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Figure 1.  PRISMA Flow Diagram of Included Articles
PRISMA Flow Diagram of Included Articles
Figure 2.  Attrition Prevalence in General Surgery Residents
Attrition Prevalence in General Surgery Residents

ES indicates estimate.

Figure 3.  Attrition Prevalence by Sex in General Surgery Residents
Attrition Prevalence by Sex in General Surgery Residents

ES indicates estimate.

Table.  Characteristics of the Included Studies for General Surgery Residents
Characteristics of the Included Studies for General Surgery Residents
1.
Stain  SC, Hiatt  JR, Ata  A,  et al.  Characteristics of highly ranked applicants to general surgery residency programs.  JAMA Surg. 2013;148(5):413-417.PubMedGoogle ScholarCrossref
2.
Dort  JM, Trickey  AW, Kallies  KJ, Joshi  AR, Sidwell  RA, Jarman  BT.  Applicant characteristics associated with selection for ranking at independent surgery residency programs.  J Surg Educ. 2015;72(6):e123-e129.PubMedGoogle ScholarCrossref
3.
Jarman  BT, Joshi  AR, Trickey  AW, Dort  JM, Kallies  KJ, Sidwell  RA.  Factors and influences that determine the choices of surgery residency applicants.  J Surg Educ. 2015;72(6):e163-e171.PubMedGoogle ScholarCrossref
4.
Cochran  A, Melby  S, Foy  HM, Wallack  MK, Neumayer  LA.  The state of general surgery residency in the United States: program director perspectives, 2001.  Arch Surg. 2002;137(11):1262-1265.PubMedGoogle Scholar
5.
Burkhart  RA, Tholey  RM, Guinto  D, Yeo  CJ, Chojnacki  KA.  Grit: a marker of residents at risk for attrition?  Surgery. 2014;155(6):1014-1022.PubMedGoogle ScholarCrossref
6.
Kohanzadeh  S, Hayase  Y, Lefor  MK, Nagata  Y, Lefor  AT.  Factors affecting attrition in graduate surgical education.  Am Surg. 2007;73(10):963-966.PubMedGoogle Scholar
7.
Kwakwa  F, Jonasson  O.  Attrition in graduate surgical education: an analysis of the 1993 entering cohort of surgical residents.  J Am Coll Surg. 1999;189(6):602-610.PubMedGoogle ScholarCrossref
8.
Wolfson  PJ, Robeson  MR, Veloski  JJ.  Medical students who enter general surgery residency programs: a follow-up between 1972 and 1986.  Am J Surg. 1991;162(5):491-494.PubMedGoogle ScholarCrossref
9.
Dodson  TF, Webb  AL.  Why do residents leave general surgery? the hidden problem in today’s programs.  Curr Surg. 2005;62(1):128-131.PubMedGoogle ScholarCrossref
10.
Leibrandt  TJ, Pezzi  CM, Fassler  SA, Reilly  EF, Morris  JB.  Has the 80-hour work week had an impact on voluntary attrition in general surgery residency programs?  J Am Coll Surg. 2006;202(2):340-344.PubMedGoogle ScholarCrossref
11.
Moher  D, Liberati  A, Tetzlaff  J, Altman  DG; PRISMA Group.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.  Open Med. 2009;3(3):e123-e130.PubMedGoogle Scholar
12.
Sampson  M, McGowan  J, Cogo  E, Grimshaw  J, Moher  D, Lefebvre  C.  An evidence-based practice guideline for the peer review of electronic search strategies.  J Clin Epidemiol. 2009;62(9):944-952.PubMedGoogle ScholarCrossref
13.
Wells  GA, Shea  B, O’Connell  D,  et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of non-randomised studies in meta-analyses. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Accessed March 15, 2015.
14.
Nyaga  VN, Arbyn  M, Aerts  M.  Metaprop: a Stata command to perform meta-analysis of binomial data.  Arch Public Health. 2014;72(1):39.PubMedGoogle ScholarCrossref
