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The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008
Open accessAbstract
Objectives Patient-reported outcomes (PROs) are essential when evaluating many new treatments in health care; yet, current measures have been limited by a lack of precision, standardization, and comparability of scores across studies and diseases. The Patient-Reported Outcomes Measurement Information System (PROMIS) provides item banks that offer the potential for efficient (minimizes item number without compromising reliability), flexible (enables optional use of interchangeable items), and precise (has minimal error in estimate) measurement of commonly studied PROs. We report results from the first large-scale testing of PROMIS items.Study design and setting Fourteen item pools were tested in the U.S. general population and clinical groups using an online panel and clinic recruitment. A scale-setting subsample was created reflecting demographics proportional to the 2000 U.S. census.Results Using item-response theory (graded response model), 11 item banks were calibrated on a sample of 21,133, measuring components of self-reported physical, mental, and social health, along with a 10-item Global Health Scale. Short forms from each bank were developed and compared with the overall bank and with other well-validated and widely accepted ("legacy") measures. All item banks demonstrated good reliability across most of the score distributions. Construct validity was supported by moderate to strong correlations with legacy measures.Conclusion PROMIS item banks and their short forms provide evidence that they are reliable and precise measures of generic symptoms and functional reports comparable to legacy instruments. Further testing will continue to validate and test PROMIS items and banks in diverse clinical populations.
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“Anxiety, pain, and depression were assessed using the Patient Reported Outcomes Measurement Information System (PROMIS), Anxiety Short Form 8a (PROMIS-ASF), Pain Interference Short Form (PROMIS-PISF), and Depression Short Form 8a (PROMIS-DSF) 36.”
From Effects of a trauma-informed mindful recovery program on comorbid pain, anxiety, and substance use during primary care buprenorphine treatment: A proof-of-concept study (2023) · cites this paper as [36]
Experimental — accuracy not yet measuredThe 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 has excellent psychometric properties superior to many other measures available to assess emotional functioning [61].”
From Online parent-targeted cognitive-behavioural therapy intervention to improve quality of life in families of young cancer survivors: study protocol for a randomised controlled trial. (2015) · cites this paper as [61]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Scales with four, six, and eight items (short forms) were developed from item banks using item response theory and validated in general and chronic illness populations [28, 29].”
From Feasibility and Acceptability of an Abbreviated, Four-Week Mindfulness Program for Chronic Pain Management. (2020) · cites this paper as [28]
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“These measures have undergone rigorous reliability and validity testing [29–31].”
From Symptom experiences in metastatic breast cancer patients: relationships to activity engagement, value-based living, and psychological inflexibility (2017) · cites this paper as [30]
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“These NIH-funded measures have undergone rigorous psychometric testing [21], and evidence supports their reliability and validity in cancer survivors [19, 22].”
From Symptom experiences in post-treatment cancer survivors: associations with acceptance and commitment therapy constructs. (2021) · cites this paper as [21]
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“After considering several potential instruments for assessing these domains, the RTF concluded that the short-form PROMIS measures1 offered the best trade-off of length with psychometric validity for a minimal dataset.”
From Report of the NIH Task Force on research standards for chronic low back pain. (2014) · cites this paper as [22]
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“Construct validity has been demonstrated with moderate to strong correlations with other well-validated measures. 61”
From Mindfulness and Psychosocial Symptoms in People with Cancer: Testing Rumination and Experiential Avoidance as Mediators, and Sex as a Moderator. (2025) · cites this paper as [61]
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“Personalizing the second line treatment choice through machine learning identified a small group of individuals (around 8%) who would fare better if continued unchanged on their initial treatment. 599”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [599]
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“Machine learning techniques using big datasets offer a promising approach to developing personalized treatments of depression and prediction models for treatment outcomes. 599”
From Time for united action on depression: a Lancet–World Psychiatric Association Commission (2022) · cites this paper as [599]
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“Sleep disturbance (ie, sleep quality) was measured using the Patient-Reported Outcomes Measurement Information System (PROMIS) (α=0.97 in our sample) [62].”
