Sleep and Alcohol Use Among Veterans Living With Long COVID.

OBJECTIVES: Study objectives were to: (1) better understand sleep experiences and unhealthy alcohol use among Veterans with long COVID and (2) explore providers' perceptions of barriers and facilitators to delivering evidence-based care for sleep problems and unhealthy alcohol use in patients with long COVID. METHODS: VA electronic health records were used to conduct chart reviews (n = 57) of patients evaluated in a VA COVID-19 Recovery Clinic during 1 calendar year; semi-structured interviews were completed with Veterans (n = 5) and clinicians (n = 7) recruited from the clinic. Veteran participants also completed quantitative, self-report measures assessing sleep- and alcohol-related experiences and behaviors. RESULTS: Data from chart reviews and interviews suggested that Veterans with long COVID often had pre-existing sleep problems that were exacerbated during long COVID. Patients and providers agreed that sleep interventions would be beneficial and acceptable in the COVID-19 Recovery clinic. Conversely, few Veterans with long COVID had a pre-existing alcohol use disorder (AUD) diagnosis; alcohol use occurred less frequently and was less often discussed between patients and providers. Providers had mixed viewpoints on delivering alcohol-related care in the clinic; some were highly amenable, others were unsure whether patients would be receptive. CONCLUSIONS: This study is among the first to take a mixed-method approach to understanding experiences of sleep-wake behaviors and unhealthy alcohol use in Veterans with long COVID. Characterizing sleep and alcohol-related experiences, examining associations with functioning, and exploring perspectives on treatment approaches is critical to support efforts to refine, personalize, and optimize evidence-based sleep and alcohol care for Veterans living with long COVID.

Study protocol: Identifying transcriptional regulatory alterations of chronic effects of blast and disturbed sleep in United States Veterans.

Injury related to blast exposure dramatically rose during post-911 era military conflicts in Iraq and Afghanistan. Mild traumatic brain injury (mTBI) is among the most common injuries following blast, an exposure that may not result in a definitive physiologic marker (e.g., loss of consciousness). Recent research suggests that exposure to low level blasts and, more specifically repetitive blast exposure (RBE), which may be subconcussive in nature, may also impact long term physiologic and psychological outcomes, though findings have been mixed. For military personnel, blast-related injuries often occur in chaotic settings (e.g., combat), which create challenges in the immediate assessment of related-injuries, as well as acute and post-acute sequelae. As such, alternate means of identifying blast-related injuries are needed. Results from previous work suggest that epigenetic markers, such as DNA methylation, may provide a potential stable biomarker of cumulative blast exposure that can persist over time. However, more research regarding blast exposure and associations with short- and long-term sequelae is needed. Here we present the protocol for an observational study that will be completed in two phases: Phase 1 will address blast exposure among Active Duty Personnel and Phase 2 will focus on long term sequelae and biological signatures among Veterans who served in the recent conflicts and were exposed to repeated blast events as part of their military occupation. Phase 2 will be the focus of this paper. We hypothesize that Veterans will exhibit similar differentially methylated regions (DMRs) associated with changes in sleep and other psychological and physical metrics, as observed with Active Duty Personnel. Additional analyses will be conducted to compare DMRs between Phase 1 and 2 cohorts, as well as self-reported psychological and physical symptoms. This comparison between Service Members and Veterans will allow for exploration regarding the natural history of blast exposure in a quasi-longitudinal manner. Findings from this study are expected to provide additional evidence for repetitive blast-related physiologic changes associated with long-term neurobehavioral symptoms. It is expected that findings will provide foundational data for the development of effective interventions following RBE that could lead to improved long-term physical and psychological health.

Identifying predictors of the amount of veteran participation in cognitive behavioral therapy for insomnia in the Veterans Affairs health care system.

