Nurse-Supported Self-Directed Cognitive Behavioral Therapy for Insomnia: A Randomized Clinical Trial.

Importance: Cognitive behavioral therapy for insomnia (CBTi) is the standard of care for treating insomnia disorder, but access is limited. Alternative approaches are needed to expand access to the standard of care. Objective: To examine the effectiveness of a nurse-supported, self-directed behavioral insomnia intervention for decreasing insomnia severity and improving sleep outcomes among veterans, a population with considerable mental health comorbidity. Design, Setting, and Participants: This randomized clinical trial included 178 patients with insomnia disorder who were recruited from a Veterans Affairs hospital (Durham VA Healthcare System) from September 2019 to April 2022 and randomized following baseline assessment; follow-ups were conducted at 8 weeks (primary end point) and 6 months. Data analysis was primarily conducted during the summer of 2023 and concluded in May 2024. Intervention: Six weekly phone calls from a nurse interventionist plus assigned treatment manual readings covering CBTi treatment components. The health education manual focused on health topics but not sleep. Main Outcomes and Measures: The primary outcome was the Insomnia Severity Index (score range, 0-28; remission <8; differential improvement of 3 points targeted) score assessed at 8 weeks postrandomization. Secondary outcomes were sleep outcomes, depression, fatigue, treatment response, and remission. Results: Of 178 study participants, the mean (SD) age was 55.1 (13.2) years, and 128 (71.9%) identified as men. At 8 weeks, Insomnia Severity Index scores decreased by an estimated mean (SE) of 5.7 (0.51) points in the intervention group and 2.0 (0.47) points in the control group, a differential mean improvement of 3.7 points (95% CI, -5.0 to -2.4; P < .001). Differences were sustained at 6 months (mean, -2.8; 95% CI, -4.4 to -1.3; P < .001). The intervention also resulted in greater improvements at 8 weeks postrandomization in diary sleep onset latency, wake after sleep onset, and sleep efficiency and actigraphy sleep efficiency; these differences were sustained at 6 months. At 8 weeks, depression and fatigue were significantly reduced, and the odds of treatment response and remission were greater in the intervention group compared with controls. Conclusions and Relevance: This randomized clinical trial found that despite greater prevalence of mental health conditions and sleep difficulties among veterans, a nurse-supported self-directed CBTi was more effective than health education control for reducing insomnia severity and improving sleep outcomes. Although less effective than therapist-delivered CBTi, findings were comparable with other trials using modified CBTi protocols. Trial Registration: ClinicalTrials.gov Identifier: NCT03727438.

Decisional Needs of Veterans With Mild Traumatic Brain Injury Initiating Treatment for Insomnia Disorder and Obstructive Sleep Apnea.

OBJECTIVE: We sought to elicit key informant (KI) perspectives regarding decisional needs of Veterans with mild traumatic brain injury (mTBI) who are initiating insomnia disorder and obstructive sleep apnea (OSA) treatment within the Veterans Health Administration (VHA) Polytrauma/TBI System of Care (PSC). Specifically, we sought to understand: (1) information regarding treatment options that Veterans with mTBI require in order to make an informed decision; and (2) values used to guide decision-making (ie, personally meaningful aspects of the decision used to compare treatment options). SETTING: Nationwide VHA PSC sites. PARTICIPANTS: Clinicians included VHA providers and policymakers involved in the management of mTBI and/or sleep disorders in the VHA PSC (n = 29). Veterans included those with a clinician-confirmed mTBI who received care for insomnia disorder and/or OSA within the past year (n = 20). DESIGN: Semi-structured interviews with the 49 KIs were recorded and transcribed verbatim. Themes were identified using a descriptive and interpretive approach to qualitative analysis. MAIN MEASURES: Not applicable. RESULTS: Informational needs identified by both KI groups included information regarding outcomes and downsides of treatment, accessible delivery, treatment candidates, description of diagnosis, and level of commitment. Values used to guide decision-making for both insomnia disorder and OSA treatment included benefits, downsides, and availability of treatments. Values used to decide on insomnia treatments alone included time commitment, intrinsic management of sleep, beliefs regarding mental health treatment, and time course of benefit. Values used to decide on OSA treatment alone included intrusiveness of the treatment, appearance, and impact on bed partners. CONCLUSIONS: The current study revealed the decisional needs of Veterans with mTBI who are initiating sleep disorder treatment. Findings can inform the development of decision aids and other efforts aimed at promoting patient-centered management of comorbid mTBI and sleep disorders, thereby improving care quality and clinical outcomes.

