| Literature DB >> 27173512 |
Adam D Bramoweth1, Jenna G Renqvist2, Anne Germain3, Daniel J Buysse3, Angela Gentili4, Gary Kochersberger5, Eric Rodriguez6, Michelle I Rossi7, Debra K Weiner8.
Abstract
OBJECTIVE : To present the seventh in a series of articles designed to deconstruct chronic low back pain (CLBP) in older adults. This article focuses on insomnia and presents a treatment algorithm for managing insomnia in older adults, along with a representative clinical case. METHODS : A modified Delphi process was used to develop the algorithm and supportive materials. A multidisciplinary expert panel representing expertise in health psychology and sleep medicine developed the algorithm and supporting documents that were subsequently refined through an iterative process of input from a primary care provider panel. RESULTS : We present an illustrative clinical case and an algorithm to help guide the care of older adults with insomnia, an important contributor to CLBP and disability. Multicomponent cognitive behavioral therapy for insomnia (CBTI) and similar treatments (e.g., brief behavioral treatment for insomnia [BBTI]) are the recommended first-line treatment. Medications should be considered only if BBTI/CBTI is suboptimal or not effective and should be prescribed at the lowest effective dose for short periods of time (< 90 days). CONCLUSIONS : Insomnia is commonly comorbid with CLBP in older adults and should be routinely evaluated and treated because it is an important contributor to pain and disability. The algorithm presented was structured to assist primary care providers in planning treatment for older adults with CLBP and insomnia. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. 2016. This work is written by US Government employees and is in the public domain in the US.Entities:
Keywords: Chronic Low Back Pain; Chronic Pain; Elderly; Insomnia; Low Back Pain; Older Adults; Sleep Disorders
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Year: 2016 PMID: 27173512 DOI: 10.1093/pm/pnw063
Source DB: PubMed Journal: Pain Med ISSN: 1526-2375 Impact factor: 3.750