Quality improvement and practice-based research in sleep medicine using structured clinical documentation in the electronic medical record.

BACKGROUND: We developed and implemented a structured clinical documentation support (SCDS) toolkit within the electronic medical record, to optimize patient care, facilitate documentation, and capture data at office visits in a sleep medicine/neurology clinic for patient care and research collaboration internally and with other centers. METHODS: To build our SCDS toolkit, physicians met frequently to develop content, define the cohort, select outcome measures, and delineate factors known to modify disease progression. We assigned tasks to the care team and mapped data elements to the progress note. Programmer analysts built and tested the SCDS toolkit, which included several score tests. Auto scored and interpreted tests included the Generalized Anxiety Disorder 7-item, Center for Epidemiological Studies Depression Scale, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Insomnia Severity Index, and the International Restless Legs Syndrome Study Group Rating Scale. The SCDS toolkits also provided clinical decision support (untreated anxiety or depression) and prompted enrollment of patients in a DNA biobank. RESULTS: The structured clinical documentation toolkit captures hundreds of fields of discrete data at each office visit. This data can be displayed in tables or graphical form. Best practice advisories within the toolkit alert physicians when a quality improvement opportunity exists. As of May 1, 2019, we have used the toolkit to evaluate 18,105 sleep patients at initial visit. We are also collecting longitudinal data on patients who return for annual visits using the standardized toolkits. We provide a description of our development process and screenshots of our toolkits. CONCLUSIONS: The electronic medical record can be structured to standardize Sleep Medicine office visits, capture data, and support multicenter quality improvement and practice-based research initiatives for sleep patients at the point of care.

Traumatic brain injury-induced sleep disorders.

Sleep disturbances are frequently identified following traumatic brain injury, affecting 30%-70% of persons, and often occur after mild head injury. Insomnia, fatigue, and sleepiness are the most frequent sleep complaints after traumatic brain injury. Sleep apnea, narcolepsy, periodic limb movement disorder, and parasomnias may also occur after a head injury. In addition, depression, anxiety, and pain are common brain injury comorbidities with significant influence on sleep quality. Two types of traumatic brain injury that may negatively impact sleep are acceleration/deceleration injuries causing generalized brain damage and contact injuries causing focal brain damage. Polysomnography, multiple sleep latency testing, and/or actigraphy may be utilized to diagnose sleep disorders after a head injury. Depending on the disorder, treatment may include the use of medications, positive airway pressure, and/or behavioral modifications. Unfortunately, the treatment of sleep disorders associated with traumatic brain injury may not improve neuropsychological function or sleepiness.

Sleep and comorbid neurologic disorders.

PURPOSE OF REVIEW: An understanding of the impact of sleep on neurologic disorders, and the impact of neurologic disorders on sleep, provides fresh opportunities for neurologists to improve the quality of life and functioning of their patients. RECENT FINDINGS: Sleep-disordered breathing (SDB) is a risk factor for cerebrovascular disease and should be considered in all TIA and stroke patients. Sleep disorders can amplify nociception and worsen headache disorders; and some headaches, including those related to SDB and hypnic headache, are sleep specific. REM sleep behavior disorder may be an early sign of neurodegenerative disease. Focal lesions of almost any etiology (eg, multiple sclerosis and CNS malignancies) in the hypothalamus, basal forebrain, or brainstem may result in sleep disturbance, sleepiness, and insomnia. Sleep-related hypoventilation and fatigue are common in neuromuscular disease. SDB and epilepsy are mutually facilitatory, and poor sleep can exacerbate epilepsy. SUMMARY: Continued surveillance for sleep disorders by neurologists is rewarded by new treatment avenues in their patients with the possibility of improved clinical outcomes.

Traumatic brain injury and sleep disorders.

Sleep disturbance is common after traumatic brain injury (TBI). Insomnia, fatigue, and sleepiness are the most frequent post-TBI sleep complaints with narcolepsy (with or without cataplexy), sleep apnea (obstructive or central), periodic limb movement disorder, and parasomnias occurring less commonly. In addition, depression, anxiety, and pain are common TBI comorbidities with substantial influence on sleep quality. Diagnosis of sleep disorders after TBI may involve polysomnography, multiple sleep latency testing, or actigraphy. Treatment is disorder-specific and includes the use of medications, continuous positive airway pressure, or behavioral modifications. Unfortunately, treatment of sleep disorders associated with TBI often does not improve sleepiness or neuropsychologic function.

High prevalence of restless legs syndrome among patients with fibromyalgia: a controlled cross-sectional study.

STUDY OBJECTIVES: To investigate the prevalence of restless legs syndrome (RLS) in fibromyalgia (FM) and determine the presence and amount of sleep disruption in FM patients with RLS. RLS and FM have been associated in uncontrolled studies using a variety of RLS definitions. We explored this relationship using a cross-sectional study design. METHODS: FM cases that met the American College of Rheumatology diagnostic criteria were recruited through an academic referral clinic and advertising. Pain- and fatigue-free controls were recruited from the Seattle metropolitan area. We enrolled 172 FM patients (mean age 50 years, 93% female) and 63 pain- and fatigue-free controls (mean age 41 years, 56% female). RLS was ascertained by a self-administered validated diagnostic interview. RESULTS: The age- and gender-adjusted prevalence of RLS was higher in the FM group than the control group (33.0%; 95% CI: 25.9, 40.1 vs. 3.1%; 95% CI: 0.0, 7.4; p = 0.001). Likewise, the FM group was more likely to report RLS (OR = 11.7; 95% CI: 2.6, 53.0), even after adjusting for age and gender. The mean Pittsburgh Sleep Quality Index score was higher among FM patients with RLS than those without (11.8 vs. 9.9; p = 0.01) but subjective limb pain measures did not differ between these 2 groups. CONCLUSIONS: There is a higher prevalence and odds of RLS in those with FM compared to controls. Clinicians should routinely query FM patients regarding RLS symptoms because treatment of RLS can potentially improve sleep and quality of life in these patients.