The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Bringing PROMIS to practice: Brief and precise symptom screening in ambulatory cancer care
Open accessAbstract
BACKGROUND: Supportive oncology practice can be enhanced by the integration of a brief and validated electronic patient‐reported outcome assessment into the electronic health record (EHR) and clinical workflow. METHODS: Six hundred thirty‐six women receiving gynecologic oncology outpatient care received instructions to complete clinical assessments through Epic MyChart, an EHR patient communication portal. Patient Reported Outcomes Measurement Information System (PROMIS) computer adaptive tests (CATs) were administered to assess fatigue, pain interference, physical function, depression, and anxiety. Checklists identified psychosocial concerns, informational and nutritional needs, and risk factors for inadequate nutrition. Assessment results, including PROMIS T scores with documented severity thresholds, were immediately populated in the EHR. Clinicians were notified of clinically elevated symptoms through EHR messages. EHR integration was designed to provide automated triage to social work providers for psychosocial concerns, to health educators for information, and to dietitians for nutrition‐related concerns. RESULTS: Four thousand forty‐two MyChart messages sent, and 3203 (79%) were reviewed by patients. The assessment was started by 1493 patients (37%), and once they started, 93% (1386 patients) completed the assessment. According to first assessments only, 49.8% of the patients who reviewed the MyChart message completed the assessment. Mean PROMIS CAT T scores indicated a lower level of physical function and elevated anxiety in comparison with the general population. Fatigue, pain, and depression scores were comparable to those of the general population. Impaired physical functioning was the most common basis for clinical alerts and occurred in 4% of the patients. CONCLUSIONS: PROMIS CATs were used to measure common cancer symptoms in routine oncology outpatient care. Immediate EHR integration facilitated the use of symptom reporting as the basis for referral to psychosocial and supportive care. Cancer 2015;121:927–934. © 2014 American Cancer Society.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“PROMIS measures were initially developed with cancer patients’ input [32], and a growing body of research has documented the measures’ reliability and validity for use with cancer patients, including those with advanced disease [33–35].”
From Symptom experiences in metastatic breast cancer patients: relationships to activity engagement, value-based living, and psychological inflexibility (2017) · cites this paper as [34]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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-citationPilkonis, P. A., Choi, S. W., Reise, S. P., Stover, A. M., Riley, W. T., Cella, D., & PROMIS Cooperative Group (2011) · Assessment · doi:10.1177/1073191111411667 · Cited by 2,132
Self-citationBauer, J., Capra, S., & Ferguson, M. (2002) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601412 · Cited by 1,178 · cited 2×
“The nutritional assessment included new items and items adapted from the Patient-Generated Subjective Global Assessment 28 that assessed significant weight loss within the last 2 weeks and concerns about weight loss or weight gain as well as a checklist of symptoms interfering with maintaining nutrition that was devel…”
MethodDelivering High-Quality Cancer Care: Charting a New Course for a System in Crisis
Levit, L. A., Balogh, E. P., Nass, S. J., & Ganz, P. A. (2014) · Cited by 956
(1997) · PubMed · Cited by 762
Self-citationBasch, E., Iasonos, A., McDonough, T., Barz, A., Culkin, A., Kris, M. G., Scher, H. I., & Schrag, D. (2006) · The Lancet Oncology · doi:10.1016/s1470-2045(06)70910-x · Cited by 653
Symptom prevalence, characteristics and distress in a cancer population
Portenoy, R. K., Thaler, H. T., Kornblith, A. B., Lepore, J. M., Friedlander-Klar, H., Coyle, N., Smart-Curley, T., Kemeny, N. E., Norton, L., Hoskins, W. J., et al. (1994) · Quality of Life Research · doi:10.1007/bf00435383 · Cited by 649
The Missing Voice of Patients in Drug-Safety Reporting
Basch, E. (2010) · New England Journal of Medicine · doi:10.1056/nejmp0911494 · Cited by 646
Cella, D. F., Gershon, R. C., Lai, J., & Choi, S. W. (2007) · Quality of Life Research · doi:10.1007/s11136-007-9204-6 · Cited by 622
Self-citationFromme, 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
Research works printed but not linked: 1
- Cella D, 2008, A novel IRT‐based case‐ranking approach to derive expert standards for symptom severity, Qual Life Res, 17, A32
Cited by
Sorted by citations
Integration of oncology and palliative care: a Lancet Oncology Commission
Kaasa, S., Loge, J. H., Aapro, M., Albreht, T., Anderson, R., Bruera, E. D., Brunelli, C., Caraceni, A. T., Cervantes, A. M. R., Currow, D. C., et al. (2018) · The Lancet Oncology · doi:10.1016/s1470-2045(18)30415-7 · Cited by 879
The Edmonton Symptom Assessment System 25 years later: past, present, and future developments
Hui, D., & Bruera, E. (2017) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2016.10.370 · Cited by 795
Integrating palliative care into the trajectory of cancer care
Hui, D., & Bruera, E. D. (2015) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2015.201 · Cited by 425
Yang, L. Y., Manhas, D. S., Howard, A. F., & Olson, R. A. (2017) · Supportive Care in Cancer · doi:10.1007/s00520-017-3865-7 · Cited by 270
The increasing value of eHealth in the delivery of patient-centred cancer care
Penedo, F. J., Oswald, L. B., Kronenfeld, J. P., Garcia, S. F., Cella, D., & Yanez, B. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(20)30021-8 · Cited by 252
Self-citation
Metadata
- Authors
- Wagner, L. I., Schink, J., Bass, M., Patel, S., Diaz, M. V., Rothrock, N., Pearman, T., Gershon, R., Penedo, F. J., Rosen, S., & Cella, D.
- Affiliations
- Northwestern University (US)
- Spectrum Health (US)
- City Of Hope National Medical Center (US)
- Corresponding author
- Wagner, Lynne I.
- ORCID
- Venue
- Cancer
- Publisher
- Wiley
- Published
- 2014-11-06
- Volume
- 121
- Issue
- 6
- Pages
- 927-934
- ISSN
- 0008-543X (ISSN-L)
- 1097-0142
- PMC
- PMC4352124
- OpenAlex
- W1597614727
- Cited by
- 233
- References
- 30
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 20 · 2023: 18 · 2022: 23 · 2021: 27 · 2020: 25 · 2019: 23 · 2018: 24 · 2017: 21 · 2016: 19 · 2015: 10
- FWCI
- 8.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cancer (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R01 CA60068)
- Coleman Foundation
- National Institutes of Health (U5 AR057951)
- William W. Wirtz Cancer Innovation Fund
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- PROMIS, computerized adaptive testing, patient-reported outcomes, electronic health record integration, symptom screening, gynecologic oncology, fatigue, pain interference, physical function, depression, anxiety, nutritional risk, cancer supportive care
- MeSH terms
- Adult, Aged, Aged, 80 and over, Ambulatory Care, Female, Genital Neoplasms, Female, Humans, Middle Aged, Palliative Care, Surveys and Questionnaires, Treatment Outcome, Young Adult, Electronic Health Records, Self Report
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review