Mindful Night-to-Day: A Pilot Feasibility Trial of a Mindfulness-Based Insomnia and Symptom Management Intervention for Patients with Hematologic Cancer.

OBJECTIVES: Patients with hematologic cancer experience severe symptoms (i.e. insomnia, fatigue, pain, distress). Few interventions addressing insomnia and other symptoms exist for this population. Mindfulness-Based Therapy for Insomnia (MBTI) may be appropriate but has only been tested in healthy outpatients. This study aimed to develop and test an adapted MBTI protocol for hematologic cancer patients. METHODS: Patient (n = 3) and clinician (n = 1) focus groups, and user-testing (N = 5) informed adaptation of Mindful Night-to-Day (MBTI+). A single-arm pilot trial (N = 32) evaluated feasibility (accrual, attrition, adherence), acceptability (intervention satisfaction), and changes to insomnia symptom severity (Insomnia Severity Index; primary outcome) and secondary outcomes (fatigue, pain, distress, pre-sleep arousal, mindfulness, symptom management self-efficacy) at baseline, post-intervention, and 1-month post-intervention. Descriptive statistics and paired sample t-tests were conducted. RESULTS: Qualitative feedback informed MBTI+ content, format, and delivery. Mindfulness was used to increase symptom awareness (sleepiness vs. fatigue). Meditations and behavioral skills were applied to inpatient treatment. MBTI+ met feasibility (N = 32/12 months; 8.1% attrition; 83.8% adherence) and acceptability (M = 3.52/4.00) benchmarks. Insomnia symptom severity decreased (d = 1.20) from baseline to post-intervention, as did most secondary outcomes. CONCLUSIONS: MBTI+ was feasible, acceptable, and showed promise for benefits throughout inpatient and outpatient treatment. Findings warrant further evaluation in a randomized trial.

Factors Influencing Adherence to Insomnia and Obstructive Sleep Apnea Treatments among Veterans with Mild Traumatic Brain Injury.

OBJECTIVE: To understand factors influencing adherence to recommended treatment for insomnia and obstructive sleep apnea (OSA) among Veterans with mild traumatic brain injury (mTBI). METHOD: Semi-structured interviews (n = 49) with 29 clinical stakeholders and 20 Veterans were conducted. Clinical stakeholders included Veterans Health Administration providers and policymakers involved in the management of mTBI and/or sleep disorders. Veterans included those with a clinician-confirmed mTBI with a recent history of insomnia disorder and/or OSA treatment. Themes were identified using a Descriptive and Interpretive approach. RESULTS: Barriers to sleep disorder treatment adherence included factors associated with the patient (e.g., negative appraisal of treatment benefit), intervention (e.g., side effects), health conditions (e.g., cognitive challenges), health care system (e.g., limited availability of care), and socioeconomic status (e.g., economic instability). Similarly, facilitators of adherence included patient- (e.g., positive appraisal of treatment benefit), intervention- (e.g., flexible delivery format), condition- (e.g., accommodating cognitive impairments), health care system- (e.g., access to adherence support), and socioeconomic-related factors (e.g., social support). CONCLUSIONS: Interviews revealed the multi-faceted nature of factors influencing adherence to sleep disorder treatment among Veterans with mTBI. Findings can inform the development of novel interventions and care delivery models that meet the complex needs of this population.

Factors influencing shared decision-making for insomnia and obstructive sleep apnea treatment among Veterans with mild traumatic brain injury.

