Cited by 1,241Sleep and related disordersPsychometric Methodologies and TestingAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

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Development of Short Forms From the PROMIS™ Sleep Disturbance and Sleep-Related Impairment Item Banks

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Yu, Lan, Buysse, Daniel J., Germain, Anne, Moul, Douglas E., Stover, Angela, Dodds, Nathan E., Johnston, Kelly L., Pilkonis, Paul A.·2012·Behavioral Sleep Medicine

DOI 10.1080/15402002.2012.636266PMC PMC3261577

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Abstract

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 Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234 · cited 2×
“Sleep quality and sleep dissatisfaction appear to exist on a continuum of severity, with good sleep represented at one end and insomnia at the other ( Buysse et al, 1989 ; Ohayon & Paiva, 2005 ; Ohayon & Partinen, 2002 ; Ohayon & Smirne, 2002 ).”
BackgroundSelf-citation
A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale
Johns, M. W. (1991) · Sleep · doi:10.1093/sleep/14.6.540 · Cited by 17,364 · cited 1×
“…the Pittsburgh Sleep Quality Index (PSQI; Buysse, Reynolds, Monk, Berman, & Kupfer, 1989) is the most widely used scale for sleep disturbance, and the Epworth Sleepiness Scale (ESS; Johns, 1991, 1992) is the most widely used measure of daytime sleepiness, each with over 500 literature citations.”
Method
Reviews: Lord, Frederic M., and Novick, Melvin R. (with contributions by Allan Birnbaum). Statistical Theories of Mental Test Scores. Reading, Mass.: Addison-Wesley, 1968. xii + 568 pp. $14.95.
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,012
Applications of Item Response Theory To Practical Testing Problems
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“The term calibration has various meanings under different contexts ( Angoff, 1971 ; Kolen & Brennan, 2004 ; Linn, 1993 ; Lord, 1980 ; Thissen & Wainer, 2001).”
Background
Untitled work
(2000) · Cited by 4,106
ESTIMATION OF LATENT ABILITY USING A RESPONSE PATTERN OF GRADED SCORES1
Samejima, F. (1968) · ETS Research Bulletin Series · doi:10.1002/j.2333-8504.1968.tb00153.x · Cited by 2,670 · cited 1×
“Using the final item parameters for the SD and SRI banks, the PSQI and ESS were calibrated using the Graded Response Model (GRM; Samejima, 1969), with parameters from SD and SRI fixed.”
Method
Reliability and factor analysis of the Epworth Sleepiness Scale.
Johns, M. (1992) · Sleep · doi:10.1093/sleep/15.4.376 · Cited by 2,193 · cited 1×
“…the Pittsburgh Sleep Quality Index (PSQI; Buysse, Reynolds, Monk, Berman, & Kupfer, 1989) is the most widely used scale for sleep disturbance, and the Epworth Sleepiness Scale (ESS; Johns, 1991, 1992) is the most widely used measure of daytime sleepiness, each with over 500 literature citations.”
Method
Theory of Mental Tests
Gulliksen, H. O. (1950) · John Wiley & Sons, Inc. eBooks · doi:10.1037/13240-000 · Cited by 2,184
Psychometric Evaluation and Calibration of Health-Related Quality of Life Item Banks
Reeve, B. B., Hays, R. D., Bjørner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., Thissen, D., Revicki, D. A., Weiss, D. J., Hambleton, R. K., et al. (2007) · Medical Care · doi:10.1097/01.mlr.0000250483.85507.04 · Cited by 1,491 · cited 2×
“A more detailed description of the specific PROMIS analytic framework is available elsewhere (see Reeve et al., 2007).”
BackgroundMethod
Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments
Buysse, D. J., Yu, L., Moul, D. E., Germain, A., Stover, A., Dodds, N. E., Johnston, K. L., Shablesky-Cade, M. A., & Pilkonis, P. A. (2010) · Sleep · doi:10.1093/sleep/33.6.781 · Cited by 850 · cited 3×
“For a detailed description of this pooled sample, see Buysse et al. (2010).”