Insomnia is a prevalent and negatively impactful disorder among veterans. The Department of Veterans Affairs (VA) has committed significant resources to the development and dissemination of training related to cognitive behavioral therapy for insomnia (CBT-I), the recommended first-line intervention for chronic insomnia disorder. It has been established that VA clinicians can be effectively trained to deliver high fidelity CBT-I and that treatment results in significant improvements in insomnia. However, there is a paucity of research examining rates and predictors of veterans' participation in CBT-I in routine VA clinical care. In this study, we conducted a secondary analysis of data from VA electronic health records (EHR) to determine individual predisposing, enabling, and need factors associated with CBT-I participation. The sample included veterans who had at least one CBT-I templated note from the VA mid-Atlantic region of the United States (VISN4) between 2015 and 2019 in their chart (N = 2,801). CBT-I participation was defined by number of CBT-I templated notes occurring within a 6-month period from the initial note. Findings indicated that veterans most often completed only one session of CBT-I and, on average, completed approximately three sessions. Results from multinomial logistic regression identified significant associations of race, the presence of comorbid mental health disorders, rurality, presence of insomnia diagnosis, and insomnia medication with CBT-I participation; associations varied depending on how CBT-I participation was defined. More work is needed to better understand factors contributing to participation and reasons for completion and noncompletion of CBT-I. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Reduction of Sleep Medications via a Combined Digital Insomnia and Pharmacist-Led Deprescribing Intervention: Protocol for a Feasibility Trial.

BACKGROUND: Chronic insomnia is one of the most common health problems among veterans and negatively impacts their health, function, and quality of life. Although cognitive behavioral therapy for insomnia (CBT-I) is the first-line recommended treatment, sedative-hypnotic medications remain the most common. Sedative-hypnotics, however, have mixed effectiveness, are frequently prescribed longer than recommended, and are associated with numerous risks and adverse effects that negatively impact veteran function. Meeting the treatment needs of veterans impacted by insomnia requires delivering gold standard behavioral care, like CBT-I, and the reduction of sedative-hypnotics through innovative methods. OBJECTIVE: The objective of this feasibility clinical trial is to test a digital CBT-I approach combined with deprescribing to improve the success of sedative-hypnotic reduction among veterans. The intervention combines Noctem Health Clinician Operated Assistive Sleep Technology (COAST), an effective and efficient, scalable, and adaptable digital platform to deliver CBT-I, with clinical pharmacy practitioner (CPP)-led deprescribing of sedative-hypnotic medications. METHODS: In this nonrandomized single-group clinical trial, 50 veterans will be recruited and enrolled to receive CBT-I delivered via Noctem COAST and CPP-led deprescribing for up to 12 weeks. Assessments will occur at baseline, posttreatment, and 3-month follow-up. The aims are to (1) assess the feasibility of recruiting veterans with chronic sedative-hypnotic use to participate in the combined intervention, (2) evaluate veterans' acceptability and usability of the COAST platform, and (3) measure changes in veterans' sleep, sedative-hypnotic use, and function at baseline, posttreatment, and 3-month follow-up. RESULTS: The institutional review board approved the study in October 2021 and the trial was initiated in May 2022. Recruitment and data collection began in September 2022 and is anticipated to be completed in April 2024. Aim 1 will be measured by tracking the response to a mail-centric recruitment approach using electronic medical records to identify potentially eligible veterans based on sedative-hypnotic use. Aim 2 will be measured using the Post-Study System Usability Questionnaire, assessing overall usability as well as system usefulness, information quality, and interface quality. Aim 3 will use the Insomnia Severity Index and sleep diaries to measure change in insomnia outcomes, the Patient-Reported Outcome Measurement Information System Profile to measure change in physical function, anxiety, depression, fatigue, sleep disturbance, participation in social roles, pain, cognitive function, and self-reported sedative-hypnotic use to measure change in dose and frequency of use. CONCLUSIONS: Findings will inform the utility of a combined digital CBT-I and CPP-led deprescribing intervention and the development of an adequately powered clinical trial to test the effectiveness in a diverse sample of veterans. Further, findings will help inform potential new approaches to deliver care and improve access to care for veterans with insomnia, many of whom use sedative-hypnotics that may be ineffective and increase the risk for negative outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT05027438; https://classic.clinicaltrials.gov/ct2/show/NCT05027438. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47636.

Sleep disorders in veterans with serious mental illnesses: prevalence in Veterans Affairs health record data.

