How important are American Board of Surgery In-Training Examination scores when applying for fellowships?

J Surg Educ

Division of General Surgery, Department of Surgery, Mount Sinai Hospital, New York, New York 10029, USA.

Published: October 2010

Background: The American Board of Surgery In-Training examination (ABSITE) first was administered in 1975 to evaluate a resident's general knowledge as well as the deficiencies within the resident and surgical program. The added importance of this examination in recent years stems from a correlation between ABSITE performance and performance on the American Board of Surgery qualifying examination. However, data are lacking in regard to how fellowship programs view ABSITE scores when considering applicants. Thus, this study was initiated to determine the importance of the ABSITE for surgical residents applying to fellowships.

Study Design: Program coordinators and directors of various surgical fellowships were sent a short survey in regard to the ABSITE. The data then were analyzed.

Results: One hundred forty-eight surveys were completed, with 74.8% of the programs ranking the importance of ABSITE scores as 3 or 4 (on a scale of 1 through 5). Most programs (78.9%) reported no minimum percentile requirement. Those that did required a mean percentile of 54.4. Of the programs, 57.8% placed a greater emphasis on the senior examination versus the junior examination (p = 0.06). When compared with other application factors, the ABSITE score ranked 3rd behind letters of recommendation and a candidate's residency program. Colon and rectal surgery placed the highest importance on ABSITE scores, whereas transplant surgery placed the lowest importance.

Conclusion: The ABSITE score is an important factor for residents applying to surgical fellowship; however, more weight is given to candidates' letters of recommendation and his or her residency program. Applicants should aim to score above the 50th percentile to be competitive for most fellowship programs.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jsurg.2010.02.007DOI Listing

Publication Analysis

Top Keywords

american board
12
board surgery
12
absite scores
12
absite
9
surgery in-training
8
in-training examination
8
fellowship programs
8
residents applying
8
absite score
8
letters recommendation
8

Similar Publications

This study aims to review the literature and estimate the global pooled prevalence of interstitial lung disease among patients with rheumatoid arthritis (RA-ILD). The influence of risk factors like geography, socioeconomic status, smoking and DMARD use will be explored. A systematic review was performed according to the PRISMA and JBI guidelines.

View Article and Find Full Text PDF

Background: Sex has been associated with different pathologic characteristics in painful hips undergoing hip arthroscopic surgery.

Purpose: To compare minimum 10-year patient-reported outcomes (PROs) and survivorship in patients who underwent primary hip arthroscopic surgery for femoroacetabular impingement syndrome and labral tears according to sex.

Study Design: Cohort study; Level of evidence, 3.

View Article and Find Full Text PDF

Background: African Americans experience cardiovascular disease (CVD) disparities, and the burden is greatest in the rural south. Although evidence-based CVD prevention and management programs have been tailored to this context, implementation has been limited and not sustained long-term. To understand how to implement and sustain evidence-based CVD programs at scale, we must explore the perspectives of organizations serving rural African American communities and situate findings within foundational Implementation Science frameworks.

View Article and Find Full Text PDF

Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.

View Article and Find Full Text PDF

Background: Pursuing excellence in healthcare delivery systems is an ongoing process. In this process, continuing medical education (CME) is essential for medical professionals to maintain high standards of patient care. In China, where the healthcare sector is undergoing considerable reforms and faces challenges owing to socioeconomic development and demographic shifts, an effective CME system is vital for general practitioners (GPs).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!