STUDY OBJECTIVES: We elicited perspectives of clinical stakeholders and Veterans regarding barriers and facilitators to implementing shared decision-making (SDM) for comorbid mild traumatic brain injury (mTBI) and sleep disorders in the Veterans Health Administration. We also compared the perspectives of clinical stakeholders and Veterans regarding determinants of SDM. METHODS: Semistructured interviews were conducted with 29 clinical stakeholders and 20 Veterans (n = 49). Clinical stakeholders included Veterans Health Administration providers and policymakers involved in the management of mTBI and/or sleep disorders (insomnia disorder, obstructive sleep apnea). Veterans included those with a clinician-confirmed mTBI who received care for insomnia disorder and/or obstructive sleep apnea within the past year. Themes were identified using a descriptive and interpretive approach to qualitative analysis. We compared results across clinical stakeholders and Veterans. RESULTS: Barriers to implementing SDM were identified by both groups at the patient (eg, mTBI sequalae), provider (eg, deprioritization of Veteran preferences), encounter (eg, time constraints), and facility levels (eg, reduced care access). Similarly, both groups identified facilitators at the patient (eg, enhanced trust), provider (eg, effective communication), encounter (eg, decision support), and facility levels (eg, mitigating access barriers). Integrated services and provider discontinuity were factors identified by clinical stakeholders and Veterans alone, respectively. CONCLUSIONS: Our study revealed factors shaping the implementation of SDM at the levels of the patient, provider, encounter, and facility. Findings can inform the development of strategies aimed at implementing SDM for comorbid mTBI and sleep disorders, promoting patient-centered care and enhancing clinical outcomes. CITATION: Kinney AR, Brenner LA, Nance M, et al. Factors influencing shared decision-making for insomnia and obstructive sleep apnea treatment among Veterans with mild traumatic brain injury. J Clin Sleep Med. 2024;20(5):801-812.

Guideline-concordant use of cognitive behavioral therapy for insomnia in the Veterans Health Administration.

OBJECTIVE: To characterize guideline-concordant use of cognitive behavioral therapy for insomnia vs. sleep medications among Veterans Health Administration patients. METHODS: Cognitive behavioral therapy for insomnia was identified from the text of psychotherapy notes within the Veterans Health Administration's electronic medical record. Patients that received first-line cognitive behavioral therapy for insomnia (ie, no prior insomnia treatment) were compared to those who first received a sleep medication in fiscal year 2021. RESULTS: Among 5,519,016 patients, first-line cognitive behavioral therapy for insomnia was received by 9313 (0.2%) whereas 225,618 (4.1%) were newly prescribed a sleep medication without prior cognitive behavioral therapy for insomnia. Patients over 60 years old and those with substance use disorders were less likely to receive first-line cognitive behavioral therapy for insomnia compared to other patients. CONCLUSIONS: Adherence to practice guidelines to provide cognitive behavioral therapy for insomnia as first-line treatment for insomnia disorder remains a challenge, highlighting the need to better integrate effective implementation strategies within therapist training programs. Targeted strategies may be needed for older patients or those with substance use disorders.

Probable trauma associated sleep disorder in post-9/11 US Veterans.

Study Objectives: The purpose of this study was to (1) estimate trauma associated sleep disorder (TASD) prevalence among post-9/11 era veterans and to describe differences in service and comorbid mental health clinical characteristics among individuals with and without probable TASD, and (2) estimate TASD prevalence and characteristics of reported traumatic experiences stratified by sex. Methods: We used cross-sectional data from the post-deployment mental health study of post-9/11 veterans, which enrolled and collected baseline data from 2005 to 2018. We classified veterans as having probable TASD using self-reported measures: traumatic experiences from the traumatic life events questionnaire (TLEQ) and items from the Pittsburgh sleep quality index with Addendum for posttraumatic stress disorder (PTSD) mapped to TASD diagnostic criteria and ascertained mental health diagnoses (PTSD, major depressive disorder [MDD]) via Structured Clinical Interview for DSM-IV. We calculated effect sizes as prevalence ratios (PR) for categorical variables and Hedges' g for continuous variables. Results: Our final sample included 3618 veterans (22.7% female). TASD prevalence was 12.1% (95% CI: 11.1% to 13.2%) and sex-stratified prevalence was similar for female and male veterans. Veterans with TASD had a much higher comorbid prevalence of PTSD (PR: 3.72, 95% CI: 3.41 to 4.06) and MDD (PR: 3.93, 95% CI: 3.48 to 4.43). Combat was the highest reported most distressing traumatic experience among veterans with TASD (62.6%). When stratifying by sex, female veterans with TASD had a wider variety of traumatic experiences. Conclusions: Our results support the need for improved screening and evaluation for TASD in veterans, which is currently not performed in routine clinical practice.