15.
Higgins  JP, Thompson  SG.  Quantifying heterogeneity in a meta-analysis.  Stat Med. 2002;21(11):1539-1558.PubMedGoogle ScholarCrossref
16.
Higgins  JP, Thompson  SG, Deeks  JJ, Altman  DG.  Measuring inconsistency in meta-analyses.  BMJ. 2003;327(7414):557-560.PubMedGoogle ScholarCrossref
17.
StataCorp.  Stata Statistical Software: Release 13. College Station, TX: StataCorp LP; 2013.
18.
Bongiovanni  T, Yeo  H, Sosa  JA,  et al.  Attrition from surgical residency training: perspectives from those who left.  Am J Surg. 2015;210(4):648-654.PubMedGoogle ScholarCrossref
19.
Nadeem  M, Effendi  MS, Hammad Ather  M.  Attrition in surgical residency programmes: causes and effects.  Arab J Urol. 2014;12(1):25-29.PubMedGoogle ScholarCrossref
20.
Gifford  E, Galante  J, Kaji  AH,  et al.  Factors associated with general surgery residents’ desire to leave residency programs: a multi-institutional study.  JAMA Surg. 2014;149(9):948-953.PubMedGoogle ScholarCrossref
21.
Falcone  JL.  Home school dropout: a twenty-year experience of the matriculation of categorical general surgery residents.  Am Surg. 2014;80(2):216-218.PubMedGoogle Scholar
22.
Brown  EG, Galante  JM, Keller  BA, Braxton  J, Farmer  DL.  Pregnancy-related attrition in general surgery.  JAMA Surg. 2014;149(9):893-897.PubMedGoogle ScholarCrossref
23.
Sullivan  MC, Yeo  H, Roman  SA,  et al.  Surgical residency and attrition: defining the individual and programmatic factors predictive of trainee losses.  J Am Coll Surg. 2013;216(3):461-471.PubMedGoogle ScholarCrossref
24.
Yaghoubian  A, Galante  J, Kaji  A,  et al.  General surgery resident remediation and attrition: a multi-institutional study.  Arch Surg. 2012;147(9):829-833.PubMedGoogle ScholarCrossref
25.
Alterman  DM, Jones  TM, Heidel  RE, Daley  BJ, Goldman  MH.  The predictive value of general surgery application data for future resident performance.  J Surg Educ. 2011;68(6):513-518.PubMedGoogle ScholarCrossref
26.
Yeo  H, Bucholz  E, Ann Sosa  J,  et al.  A national study of attrition in general surgery training: which residents leave and where do they go?  Ann Surg. 2010;252(3):529-534.PubMedGoogle Scholar
27.
Wang  XY, Rodríguez  AC, Shu  MR.  Challenges to implementation of medical residency programs in China: a five-year study of attrition from West China hospital.  Acad Med. 2010;85(7):1203-1208.PubMedGoogle ScholarCrossref
28.
Kelz  RR, Mullen  JL, Kaiser  LR,  et al.  Prevention of surgical resident attrition by a novel selection strategy.  Ann Surg. 2010;252(3):537-1.PubMedGoogle Scholar
29.
Longo  WE, Seashore  J, Duffy  A, Udelsman  R.  Attrition of categoric general surgery residents: results of a 20-year audit.  Am J Surg. 2009;197(6):774-778.PubMedGoogle ScholarCrossref
30.
Naylor  RA, Reisch  JS, Valentine  RJ.  Factors related to attrition in surgery residency based on application data.  Arch Surg. 2008;143(7):647-651.PubMedGoogle ScholarCrossref
31.
Andriole  DA, Jeffe  DB, Hageman  HL, Klingensmith  ME, McAlister  RP, Whelan  AJ.  Attrition during graduate medical education: medical school perspective.  Arch Surg. 2008;143(12):1172-1177.PubMedGoogle ScholarCrossref
32.
Everett  CB, Helmer  SD, Osland  JS, Smith  RS.  General surgery resident attrition and the 80-hour workweek.  Am J Surg. 2007;194(6):751-756.PubMedGoogle ScholarCrossref
