Engaging Stakeholders to Optimize Sleep Disorders' Management in the U.S. Military: A Qualitative Analysis.

INTRODUCTION: Sleep disorders' are highly prevalent among U.S. active duty service members (ADSMs) and present well-documented challenges to military health, safety, and performance. In addition to increased need for sleep medicine services, a major barrier to effective sleep management has been a lack of alignment among patients, health providers, and economic-decision-makers. To address this gap in knowledge, the purpose of the present study was to engage diverse stakeholders vested in improving sleep disorders' management in the military. MATERIALS AND METHODS: We elicited feedback from ADSMs with sleep disorders (five focus group discussion, n = 26) and primary care managers (PCMs) (11 individual semi-structured interview) in two military treatment facilities (MTFs) in the National Capitol Region, in addition to national level military and civilian administrative stakeholders (11 individual semi-structured interview) about their experiences with sleep disorders' management in U.S. MTFs, including facilitators and barriers for reaching a definitive sleep diagnosis, convenience and effectiveness of sleep treatments, and key desired outcomes from interventions designed to address effectively sleep disorders in the U.S. military health care system (MHS). Recordings from focus groups and semi-structured interviews were transcribed verbatim and analyzed using QSR International's NVivo 12 software using inductive thematic analysis. The study was approved by Walter Reed National Military Medical Center Department of Research Programs. RESULTS: Active duty service members with sleep disorders often fail to recognize their need for professional sleep management. Whereas PCMs identified themselves as first-line providers for sleep disorders in the military, patients lacked confidence that PCMs can make accurate diagnoses and deliver effective sleep treatments. Active duty service members cited needs for expeditious treatment, educational support and care coordination, and support for obtaining sleep treatments during deployment. Challenges that PCMs identified for effective management include insufficient time during routine care visits, delays in scheduling testing procedures, and limited number of sleep specialists. Primary care managers suggested offering evidence-based telehealth tools and enhanced care coordination between PCMs and specialists; standardized medical education, materials, and tools; patient preparation before appointments; self-administered patient education; and including behavioral sleep specialists as part of the sleep management team. For administrative stakeholders, key outcomes of enhanced sleep management included (1) improved resource allocation and cost savings, and (2) improved ADSM safety, productivity, and combat effectiveness. CONCLUSION: Current military sleep management practices are neither satisfactory nor maximally effective. Our findings suggest that solving the military sleep problem will require sustained effort and ongoing collaboration from ADSM patients, providers, and health systems leaders. Important potential roles for telehealth and technology were identified. Future research should seek to enhance implementation of sleep management best practices to improve outcomes for patients, providers, MHS, and the military as a whole.

Diagnosed or prescribed only? A national analysis of initial evaluation and management of insomnia among older adult Medicare beneficiaries.

Study Objectives: To describe initial insomnia-related encounters among a national sample of Medicare beneficiaries, and to identify older adults at risk for potentially inappropriate prescription insomnia medication usage. Methods: Our data source was a random 5% sample of Medicare administrative claims data (2006-2013). Insomnia was operationalized as International Classification of Disease, Ninth Revision, Clinical Modification diagnostic codes. Insomnia medications included FDA-approved insomnia-related medication classes and drugs. Logistic regression was employed to identify predictors of being "prescribed only" (i.e., being prescribed an insomnia medication without a corresponding insomnia diagnosis). Results: A total of N = 60 362 beneficiaries received either an insomnia diagnosis or a prescription for an insomnia medication as their first sleep-related encounter during the study period. Of these, 55.1% (n = 33 245) were prescribed only, whereas 44.9% (n = 27 117) received a concurrent insomnia diagnosis. In a fully adjusted regression model, younger age (odds ratio (OR) 0.98; 95% confidence interval (CI) 0.98, 0.99), male sex (OR 1.15; 95% CI 1.11, 1.20), and several comorbid conditions (i.e., dementia [OR 1.21; 95% CI 1.15, 1.27] and anemia [OR 1.17; 95% CI 1.13, 1.22]) were positively associated with being prescribed only. Conversely, black individuals (OR 0.83; 95% CI 0.78, 0.89) and those of "other" race (OR 0.89; 95% CI 0.84, 0.94) were less likely to be prescribed only. Individuals who received care from a board-certified sleep medicine provider (BCSMP) were less likely to be prescribed only (OR 0.27; 95% CI 0.16, 0.46). Conclusions: Fewer than half of Medicare beneficiaries prescribed insomnia medications ever received a formal sleep-related diagnosis.

Which older adults receive sleep medicine specialty care? Predictors of being seen by a board-certified sleep medicine provider.