Nightmares: an independent risk factor for cardiovascular disease?

STUDY OBJECTIVES: Prior work has established associations between post-traumatic stress disorder (PTSD), disrupted sleep, and cardiovascular disease (CVD), but few studies have examined health correlates of nightmares beyond risks conferred by PTSD. This study examined associations between nightmares and CVD in military veterans. METHODS: Participants were veterans (N = 3468; 77% male) serving since September 11, 2001, aged 38 years (SD = 10.4); approximately 30% were diagnosed with PTSD. Nightmare frequency and severity were assessed using the Davidson Trauma Scale (DTS). Self-reported medical issues were assessed using the National Vietnam Veterans Readjustment Study Self-report Medical Questionnaire. Mental health disorders were established using the Structured Clinical Interview for DSM-IV. The sample was stratified by the presence or absence of PTSD. Within-group associations between nightmare frequency and severity and self-reported CVD conditions, adjusting for age, sex, race, current smoking, depression, and sleep duration. RESULTS: Frequent and severe nightmares during the past week were endorsed by 32% and 35% of participants, respectively. Those endorsing nightmares that were frequent, severe, and the combination thereof were more likely to also evidence high blood pressure (ORs 1.42, OR 1.56, and OR 1.47, respectively) and heart problems (OR 1.43, OR 1.48, and OR 1.59, respectively) after adjusting for PTSD diagnosis and other covariates. CONCLUSIONS: Nightmare frequency and severity among veterans are associated with cardiovascular conditions, even after controlling for PTSD diagnosis. Study findings suggest that nightmares may be an independent risk factor for CVD. Additional research is needed to validate these findings using confirmed diagnoses and explore potential mechanisms.

The Use of Evaluation Panels During the Development of a Digital Intervention for Veterans Based on Cognitive Behavioral Therapy for Insomnia: Qualitative Evaluation Study.

BACKGROUND: Individuals enrolling in the Veterans Health Administration frequently report symptoms consistent with insomnia disorder. Cognitive behavioral therapy for insomnia (CBT-I) is a gold standard treatment for insomnia disorder. While the Veterans Health Administration has successfully implemented a large dissemination effort to train providers in CBT-I, the limited number of trained CBT-I providers continues to restrict the number of individuals who can receive CBT-I. Digital mental health intervention adaptations of CBT-I have been found to have similar efficacy as traditional CBT-I. To help address the unmet need for insomnia disorder treatment, the VA commissioned the creation of a freely available, internet-delivered digital mental health intervention adaptation of CBT-I known as Path to Better Sleep (PTBS). OBJECTIVE: We aimed to describe the use of evaluation panels composed of veterans and spouses of veterans during the development of PTBS. Specifically, we report on the methods used to conduct the panels, the feedback they provided on elements of the course relevant to user engagement, and how their feedback influenced the design and content of PTBS. METHODS: A communications firm was contracted to recruit 3 veteran (n=27) and 2 spouse of veteran (n=18) panels and convene them for three 1-hour meetings. Members of the VA team identified key questions for the panels, and the communications firm prepared facilitator guides to elicit feedback on these key questions. The guides provided a script for facilitators to follow while convening the panels. The panels were telephonically conducted, with visual content displayed via remote presentation software. The communications firm prepared reports summarizing the panelists' feedback during each panel meeting. The qualitative feedback described in these reports served as the raw material for this study. RESULTS: The panel members provided markedly consistent feedback on several elements of PTBS, including recommendations to emphasize the efficacy of CBT-I techniques; clarify and simplify written content as much as possible; and ensure that content is consistent with the lived experiences of veterans. Their feedback was congruent with previous studies on the factors influencing user engagement with digital mental health interventions. Panelist feedback influenced multiple course design decisions, including reducing the effort required to use the course's sleep diary function, making written content more concise, and selecting veteran testimonial videos that emphasized the benefits of treating chronic insomnia symptoms. CONCLUSIONS: The veteran and spouse evaluation panels provided useful feedback during the design of PTBS. This feedback was used to make concrete revisions and design decisions consistent with existing research on improving user engagement with digital mental health interventions. We believe that many of the key feedback messages provided by these evaluation panels could prove useful to other digital mental health intervention designers.