33.
Morris  JB, Leibrandt  TJ, Rhodes  RS.  Voluntary changes in surgery career paths: a survey of the program directors in surgery.  J Am Coll Surg. 2003;196(4):611-616.PubMedGoogle ScholarCrossref
34.
Farley  DR, Cook  JK.  Whatever happened to the general surgery graduating class of 2001?  Curr Surg. 2001;58(6):587-590.PubMedGoogle ScholarCrossref
35.
Bergen  PC, Turnage  RH, Carrico  CJ.  Gender-related attrition in a general surgery training program.  J Surg Res. 1998;77(1):59-62.PubMedGoogle ScholarCrossref
36.
Aufses  AH  Jr, Slater  GI, Hollier  LH.  The nature and fate of categorical surgical residents who “drop out.”  Am J Surg. 1998;175(3):236-239.PubMedGoogle ScholarCrossref
37.
O’Leary  J, Capote  L.  Surgical residency dropout rate.  Curr Surg. 1997;54(5):275-278.Google Scholar
38.
Moschos  E, Beyer  MJ.  Resident attrition: is gender a factor?  Am J Obstet Gynecol. 2004;191(2):387-391.PubMedGoogle ScholarCrossref
39.
Seltzer  VL, Messer  RH, Nehra  RD.  Resident attrition in obstetrics and gynecology.  Am J Obstet Gynecol. 1992;166(5):1315-1317.PubMedGoogle ScholarCrossref
40.
Kennedy  KA, Brennan  MC, Rayburn  WF, Brotherton  SE.  Attrition rates between residents in obstetrics and gynecology and other clinical specialties, 2000-2009.  J Grad Med Educ. 2013;5(2):267-271.PubMedGoogle ScholarCrossref
41.
McAlister  RP, Andriole  DA, Brotherton  SE, Jeffe  DB.  Attrition in residents entering US obstetrics and gynecology residencies: analysis of National GME Census data.  Am J Obstet Gynecol. 2008;199(5):574.e1-574.e6.PubMedGoogle ScholarCrossref
42.
Cusimano  MD, Yonke  AM, Tucker  WS.  An analysis of attrition from Canadian neurosurgery residency programs.  Acad Med. 1999;74(8):925-931.PubMedGoogle ScholarCrossref
43.
Lynch  G, Nieto  K, Puthenveettil  S,  et al.  Attrition rates in neurosurgery residency: analysis of 1361 consecutive residents matched from 1990 to 1999.  J Neurosurg. 2015;122(2):240-249.PubMedGoogle ScholarCrossref
44.
Hatton  MP, Loewenstein  J.  Attrition from ophthalmology residency programs.  Am J Ophthalmol. 2004;138(5):863-864.PubMedGoogle ScholarCrossref
45.
Prager  JD, Myer  CM  IV, Myer  CM  III.  Attrition in otolaryngology residency.  Otolaryngol Head Neck Surg. 2011;145(5):753-754.PubMedGoogle ScholarCrossref
46.
Walker  JL, Janssen  H, Hubbard  D.  Gender differences in attrition from orthopaedic surgery residency.  J Am Med Womens Assoc. 1993;48(6):182-184, 193.PubMedGoogle Scholar
47.
Dorsey  ER, Jarjoura  D, Rutecki  GW.  Influence of controllable lifestyle on recent trends in specialty choice by US medical students.  JAMA. 2003;290(9):1173-1178.PubMedGoogle ScholarCrossref
48.
Dorsey  ER, Jarjoura  D, Rutecki  GW.  The influence of controllable lifestyle and sex on the specialty choices of graduating US medical students, 1996-2003.  Acad Med. 2005;80(9):791-796.PubMedGoogle ScholarCrossref
49.
Newton  DA, Grayson  MS, Thompson  LF.  The variable influence of lifestyle and income on medical students’ career specialty choices: data from two US medical schools, 1998-2004.  Acad Med. 2005;80(9):809-814.PubMedGoogle ScholarCrossref
50.