STUDY OBJECTIVES: This study aimed to estimate the 12-month prevalence of diagnosed sleep disorders among veterans with and without serious mental illnesses (SMI) in Veterans Affairs health record data in 2019. We also examined diagnosed sleep disorders across a 9-year period and explored associations with demographic and health factors. METHODS: This study used health record data from VISN 4 of the Veterans Health Administration from 2011 to 2019. SMI diagnoses included schizophrenia and bipolar spectrum diagnoses as well as major depression with psychosis. Sleep diagnoses included insomnias, hypersomnias, sleep-related breathing disorders, circadian rhythm sleep-wake disorders, and sleep-related movement disorders. Demographic and health-related factors were also collected from the record. RESULTS: In 2019, 21.8% of veterans with SMI were diagnosed with a sleep disorder. This is a significantly higher proportion than for veterans without SMI, 15.1% of whom were diagnosed with a sleep disorder. Sleep disorder rates were highest in veterans with a chart diagnosis of major depression with psychosis. From 2011 to 2019, the overall prevalence of sleep disorders in veterans with SMI more than doubled (10.2%-21.8%), suggesting improvements in the detection and diagnosis of sleep concerns for this group. CONCLUSIONS: Our findings suggest that identification and diagnosis of sleep disorders for veterans with SMI has improved over the past decade, though diagnoses still likely underrepresent actual prevalence of clinically relevant sleep concerns. Sleep concerns may be at particularly high risk of going untreated in veterans with schizophrenia-spectrum disorders. CITATION: Bonfils KA, Longenecker JM, Soreca I, et al. Sleep disorders in veterans with serious mental illnesses: prevalence in Veterans Affairs health record data. J Clin Sleep Med. 2023;19(9):1651-1660.

Veterans' experiences with and perspectives on insomnia treatment: A qualitative study.

Qualitative interviews were conducted with veterans to understand their experiences and perceptions about insomnia and its treatment, with a focus on cognitive-behavioral therapy for insomnia (CBT-I) and brief behavioral treatment for insomnia (BBTI). There is a lack of knowledge about veterans' understanding of this prevalent disorder, yet their experiences and perceptions can influence treatment delivery and treatment outcomes. The Department of Veterans Affairs (VA) can improve insomnia care by considering and responding to this valuable information from veteran stakeholders. Twenty veterans with an insomnia diagnosis or complaint were interviewed about their experiences with insomnia, its treatment, and their preferences for care. Transcripts from the audio-recorded interviews were independently analyzed by 2 coders using content analysis, and discrepancies were resolved through negotiated consensus. The 20 veterans were mostly male (85%), older (60.4 years ± 9.0), and white (60%). Experiences with insomnia and perspectives regarding treatment focused on (a) insomnia symptoms, (b) comorbid symptoms, (c) seeking treatment, (d) intervention experiences, (e) intervention preferences and expectations, and (f) patient attributes. Barriers to care included a lack of knowledge about treatment and a lack of options that fit veterans' preference for delivery. These results provide insight into veterans' experiences with and perspectives on insomnia treatment that is crucial to the support, development, and implementation of interventions. A focus on increasing knowledge of, and expectations for, insomnia treatments as well as offering multiple delivery options has the potential to improve utilization and access to quality insomnia care. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Insomnia and Insomnia-Related Care in the Department of Veterans Affairs: An Electronic Health Record Analysis.

The objective was to examine insomnia and insomnia-related care within a regional network of Department of Veterans Affairs (VA) facilities since the VA roll-out of cognitive behavioral therapy for insomnia (CBT-I) in 2011. A retrospective analysis of VA electronic health records (EHR) data from 2011 to 2019 was conducted. The annual and overall prevalence of four insomnia indicators was measured: diagnoses, medications, consultations for assessment/treatment, and participation in CBT-I. Also examined were sociodemographic and clinical differences among veterans with and without an insomnia indicator, as well as differences among the four individual insomnia indicators. The sample included 439,887 veterans, with 17% identified by one of the four indicators; medications was most common (15%), followed by diagnoses (6%), consults (1.5%), and CBT-I (0.6%). Trends over time included increasing yearly rates for diagnoses, consults, and CBT-I, and decreasing rates for medications. Significant differences were identified between the sociodemographic and clinical variables across indicators. An evaluation of a large sample of veterans identified that prescription sleep medications remain the best way to identify veterans with insomnia. Furthermore, insomnia continues to be under-diagnosed, per VA EHR data, which may have implications for treatment consistent with clinical practice guidelines and may negatively impact veteran health.