Provider-supported self-management cognitive behavioral therapy for insomnia (Tele-Self CBTi): Protocol for a randomized controlled trial.

BACKGROUND: Cognitive Behavioral Therapy for Insomnia (CBTi) is recommended as first-line treatment for insomnia, yet patient access to CBTi is limited. Self-help CBTi could increase patient access. Self-help CBTI with provider sup]port is more effective and is preferred by patients. Self-help CBTi has not been evaluated in veterans; a population with greater medical and mental health morbidity and more severe sleep difficulties than non-veterans. Moreover, those with mental health conditions have been largely excluded from prior CBTi self-help trials. Stablishing the efficacy of provider-supported Self-help CBTi is an important first step for expanding veteran access to CBTi. METHODS: In a 2-armed randomized controlled trial, a provider-supported self-help CBTi (Tele-Self CBTi) is compared to Health Education for improving insomnia severity (primary outcome) among treatment-seeking veterans with insomnia disorder. Tele-Self CBTi is comprised of two treatment components: self-help CBTi via a professionally designed manual developed using an iterative process of expert review and patient input; and 6 telephone-based support sessions lasting >20 min. Outcomes are assessed at baseline, 8 weeks, and 6 months after baseline. The primary outcome, insomnia severity, is measured using the Insomnia Severity Index. Secondary outcomes include self-reported and actigraphy-assessed sleep, fatigue, depression symptoms, and sleep-related quality of life. CONCLUSION: Innovative approaches are essential to improving overall health among veterans; a population with highly prevalent insomnia disorder. If effective, Tele-Self CBTi may bridge the gap between unavailable resources and high demand for CBTi and serve as the entry level intervention in a stepped model of care. GOV IDENTIFIER: NCT03727438.

Maintaining Implementation through Dynamic Adaptations (MIDAS): protocol for a cluster-randomized trial of implementation strategies to optimize and sustain use of evidence-based practices in Veteran Health Administration (VHA) patients.

BACKGROUND: The adoption and sustainment of evidence-based practices (EBPs) is a challenge within many healthcare systems, especially in settings that have already strived but failed to achieve longer-term goals. The Veterans Affairs (VA) Maintaining Implementation through Dynamic Adaptations (MIDAS) Quality Enhancement Research Initiative (QUERI) program was funded as a series of trials to test multi-component implementation strategies to sustain optimal use of three EBPs: (1) a deprescribing approach intended to reduce potentially inappropriate polypharmacy; (2) appropriate dosing and drug selection of direct oral anticoagulants (DOACs); and (3) use of cognitive behavioral therapy as first-line treatment for insomnia before pharmacologic treatment. We describe the design and methods for a harmonized series of cluster-randomized control trials comparing two implementation strategies. METHODS: For each trial, we will recruit 8-12 clinics (24-36 total). All will have access to relevant clinical data to identify patients who may benefit from the target EBP at that clinic and provider. For each trial, clinics will be randomized to one of two implementation strategies to improve the use of the EBPs: (1) individual-level academic detailing (AD) or (2) AD plus the team-based Learn. Engage. Act. PROCESS: (LEAP) quality improvement (QI) learning program. The primary outcomes will be operationalized across the three trials as a patient-level dichotomous response (yes/no) indicating patients with potentially inappropriate medications (PIMs) among those who may benefit from the EBP. This outcome will be computed using month-by-month administrative data. Primary comparison between the two implementation strategies will be analyzed using generalized estimating equations (GEE) with clinic-level monthly (13 to 36 months) percent of PIMs as the dependent variable. Primary comparative endpoint will be at 18 months post-baseline. Each trial will also be analyzed independently. DISCUSSION: MIDAS QUERI trials will focus on fostering sustained use of EBPs that previously had targeted but incomplete implementation. Our implementation approaches are designed to engage frontline clinicians in a dynamic optimization process that integrates the use of actional clinical data and making incremental changes, designed to be feasible within busy clinical settings. TRIAL REGISTRATION: ClinicalTrials.gov: NCT05065502 . Registered October 4, 2021-retrospectively registered.

Sleep disturbance and pain in U.S. adults over 50: evidence for reciprocal, longitudinal effects.