BackgroundMethodSelf-citation

Show all 21 references

Research works printed but not linked: 6

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Background
Health of Philippine Emigrants Study (HoPES): study design and rationale
Gee, G. C., de Castro, A. B., Crespi, C. M., Wang, M. C., Llave, K., Brindle, E., Lee, N. R., Kabamalan, M. M. M., & Hing, A. K. (2018) · BMC Public Health · doi:10.1186/s12889-018-5670-8 · Cited by 12
Associations Between Dietary Patterns and Sleep-Related Impairment in a Cohort of Community Physicians: A Cross-sectional Study
Makowski, M. S., Shanafelt, T. D., Hausel, A., Bohman, B. D., Roberts, R., & Trockel, M. (2019) · American Journal of Lifestyle Medicine · doi:10.1177/1559827619871923 · Cited by 12
“The answers are based on a 5-point Likert scale with responses ranging from “Not at all” to “Very much” and the raw scores ranging from 8 to 40.(5) The NIH PROMIS guidelines can be used to identify T-scores that correspond with raw scores for each scale.”
Method
Race-related differences in acute pain complaints among inner-city women: the role of socioeconomic status
Lillis, T. A., Burns, J. W., Aranda, F., Burgess, H. J., Purim-Shem-Tov, Y. A., Bruehl, S. P., Beckham, J. C., Pinkerton, L. M., & Hobfoll, S. E. (2019) · Journal of Behavioral Medicine · doi:10.1007/s10865-019-00123-3 · Cited by 12
“Self-reported sleep duration and sleep quality were measured with two items from the PROMIS Sleep Disturbance Short-Form (Yu et al., 2011).”
Method
PROMIS® and Neuro-QoLTM measures are valid measures of health-related quality of life among patients with familial chylomicronemia syndrome
Fox, R. S., Peipert, J. D., Vera‐Llonch, M., Phillips, G. A., & Cella, D. F. (2020) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2020.1748011 · Cited by 12
The Development of a Brief Version of the Insomnia Severity Index (ISI-3) in Older Adult Veterans with Posttraumatic Stress Disorder
Wells, S. Y., Dietch, J. R., Edner, B. J., Glassman, L. H., Thorp, S. R., Morland, L. A., & Aarons, G. A. (2020) · Behavioral Sleep Medicine · doi:10.1080/15402002.2020.1760278 · Cited by 12
“The PROMIS Sleep Disturbance-short form (Yu et al., 2011) is another similar assessment; PROMIS measures a broader collection of sleep complaints than the ISI but is also longer than the original version.”
Method
Landscape of biomedical informatics standards and terminologies for clinical sleep medicine research: A systematic review
Mazzotti, D. R. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2021.101529 · Cited by 12
Relationship Between Attitudes and Beliefs About Sleep, Sleep Disturbance, and Pain Interference in Patients With Spinal Pain
Neilson, B. D., Shepherd, M. H., Dickerson, C., Chaconas, E. J., Young, J. L., & Rhon, D. I. (2022) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000001051 · Cited by 12
Reducing Emotional Distress for Childhood Hypoglycemia in Parents (REDCHiP): Protocol for a Randomized Clinical Trial to Test a Video-Based Telehealth Intervention
Patton, S. R., McConville, A., Marker, A. M., Monzon, A. D., Driscoll, K. A., & Clements, M. A. (2020) · JMIR Research Protocols · doi:10.2196/17877 · Cited by 10
Hyperbaric Oxygen Therapy for Pain, Opioid Withdrawal, and Related Symptoms: A Pilot Randomized Controlled Trial
Wilson, M., Bindler, R. J., Stanek, K., Layton, M. E., & Quock, R. M. (2022) · Pain Management Nursing · doi:10.1016/j.pmn.2022.03.001 · Cited by 11
HOMBRE: A Trial Comparing 2 Weight Loss Approaches for Latino Men
Rosas, L. G., Lv, N., Xiao, L., Venditti, E. M., Lewis, M. A., Azar, K. M. J., Hooker, S. P., Ζavella, P., & Ma, J. (2022) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2022.03.032 · Cited by 12
Patients with IBD Want to Talk About Sleep and Treatments for Insomnia with Their Gastroenterologist
Salwen‐Deremer, J. K., Godzik, C. M., Jagielski, C. H., Siegel, C. A., & Smith, M. T. (2023) · Digestive Diseases and Sciences · doi:10.1007/s10620-023-07883-8 · Cited by 12
Multidimensionality of the PROMIS sleep disturbance 8b short form in working adult populations
Brossoit, R. M., Stark, H. P., Crain, T. L., Bodner, T., Hammer, L. B., Mohr, C. D., & Shea, S. A. (2023) · Sleep Health · doi:10.1016/j.sleh.2023.08.001 · Cited by 11
Feasibility of a novel wearable thermal device for management of bothersome hot flashes in patients with prostate cancer
Peeke, P. M., Billes, S., Vetter, A., Naghavi, N., Le, D., Smith, M. J., & Morgans, A. K. (2023) · Prostate Cancer and Prostatic Diseases · doi:10.1038/s41391-023-00771-2 · Cited by 11
“0, 2016) [19, 20], and the Epworth Sleepiness Scale (ESS) [21].”