Multidimensional Sleep Health and Physical Functioning in Older Adults.

Objective: To examine the association between multidimensional sleep health and objective measures of physical functioning in older adults. Method: We conducted a secondary analysis of 158 adults ≥65 years who participated in Midlife in the United States (MIDUS) 2 and MIDUS Refresher studies. Physical functioning was assessed using gait speed during a 50-foot timed walk, lower extremity strength via chair stand test, and grip strength via hand-held dynamometers. Composite multidimensional sleep health scores were derived from 1 week of sleep diaries and wrist actigraphy. Results: Multiple linear regression was used to examine the associations between multidimensional sleep health and physical functioning measures. In adjusted regression analyses, multidimensional sleep health was significantly positively associated with gait speed but not lower extremity strength or grip strength. Discussion: These findings suggest multidimensional sleep health may contribute to physical functioning in older adults. Longitudinal examinations are needed to determine the value of multidimensional sleep health as a therapeutic target to optimize physical functioning.

Enhancing behavioral sleep care with digital technology: study protocol for a hybrid type 3 implementation-effectiveness randomized trial.

BACKGROUND: Insomnia affects almost one in four military service members and veterans. The first-line recommended treatment for insomnia is cognitive-behavioral therapy for insomnia (CBTI). CBTI is typically delivered in-person or online over one-to-four sessions (brief versions) or five-to-eight sessions (standard versions) by a licensed doctoral or masters-level clinician with extensive training in behavioral sleep medicine. Despite its effectiveness, CBTI has limited scalability. Three main factors inhibit access to and delivery of CBTI including restricted availability of clinical expertise; rigid, resource-intensive treatment formats; and limited capacities for just-in-time monitoring and treatment personalization. Digital technologies offer a unique opportunity to overcome these challenges by providing scalable, personalized, resource-sensitive, adaptive, and cost-effective approaches for evidence-based insomnia treatment. METHODS: This is a hybrid type 3 implementation-effectiveness randomized trial using a scalable evidence-based digital health software platform, NOCTEM™'s Clinician-Operated Assistive Sleep Technology (COAST™). COAST includes a clinician portal and a patient app, and it utilizes algorithms that facilitate detection of sleep disordered patterns, support clinical decision-making, and personalize sleep interventions. The first aim is to compare three clinician- and system-centered implementation strategies on the reach, adoption, and sustainability of the COAST digital platform by offering (1) COAST only, (2) COAST plus external facilitation (EF: assistance and consultation to providers by NOCTEM's sleep experts), or (3) COAST plus EF and internal facilitation (EF/IF: assistance/consultation to providers by NOCTEM's sleep experts and local champions). The second aim is to quantify improvements in insomnia among patients who receive behavioral sleep care via the COAST platform. We hypothesize that reach, adoption, and sustainability and the magnitude of improvements in insomnia will be superior in the EF and EF/IF groups relative to the COAST-only group. DISCUSSION: Digital health technologies and machine learning-assisted clinical decision support tools have substantial potential for scaling access to insomnia treatment. This can augment the scalability and cost-effectiveness of CBTI without compromising patient outcomes. Engaging providers, stakeholders, patients, and decision-makers is key in identifying strategies to support the deployment of digital health technologies that can promote quality care and result in clinically meaningful sleep improvements, positive systemic change, and enhanced readiness and health among service members. TRIAL REGISTRATION: ClinicalTrials.gov NCT04366284 . Registered on 28 April 2020.

Brief Behavioral Treatment for Insomnia vs. Cognitive Behavioral Therapy for Insomnia: Results of a Randomized Noninferiority Clinical Trial Among Veterans.