From Efficacy of the Mindfulness Meditation Mobile App “Calm” to Reduce Stress Among College Students: Randomized Controlled Trial (2019) · cites this paper as [62]
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Schneider, S., Choi, S. W., Junghaenel, D. U., Schwartz, J. E., & Stone, A. A. (2013) · Quality of Life Research · doi:10.1007/s11136-012-0323-3 · Cited by 35
Self-citationChang, L., Ryan, M. C., Liang, H., Zhang, X., Cunningham, E. P., Wang, J. L., Wilson, E. M. P., Herskovits, E. H., Kottilil, S., & Ernst, T. (2023) · Neurology · doi:10.1212/wnl.0000000000207309 · Cited by 34
“The PROMIS measures were selected from 4 domains to assess symptoms related to depression, anxiety, fatigue, and pain, which derived scores for Global Physical Health and Global Mental Health.22 Findings regarding these measures were reported previously in a larger cohort,23 but the current subsets of the participants…”
MethodAmtmann, D., Bamer, A. M., Johnson, K. L., Ehde, D. M., Beier, M. L., Elzea, J. L., & Bombardier, C. H. (2015) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2015.08.007 · Cited by 32
Self-citationLongitudinal Assessment of Pain Outcomes in the Clinical Setting
Hassett, A. L., Wasserman, R. A., Goesling, J., Rakovitis, K., Shi, B., & Brummett, C. M. (2012) · Regional Anesthesia & Pain Medicine · doi:10.1097/aap.0b013e3182524672 · Cited by 32
Agitation, Delirium, and Cognitive Outcomes in Intracerebral Hemorrhage
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Self-citationLiegl, G., Rose, M., Correia, H., Fischer, F. H., Kanlidere, S., Mierke, A., Obbarius, A., & Nolte, S. (2017) · Clinical Rehabilitation · doi:10.1177/0269215517714297 · Cited by 32
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Implementation of a Stress Intervention with Latino Immigrants in a Non-traditional Migration City
Jacquez, F., Vaughn, L. M., & Suarez-Cano, G. (2018) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-018-0732-7 · Cited by 35
Carlozzi, N. E., Kallen, M. A., Ianni, P. A., Hahn, E. A., French, L. M., Lange, R. T., Brickell, T. A., Hanks, R. A., & Sander, A. M. (2018) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2018.05.033 · Cited by 32
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The NIH Minimal Dataset for Chronic Low Back Pain
Dutmer, A. L., Reneman, M. F., Preuper, H. R. S., Wolff, A. P., Speijer, B. L. G. N., & Soer, R. (2019) · Spine · doi:10.1097/brs.0000000000003107 · Cited by 33
Plessow, F., Pascual‐Leone, Á., McCracken, C. M., Baker, J. S., Krishnan, S., Baggish, A. L., Connor, A., Courtney, T. K., Nadler, L. M., Speizer, F. E., et al. (2019) · Journal of Neurotrauma · doi:10.1089/neu.2019.6661 · Cited by 34
Mann, C. M., Schanberg, L. E., Wang, M., von Scheven, E., Lucas, N. R., Hernandez, A., Ringold, S., & Reeve, B. B. (2020) · Quality of Life Research · doi:10.1007/s11136-020-02513-6 · Cited by 35
Self-citationPsychometric Analysis and Validation of the Italian Bergen Facebook Addiction Scale
Soraci, P., Ferrari, A., Barberis, N., Luvarà, G., Urso, A., Del Fante, E., & Griffiths, M. D. (2023) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00346-5 · Cited by 32
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Pope, J. E., Fishman, M. A., Chakravarthy, K. V., Hanes, M. C., Gerling, M. C., Heros, R. D., Falowski, S. M., Shah, J., Orhurhu, V., Urits, I., et al. (2021) · Pain and Therapy · doi:10.1007/s40122-021-00238-z · Cited by 34
Alonso, W., Kupzyk, K. A., NORMAN, J. F., Lundgren, S. W., Fisher, A. L., Lindsey, M. L., Keteyian, S. J., & Pozehl, B. (2021) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2021.09.003 · Cited by 35
School support, chaos, routines, and parents’ mental health during COVID-19 remote schooling.
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Minimum Clinically Important Difference
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Elevated body temperature is associated with depressive symptoms: results from the TemPredict Study
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“…for PROMIS depression T-scores, with separate models for mild (T-score 55–59.99) vs. WNL (T-score below 55); moderate (T-score 60–69.99) vs. WNL; and severe (T-score 70 or greater) vs. WNL, as the outcome variable, and self-reported body temperature as the predictor, scaled per 0.1 °C 63 .”
InfluentialSocial connectedness, mindfulness, and coping as protective factors during the COVID‐19 pandemic
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Langzeitfolgen von Schlaganfällen
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Measuring Fatigue and Fatigability in Spinal Muscular Atrophy (SMA): Challenges and Opportunities
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Prenatal Exposure to Nonpersistent Environmental Chemicals and Postpartum Depression
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Self-citationAcademic Physician and Trainee Occupational Well-Being by Sexual and Gender Minority Status
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Is Social Support Associated With Upper Extremity Disability?
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Metadata
- Authors
- Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., Amtmann, D., Bode, R., Buysse, D., Choi, S., Cook, K., DeVellis, R., DeWalt, D., Fries, J. F., Gershon, R., Hahn, E. A., Lai, J.-S., Pilkonis, P., Revicki, D., Rose, M., Weinfurt, K., & Hays, R.
- Affiliations
- Northwestern University (US)
- National Heart, Lung, and Blood Institute (US)
- Stony Brook University (US)
- National Institutes of Health (US)
- University of Washington (US)
- University of Pittsburgh (US)
- University of North Carolina at Chapel Hill (US)
- Stanford Medicine (US)
- Universität Hamburg (DE)
- Duke University (US)
- University of California, Los Angeles (US)
- ORCID
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 63
- Issue
- 11
- Pages
- 1179-1194
- ISSN
- 0895-4356 (ISSN-L)
- PMC
- PMC2965562
- OpenAlex
- W2162420979
- Cited by
- 5,128
- References
- 44
- Citations by year
- 2026: 455 · 2025: 526 · 2024: 536 · 2023: 490 · 2022: 516 · 2021: 515 · 2020: 492 · 2019: 368 · 2018: 302 · 2017: 224 · 2016: 190 · 2015: 161 · 2014: 131 · 2013: 107 · 2012: 53
- FWCI
- 92.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Clinical Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- Northwestern University
- University of Washington (U01AR52170, U01AR52155, U01AR52171, U01AR52158)
- University of Pittsburgh (U01AR52155, U01AR52158, U01AR52170, U01AR52171)
- Stony Brook University (U01AR52170)
- National Institutes of Health
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (U01AR052171, U01AR52186, U01AR52181, U01AR52155, U02AR52177, U01AR052186, U01AR52171, U01AR052170, U01AR052158, U01AR52170, U01AR052155, U01AR052177, U01AR52158, U01AR052181)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Keywords
- PROMIS, patient-reported outcomes, item bank, item response theory, graded response model, scale calibration, short form, construct validity, reliability statistics, global health, physical health, mental health, social health, functional status
- MeSH terms
- Adult, Female, Health Status, Health Surveys, Humans, Information Systems, Male, Quality of Life, Surveys and Questionnaires, Self Disclosure, United States, Patient Satisfaction, Outcome Assessment, Health Care
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