managers, and communications specialists and our track record of interdisciplinary and inter-institutional collaboration uniquely equip our proposed PTC to accomplish and extend our contribution beyond enabling online data collection in multi-site studies, to ensure the success of the PROMIS initiative.
As the PROMIS Technology Center, we will further develop and improve Assessment Center, an online software application that allows a researcher to establish a study-specific website for data collection. We will aid the network of PROMIS investigators in creating and using computer-based data collection systems. We will also provide technical support and education for the broader scientific community about PROMIS and Assessment Center.
|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|
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|Morgan, Esi M; Mara, Constance A; Huang, Bin et al. (2017) Establishing clinical meaning and defining important differences for Patient-Reported Outcomes Measurement Information System (PROMIS®) measures in juvenile idiopathic arthritis using standard setting with patients, parents, and providers. Qual Life Res 26:565-586|
|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|
|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 :|
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|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|
|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|
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