PURPOSE: Obstructive sleep apnea (OSA) is a breathing disorder found in surgical patients and associated with complications in the postoperative period. The implementation of a preoperative universal screening process using the STOP-BANG questionnaire to identify patients at high risk for OSA provides opportunities for improved management. DESIGN: A pre-post design was used to evaluate screening compliance rates. METHODS: This initiative included staff education, which included the process for evaluating and documenting STOP-BANG scores. The data were collected via a chart review of the electronic medical record (EMR). FINDINGS: The rate of screening for OSA doubled after implementation of this initiative, and compliance with STOP-BANG questionnaire screening was 66.1%. High-risk designation in the EMR was 73.0%. Nearly half of the patients screened were found to be at high risk for OSA. CONCLUSIONS: Implementation of a universal screening initiative for patients and design for the EMR improves compliance with screening and identification of patients at high risk for OSA.
PURPOSE: Obstructive sleep apnea (OSA) is a breathing disorder found in surgical patients and associated with complications in the postoperative period. The implementation of a preoperative universal screening process using the STOP-BANG questionnaire to identify patients at high risk for OSA provides opportunities for improved management. DESIGN: A pre-post design was used to evaluate screening compliance rates. METHODS: This initiative included staff education, which included the process for evaluating and documenting STOP-BANG scores. The data were collected via a chart review of the electronic medical record (EMR). FINDINGS: The rate of screening for OSA doubled after implementation of this initiative, and compliance with STOP-BANG questionnaire screening was 66.1%. High-risk designation in the EMR was 73.0%. Nearly half of the patients screened were found to be at high risk for OSA. CONCLUSIONS: Implementation of a universal screening initiative for patients and design for the EMR improves compliance with screening and identification of patients at high risk for OSA.
Authors: Andrew M Namen; Daniel Forest; Amit K Saha; Kang Rui Xiang; Kelly Younger; Sarah Ellen E Stephens; Sheila Maurer; Arjun B Chatterjee; Alexander Sy; Cormac O'Donovan; Sandhya Kumar; Clark Pinyan; Ronald Carroll; Stephen P Peters; Edward F Haponik Journal: J Clin Sleep Med Date: 2022-08-01 Impact factor: 4.324
Authors: Demetrius M Maraganore; Thomas Freedom; Kelly Claire Simon; Lori E Lovitz; Camelia Musleh; Richard Munson; Nabeela Nasir; Smita Patel; Joya Paul; Mari Viola-Saltzman; Steven Meyers; Richard Chesis; Laura Hillman; Samuel Tideman; Anna Pham; Rosa Maria Vazquez; Roberta Frigerio Journal: Sleep Sci Pract Date: 2020-01-02