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1200 Delivery of Cognitive Behavioral Therapy for Nightmares (CBT-N) in Primary Care Mental Health Integration Within the Veterans Health Administration

Courtney J Bolstad, Constance H Fung, Lori L. Davis, Lisa Zubkoff, Adam D Bramoweth, Audrey L Austin, Gerald McGwin, Christina Krieg, Katherine E Miller

SLEEPJ May 8, 2026 DOI: 10.1093/sleep/zsag091.1199 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Cross-sectional survey Peer reviewed
Sample size 82
Population VHA clinicians trained in CBT-N, including PCMHI and other settings
Measures Acceptability of Intervention Measure, Intervention Appropriateness Measure, Feasibility of Intervention Measure
Topics Dreaming
Key findings PCMHI clinicians perceived greater benefits of CBT-N than other clinicians but rated it less appropriate (4.00 vs. 4.73) and less feasible (3.00 vs. 3.69) to deliver in current formats, while acceptability was similar (4.50 vs. 4.65).

Abstract

Abstract Introduction Nightmares are common, undertreated, and linked to various biopsychosocial issues in veterans. To address this clinical need, a provider training and consultation program in Cognitive Behavioral Therapy for Nightmares (CBT-N) was established in 2020 within the Veterans Health Administration (VHA). Program evaluation data indicate that clinicians perceive CBT-N to be beneficial, though they also note barriers to implementation, including the discordance between CBT-N and certain clinical settings. Primary Care Mental Health Integration (PCMHI) is one such setting where brief episodes of care may limit the feasibility of standard CBT-N protocols (e.g., six, one-hour sessions).

Methods: VHA clinicians who received training from CBT-N program experts, including those trained within the past six months, responded to survey outreach in May 2024 (n=65/100) and August 2025 (n=17/28). CBT-N benefits were rated on a 6-point scale. A subset of clinicians (n=15) completed the Acceptability of Intervention Measure, Intervention Appropriateness Measure, and Feasibility of Intervention Measure about the CBT-N treatments in which they were trained. Participants were also encouraged to provide free-text responses, which were reviewed and categorized. Analysis of variance compared scores between PCMHI clinicians and clinicians in other settings.

Results: Results found that PCMHI clinicians (n=13) perceived greater benefits of CBT-N than clinicians in other settings (n=64), yet they faced barriers to implementation like scheduling constraints. A sub-group analysis found that PCMHI clinicians (n=3), compared to clinicians in other settings (n=12), rated CBT-N to be just as acceptable for patients in their clinic (4.50[0.50] vs. 4.65[0.48]; p=.65), but significantly less appropriate for delivery in its current formats (4.00[0.43] vs. 4.73[0.45]; p=.02) and less feasible to deliver (3.00[0.00] vs. 3.69[0.43]; p=.02). The free-text responses suggested CBT-N is acceptable, increases access to care, and improves patient outcomes, yet remains discordant with the PCMHI model.

Conclusion: These findings are interpreted in light of the study’s limitations, such as a small sample size, multiple statistical comparisons, and the cross-sectional design. Nevertheless, these preliminary findings suggest a need to adapt CBT-N for PCMHI. Doing so could expand access to nightmare treatment within the VHA and benefit veterans’ mental health. Support (if any) AASM Foundation 346-SR-24 (KEM)

Comparable studies

Other cross-sectional and survey studies on dreaming, most cited first.

Study Year Design Participants
Insomnia Symptoms, Nightmares, and Suicidal Ideation in a College Student Sample Undergraduate students at a large, public university in the southeastern United States 2011 Observational cross-sectional survey n = 583
Prevalence and Correlates of Frequent Nightmares: A Community-Based 2-Phase Study Middle-aged Hong Kong Chinese adults from the community, mean age 40.9 years (SD 5.5,... 2010 Cross-sectional survey with subsequent clinical evaluation (two-phase design) n = 8,558
Factors of home dream recall: a structural equation model Adults (general population sample) 2003 Cross-sectional survey with structural equation modeling n = 444
The Phenomenology of Lucid Dreaming: An Online Survey Respondents to an online survey about lucid dreams 2014 Online survey n = 684
Frequency of Lucid Dreaming in a Representative German Sample Representative sample of German adults 2011 Cross-sectional survey n = 919

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