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Development of Short Forms From the PROMIS™ Sleep Disturbance and Sleep-Related Impairment Item Banks
Open accessAbstract
This article reports on the development of short forms from the Patient-Reported Outcomes Measurement Information System (PROMIS™) Sleep Disturbance (SD) and Sleep-Related Impairment (SRI) item banks. Results from post-hoc computerized adaptive testing (CAT) simulations, item discrimination parameters, item means, and clinical judgments were used to select the best-performing 8 items for SD and SRI. The final 8-item short forms provided less test information than the corresponding full banks, but correlated strongly with the longer forms. The short forms had greater measurement precision than the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS), as indicated by larger test information values across the continuum of severity, despite having fewer total items--a major advantage for both research and clinical settings.
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“The PROMIS Sleep Disturbance assessment, in particular, reflects a global measure of sleep, rather than focusing on a particular disorder.”
From The association between social media use and sleep disturbance among young adults (2016) · cites this paper as [32]
In the citing paper
“Previous work has described the development and psychometric testing of the PROMIS sleep disturbance measure among individuals age 18 and older. 31;32”
From The association between social media use and sleep disturbance among young adults (2016) · cites this paper as [32]
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“Participants completed three items (e.g., “I had a problem with my sleep” [in the past week]) from the NIH PROMIS Sleep Disturbance Short Form (PROMIS-SD; Yu et al., 2012).”
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“…PROs were: sleep disturbance, measured by Patient-Reported Outcomes Measurement Information System—Sleep Disturbance (PROMIS-SD) Short Forms 8a/8b [19] and PROMIS Pediatric-SD 8a (peds PROMIS-SD 8a) [20]; fatigue, measured by BFI-item [3, 16], FACIT-Fatigue [15], and Pediatric FACIT-Fatigue (peds…”
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“6-week = .95; 𝛼 𝛼 𝛼 𝛼 𝛼 𝛼 For fatigue the four-item PROMIS Fatigue scale, 39 demonstrated good to excellent internal consistency for patients (baseline = .89; 6-month = .88; 12-month = .93) and care-givers (baseline = .90; 6-week = .92; 6-month = .97; 𝛼 6-week = .96; 6-month = .96; 12-month…”
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“First, our initial procedure for selected suitable screener items relied on the MPWI-CAT algorithm, deployed as a standard with PROMIS [8; 24] and used pre - viously to assist with short-form development [21–23].”
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“The Pittsburgh Sleep Quality Index (Buysse et al., 1989) and the Patient-Reported Outcome Measures for Sleep Disturbance and Sleep-Related Impairments short-form scales (Yu et al., 2011) were utilized to collect self-reported sleep data.”
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“Insomnia symptoms were assessed with four items from the Patient-Reported Outcomes Measurement Information System (PROMIS) sleep disturbance measure (Brossoit et al., 2023b; Yu et al., 2012).”
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“…(Stewart and Ware, 1992) and the Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance scale, Adult Short Form 8a (PROMIS-SD) (Yu et al., 2012) were administered pre-COVID and during COVID-19, to assess domains of general health and sleep disturbances, respectively.”
MethodDjajadisastra, F. W., & Batterham, P. J. (2024) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2024.100717 · Cited by 2
Factors Associated With the Cardiovascular Health of Black and Latino Adults With Type 2 Diabetes
McCarthy, M. M., Fletcher, J., Wright, F., Giudice, I. M. D., Wong, A., Aouizerat, B. E., Dickson, V. V., & Melkus, G. D. (2024) · Biological Research For Nursing · doi:10.1177/10998004241238237 · Cited by 1
The protocol for an observational Australian cohort study of CADASIL: The AusCADASIL study
Saks, D., Bajorek, B. V., Catts, V. S., Bentvelzen, A. C., Jiang, J., Wen, W. X., Mather, K. A., Thalamuthu, A., Huang, J., Nivison‐Smith, L., et al. (2024) · Cerebral Circulation - Cognition and Behavior · doi:10.1016/j.cccb.2024.100225 · Cited by 1
“…d) Multidimensional Fatigue Inventory[22] e) Quality of Life Scale (EQ-5D-5L)[23] f) Apathy Evaluation Scale[24] g) PROMIS Sleep Disturbance[25] h) STOP-BANG Questionnaire for Sleep Apnoea[26] i) COVID-19 questionnaire (developed in-house, based on the 45 and Up Study)[27] j) Instrumental…”
MethodDemirdiş, B., & Demirdiş, S. (2024) · International Journal of Social Inquiry · doi:10.37093/ijsi.1460112 · Cited by 1
Rastegar, P. J., Zendels, P. M., & Peterman, A. H. (2024) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-024-02149-z · Cited by 1
“Many aspects of sleep-related impairment may also be more noticeable throughout the day, including daytime sleepiness and problems functioning [49].”