Background
Low-dose exogenous melatonin plus evening dim light and time in bed scheduling advances circadian phase irrespective of measured or estimated dim light melatonin onset time: preliminary findings
Swanson, L. M., de Sibour, T., Dubuc, K., Conroy, D. A., Raglan, G. B., Lorang, K., Zollars, J. W., Hershner, S. D., Arnedt, J. T., & Burgess, H. J. (2024) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.11076 · Cited by 11
Twelve-month results for a randomized sham-controlled effectiveness trial of an in-home skills-based virtual reality program for chronic low back pain
Maddox, T., Oldstone, L., Sackman, J., Maddox, R., Adair, T., Ffrench, K., Sparks, C. Y., & Darnall, B. D. (2024) · PAIN Reports · doi:10.1097/pr9.0000000000001182 · Cited by 11
Immersion in nature decreases neural sensitivity to extrinsic reward
McDonnell, A. S., LoTemplio, S. B., Scott, E. E., McNay, G. D., Greenberg, K., Castro, S. C., & Strayer, D. L. (2025) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2025.102546 · Cited by 11
Comparison of Nutrigenomics Technology Interface Tools for Consumers and Health Professionals: A Sequential Explanatory Mixed Methods Investigation
Almeida, V. A., Littlejohn, P. T., Cop, I., Brown, E., Afroze, R., & Davison, K. (2019) · Journal of Medical Internet Research · doi:10.2196/12580 · Cited by 11
“A composite measure of sedentary activities was based on total screen time in the previous 7 days [38].”
Subjective cognitive decline in diabetes: Associations with psychological, sleep, and diabetes‐related factors
Kim, M. J., Park, C., Zhu, B., & Fritschi, C. (2020) · Journal of Advanced Nursing · doi:10.1111/jan.14624 · Cited by 11
Development and psychometric properties of surveys to assess patient and family caregiver experience with care transitions
Sorra, J., Zebrak, K. A., Carpenter, D., Famolaro, T., Rauch, J., Li, J., Davis, T. C., Nguyen, H. Q., McIntosh, M., Mitchell, S. E., et al. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-06766-w · Cited by 11
Examining the Moderator Role of Sleep Quality in the Relationship Among Test Anxiety, Academic Success and Mood
Adams, S. K., Mushkat, Z., & Minkel, J. (2021) · Psychological Reports · doi:10.1177/00332941211025268 · Cited by 11
“Results of measure development showed a strong correlation between the short form and long form measures of sleep-related impairment (Yu et al., 2012).”
BackgroundMethod
A 2.5-Year Weight Management Program Using Noom Health: Protocol for a Randomized Controlled Trial
Sysko, R., Bibeau, J., Boyar, A., Costello, K., Michaelides, A. P., Mitchell, E. S., Susanin, A., & Hildebrandt, T. (2022) · JMIR Research Protocols · doi:10.2196/37541 · Cited by 13
Assessing sleep and pain among adults with myalgic encephalomyelitis/chronic fatigue syndrome: psychometric evaluation of the PROMIS® sleep and pain short forms
Yang, M., Keller, S., & Lin, J.-M. S. (2022) · Quality of Life Research · doi:10.1007/s11136-022-03199-8 · Cited by 11
“0 sleep measures: the Sleep Disturbance Short Form 8b (SD-SF) and the Sleep-Related Impairment Short Form 8a (SRI-SF), both with eight items [53].”