Patel  MS, Katz  JT, Volpp  KG.  Match rates into higher-income, controllable lifestyle specialties for students from highly ranked, research-based medical schools compared with other applicants.  J Grad Med Educ. 2010;2(3):360-365.PubMedGoogle ScholarCrossref
51.
Zhuge  Y, Kaufman  J, Simeone  DM, Chen  H, Velazquez  OC.  Is there still a glass ceiling for women in academic surgery?  Ann Surg. 2011;253(4):637-643.PubMedGoogle ScholarCrossref
52.
Park  J, Minor  S, Taylor  RA, Vikis  E, Poenaru  D.  Why are women deterred from general surgery training?  Am J Surg. 2005;190(1):141-146.PubMedGoogle ScholarCrossref
53.
Richardson  HC, Redfern  N.  Why do women reject surgical careers?  Ann R Coll Surg Engl. 2000;82(9)(suppl):290-293.PubMedGoogle Scholar
54.
Burgos  CM, Josephson  A.  Gender differences in the learning and teaching of surgery: a literature review.  Int J Med Educ. 2014;5:110-124.PubMedGoogle ScholarCrossref
55.
Stratton  TD, McLaughlin  MA, Witte  FM, Fosson  SE, Nora  LM.  Does students’ exposure to gender discrimination and sexual harassment in medical school affect specialty choice and residency program selection?  Acad Med. 2005;80(4):400-408.PubMedGoogle ScholarCrossref
56.
Fitzgerald  JE, Tang  SW, Ravindra  P, Maxwell-Armstrong  CA.  Gender-related perceptions of careers in surgery among new medical graduates: results of a cross-sectional study.  Am J Surg. 2013;206(1):112-119.PubMedGoogle ScholarCrossref
57.
Yeo  H, Viola  K, Berg  D,  et al.  Attitudes, training experiences, and professional expectations of US general surgery residents: a national survey.  JAMA. 2009;302(12):1301-1308.PubMedGoogle ScholarCrossref
58.
Ahmed  N, Devitt  KS, Keshet  I,  et al.  A systematic review of the effects of resident duty hour restrictions in surgery: impact on resident wellness, training, and patient outcomes.  Ann Surg. 2014;259(6):1041-1053.PubMedGoogle ScholarCrossref
59.
Bilimoria  KY, Chung  JW, Hedges  LV,  et al.  National cluster-randomized trial of duty-hour flexibility in surgical training.  N Engl J Med. 2016;374(8):713-727.PubMedGoogle ScholarCrossref
60.
Wasserman  MA.  A Strategy to reduce general surgery resident attrition: a resident’s perspective.  JAMA Surg. 2016;151(3):215-216.PubMedGoogle ScholarCrossref
61.
Cochran  A, Melby  S, Neumayer  LA.  An internet-based survey of factors influencing medical student selection of a general surgery career.  Am J Surg. 2005;189(6):742-746.PubMedGoogle ScholarCrossref
62.
De  SK, Henke  PK, Ailawadi  G, Dimick  JB, Colletti  LM.  Attending, house officer, and medical student perceptions about teaching in the third-year medical school general surgery clerkship.  J Am Coll Surg. 2004;199(6):932-942.PubMedGoogle ScholarCrossref
63.
Musunuru  S, Lewis  B, Rikkers  LF, Chen  H.  Effective surgical residents strongly influence medical students to pursue surgical careers.  J Am Coll Surg. 2007;204(1):164-167.PubMedGoogle ScholarCrossref
64.
Erzurum  VZ, Obermeyer  RJ, Fecher  A,  et al.  What influences medical students’ choice of surgical careers.  Surgery. 2000;128(2):253-256.PubMedGoogle ScholarCrossref
65.
Berman  L, Rosenthal  MS, Curry  LA, Evans  LV, Gusberg  RJ.  Attracting surgical clerks to surgical careers: role models, mentoring, and engagement in the operating room.  J Am Coll Surg. 2008;207(6):793-800, 800.e1-800.e2.PubMedGoogle ScholarCrossref
Original Investigation
March 2017

