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Implementing a Clinical iPad Application to Detect Sleep Disorders is Feasible Across Multiple Non-Sleep Outpatient Clinics (P7.321)

2015; Lippincott Williams & Wilkins; Volume: 84; Issue: 14_supplement Linguagem: Inglês

10.1212/wnl.84.14_supplement.p7.321

1526-632X

Ankur M. Doshi, Charlene E. Gamaldo, Aadi Kalloo, Rebecca Choi, Rachel Marie E. Salas,

Sleep and related disorders

OBJECTIVE: To assess the feasibility of implementing an iPad App to detect sleep disorders in various non-sleep clinics. BACKGROUND: Despite the prevalence of sleep disorders and chronic sleep deprivation, up to 70 million Americans remain undiagnosed, misdiagnosed, or untreated due to low awareness among the general population and limited sleep medicine exposure for healthcare providers. DESIGN/METHODS: MySleepScript is a clinical iPad App developed to allow providers to screen for sleep disorders in their patients. MySleepScript uses standardized sleep questionnaires to calculate a “level of concern” and provide suggested referrals. Using satisfaction surveys, we sought to determine the feasibility of implementing MySleepScript into clinics. The app was conducted in 5 Johns Hopkins outpatient clinics (Urology, Neuroinfectious Disease, Transverse Myelitis, Headache, Multiple Sclerosis) from 07/2014-10/2014. Patients answered questions on the app regarding sleep habits, behaviors, and environment during intake. Upon completion, the PSQI and “level of concern” were explained to the patient and forwarded to the provider. Patients were then asked to complete satisfaction surveys. Descriptive statistics were used to analyze the satisfaction surveys. RESULTS: Of 37 patients enrolled, 71[percnt] were men, 58[percnt] Caucasian, and 80[percnt] were follow-up. 50[percnt] completed the app within 15 minutes (77[percnt] within 20 minutes). Positive results were collapsed based on responses of strongly agree or agree. 92[percnt] of patients found the app easy to use, 76[percnt] preferred the app platform to paper, 71.4[percnt] felt the app enhanced communication regarding sleep, and 77[percnt] found the output to be helpful. 85[percnt] of patients recommend that their provider continue using the app. No difference was found among clinics with respect to time or satisfaction. CONCLUSIONS: This pilot demonstrates the utility and feasibility of a mobile health sleep-screening tool conducted across a diverse patient population with uniform demonstration of increased overall patient satisfaction. Study Supported by: JHU Center for Behavioral Health Disclosure: Dr. Doshi has nothing to disclose. Dr. Gamaldo has nothing to disclose. Dr. Kalloo has nothing to disclose. Dr. Choi has nothing to disclose. Dr. Salas has nothing to disclose.