Andrew Reisner1, Thomas G Burns2, Larry B Hall3, Shabnam Jain4, Brad C Weselman5, Ton J De Grauw4, Kim E Ono2, Laura S Blackwell2, Joshua J Chern3. 1. Department of Neurosurgery, Children's Healthcare of Atlanta, Atlanta, GA; Department of Pediatrics, Emory University and Children's Healthcare of Atlanta, Atlanta, GA. Electronic address: Andrew.Reisner@choa.org. 2. Department of Neuropsychology, Children's Healthcare of Atlanta, Atlanta, GA. 3. Department of Neurosurgery, Children's Healthcare of Atlanta, Atlanta, GA. 4. Department of Pediatrics, Emory University and Children's Healthcare of Atlanta, Atlanta, GA. 5. Kids Health First Network, Atlanta, GA.
Abstract
OBJECTIVE: To evaluate the potential impact of a concussion management education program on community-practicing pediatricians. STUDY DESIGN: We prospectively surveyed 210 pediatricians before and 18 months after participation in an evidence-based, concussion education program. Pediatricians were part of a network of 38 clinically integrated practices in metro-Atlanta. Participation was mandatory for at least 1 pediatrician in each practice. We assessed pediatricians' self-reported concussion knowledge, use of guidelines, and comfort level, as well as self-reported referral patterns for computed tomography (CT) and/or emergency department (ED) evaluation of children who sustained concussion. RESULTS: Based on responses from 120 pediatricians participating in the 2 surveys and intervention (response rate, 57.1%), the program had significant positive effects from pre- to postintervention on knowledge of concussions (-0.26 to 0.56 on -3 to +1 scale; P < .001), guideline use (0.73-.06 on 0-6 scale; P < .01), and comfort level in managing concussions (3.76-4.16 on 1-5 scale; P < .01). Posteducation, pediatricians were significantly less likely to self-report referral for CT (1.64-1.07; P < .001) and CT/ED (4.73-3.97; P < .01), but not ED referral alone (3.07-3.09; P = ns). CONCLUSIONS: Adoption of a multifaceted, evidence-based, education program translated into a positive modification of self-reported practice behavior for youth concussion case management. Given the surging demand for community-based youth concussion care, this program can serve as a model for improving the quality of pediatric concussion management.
OBJECTIVE: To evaluate the potential impact of a concussion management education program on community-practicing pediatricians. STUDY DESIGN: We prospectively surveyed 210 pediatricians before and 18 months after participation in an evidence-based, concussion education program. Pediatricians were part of a network of 38 clinically integrated practices in metro-Atlanta. Participation was mandatory for at least 1 pediatrician in each practice. We assessed pediatricians' self-reported concussion knowledge, use of guidelines, and comfort level, as well as self-reported referral patterns for computed tomography (CT) and/or emergency department (ED) evaluation of children who sustained concussion. RESULTS: Based on responses from 120 pediatricians participating in the 2 surveys and intervention (response rate, 57.1%), the program had significant positive effects from pre- to postintervention on knowledge of concussions (-0.26 to 0.56 on -3 to +1 scale; P < .001), guideline use (0.73-.06 on 0-6 scale; P < .01), and comfort level in managing concussions (3.76-4.16 on 1-5 scale; P < .01). Posteducation, pediatricians were significantly less likely to self-report referral for CT (1.64-1.07; P < .001) and CT/ED (4.73-3.97; P < .01), but not ED referral alone (3.07-3.09; P = ns). CONCLUSIONS: Adoption of a multifaceted, evidence-based, education program translated into a positive modification of self-reported practice behavior for youth concussion case management. Given the surging demand for community-based youth concussion care, this program can serve as a model for improving the quality of pediatric concussion management.
Authors: Cheryl K Zogg; R Sterling Haring; Likang Xu; Joseph K Canner; Taylor D Ottesen; Ali Salim; Adil H Haider; Eric B Schneider Journal: Epidemiology Date: 2018-11 Impact factor: 4.822