STUDY OBJECTIVES: The aim of this study was to characterize older adult Medicare beneficiaries seen by board-certified sleep medicine providers (BCSMPs) and identify predictors of being seen by a BCSMP. METHODS: Our data source was a random 5% sample of Medicare administrative claims data (2006-2013). BCSMPs were identified using a cross-matching procedure based on national provider identifiers available within the Medicare database and assigned based on the first sleep disorder diagnosis received. Sleep disorders (insomnia, sleep-related breathing disorders, hypersomnias, circadian rhythm sleep-wake disorders, parasomnias, and restless legs syndrome) were operationalized as International Classification of Disease, Ninth Revision, Clinical Modification diagnostic codes. The number of sleep disorders per beneficiary was computed and compared between BCSMPs and nonspecialists. Logistic regression was used to identify medical and demographic predictors of being seen by a BCSMP. RESULTS: A total of 57,209 beneficiaries received one or more sleep disorder diagnoses during the study period. Of these, 1,279 (2.2%) were initially diagnosed by a BCSMP. Relative to individuals seen by nonspecialists, beneficiaries treated by a BCSMP were more likely to have two or more sleep disorders (9.0% vs 24.1%, P < .001). The most common diagnosis assigned by BCSMPs was obstructive sleep apnea (70.4% of patients seen by BCSMPs were diagnosed with obstructive sleep apnea). The most common diagnosis assigned by nonspecialists was insomnia (48.2% of patients seen by nonspecialists were diagnosed with insomnia). In a fully adjusted regression model, male sex (odds ratio [OR] 1.53; 95% confidence interval [CI] 1.36, 1.72), asthma (OR 1.50; 95% CI 1.30, 1.73), and heart failure (OR 1.24; 95% CI 1.10, 1.41) were positively associated with being treated by a BCSMP. Conversely, depression (OR 0.85, 95% CI 0.73, 1.00), anxiety (OR 0.69, 95% CI .59, .82), Alzheimer and related dementias (OR 0.80, 95% CI .65, .99), and anemia (OR .88, 95% CI .78, .99) were associated with a reduced likelihood of being seen by a BCSMP. CONCLUSIONS: Relative to older adults seen by nonspecialists, those seen by BCSMPs are more medically but less psychiatrically complex and are diagnosed with a greater number of sleep disorders. These results suggest the possibility that medically complex patients are referred for specialty care, whereas psychiatrically complex patients might be seen at the nonspecialist level. Further, these results demonstrate the value of board certification in sleep medicine in caring for complex sleep patients.

Lower socioeconomic status and co-morbid conditions are associated with reduced continuous positive airway pressure adherence among older adult medicare beneficiaries with obstructive sleep apnea.

STUDY OBJECTIVES: To examine rates of adherence to continuous positive airway pressure (CPAP) therapy among a representative sample of older adult Medicare beneficiaries with obstructive sleep apnea (OSA), and to identify demographic and health-related factors associated with CPAP adherence. METHODS: Using a 5% sample of Medicare claims data, we utilized Medicare policy and CPAP machine charges as a proxy for CPAP adherence. A cumulative logit model was used to identify demographic, medical, and psychiatric predictors of CPAP adherence status. RESULTS: Of beneficiaries who initiated CPAP (n = 3,229), 74.9% (n = 2,417) met the so-called "90-day Medicare adherence criteria," but only 58.8% of these individuals (n = 1,420) continued to use CPAP throughout the entire 13-month rent-to-own period. Anxiety, anemia, fibromyalgia, traumatic brain injury, and lower socioeconomic status (SES) were all associated with reduced CPAP adherence. CONCLUSIONS: These results provide the first national estimates of CPAP adherence among older adult Medicare beneficiaries in the United States. In addition, findings highlight the salience of medical and psychiatric comorbidity, as well as SES, as important markers of CPAP adherence among older adults in the United States. Future studies should seek to evaluate interventions to improve CPAP adherence among older adults of lower SES.

Mental Health Consequences of Shift Work: An Updated Review.

PURPOSE OF REVIEW: Approximately 25% of employed individuals engage in shift work, which can substantially alter opportunities for restorative sleep. Being tired on the job can lead to safety risks in professions such as healthcare, first responders, manufacturing, and numerous others. In addition to the physical stress and health consequences of shift work, recent evidence links shift work to poor mental health outcomes. The current review examines the literature from 2016 onward, emphasizing the impact of shift work on mental health. RECENT FINDINGS: Shift work is associated with considerable impacts on sleep, depressed mood and anxiety, substance use, impairments in cognition, lower quality of life, and even suicidal ideation. Pronounced sleep disturbances frequently underlie the mental health consequences of shift work. Shift work can have physical, mental health, and safety consequences. Future research should aim to better understand the interplay of shift work, sleep, and mental health and seek to mitigate the adverse consequences of shift work.