The goal of this study was to compare a brief behavioral treatment for insomnia (BBTI), which has fewer sessions (4), shorter duration (<30-45 minutes), and delivers treatment in-person plus phone calls to cognitive behavioral therapy for insomnia (CBTI), which has 5 in-person sessions. The hypothesis was BBTI would be noninferior to CBTI. The Reliable Change Index was used to establish a noninferiority margin (NIM) of 3.43, representing the maximum allowable difference between groups on the pre-post Insomnia Severity Index change (ΔISI). Sixty-three veterans with chronic insomnia were randomized to either BBTI or CBTI and veterans in both groups had significant reductions of their insomnia severity per the ISI and improved their sleep onset latency, total wake time, sleep efficiency, and sleep quality per sleep diaries. While CBTI had a larger pre-post ΔISI, this was not significantly different than ΔISI BBTI and was less than the NIM. However, the 95% confidence interval of the between group pre-post ΔISI extended beyond the NIM, and thus BBTI was inconclusively noninferior to CBTI. Limitations, such as small sample size and high rate of dropout, indicate further study is needed to compare brief, alternative yet complementary behavioral insomnia interventions to CBTI. Still, evidence-based brief and flexible treatment options will help to further enhance access to care for veterans with chronic insomnia, especially in non-mental-health settings like primary care.

Illness narratives and preferences for treatment among older veterans living with treatment-resistant depression and insomnia.

BACKGROUND: Despite the prevalence of comorbid late-life treatmentresistant depression (LLTRD) and insomnia in older adults, there is a gap in the literature describing patient factors, such as patients' beliefs about their illnesses and preferences for treatment, that can facilitate recovery. Therefore, we explored the perceptions and treatment preferences of older veterans with LLTRD and insomnia. METHODS: Semi-structured interviews were completed with 11 older veterans. A thematic analysis of the interviews was conducted. RESULTS: Four main themes were identified: 1. Insomnia and medical problems were considered to be significant contributors to depression, which was defined by low mood and anhedonia; 2. "Overthinking" was thought to be a cause of insomnia; 3. Participants' preference for psychotherapy was driven by their past experiences with therapy; and 4. Participants viewed patient education as a facilitator for compliance. CONCLUSIONS: Older veterans with LLTRD and insomnia have a preference for behavioral interventions. However, they lack knowledge about available treatment options, such as behavioral interventions for sleep that can improve both their sleep and mood while being a good fit with their illness narratives, such as "overthinking." There is a need for patient education, which should be offered early and often during treatment.

Pain Catastrophizing and Arthritis Self-Efficacy as Mediators of Sleep Disturbance and Osteoarthritis Symptom Severity.

OBJECTIVE: Sleep and pain-related experiences are consistently associated, but the pathways linking these experiences are not well understood. We evaluated whether pain catastrophizing and arthritis self-efficacy mediate the association between sleep disturbance and osteoarthritis (OA) symptom severity in patients with knee OA. METHODS: We analyzed cross-sectional baseline data collected from Veterans Affairs (VA) patients enrolled in a clinical trial examining the effectiveness of a positive psychology intervention in managing pain from knee OA. Participants indicated how often in the past two weeks they were bothered by trouble falling asleep, staying asleep, or sleeping too much. We used validated scales to assess the primary outcome (OA symptom severity) and potential mediators (arthritis self-efficacy and pain catastrophizing). To test the proposed mediation model, we used parallel multiple mediation analyses with bootstrapping, controlling for sociodemographic and clinical characteristics with bivariate associations with OA symptom severity. RESULTS: The sample included 517 patients (Mage = 64 years, 72.9% male, 52.2% African American). On average, participants reported experiencing sleep disturbance at least several days in the past two weeks (M = 1.41, SD = 1.18) and reported moderate OA symptom severity (M = 48.22, SD = 16.36). More frequent sleep disturbance was associated with higher OA symptom severity directly (b = 3.08, P <0.001) and indirectly, through higher pain catastrophizing (b = 0.60, 95% confidence interval [CI] = 0.20 to 1.11) and lower arthritis self-efficacy (b = 0.84, 95% CI = 0.42 to 1.42). CONCLUSIONS: Pain catastrophizing and arthritis self-efficacy partially mediated the association between sleep disturbance and OA symptom severity. Behavioral interventions that address pain catastrophizing and/or self-efficacy may buffer the association between sleep disturbance and OA symptom severity.