Prevalence and Causes of Attrition Among Surgical Residents: A Systematic Review and Meta-analysis

Author Affiliations
  • 1Division of Vascular Surgery, St Michael’s Hospital, Toronto, Ontario, Canada
  • 2Department of Surgery, Taibah University, Madinah, Saudi Arabia
  • 3Department of Surgery, University of Toronto, Toronto, Ontario, Canada
  • 4Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
  • 5The Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
  • 6The Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
  • 7The Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
  • 8The King Saud University–Li Ka Shing Collaborative Research Program, King Saud University, Riyadh, Kingdom of Saudi Arabia
  • 9Division of Cardiac Surgery, St Michael’s Hospital, Toronto, Ontario, Canada
  • 10Division of General Surgery, St Michael’s Hospital, Toronto, Ontario, Canada
  • 11Department of Surgery, King Saud University, Riyadh, Kingdom of Saudi Arabia
JAMA Surg. 2017;152(3):265-272. doi:10.1001/jamasurg.2016.4086
Key Points

Question  What is the attrition prevalence among surgical residents?

Findings  This systematic review and meta-analysis found that the pooled estimate of attrition prevalence among general surgery residents was 18%, female residents were more likely to leave than male residents, and residents were most likely to leave after the first postgraduate year owing to an uncontrollable lifestyle. The most common destination of residents who left was relocating to another general surgery program or switch to another specialty.

Meaning  Attrition prevalence is relatively high among general surgery residents and future research should focus on developing strategies to limit resident attrition.

Abstract

Importance  Attrition of residents from general surgery training programs is relatively high; however, there are wide discrepancies in the prevalence and causes of attrition reported among surgical residents in previous studies.

Objective  To summarize the estimate of attrition prevalence among general surgery residents.

Data Sources  We searched the Medline, EMBASE, Cochrane, PsycINFO, and ERIC databases (January 1, 1946, to October 22, 2015) for studies reporting on the prevalence and causes of attrition in surgical residents, as well as the characteristics and destinations of residents who left general surgery training programs. Database searches were conducted on October 22, 2015.

Study Selection  Eligibility criteria included all studies reporting on the primary (attrition prevalence) or secondary (causes of attrition and characteristics and destination of residents who leave residency programs) outcomes in peer-reviewed journals. Commentaries, reviews, and studies reporting on preliminary surgery programs were excluded. Of the 41 full-text articles collected from the title/abstract screening, 22 studies (53.7%) met the selection criteria.

Data Extraction and Synthesis  Two reviewers independently collected and summarized the data. We calculated pooled estimates using random effects meta-analyses where appropriate.

Main Outcome and Measure  Attrition prevalence of general surgery residents.

Results  Overall, we included 22 studies that reported on residents (n = 19 821) from general surgery programs. The pooled estimate for the overall attrition prevalence among general surgery residents was 18% (95% CI, 14%-21%), with significant between-study variation (I2 = 96.8%; P < .001). Attrition was significantly higher among female compared with male (25% vs 15%, respectively; P = .008) general surgery residents, and most residents left after their first postgraduate year (48%; 95% CI, 39%-57%). Departing residents often relocated to another general surgery program (20%; 95% CI, 15%-24%) or switched to anesthesia (13%; 95% CI, 11%-16%) and other specialties. The most common reported causes of attrition were uncontrollable lifestyle (range, 12%-87.5%) and transferring to another specialty (range, 19%-38.9%).

Conclusions and Relevance  General surgery programs have relatively high attrition, with female residents more likely to leave their training programs than male residents. Residents most often relocate or switch to another specialty after the first postgraduate year owing to lifestyle-related issues.

Introduction

Despite the introduction of national regulations on resident duty hour restrictions by the Accreditation Council for Graduate Medical Education (ACGME) in 2003, resident attrition remains a significant issue, particularly in general surgery training programs. General surgery residency programs are among the most competitive training programs to join, and they often attract high-profile applicants.1-3 However, the attrition rate of general surgery residents (reported to range from 2% to 26%) appears to be relatively higher than other specialties, which poses major challenges at the program, institutional, and postgraduate medical education levels.4-8

Although resident attrition is well known to be a significant problem in surgical training, data on factors associated with attrition are unclear. Previous studies have suggested residents may leave general surgery training programs for a variety of reasons, including undesirable lifestyle, excessive work hours, emotional difficulties, performance issues, lack of personal support network, or dissatisfaction with the medical profession altogether.9 However, to our knowledge, no study has systematically summarized the strength and magnitude of the association between these factors and attrition. Furthermore, data are unclear about the career choices of residents who leave general surgery training programs. Current knowledge indicates that these residents often transfer to other surgical specialties, but may also transfer to nonsurgical specialties or leave medicine altogether.10

Therefore, the primary aim of our study was to summarize the current evidence to determine the prevalence of attrition among general surgery residents. Furthermore, we sought to establish the drivers of attrition in general surgery residency programs, identify the characteristics of residents who left their training programs, and examine the destinations of outgoing residents.

