Abstract
B. Clinical Sleep Science and Practice XI. Healthcare Delivery and Education and after the intervention in the entire cohort. Correlations identified the factors associated with improved screening rates. Results: Thirty and 23 subjects completed the study and SQ, respectively. The average age was 30.4 (standards deviation [SD]= 3.1) with 53% female and practice experience of 2.5 years (SD=1.7) with 60% P, 23.3% N and 16.7% IM participants. There were no significant differences in the characteristics, and knowledge and screening rate change after the intervention between the two groups. However, for individual questions, the oral presentation group had improved knowledge about sleep disorders in epilepsy. The study improved knowledge by 82% for understanding, 77% for managing and 79% for screening for sleep disorders. Knowledge (Mean Difference [MD]= 0.22, p=0.0001) and screening rates (MD=0.29, p=0.001) improved significantly after the intervention in the entire cohort. The improvement in screening rates was associated with presence of screening by the physicians prior to the intervention (r=0.5, p=0.008). Conclusion: The study showed that sleep education improved knowledge and screening for sleep disorders among physicians. Introduction: Sleep study volume in our system has increased by 23% from 2017 to 2019 which makes unfilled sleep beds a significant concern. Cancellation rate impacts our sleep bed access. We hypothesized cancellation can be improved through quality improvement process which could ultimately lead to improve patient satisfaction. Methods: A multidisciplinary team was assembled to examine potential contributing factors. Using the Model for Improvement we developed, tested and implemented interventions using tools such as PDSA cycles, process map and a simplified FMEA (Failure Modes and Effects Analysis). A Key Driver Diagram helped guide our journey to improve the cancellation rate. We developed a Parent Advisory Group to help us with ideas to identify how we could improve the cancellation rate. Results: The cancellation was 21% prior to the implementation of our interventions. To improve these measures, we have implemented several interventions. The content of our sleep study preparation handbook was improved, increased distribution of the education handbook and developed a series of sleep study videos which are available for viewing prior to the study to prepare patients and families. In addition, we standardized our process of reminder calls in the call center and sleep lab by defining roles and responsibilities. This improved our ability to answer questions and identify and mitigate barriers they may have. We implemented transportation assistance to patients who have transportation barriers and created a waitlist protocol to assist families with a preferred date. After 2 years of interventions, the cancellation rate has decreased from 21% to 14.7%. Interestingly, as we improved our cancellation rate, the overall patient satisfaction has been improved from 83% to 88%. Conclusion: Using the Model for Improvement, we improved education, communication and scheduling processes, which has reduced cancellation rate and consequently improved patient satisfaction.
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CITATION STYLE
Klingman, K. J., Morse, A., Williams, N., Grandner, M. A., & Perlis, M. L. (2020). 1174 Assessing Sleep Disorders in Primary Care: A Provider Survey About the Importance of Sleep Health. Sleep, 43(Supplement_1), A448–A448. https://doi.org/10.1093/sleep/zsaa056.1168
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