OBJECTIVE: To examine the relationship between sleep disturbance and pain over a 14-year period. METHODS: This study used data from the 2002-2016 waves of the Health and Retirement Study (HRS), an observational study of U.S. adults over age 50 (n = 17,756). Sleep disturbance was measured via four items (assessing difficulty falling asleep, staying asleep, and waking up too early as well as restedness) and pain via two items assessing the presence and degree of pain. Analyses consisted of path analysis; more specifically, random intercept cross-lagged panel modeling (RI-CLPM) was used to examine how pain and sleep disturbance predict one another over two-year intervals after accounting for the trait-like nature of both factors. RESULTS: There was evidence of reciprocal effects between sleep disturbance and pain across some, but not all, intervals. Moreover, the latent variables representing the trait-like nature of sleep disturbance and pain both showed significant variance (p < 0.001), indicating stable differences between persons in sleep and pain. These trait-like characteristics were strongly associated (ß = 0.51, p < 0.001). The findings remained after adjusting the model for baseline age, self-reported health, partner status, depression, years of education, and sex. CONCLUSION: Sleep disturbance and pain are stable experiences. Moreover, there was some evidence that sleep disturbance and pain are bidirectionally linked across time among adults over 50, whereby across some intervals deviations in one's typical level of sleep disturbance predicted corresponding deviations in one's typical level of pain and vice versa. Clinically, this comorbidity and potential longitudinal bidirectionality underscore the importance of evidence-based interventions that target both sleep and pain among older individuals. Further studies should replicate these findings by collecting validated and/or objective sleep and pain measures on a more frequent basis.

Prevalence of insomnia disorder and sleep apnea in a sample of veterans at risk for cardiovascular disease.

STUDY OBJECTIVES: The objectives of this study were to examine the proportion of study participants screening positive for insomnia disorder and/or sleep apnea in veterans engaged in routine health care and known to be at risk for cardiovascular disease and to compare these proportions with those previously documented in medical records. METHODS: This was a cross-sectional analysis of baseline data from a randomized clinical intervention trial for patients at risk of cardiovascular disease and a review of study participants' medical records. Participants were veterans ≥ 40 years of age, enrolled in Veterans Affairs primary care, and diagnosed with hypertension and/or hypercholesterolemia. Self-report outcomes were the proportion of patients screening positive for an insomnia disorder and sleep apnea, self-reporting a sleep apnea diagnosis, and endorsing undertreated sleep apnea. Medical record outcomes were the proportion of patients diagnosed with insomnia and sleep apnea. RESULTS: Participants (n = 420) were veterans (84.8% male) with a mean age of 61.1 years. More than half of the sample (52.1%) screened positive for sleep apnea without prior self-reported diagnosis. More than one-third of the sample (39%) screened positive for an insomnia disorder. Medical records revealed considerably lower rates, with 3.8% diagnosed with insomnia, 20.5% diagnosed with sleep apnea, and about 1% diagnosed with both conditions. CONCLUSIONS: Undiagnosed and undertreated sleep disorders are common among veterans at risk for cardiovascular disease. Most of the sample (82%) screened positive for, or met, study criteria for sleep apnea or an insomnia disorder. Limitations include the use of self-reported sleep apnea treatment adherence, an insomnia disorder diagnosis based on questionnaire score, and a sample comprised primarily of male veterans. Routine sleep disorders screening in veterans at risk for cardiovascular disease could help to identify those at even greater risk because of the adverse effects of undiagnosed or undertreated sleep disorders. CLINICAL TRIAL REGISTRATION: Registry; ClinicalTrials.gov; Name: Cardiovascular Intervention Improvement Telemedicine Study; URL: https://clinicaltrials.gov/ct2/show/NCT01142908; Identifier: NCT01142908.

The Veterans Administration and Department of Defense clinical practice guidelines for the diagnosis and management of sleep disorders: what does this mean for the practice of sleep medicine?