Methods
Study Design and Registration

We conducted a systematic review and meta-analysis in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.11 Our predefined protocol was registered at the International Prospective Register of Systematic Reviews (CRD 42015027420).

Inclusion Criteria and Outcomes

All studies that reported either the primary outcome (prevalence of attrition among general surgery residents) or any of the secondary outcomes (attrition causes, characteristics of residents who left, and destination of residents who left) of interest were included. Commentaries, reviews, and studies not published in peer-reviewed journals were excluded. In addition, studies of preliminary general surgery programs were excluded to avoid including general surgery residents who transferred to their designated specialty program (eg, anesthesia or radiology) after the preliminary year in general surgery.

Information Sources and Search Strategies

In collaboration with an expert librarian, we conducted a comprehensive search of 5 electronic databases (Medline, EMBASE, ERIC, PsycINFO, and Cochrane Library; January 1, 1946, to October 22, 2015). The search strategy combined terms of surgical residents with terms related to attrition. No language restrictions were applied. The search strategy was peer-reviewed using the Peer Review of Electronic Search Strategy checklist.12 A full search strategy is included in the eAppendix in the Supplement. Search results from the 5 databases were merged using EndNote (Thomson Reuters Scientific LLC) and duplicate references were discarded. We also searched the references of the included full-text articles to ensure literature saturation, and we contacted experts for additional data sources. Database searches were conducted on October 22, 2015.

Study Selection, Data Extraction, and Data Items

Two reviewers (Z.K. and M.A.H.) independently screened the titles and abstracts of all studies that resulted from the search to determine eligibility for full-text review, reviewed full-text articles of all potentially relevant articles, and extracted data from eligible full-text articles. Data collection forms were developed to capture variables of interest (eg, author, recruitment period, study design, and sample number); they were piloted on 5 randomly selected studies and refined as appropriate. Disagreements were resolved as a group.

Assessment of Study Quality

Two reviewers (Z.K. and M.A.H.) independently assessed each included study for quality (or risk of bias) using the Newcastle-Ottawa Scale for cohort studies and modified Newcastle-Ottawa Scale for cross-sectional studies.13 This instrument assesses the quality of cohort studies in terms of selection of study cohorts, comparability of the cohorts, and outcomes ascertainment using a star system. An overall score ranging from 0 to 9 for cohort studies and 0 to 5 for cross-sectional studies was determined for each study. Cohort studies were categorized as having a high (score <6), moderate (score 6 or 7), or low (score 8 or 9) risk of bias; cross-sectional studies were categorized as having either a high (score <3) or low (score 3-5) risk of bias. Disagreements were discussed and resolved as a group.

Data Synthesis and Analysis

For categorical general surgery residents, pooled estimates (proportions) of attrition prevalence and characteristics and destinations of residents who left were calculated using random-effects meta-analyses.14 Between-study heterogeneity was examined using I2 statistic. A high level of heterogeneity was indicated by an I2 statistic value of 75% and greater.15,16 In addition, we examined attrition prevalence of residents from categorical general surgery programs based on the following subgroups: timing of study (before vs after the ACGME 80-hour policy implementation) and whether attrition was voluntary or involuntary (dismissal). We also conducted a sensitivity analysis to assess the robustness of our results by restricting the analysis to studies that only reported results from multiple training programs. In addition, we examined the influence of each study on the overall estimate by excluding one study at a time and rerunning the meta-analysis. All statistical analyses were performed using Stata version 13 (StataCorp LP), with a P value of less than .05 for statistical tests considered statistically significant.17