Brief behavioral treatment for insomnia in older adults with late-life treatment-resistant depression and insomnia: a pilot study.

OBJECTIVE: Brief Behavioral Treatment for Insomnia (BBTI) is an efficacious treatment of insomnia in older adults. Behavioral treatments for insomnia can also improve depression. However, it is unknown if BBTI is feasible or has an effect in patients with insomnia and late-life treatment resistant depression (LLTRD). The aims of this study were two-fold, to test: 1) the feasibility (defined by acceptability and retention rates) of BBTI and 2) the therapeutic potency of BBTI on symptoms of insomnia and depression. METHODS: Eleven older Veterans with LLTRD and insomnia were recruited in a randomized control trial to receive immediate (4-weeks of BBTI followed by 3-weeks of phone call check-ins and a final in-person 8-week assessment) or delayed (3-weeks of treatment as usual [wait-list control] followed by 4-weeks of BBTI and a final in-person 8-week assessment) BBTI. The primary outcome measures included the Patient Health Questionnaire (minus the sleep item) and the Insomnia Severity Index. RESULTS: BBTI was found to be feasible in older Veterans with insomnia and LLTRD; all participants recommended BBTI and retention rates were 90.9%. There was no difference in treatment effect between the immediate BBTI and delayed BBTI groups at week 4. After both groups (immediate and delayed) received BBTI, improvements were seen in both insomnia (d = 1.06) and depression (d = 0.54) scores. CONCLUSIONS: BBTI is a feasible treatment for insomnia in older adults with LLTRD. BBTI may be an effective adjunctive treatment for depression. Larger adequately-powered trials are required to confirm these preliminary findings.

The Intersection of Sleep Apnea and Severe Mental Illness in Veterans.

BACKGROUND: Individuals with serious mental illness (SMI) have a high prevalence of risk factors for sleep apnea, but these risk factors often go unrecognized, partly due to the overlap among sleep apnea, somatic conditions, and symptoms (e.g., obesity, daytime sleepiness), leading to potential under-recognition of sleep apnea in a high-risk population. OBJECTIVE: The objective of our study was to compare sleep apnea prevalence and clinical features among Veterans with and without SMI. METHOD: Data for the current analyses were drawn from an administrative dataset of 33,818 United States Military Veterans with a primary care visit in calendar year 2007. The medical record data included demographic characteristics, and medical, psychiatric, and sleep diagnoses. RESULTS: Veterans with SMI had a significantly higher prevalence of sleep apnea than those without SMI. Younger Veterans with SMI had a higher prevalence of sleep apnea relative to older Veterans with SMI and Veterans with SMI and sleep apnea had a greater number of medical comorbidities than Veterans with SMI and no sleep apnea. CONCLUSION: In a large sample of Veterans, those with SMI were at greater risk of having comorbid sleep apnea. Furthermore, Veterans with comorbid SMI and sleep apnea were at greater risk for increased rates of comorbid medical disorders. Sleep apnea appears to be a key risk factor for increased morbidity in Veterans with an SMI diagnosis, highlighting the importance of treating sleep apnea in a challenging patient population.

Identifying the Demographic and Mental Health Factors That Influence Insomnia Treatment Recommendations Within a Veteran Population.