Method
Promoting Professional Fulfillment for Advanced Practice Providers
Nandwani, M. C. R., Blacker, A., Shanafelt, T. D., Harshman, J., & Kuriakose, C. (2022) · NEJM Catalyst · doi:10.1056/cat.22.0183 · Cited by 11
DAYLIGHT, HUMAN HEALTH, AND DESIGN FOR SUSTAINABLE GREEN BUILDINGS: A SYSTEMATIC REVIEW
Lee, J., Boubekri, M., & Park, J. (2022) · Journal of Green Building · doi:10.3992/jgb.17.4.151 · Cited by 12
The Mediating Role of Sleep Disturbance on the Association Between Stress and Self-Rated Health Among Chinese and Korean Immigrant Americans
Morey, B. N., Ryu, S., Shi, Y. V., & Lee, S. (2023) · Preventing Chronic Disease · doi:10.5888/pcd20.220241 · Cited by 11
“We measured distress by using a distress “thermometer” numbered from 0 at the bottom (“no distress”) to 10 at the top (“extreme distress”) (22).”
Observational prospective study of social media, smartphone use and self-harm in a clinical sample of young people: study protocol
Bye, A., Carter, B., Leightley, D., Trevillion, K., Liakata, M., Branthonne‐Foster, S., Williamson, G., Zenasni, Z., & Dutta, R. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-069748 · Cited by 13
PROMIS: Physical, Mental and Social Health Outcomes Improve From Before to Early After LVAD Implant: Findings From the Mechanical Circulatory Support: Measures of Adjustment and Quality of Life (MCS A-QOL) Study
Hahn, E. A., Allen, L. A., Lee, C. S., Denfeld, Q. E., Stehlik, J., Cella, D. F., Lindenfeld, J. M., Teuteberg, J. J., McIlvennan, C. K., Kiernan, M. S., et al. (2023) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2023.03.013 · Cited by 12
Impact of COVID-related Discrimination on Psychological Distress and Sleep Disturbances across Race-Ethnicity
Strassle, P. D., Wilkerson, M. J., Stewart, A. L., Forde, A. T., Jackson, C. L., Singh, R., & Nápoles, A. M. (2023) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-023-01614-5 · Cited by 11
“0 Sleep Disturbance 4a) [24], which asks participants about their sleep quality and frequency of sleep problems in the past seven days.”
Background
Tailored Music Listening in Persons With Dementia: A Feasibility Randomized Clinical Trial
Petrovsky, D., Bradt, J., McPhillips, M., Sefcik, J. S., Gitlin, L. N., & Hodgson, N. A. (2023) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/15333175231186728 · Cited by 14
Self-reported fatigue impact is associated with frequency of falls and injurious falls in people with multiple sclerosis
Abou, L., Fritz, N. E., & Kratz, A. L. (2023) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2023.104910 · Cited by 11
Weight Loss After Stroke Through an Intensive Lifestyle Intervention (Group Lifestyle Balance-Cerebrovascular Accident): Protocol for a Randomized Controlled Trial
Driver, S. J., Swank, C., Froehlich-Grobe, K., McShan, E., Calhoun, S., & Bennett, M. (2019) · JMIR Research Protocols · doi:10.2196/14338 · Cited by 11
Comparing enhanced versus standard Diabetes Prevention Program among indigenous adults in an urban setting: a randomized controlled trial
Rosas, L. G., Vasquez, J. J., Hedlin, H., Qin, F., Lv, N., Xiao, L., Kendrick, A., Atencio, D., & Stafford, R. S. (2020) · BMC Public Health · doi:10.1186/s12889-020-8250-7 · Cited by 11
“Alcohol consumption was assessed using the AUDIT-C [41] and sleep habits and quality were assessed using the PROMIS questionnaire [42].”