None: In 2017 the Veterans Administration (VA) and Department of Defense (DOD) launched development of clinical practice guidelines (CPGs) for the diagnosis and treatment of sleep disorders, with the goal of informing and improving patient care. The guideline development process followed GRADE methodology, considering studies and systematic reviews published over the 10-year period prior to guideline development. A total of 41 recommendations were made,18 related to the diagnosis and treatment of obstructive sleep apnea (OSA) and 23 regarding chronic insomnia disorder. In contrast to other published guidelines, the VA DoD CPGs provide a comprehensive approach to diagnosis and management of the two most common sleep disorders, including a discussion of the sequencing of diagnostic approaches and treatment options. Regarding OSA, strong recommendations were made for follow-up evaluation after non-diagnostic home sleep apnea tests, positive airway pressure therapy as first-line treatment, and the incorporation of supportive, educational and behavioral interventions for patients at high risk for PAP therapy non-adherence due to comorbid conditions. Strong recommendations were also made for the use of cognitive-behavioral therapy for insomnia and against the use of kava (an herbal supplement) in the treatment of chronic insomnia disorder. These guidelines, while intended to directly inform care within VA and DOD, are broadly relevant to the practice of sleep medicine. The majority of scientific evidence was based on studies of non-military, non-veteran populations. The CPG is a major milestone for the VA and DOD in recognizing the importance of evidence-based treatments for sleep disorders in military personnel and veterans.

Prevalence rates and correlates of insomnia disorder in post-9/11 veterans enrolling in VA healthcare.

STUDY OBJECTIVES: Post-9/11 veterans are particularly vulnerable to insomnia disorder. Having accurate prevalence rates of insomnia disorder in this relatively young, diverse population, is vital to determine the resources needed to identify and treat insomnia disorder. However, there are no accurate prevalence rates for insomnia disorder in post-9/11 veterans enrolling in the VA Healthcare System (VHA). We present accurate prevalence of insomnia disorder, and correlates, in a large sample of post-9/11 veterans enrolling in a VHA. METHODS: This was an observational study of 5,552 post-9/11 veterans newly enrolling for health care in a VHA. Data were collected using VA eScreening. Insomnia diagnosis was determined using a clinical cutoff score of ≥ 11 on the Insomnia Severity Index. Measures also included sociodemographic, service history, posttraumatic stress disorder (PTSD), depression, suicidal ideation, alcohol misuse, military sexual trauma, traumatic brain injury (TBI), and pain intensity. RESULTS: About 57.2% of the sample population had insomnia disorder. Our sample was nationally representative for age, sex, ethnicity, branch of the military, and race. The sample also was at high-risk for a host of clinical disorders, including PTSD, TBI, and pain; all of which showed higher rates of insomnia disorder (93.3%, 77.7%, and 69.6%, respectively). CONCLUSIONS: The findings suggest alarmingly high rates of insomnia disorder in this population. Examining and treating insomnia disorder, especially in the context of co-occurring disorders (e.g. PTSD), will be a necessity in the future.

The Management of Chronic Insomnia Disorder and Obstructive Sleep Apnea: Synopsis of the 2019 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guidelines.

Description: In September 2019, the U.S. Department of Veterans Affairs (VA) and the U.S. Department of Defense (DoD) approved a new joint clinical practice guideline for assessing and managing patients with chronic insomnia disorder and obstructive sleep apnea (OSA). This guideline is intended to give health care teams a framework by which to screen, evaluate, treat, and manage the individual needs and preferences of VA and DoD patients with either of these conditions. Methods: In October 2017, the VA/DoD Evidence-Based Practice Work Group initiated a joint VA/DoD guideline development effort that included clinical stakeholders and conformed to the Institute of Medicine's tenets for trustworthy clinical practice guidelines. The guideline panel developed key questions, systematically searched and evaluated the literature, created three 1-page algorithms, and advanced 41 recommendations using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. Recommendations: This synopsis summarizes the key recommendations of the guideline in 3 areas: diagnosis and assessment of OSA and chronic insomnia disorder, treatment and management of OSA, and treatment and management of chronic insomnia disorder. Three clinical practice algorithms are also included.

Roles of Guilt Cognitions in Trauma-Related Sleep Disturbance in Military Veterans With Posttraumatic Stress Disorder.