Objective/Background: Insomnia is a pervasive and costly disorder that is particularly prevalent within the U.S. Veteran population. Although Cognitive Behavioral Therapy for Insomnia (CBT-I) is the recommended first-line treatment for insomnia, high rates of sedative-hypnotic prescribing continue. There is little research investigating the rates and factors impacting insomnia treatment recommendations, both behavioral and pharmacological. Participants: A cohort of 5,254 Veterans referred for either CBT-I or prescribed a sedative-hypnotic medication at a single VA Medical Center composed the group of participants. Methods: The current study evaluated the rates of insomnia treatment recommendations and the extent to which demographic variables, psychiatric disorders, and sleep disorders contributed to referrals for CBT-I or prescriptions for sedative-hypnotic medications within a large administrative data set. Results: Military service-related disability, insomnia diagnosis, and having one or more psychiatric diagnoses were associated with a greater likelihood of receiving a CBT-I referral (alone or in addition to a sedative-hypnotic medication) rather than a sedative-hypnotic prescription alone. A diagnosis of posttraumatic stress disorder was associated with a greater likelihood of receiving a sedative-hypnotic medication alone versus a CBT-I referral. Conclusions: Overall, the findings suggest that sedative-hypnotic medications were overwhelmingly the primary treatment recommendation despite evidence to support CBT-I as the recommended first-line treatment. However, key factors were identified that increased the likelihood of Veterans being referred for CBT-I. Suggestions for better identifying and understanding key factors that impact treatment recommendations are discussed.

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.

A hybrid type I trial to increase Veterans' access to insomnia care: study protocol for a randomized controlled trial.

BACKGROUND: Chronic insomnia is among the most reported complaints of Veterans and military personnel referred for mental health services. It is highly comorbid with medical and psychiatric disorders, and is associated with significantly increased healthcare utilization and costs. Evidence-based psychotherapy, namely Cognitive Behavioral Therapy for Insomnia (CBTI), is an effective treatment and recommended over prescription sleep medications. While CBTI is part of a nationwide rollout in the Veterans Health Administration to train hundreds of providers, access to treatment is still limited for many Veterans due to limited treatment availability, low patient and provider knowledge about treatment options, and Veteran barriers such as distance and travel, work schedules, and childcare. Uptake of a briefer, more primary-care-friendly treatment into routine clinical care in Veterans Affairs (VA) primary care settings, where insomnia is typically first recognized and diagnosed, may effectively and efficiently increase access to effective insomnia interventions and help decrease the risks and burdens related to chronic insomnia. METHODS: This hybrid type I trial is composed of two aims. The first preliminarily tests the clinical non-inferiority of Brief Behavioral Treatment for Insomnia (BBTI) versus the current "gold standard" treatment, CBTI. The second is a qualitative needs assessment, guided by the Consolidated Framework for Implementation Research (CFIR), to identify potential factors that may affect successful implementation and integration of behavioral treatments for insomnia in the primary care setting. To identify potential implementation factors, individual interviews are conducted with the Veterans who participate in the clinical trial, as well as VA primary care providers and nursing staff. DISCUSSION: It is increasingly important to better understand barriers to, and facilitators of, implementing insomnia interventions in order to ensure that Veterans have the best access to care. Furthermore, it is important to evaluate the potential for new avenues of treatment delivery, like BBTI in the primary care setting, which can benefit Veterans who may not have adequate access to specialty mental health providers trained in CBTI. TRIAL REGISTRATION: ClinicalTrials.gov, ID: NCT02724800 . Registered on 31 March 2016.

Recent Developments in the Management of Insomnia in Later Life.

Purpose of review: Insomnia impacts a significant proportion of older adults yet is not an inevitable consequence of aging and is amenable to intervention. The aim of this narrative review is to provide an overview of recent recommendations and empirical findings regarding the management of insomnia in older adults. Recent findings: The treatment of insomnia with cognitive behavioral therapy for insomnia (CBT-I) continues to be empirically supported and the recommended first-line intervention for adults. Accumulating evidence indicates that other non-pharmacological therapies for insomnia, such as mindfulness-based therapies, light therapy, and physical activity interventions, as well as treatment delivered by non-clinician "sleep coaches" also positively impact insomnia symptoms. Finally, recent systematic reviews offer guidelines and recommendations for pharmacological management of insomnia. Summary: CBT-I remains the recommended first-line treatment for insomnia across adult ages. There is a continued need to increase the availability and optimize the delivery of CBT-I and other therapies for older adults with insomnia to maximize treatment benefits. There is also evidence for some benefit of pharmacological agents to treat insomnia; however, these are not without risks, particularly in the geriatric population.