Method
The design of a randomized control trial of exoskeletal-assisted walking in the home and community on quality of life in persons with chronic spinal cord injury
Spungen, A. M., Bauman, W. A., Biswas, K., Jones, K. M., Snodgrass, A. J., Goetz, L. L., Gorman, P. H., Kirshblum, S., Sabharwal, S., White, K. T., et al. (2020) · Contemporary Clinical Trials · doi:10.1016/j.cct.2020.106102 · Cited by 11
Pilot Study of Compassion Meditation Training to Improve Well-being Among Older Adults
Malaktaris, A. L., Lang, A. J., Casmar, P. V., Baca, S. A., Hurst, S., Jeste, D. V., & Palmer, B. W. (2020) · Clinical Gerontologist · doi:10.1080/07317115.2020.1839826 · Cited by 14
“Sleep quality was measured with the PROMIS Sleep Disturbance and Sleep Impairment scales (fixed 8-item versions; Yu et al., 2012).”
Method
Links between Savoring, Rumination, and Sleep-Related Experiences across Adulthood: Implications for Older Adults
Tighe, C. A., Dautovich, N. D., Hilgeman, M. M., & Allen, R. S. (2021) · Clinical Gerontologist · doi:10.1080/07317115.2021.1878404 · Cited by 12
“Average levels of sleep disturbance and sleep-related impairment were within normal limits (Buysse et al., 2010; Yu et al., 2012).”
Background
Mental health issues and health disparities amid COVID-19 outbreak in China: Comparison of residents inside and outside the epicenter
Cheng, C., Wang, H.-Y., & Chau, C.-L. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.114070 · Cited by 11
“Sleep disturbance was measured by the PROMISTM Sleep Disturbance short form (version 1.0 8b; Yu et al., 2011) with respondents rating each of the instrument’s eight items on a 5-point scale.”
Influential
Lifestyle Behaviors and Parents’ Mental Well-Being Among Low-Income Families During COVID-19 Pandemic
Robbins, L. B., & Ling, J. (2022) · Nursing Research · doi:10.1097/nnr.0000000000000576 · Cited by 11
“Parents responded to a 5-point Likert scale to report about their quantity and quality sleep, as well as difficulty falling or staying asleep (Yu et al., 2012).”
BackgroundMethodInfluential
Medial branch radiofrequency ablation outcomes in patients with centralized pain
Morffi, D., Larach, D. B., Moser, S. E., Goesling, J., Hassett, A. L., & Brummett, C. M. (2019) · Regional Anesthesia & Pain Medicine · doi:10.1136/rapm-2018-100275 · Cited by 10
Impact of Changing School Start Times on Teacher Sleep Health and Daytime Functioning
Wahlstrom, K. L., Plog, A. E., McNally, J., & Meltzer, L. J. (2022) · Journal of School Health · doi:10.1111/josh.13254 · Cited by 16
Sociodemographic and behavioural risk factors associated with low awareness of diabetes mellitus medication in Indonesia: Findings from the Indonesian Family Life Survey (IFLS-5)
Khoiry, Q. A., Alfian, S. D., & Abdulah, R. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1072085 · Cited by 10
“Each measure of sleep quality and sleep impairment during the previous week was determined using a set of five items (30).”
Method
Sleep Disturbance Among Adults With Overactive Bladder: A Cross-sectional Survey
Lai, H. H., Walker, D. R., Elsouda, D., Lockefeer, A., Gallington, K., & Bacci, E. (2023) · Urology · doi:10.1016/j.urology.2023.06.014 · Cited by 10
Preoperative Predictors of Prolonged Opioid Use in the 6 Months After Total Knee Arthroplasty
Larach, D. B., Kertai, M. D., Billings, F. T., Anderson, S. B., Polkowski, G. G., Shinar, A. A., Milne, G. L., Mishra, P., & Bruehl, S. P. (2023) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000001143 · Cited by 10
Pilot feasibility testing of biomathematical model recommendations for personalising sleep timing in shift workers
Varma, P., Postnova, S., Phillips, A. J. K., Knock, S. A., Howard, M. E., Rajaratnam, S. M. W., & Sletten, T. L. (2023) · Journal of Sleep Research · doi:10.1111/jsr.14026 · Cited by 10
Latent class symptom profiles of colorectal cancer survivors with cancer-related cognitive impairment
Han, C. J., Saligan, L. N., Crouch, A., Kalady, M. F., Noonan, A. M., Lee, L. J., & Ah, D. M. V. (2023) · Supportive Care in Cancer · doi:10.1007/s00520-023-08031-8 · Cited by 10
“…Outcome Measurement Information System (PROMIS) short-form subscales, each containing 8 items (a 5-point Likert scale “1 = not at all” to “5 = very much.”) version 2.0 for Cognitive Function [20], and version 1.0 for Depression [21], Anxiety [21], Fatigue [22], and Sleep Disturbance [23].”
