Are Orthopedic Fellowship Programs Giving Out Too Many Interviews? A Retrospective Analysis Suggests They Are.

The orthopedic surgery fellowship match process is associated with substantial stress and expense, yet the optimal number of interviews for fellowships to offer has not been evaluated. : We sought to evaluate the number of orthopedic surgery fellowship interviews given and construct a model to determine the appropriate number of interviews to offer based on specialty and program size. : We conducted a retrospective study of 6 orthopedic fellowship specialties; data were obtained from San Francisco Match and covered the 5-year period from 2014 to 2018. The orthopedic fellowship subspecialties included adult reconstruction/oncology, foot and ankle, pediatrics, spine, sports medicine, and trauma. We excluded shoulder and elbow (less than 5 years of data) and hand and upper extremity (alternative matching process). Parameters included number of programs, number of spots per program, number of ranked applicants per program (mean ± SD), and difference in number of interviews offered and ranked applicants per program (mean ± SD). Multiple regression analysis was used to create an equation for determining the optimal number of interviews for the programs. : Of 1377 orthopedic fellowship programs analyzed, 1370 (99.50%) conducted interviews beyond the number of ranked applicants. Programs ranked an overall mean of 20.10 ± 10.17 applicants with an overall mean of 11.60 ± 8.62 additional interviews offered. Sports medicine had the highest mean ranked applicants (23.21 ± 9.77) and pediatrics had the lowest mean ranked applicants (15.74 ± 7.76). The most additional interviews were given in adult reconstruction (14.80 ± 9.92) and the least were given in pediatrics (8.32 ± 7.17). The predictive equation was reported as Y = βx1 + βx2 (Y = ranked applicants, x1 = spots open, and x2 = last rank). : Programs in 6 orthopedic subspecialties in the fellowship match process appear to consistently offer more interviews than necessary. We have developed a model to help programs predict the optimal number of fellowship applicants to interview. Future studies need to validate the model, especially with anticipated increases of the virtual interview format.