BACKGROUND: Clinical outcomes data are playing an increasingly important role in medical decision-making, reimbursement, and provider evaluation, but there are no documented programs that provide outcomes data to surgical residents as part of a structured curriculum. Our objectives were to develop a national collaborative of training programs to unify the efforts between quality and education personnel and demonstrate the feasibility of generating customized reports of patient outcomes for use in surgical education. STUDY DESIGN: The pool of potential hospitals was evaluated by comparing ACS NSQIP participants with the roster of clinical sites for general surgery residency programs maintained by FREIDA Online. A program and user guide was developed to generate custom reports based on institutional data, and a voluntary pilot was conducted, consisting of initial development, implementation, and feedback stages. Programs that successfully completed installation and report generation were queried for feedback on time and resources used. RESULTS: Of 245 general surgery residency programs, 47% had a NSQIP-affiliated sponsor institution, and an additional 31% had at least 1 NSQIP-affiliated participant institution. Sixty general surgery residency programs have expressed interest in collaboration. Seventeen pilot sites completed training and installation, and were able to independently generate custom reports. The response rate for the post-report survey was 50%. Participants reported that training and installation typically required one 2-hour phone call, and that total time devoted to the project was less than 8 hours. CONCLUSIONS: Collaboration between educators and quality improvement personnel from a diverse group of organizations to integrate outcomes data into surgical education is feasible. Obtaining resident and team reports from ACS NSQIP can be done with minimal effort. Future efforts will be aimed at developing a national data-centered curriculum for general surgery programs.
BACKGROUND: Clinical outcomes data are playing an increasingly important role in medical decision-making, reimbursement, and provider evaluation, but there are no documented programs that provide outcomes data to surgical residents as part of a structured curriculum. Our objectives were to develop a national collaborative of training programs to unify the efforts between quality and education personnel and demonstrate the feasibility of generating customized reports of patient outcomes for use in surgical education. STUDY DESIGN: The pool of potential hospitals was evaluated by comparing ACS NSQIP participants with the roster of clinical sites for general surgery residency programs maintained by FREIDA Online. A program and user guide was developed to generate custom reports based on institutional data, and a voluntary pilot was conducted, consisting of initial development, implementation, and feedback stages. Programs that successfully completed installation and report generation were queried for feedback on time and resources used. RESULTS: Of 245 general surgery residency programs, 47% had a NSQIP-affiliated sponsor institution, and an additional 31% had at least 1 NSQIP-affiliated participant institution. Sixty general surgery residency programs have expressed interest in collaboration. Seventeen pilot sites completed training and installation, and were able to independently generate custom reports. The response rate for the post-report survey was 50%. Participants reported that training and installation typically required one 2-hour phone call, and that total time devoted to the project was less than 8 hours. CONCLUSIONS: Collaboration between educators and quality improvement personnel from a diverse group of organizations to integrate outcomes data into surgical education is feasible. Obtaining resident and team reports from ACS NSQIP can be done with minimal effort. Future efforts will be aimed at developing a national data-centered curriculum for general surgery programs.
Authors: Michael P Kucharik; Nathan H Varady; Matthew J Best; Samuel S Rudisill; Sara A Naessig; Christopher T Eberlin; Scott D Martin Journal: JSES Int Date: 2021-11-15
Authors: Allison R Dahlke; Jeanette W Chung; Jane L Holl; Clifford Y Ko; Ravi Rajaram; Lynn Modla; Martin A Makary; Karl Y Bilimoria Journal: J Am Coll Surg Date: 2013-11-27 Impact factor: 6.113