BackgroundInfluential
Relationship of cancer-related fatigue with psychoneurophysiological (PNP) symptoms in breast cancer survivors
Hsiao, C., Ah, D. M. V., Chen, M., & Saligan, L. N. (2023) · European Journal of Oncology Nursing · doi:10.1016/j.ejon.2023.102469 · Cited by 11
Timed Activity to Minimize Sleep Disturbance in People With Cognitive Impairment
Hodgson, N. A., McPhillips, M., Petrovsky, D., Pérez, A., Talwar, S., Gooneratne, N. S., Riegel, B. J., Aryal, S., & Gitlin, L. N. (2023) · Innovation in Aging · doi:10.1093/geroni/igad132 · Cited by 10
“PROMIS assesses care partner-reported perceptions of alertness, sleepiness, and tiredness of the person living with cognitive impairment during waking hours, as well as functional impairments and sleep problems (Yu et al., 2011).”
BackgroundMethod
Sleep quality and lymphedema in breast cancer survivors: a mixed method analysis
Bock, K. J., Peltzer, J. N., Liu, W., Colgrove, Y., Smirnova, I. V., & Siengsukon, C. F. (2024) · Journal of Cancer Survivorship · doi:10.1007/s11764-023-01516-9 · Cited by 12
“The T -score is reported with a standard error [53, 54].”
Protocol for a prospective, multicenter, parallel-group, open-label randomized controlled trial comparing standard care with Closed lOoP In chiLdren and yOuth with Type 1 diabetes and high-risk glycemic control: the CO-PILOT trial
Boucsein, A., Zhou, Y., Haszard, J. J., Jefferies, C., Wiltshire, E. J., Styles, S. E., Crocket, H. R., Galland, B. C., Pasha, M., Petrovski, G., et al. (2024) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-024-01397-4 · Cited by 10
“Participants will also complete the Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance (SD) and Sleep-Related Impairment (SRI) short form questionnaires to assess qualitative aspects of wake function and sleep [48].”
Method
Design and rationale of the cardiometabolic health program linked with community health workers and mobile health telemonitoring to reduce health disparities (LINKED-HEARTS) program
Commodore-Mensah, Y. Y., Chen, Y., Ogungbe, O., Liu, X., Metlock, F., Carson, K. A., Echouffo-Tcheugui, J. B., Ibe, C. A., Crews, D. C., Cooper, L. A., et al. (2024) · American Heart Journal · doi:10.1016/j.ahj.2024.05.008 · Cited by 13
Three-dimensional mean disease alleviation (3D-MDA): The next step in measuring sleep apnea treatment effectiveness
Kaffenberger, T. M., Soose, R. J., Strollo, P. J., & Vanderveken, O. M. (2024) · Sleep Medicine · doi:10.1016/j.sleep.2024.11.027 · Cited by 10
Sample ascertainment and clinical outcome measures in the Accelerating Medicines Partnership® Schizophrenia Program
Addington, J., Liu, L., Braun, A., Auther, A. M., Calkins, M. E., Cornblatt, B. A., Corcoran, C. M., Fusar‐Poli, P., Kerr, M., Mourgues, C., et al. (2025) · Schizophrenia · doi:10.1038/s41537-025-00556-7 · Cited by 10

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: Yu, Lan
Buysse, Daniel J.
Germain, Anne
Moul, Douglas E.
Stover, Angela
Dodds, Nathan E.
Johnston, Kelly L.
Pilkonis, Paul A.
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
DOI: 10.1080/15402002.2012.636266
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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Development of Short Forms From the PROMIS™ Sleep Disturbance and Sleep-Related Impairment Item Banks

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