Objective/Background: Despite a well-established role of guilt cognitions in the maintenance and treatment of posttraumatic stress disorder (PTSD), relationships of guilt cognitions to nightmares are not well understood. This study investigated the ways in which guilt cognitions, related to traumatic events, influenced the relationship between combat exposure and trauma-related sleep disturbance in military Veterans with PTSD. Participants: We recruited a sample of 50 Veterans with PTSD who completed study measures at a screening session. Methods: Participants completed self-report measures of exposure to potentially traumatic events, trauma-related guilt (hindsight bias, wrongdoing, and lack of justification) and trauma-related sleep disturbance as measured by a self-report scale and clinician ratings of nightmare severity. Results: Bivariate regression analyses established a relationship of combat exposure to wrongdoing (ß = .31, p = .031), and a relationship of wrongdoing with self-reported trauma-related sleep disturbance (ß = .27, p = .049) and clinician-rated nightmare severity (ß = .36, p = .009). Bootstrapping analysis that included years of education as a covariate found a significant overall indirect effect of combat exposure on clinician-rated nightmare severity exerted through wrongdoing (ß = .10, 95% CI [.004, .246]). Conclusions: Results suggest the association of combat exposure with trauma-related sleep disturbance is significantly influenced by perceived wrongdoing related to a traumatic event. Targeting cognitions related to wrongdoing and moral injury during a traumatic event in PTSD treatment may help ameliorate trauma-related sleep disturbance.

Posttraumatic stress disorder diagnosis is associated with reduced parasympathetic activity during sleep in US veterans and military service members of the Iraq and Afghanistan wars.

Study Objectives: To determine whether high-frequency heart rate variability (HF-HRV) during sleep differs between those with and without posttraumatic stress disorder (PTSD) as a function of sleep type (non-rapid eye movement [NREM] vs. rapid eye movement [REM]), and to explore this relationship across successive sleep cycles. Participants with PTSD were hypothesized to have lower HF-HRV across both REM and NREM sleep. Methods: Sixty-two post-9/11 military veterans and service members completed self-report measures of sleep quality, insomnia severity, and disruptive nocturnal behaviors. Participants then completed a laboratory-based polysomnographic study night with concurrent HRV assessment. Results: Participants with PTSD (N = 29) had lower HF-HRV in overall NREM sleep relative to those without PTSD (N = 33) (F(1, 54) = 4.24, p = .04). Groups did not differ on overall HF-HRV during REM sleep. HF-HRV increased over the night for the sample as a whole during both NREM and REM sleep. PTSD status did not moderate the association between HF-HRV and sleep cycles. However, the PTSD group had lower HF-HRV in the first t(155) = 2.67, p = .008, and fourth NREM cycles, t(155) = 2.11, p = .036, relative to participants without PTSD. Conclusions: Findings suggest blunted parasympathetic modulation during NREM sleep in a young cohort of military veterans and service-members with PTSD. Findings are concerning considering the increased risk of incident cardiovascular events associated with impaired parasympathetic nervous system function. Reduced parasympathetic modulation may be one mechanism underlying the increased prevalence of cardiovascular disease (CVD) among veterans with PTSD.

Increasing access to and utilization of cognitive behavioral therapy for insomnia (CBT-I): a narrative review.

The American College of Physicians (ACP) recently identified cognitive behavioral therapy for insomnia (CBT-I) as the first-line treatment for insomnia. Although CBT-I improves sleep outcomes and reduces the risks associated with reliance on hypnotics, patients are rarely referred to this treatment, especially in primary care where most insomnia treatment is provided. We reviewed the evidence about barriers to CBT-I referrals and efforts to increase the use of CBT-I services. PubMed, PsycINFO, and Embase were searched on January 11, 2018; additional titles were added based on a review of bibliographies and expert opinion and 51 articles were included in the results of this narrative review. Implementation research testing specific interventions to increase routine and sustained use of CBT-I was lacking. Most research focused on pre-implementation work that revealed the complexity of delivering CBT-I in routine healthcare settings due to three distinct categories of barriers. First, system barriers result in limited access to CBT-I and behavioral sleep medicine (BSM) providers. Second, primary care providers are not adequately screening for sleep issues and referring appropriately due to a lack of knowledge, treatment beliefs, and a lack of motivation to assess and treat insomnia. Finally, patient barriers, including a lack of knowledge, treatment beliefs, and limited access, prevent patients from engaging in CBT-I. These findings are organized using a conceptual model to represent the many challenges inherent in providing guideline-concordant insomnia care. We conclude with an agenda for future implementation research to systematically address these challenges.