Results
Overall Description of Included Studies

A total of 1881 citations were identified through the electronic database searches, with 15 additional studies identified through scanning references (Figure 1). Of these, 41 full-text articles were reviewed, and 22 studies were included in this systematic review.9,10,18-37

Study Characteristics

A total of 22 studies reported on general surgery residency programs from the United States (n = 20), Pakistan (n = 1), and China (n = 1) and including a total of 19 821 residents (Table). Ten studies were cross-sectional and 12 were retrospective cohort in design. Ten studies reported results from multiple training programs, whereas 12 studies reported results from a single training program. Duration of follow-up ranged from 1 to 20 years. With respect to study quality, 9 studies were at low risk of bias, 10 were at moderate risk of bias, and 3 were at high risk of bias (eTable 1 and eTable 2 in the Supplement). Of the 22 total studies, only 19 were included in the meta-analyses. The 2 studies conducted outside of the United States were excluded from the meta-analysis owing to significant heterogeneity in international training programs, and 1 study that only reported qualitative data on the causes of attrition was also excluded.18

Primary Outcome: Attrition Prevalence

Sixteen studies reported the prevalence of attrition among general surgery residents (eTable 3 in the Supplement). Quiz Ref IDThe pooled estimate for the overall attrition prevalence among general surgery residents was 18% (95% CI, 14%-21%; P < .001), with significant between-study variation (I2 = 96.8%; P < .001) (Figure 2). Most of the residents left voluntarily (range, 60%-96.4%). Dismissal rates ranged from 6.25% to 50% (eTable 3 in the Supplement). Quiz Ref IDThe pooled estimate of attrition prevalence reported from studies before the ACGME 80-hour work policy implementation was 17% (95% CI, 12%-21%; P < .001; I2 = 74.8%; n = 7 studies) compared with 14% (95% CI, 0%-29%; P < .001; I2 = 97.5%; n = 3 studies) after the 80-hour work policy implementation; this difference was not statistically significant (P = .43).

Secondary Outcomes

Quiz Ref IDThe most common cause of attrition was uncontrollable lifestyle during general surgery resident training (range, 12%-87.5%). The second most common reason of attrition was choosing to join another specialty (range, 19%-38.9%). Other reported causes included poor performance, dismissal, family or spousal factors, health issues, and financial burden (eTable 4 in the Supplement). Owing to the significant variability in the reporting of this outcome across studies, a meta-analysis was not possible.

With respect to characteristics of residents who left, most studies focused on reporting the sex and postgraduate year (PGY) level of these residents (eTable 5 and eTable 6 in the Supplement). Only studies that reported complete data stratified by sex or PGY level of residents who left their training programs were included for subgroup analyses to minimize the risk of selection bias. Meta-analysis of attrition prevalence by sex showed attrition prevalence of 25% among female residents enrolled in general surgery programs (95% CI, 16%-34%; P < .001; I2 = 88.2%; n = 11 studies) compared with 15% for male residents (95% CI, 11%-20%; P < .001; I2 = 96.7%; n = 11 studies) (Figure 3). Formal testing for subgroup differences revealed that female residents had significantly higher attrition prevalence (10% higher) than male residents (P = .008). Quiz Ref IDOf the total number of residents who left a general surgery program, 48% (n = 816) left after the PGY 1 level (95% CI, 39%-57%; P < .001; I2 = 91.7%; n = 11 studies) and 28% (n = 596) after the PGY 2 level (95% CI, 22%-33%; P < .001; I2 = 78.02%; n = 11 studies) (eFigure 1 in the Supplement).

Overall, of all the residents who left, only 20% (95% CI, 15%-24%; n = 317; P < .001; I2 = 72.2%; n = 8 studies) relocated to another general surgery program, whereas most switched to another field or specialty (eFigure 2 in the Supplement). Quiz Ref IDAnesthesia appeared to be the most popular nongeneral surgery medical specialty training program for residents who left (13% of residents [n = 241] who left; 95% CI, 11%-16%; P < .001; I2 = 40.7%; n = 11 studies) (eFigure 3 in the Supplement). Plastic surgery, radiology, and family medicine were other common specialties that attracted general surgery residents (eTable 7 in the Supplement).