InfluentialMultidimensional Sleep Health in Surrogate Decision-Makers of Critically Ill Patients
Pignatiello, G. A., Griggs, S. A., Hoffer, S. A., & Hickman, R. L. (2024) · American Journal of Critical Care · doi:10.4037/ajcc2024174 · Cited by 1
Krause‐Parello, C. A., Park, J., & Newman, D. (2024) · Pain Management Nursing · doi:10.1016/j.pmn.2024.10.013 · Cited by 3
Siddiqua, A., Parisi, J. M., Manini, T. M., Kaufmann, C. N., & Smail, E. J. (2024) · Prevention Science · doi:10.1007/s11121-024-01760-0 · Cited by 2
“The PROMIS Sleep Disturbance Short Form (Yu et al., 2012) was used to evaluate changes in sleep disturbances during the pandemic.”
Physical Activity, Sleep and Eating in Young People With Borderline Personality Disorder
Remeeus, M. G. A., Silvius, J. A. W., Feenstra, D. J., Luyten, P., Hutsebaut, J., & Scholte, R. H. J. (2025) · Personality and Mental Health · doi:10.1002/pmh.70003 · Cited by 2
“This short form also shows strong validity and reliability (Yu et al. 2012).”
Mont, M. A., Lin, J., Spitzer, A. I., Dasa, V., Rivadeneyra, A., Rogenmoser, D., Concoff, A. L., Ng, M. K., DiGiorgi, M., Dysart, S., et al. (2025) · Arthroplasty Today · doi:10.1016/j.artd.2025.101655 · Cited by 1
“Sleep disturbance was assessed using a Patient-Reported Outcomes Measurement Information System-Sleep Disturbance score [25].”
The Effectiveness of Online Sleep Education Interventions for College Students: A Systematic Review
Flora, S. M., Knowlden, A. P., & Slaven, S. (2025) · American Journal of Health Education · doi:10.1080/19325037.2025.2529798 · Cited by 1
“…morbidity (via General Health Questionnaire 12 [Pevalin, 2000]) [Monk et al., 1994]) ● Feasibility (via enrollment and completion rates) (Yu et al., 2011), fatigue (Lai et al., 2011), anxiety, depression, anger (Pilkonis et al., 2011), emotional support, social isolation, satisfaction…”
Arpin, S. N., Mohr, C. D., Bodner, T., Hammer, L. B., & Lee, J. D. (2025) · Behavioral Sciences · doi:10.3390/bs15091240 · Cited by 2
“Past 30-day sleep disturbance was assessed via the Patient-Reported Outcomes Measurement Information System (PROMIS; Yu et al., 2012); the current analyses were specifically focused on insomnia symptoms and dissatisfaction with sleep.”
