Sleep Specialty Consultation: Improving Management of Sleep Disorders

• Provider Adherence to Sleep Specialist Recommendations [ Time Frame: 10 months after baseline ]
  Provider outcomes included the provider's number of participant sleep lab referrals, referrals to other specialty clinics for evaluation/treatment participant sleep problems, and presence of newly initiated sleep-focused therapies for participants. Information about these outcomes was obtained via review of provider orders and information included in notes entered into the VA's computerized medical record system (CPRS). To quantify this outcome, the number of participants referred by providers for sleep-focused diagnostic tests and interventions was compared across arms.
  
  
• Diary Sleep: Total Wake Time and Total Sleep Time [ Time Frame: 10 months ]
  Changes in sleep from baseline to subsequent follow-up periods were evaluated using both actigraphy and electronic diaries via a personal digital assistant (PDA). Primary outcome measures derived from the PDA included total sleep time (TST), total wake time (TWT: SOL+WASO), and sleep efficiency (SE). Wrist Actigraphy. Mini-Mitter® Actiwatch actigraphs were used to derive the primary objective estimates of TST, TWT, and SE. Mean values of TST, TWT and SE were obtained for each participant at baseline, 5 months and 10 months post-randomization and served as the actigraphic dependent measures in study analyses.
  
  
• Sleep Efficiency [ Time Frame: 10 Months after Baseline ]
  Changes in sleep from baseline to subsequent follow-up periods were evaluated using both actigraphy and electronic diaries via a personal digital assistant (PDA). Primary outcome measures derived from the PDA included total sleep time (TST), total wake time (TWT: SOL+WASO), and sleep efficiency (SE). Wrist Actigraphy. Mini-Mitter® Actiwatch actigraphs were used to derive the primary objective estimates of TST, TWT, and SE. Mean values of TST, TWT and SE were obtained for each participant at baseline, 5 months and 10 months post-randomization and served as the actigraphic dependent measures in study analyses.
  
  
• Sleep Quality [ Time Frame: 10 Months ]
  Changes in overall sleep quality were evaluated using the Pittsburgh Sleep Quality Index (PSQI). The PSQI is a self-rating scale that yields a quantitative index of general sleep quality/disturbances. The PSQI is composed of 4 open-ended questions and 19 self-rated items (0-3 scale) assessing sleep quality and disturbances over a 1-month interval. The PSQI yields a global score of sleep quality ranging from 0 to 21. A score of <= 5 on the PSQI is considered normal sleep quality.
  
  

• Sleepiness [ Time Frame: 10 months ]
  Changes in subjectively assessed daytime sleep propensity were measured using the Epworth Sleepiness Scale (ESS), a commonly employed in both sleep research and clinical applications. The ESS items inquire about the chance of dozing off in each 8 different situations. Responses are rated on a 4 point scale reflecting the respondents perceived likelihood of falling asleep. To quanitfy this outcome, the percentage of participants achieving normal sleep (less than 10 on ESS) was compared across arms at 10 months.
  
  

Sleep disorders are prevalent health problems that reduce quality of life, increase risks for medical disease, and enhance healthcare costs/utilization. Only a small proportion of these cases are diagnosed in primary care. Pilot data from this VA suggest that sleep disorders are not adequately managed in a primary care setting: 33% of veterans with an insomnia complaint had an undiagnosed primary sleep disorder (e.g., sleep apnea), and 50% of these patients were prescribed pharmacologic treatment for insomnia by their primary care providers. This project tests the incremental benefits of adding a one-time sleep specialty consultation (SSC) to usual primary care for reducing sleep disturbance, diurnal dysfunction, quality of life concerns and health care utilization among veterans enrolled in the DVAMC Primary Care Clinics. The SSC will consist of: (1) a thorough sleep disorders evaluation accomplished via a clinician-administered structured interview designed to assess specific symptoms of global sleep disorder categories, review of a sleep history questionnaire, and review of available (CPRS) medical/psychiatric electronic records; (2) education about the specific sleep disorders diagnoses and relevant treatment recommendations provided to the patients; and (3) standardized diagnostic information and treatment recommendations provided to the participants' primary care providers. Study hypotheses predict that patients who receive an SSC with feedback to their primary care providers will show greater improvements in sleep, mood, quality of life, and patient satisfaction, as well as larger reductions in health care utilization than will those who receive usual care alone. This is a randomized, wait-list control, clinical intervention study of 300 veterans with sleep complaints. Eligibility criteria include: sleep complaint for > 1 month duration, Pittsburgh Sleep Quality Index score > 5; mental status score > 24 on Folstein MMSE, no unstable medical or psychiatric disorder, and approval of primary provider. The SSC intervention consists of a clinician-administered structured interview assessing sleep pathology, plus manualized feedback to patients and primary care providers. Participants are randomly assigned to SSC or Wait List Control (WLC) conditions. Measures of sleep, mood, quality of life, and patient satisfaction are obtained at enrollment and at 5- and 10-month follow-up. Computerized utilization data is obtained for the 10 months prior to and 10 months following enrollment. A series of multivariate and univariate statistical tests will be conducted.

Study findings should provide important new information about managing both the sleep problems and overall health care utilization patterns of patients with sleep complaints presenting in VA primary care settings. If SSC-evaluated patients show substantial reductions in their VA inpatient/outpatient utilization, this finding could have important cost-saving implications to the VA system.