The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Patient-Reported Outcomes Measurement Information System (PROMIS): Efficient, standardized tools to measure self-reported health and quality of life
Open accessAbstract
All nurses are interested in the effects of diseases and treatments on individuals. Patient reported outcome (PRO) measures are used to obtain self-reported information about symptoms, function, perceptions, and experiences. However, there are challenges to their use, including multiple measures of the same concept, widely varying quality, excessive length and complexity, and difficulty comparing findings across studies and conditions. To address these challenges, the National Institutes of Health funded the Patient-Reported Outcomes Measurement Information System (PROMIS®), a web-based repository of valid and reliable PRO measures of health concepts relevant to clinician and researchers. Through the PROMIS Assessment Center, clinicians and researchers can access PRO measures, administer computerized adaptive tests, collect self-report data, and report instant health assessments. The purpose of this paper is to summarize the development and validation of the PROMIS measures and to describe its current functionality as it relates to nursing science.
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Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., Amtmann, D., Bode, R., Buysse, D., Choi, S., et al. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.04.011 · Cited by 5,128
Self-citationCella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., Ader, D., Fries, J. F., Bruce, B., & Rose, M. (2007) · Medical Care · doi:10.1097/01.mlr.0000258615.42478.55 · Cited by 3,118
Self-citationU.S. Department of Health and Human Services FDA Center for Drug Evaluation and Research, U.S. Department of Health and Human Services FDA Center for Biologics Evaluation and Research, & U.S. Department of Health and Human Services FDA Center for Devices and Radiological Health (2006) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-4-79 · Cited by 2,856
Detmar, S. B., Muller, M. J., Schornagel, J. H., Wever, L. D. V., & Aaronson, N. K. (2002) · JAMA · doi:10.1001/jama.288.23.3027 · Cited by 1,011
Evaluation of Item Candidates: The PROMIS Qualitative Item Review
DeWalt, D. A., Rothrock, N., Yount, S., & Stone, A. A. (2007) · Medical Care · doi:10.1097/01.mlr.0000254567.79743.e2 · Cited by 719
Fromme, E. K., Eilers, K. M., Mori, M., Hsieh, Y.-C., & Beer, T. M. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.03.025 · Cited by 555
Choi, S. W., Schalet, B., Cook, K. F., & Cella, D. (2014) · Psychological Assessment · doi:10.1037/a0035768 · Cited by 480
Self-citationContent validity of patient-reported outcome measures: perspectives from a PROMIS meeting
Magasi, S., Ryan, G., Revicki, D., Lenderking, W., Hays, R. D., Brod, M., Snyder, C., Boers, M., & Cella, D. (2012) · Quality of Life Research · doi:10.1007/s11136-011-9990-8 · Cited by 187
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Harbeck, N., Penault-Llorca, F., Cortes, J., Gnant, M., Houssami, N., Poortmans, P., Ruddy, K., Tsang, J., & Cardoso, F. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0111-2 · Cited by 3,024
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Metadata
- Authors
- Bevans, M., Ross, A., & Cella, D.
- Venue
- Nursing Outlook
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 62
- Issue
- 5
- Pages
- 339-345
- ISSN
- 0029-6554 (ISSN-L)
- OpenAlex
- W2037272442
- Cited by
- 238
- References
- 8
- FWCI
- 12.73
- Type
- journal article
- Language
- en
- Open access
- green
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- Bevans, M., Ross, A., & Cella, D. (2014). Patient-Reported Outcomes Measurement Information System (PROMIS): Efficient, standardized tools to measure self-reported health and quality of life. Nursing Outlook. https://doi.org/10.1016/j.outlook.2014.05.009
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