McCall, C., & Watson, N. F. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815373-4.00010-1 · Cited by 1
Pre-experimental sleep effects on directed forgetting
Kavanagh, V. A. J., & Hourihan, K. L. (2020) · Consciousness and Cognition · doi:10.1016/j.concog.2020.102898 · Cited by 2
Maulana, H., Azizah, F. H., Yudhaningrum, L., Erik, E., & Tola, B. (2023) · Asia Pacific Journal of Health Management · doi:10.24083/apjhm.v18i1.2061 · Cited by 1
Finkelstein‐Fox, L., Park, C. L., Eigsti, I., Awao, S., & Mancini, A. D. (2023) · Stress and Health · doi:10.1002/smi.3310 · Cited by 1
Risk Taking Behaviour in Young Adults: The Role of Sleep and Associated Psychophysiological States
Rossa, K. R. (2018) · Queensland University of Technology · doi:10.5204/thesis.eprints.118059 · Cited by 1
Nurse Can't Even: The Immediate Impact of Incivility on Affect, Well-being, and Behavior
McMahon, K. (2000) · doi:10.15760/etd.7458 · Cited by 1
“Sleep quality was measured using the PROMIS scale with 8 items on a five-point Likert scale format ranging from 1 (not at all) to 5 (very much) with directions stating, “Please select the answer that best reflects your sleep from last night” (Yu et al., 2011).”
BackgroundMethodInfluentialAndreev, V. P., Helmuth, M. E., Liu, G., Smith, A. R., Merion, R. M., Yang, C. C., Cameron, A. P., Jelovsek, J. E., Amundsen, C. L., Helfand, B. T., et al. (2021) · medRxiv · doi:10.1101/2021.09.17.21263124 · Cited by 1
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O’Neill, A. S. (2022) · PDXScholar (Portland State University) · doi:10.15760/etd.7863 · Cited by 2
Characterization of Acute Low Back Pain in a Community-Based CohortPreprint
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“0 – Sleep Disturbance 4a.(58) To categorize smoking status, we asked participants, “Have you smoked at least 100 cigarettes in your ENTIRE”
BackgroundAdoption, Use, and Effects of Air Purifiers in HouseholdsPreprint
Chowdhury, A., Garg, T., Jagnani, M., & Mattsson, M. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4665018 · Cited by 1
You, D. S., Edwards, K. A., Ziadni, M. S., Kim, S., Klein, M. R., Cox, R., Raney, E., Kuchera, J., & Darnall, B. D. (2025) · doi:10.2196/preprints.86070 · Cited by 1
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The impact of long-term partial sleep deprivation in unipara mothers
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Role overload and health behaviors: Demonstrating adaptation longitudinally
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FIM–Minimum Data Set Motor Item Bank: Short Forms Development and Precision Comparison in Veterans
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Grover, C., Mackasey, E., Cook, E., Tremblay, L., & Loiselle, C. G. (2018) · Canadian Oncology Nursing Journal · doi:10.5737/23688076283172177
Metadata
- Authors
- Yu, L., Buysse, D. J., Germain, A., Moul, D. E., Stover, A., Dodds, N. E., Johnston, K. L., & Pilkonis, P. A.
- Affiliations
- University of Pittsburgh (US)
- Cleveland Clinic (US)
- ORCID
- Venue
- Behavioral Sleep Medicine
- Publisher
- Informa UK Limited
- Published
- 2012-01
- Volume
- 10
- Issue
- 1
- Pages
- 6-24
- ISSN
- 1540-2002 (ISSN-L)
- 1540-2010
- PMC
- PMC3261577
- OpenAlex
- W2053601856
- Cited by
- 1,241
- References
- 21
- Citations by year
- 2026: 140 · 2025: 183 · 2024: 164 · 2023: 148 · 2022: 156 · 2021: 131 · 2020: 94 · 2019: 66 · 2018: 48 · 2017: 38 · 2016: 30 · 2015: 23 · 2014: 12 · 2013: 5 · 2012: 1
- FWCI
- 17.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Behavioral Sleep Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (U01AR052171, U01AR52186, U01 AR 52177, U01AR52181, U01AR52155, U01AR052186, U01AR52171, U01AR052170, U01AR052158, U01AR52170, U01AR052155, U01AR052177, U01AR52158, U01AR052181)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- PROMIS, sleep disorders, sleep-related impairment, short form, item bank, computerized adaptive testing, test information function, item discrimination, patient-reported outcomes, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, measurement precision
- MeSH terms
- Aged, Computer Simulation, Female, Humans, Male, Middle Aged, Psychometrics, Surveys and Questionnaires, Sleep Wake Disorders, Reproducibility of Results
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