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Practice Parameters for the Evaluation of Chronic Insomnia
Abstract
Chronic insomnia is the most common sleep complaint which health care practitioners must confront. Most insomnia patients are not, however, seen by sleep physicians but rather by a variety of primary care physicians. There is little agreement concerning methods for effective assessment and subsequent differential diagnosis of this pervasive problem. The most common basis for diagnosis and subsequent treatment has been the practitioner's clinical impression from an unstructured interview. No systematic, evidence-based guidelines for diagnosis exist for chronic insomnia. This practice parameter paper presents recommendations for the evaluation of chronic insomnia based on the evidence in the accompanying review paper. We recommend use of these parameters by the sleep community, but even more importantly, hope the large number of primary care physicians providing this care can benefit from their use. Conclusions reached in these practice parameters include the following recommendations for the evaluation of chronic insomnia. Since the complaint of insomnia is so widespread and since patients may overlook the impact of poor sleep quality on daily functioning, the health care practitioner should screen for a history of sleep difficulty. This evaluation should include a sleep history focused on common sleep disorders to identify primary and secondary insomnias. Polysomnography, and the Multiple Sleep Latency Test (MSLT) should not be routinely used to screen or diagnose patients with insomnia complaints. However, the complaint of insomnia does not preclude the appropriate use of these tests for diagnosis of specific sleep disorders such as obstructive sleep apnea, periodic limb movement disorder, and narcolepsy that may be present in patients with insomnia. There is insufficient evidence to suggest whether portable sleep studies, actigraphy, or other alternative assessment measures including static charge beds are effective in the evaluation of insomnia complaints. Instruments such as sleep logs, self-administered questionnaires, symptom checklist, or psychological screening tests may be of benefit to discriminate insomnia patients from normals, but these instruments have not been shown to differentiate subtypes of insomnia complaints.
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Citations
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Gradisar, M., Gardner, G., & Dohnt, H. (2011) · Sleep Medicine · doi:10.1016/j.sleep.2010.11.008 · Cited by 1,196
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Distinguishing sleepiness and fatigue: focus on definition and measurement
Shen, J., Barbera, J., & Shapiro, C. M. (2006) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2005.05.004 · Cited by 687
Espie, C. A. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135243 · Cited by 596
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Lichstein, K. L., Durrence, H. H., Taylor, D. J., Bush, A. J., & Riedel, B. W. (2003) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(02)00023-2 · Cited by 531
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Bloom, H. G., Ahmed, I., Alessi, C. A., Ancoli‐Israel, S., Buysse, D. J., Kryger, M. H., Phillips, B. A., Thorpy, M. J., Vitiello, M. V., & Zee, P. C. (2009) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2009.02220.x · Cited by 464
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Buscemi, N., Vandermeer, B., Friesen, C., Bialy, L., Tubman, M., Ospina, M., Klassen, T. P., & Witmans, M. (2007) · Journal of General Internal Medicine · doi:10.1007/s11606-007-0251-z · Cited by 448
Espie, C. A., Fleming, L., Cassidy, J., Samuel, L., Taylor, L. M., White, C. A., Douglas, N. J., Engleman, H. M., Kelly, H.-L., & Paul, J. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.13.9006 · Cited by 383
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Edinger, J. D., & Means, M. K. (2005) · Clinical Psychology Review · doi:10.1016/j.cpr.2005.04.003 · Cited by 344
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Slone, M., & Mann, S. (2016) · Child Psychiatry & Human Development · doi:10.1007/s10578-016-0626-7 · Cited by 347
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Krakow, B., Melendrez, D., Ferreira, E., Clark, J., Warner, T. D., Sisley, B., & Sklar, D. (2001) · Chest · doi:10.1378/chest.120.6.1923 · Cited by 313
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El-Sheikh, M., Buckhalt, J. A., Mize, J., & Acebo, C. (2006) · Child Development · doi:10.1111/j.1467-8624.2006.00854.x · Cited by 212
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Rondanelli, M., Opizzi, A., Monteferrario, F., Antoniello, N., Manni, R., & Klersy, C. (2011) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.03232.x · Cited by 126
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Williams, J., Roth, A., Vatthauer, K., & McCrae, C. S. (2013) · Chest · doi:10.1378/chest.12-0731 · Cited by 123
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Kessler, R. C., Coulouvrat, C., Hajak, G., Lakoma, M. D., Roth, T., Sampson, N., Shahly, V., Shillington, A., Stephenson, J. J., Walsh, J. K., et al. (2010) · Sleep · doi:10.1093/sleep/33.5.1539 · Cited by 71
Hypersomnolence, insomnia and the pathophysiology of upper airway resistance syndrome
Gold, A. R., Gold, M. S., Harris, K. W., Espeleta, V. J., Amin, M. M., & Broderick, J. E. (2008) · Sleep Medicine · doi:10.1016/j.sleep.2007.08.013 · Cited by 57
Mason, T. B. A., & Pack, A. I. (2005) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2005.06.042 · Cited by 52
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McCrae, C. S., Rowe, M. A., Dautovich, N. D., Lichstein, K. L., Durrence, H. H., Riedel, B. W., Taylor, D. J., & Bush, A. J. (2006) · Sleep · doi:10.1093/sleep/29.12.1551 · Cited by 47
(2005) · doi:10.1016/b0-72-160797-7/50126-9 · Cited by 43
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Brown, L. A., Taylor, D. J., Bryan, C., Wiley, J. F., Pruiksma, K., Khazem, L., Baker, J. C., Young, J., & O'Leary, K. (2022) · Aggression and Violent Behavior · doi:10.1016/j.avb.2022.101733 · Cited by 20
Metadata
- Authors
- Chesson, A., Hartse, K., Anderson, W. M., Davila, D., Johnson, S., Littner, M., Wise, M., & Rafecas, J.
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-01
- Volume
- 23
- Issue
- 2
- Pages
- 1-5
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- OpenAlex
- W2914221435
- Cited by
- 332
- References
- 0
- FWCI
- 10.56
- Type
- journal article
- Language
- en
- Open access
- closed
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