Yahoo Search Búsqueda en la Web

Resultado de búsqueda

  1. 1 de nov. de 2010 · The Patient-Reported Outcomes Measurement Information System (PROMIS) is an NIH Roadmap initiative to develop a computerized system measuring PROs in respondents with a wide range of chronic diseases and demographic characteristics.

  2. 22 de mar. de 2024 · This initiative applied to a wide range of disorders including cancer, congestive heart failure, depression, arthritis, and multiple sclerosis, as well as chronic pain conditions. PROMIS created new paradigms for how clinical research information is collected, used, and reported.

  3. Abstract. Background: The National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS) Roadmap initiative (www.nihpromis.org) is a 5-year cooperative group program of research designed to develop, validate, and standardize item banks to measure patient-reported outcomes (PROs) relevant across common ...

  4. theory (IRT)-based analysis of 1 1 large datasets supplemented transforming and new scientific knowledge into tangible benefits informed item-level qualitative review of nearly 7000 items for people. from It proposes a vision for a more efficient and available PRO measures in the item library.

  5. 27 de may. de 2022 · The patient-reported outcomes measurement information systems (PROMIS®) physical function and its derivative measures in adults: a systematic review of content validity. Qual Life Res. 2022 Dec;31 (12):3317-3330. doi: 10.1007/s11136-022-03151-w. Epub 2022 May 27. Authors.

  6. 1 de may. de 2020 · When used as computer adaptive tests, PROMIS measures usually require 4 to 6 items for precise measurement of health-related constructs. PROMIS measures provide a common metric: the T-score (mean = 50, standard deviation = 10). In most cases 50 equals the mean in the U.S. general population.

  7. 27 de may. de 2022 · The patient-reported outcomes measurement information systems (PROMIS®) physical function and its derivative measures in adults: a systematic review of content validity. Review. Published: 27 May 2022. Volume 31 , pages 3317–3330, ( 2022 ) Cite this article. Download PDF. V. J. Zonjee, I. L. Abma, M. J. de Mooij, S. M. van Schaik,