Sensitivity Analyses

First, we conducted a sensitivity analysis for attrition prevalence by removing 1 study at a time and rerunning the meta-analysis to see the effect of each study. No single study changed the prevalence of overall attrition among general surgery residents by more than 2%. Second, we conducted sensitivity analyses by restricting our meta-analyses to studies that only reported results from multiple training programs. The pooled estimates for all outcomes were nearly identical in multiple programs only vs all studies (eFigure 3, eFigure 4, eFigure 5, eFigure 6, and eFigure 7 in the Supplement).

Discussion

Overall, 22 studies included in our systematic review reported attrition from general surgery programs. The overall rate of attrition among general surgery residents was 18% (95% CI, 14%-21%). The most common cause of attrition from general surgery residency was uncontrollable lifestyle, followed by choosing to join another specialty. Nearly 50% of residents left after the PGY 1 level, and 30% left after PGY 2. Female residents were more likely to leave than male residents (25% vs 15%, respectively). Of the residents who left, 20% relocated to another general surgery program (often owing to family or geographic preference),32 and 13% changed their specialty to anesthesia.

There is a paucity of data available on surgical resident attrition from specialties other than general surgery. However, it appears that the overall prevalence of attrition among general surgery residents is comparable with that of obstetrics and gynecology (range, 3.6%-21.6%)38-41 and neurosurgery (range, 14%-42.6%) residents,42,43 but relatively higher than ophthalmology (1.15%),44 otolaryngology (6%),45 and orthopedics (5.3%) residents.46

A potential explanation for the wide range of overall attrition rates among different surgical specialties may be variable demands of different surgical training programs. For instance, compared with ophthalmology, general surgery training programs generally have greater clinical demands, which can have significant consequences on resident lifestyle; uncontrollable lifestyle was identified as the most common cause of attrition in our review. Furthermore, residents from other nonsurgical training programs, such as internal medicine and emergency medicine, which are known to be more “lifestyle friendly,” have lower reported rates of attrition than the more clinically demanding programs, such as general surgery and neurosurgery.31,40 In addition, we found that surgical residents who left their training programs most often switched to lifestyle-friendly specialties such as anesthesia and family medicine. This trend has also been noticed among graduating medical students who strongly consider lifestyle factors when deciding on which medical specialty to pursue as a career.47-50

We also found a quarter of female residents left their surgical training programs compared with 15% of male residents. Several potential factors may account for this difference, such as a lack of appropriate role models for female residents, particularly in surgical academia51-54; perception of sex discrimination; negative attitudes toward women in surgery; and sexual harassment.54-56 In addition, in a national survey of general surgery residents from the United States that included 248 of 249 total training programs, women were found less likely than men to report that their program provides support, and that they can turn to faculty when having difficulties.57

National policies on resident duty hour restrictions were implemented by the ACGME in 2003 in an attempt to regulate resident hours and improve resident lifestyle without compromising clinical care and resident training. However, a recent systematic review conducted by Ahmed and colleagues58 showed that implementation of the current 80-hour-a-week policy did not improve general surgery resident lifestyle. Furthermore, the recently reported Flexibility in Duty Hour Requirements for Surgical Trainees Trial involving 117 general surgery programs showed that residents randomized to the flexible-policy arm were not more likely dissatisfied with overall well-being than those randomized to the standard-policy arm (adhering to the existing ACGME hour restrictions). However, flexible-policy residents were more likely to perceive negative effects of duty hours on time for family and friends and were more likely to be dissatisfied with time for rest.59

There may be other more effective ways of retaining surgical trainees than targeting work hours policy, such as formally assigning mentors to support residents early in their training.60 In addition, more exposure to surgical rotations during undergraduate medical education might facilitate appropriate career choices.61,62 Moreover, being attached to one team during a surgical rotation may not give students a complete picture of residency training.63-65 Hence, longer and varied rotations may help medical students make more informed career choices. Furthermore, adding a transition year between medical school and residency training with rotations in the general specialties, such as general surgery and internal medicine (which is the case in the United Kingdom and many other countries), might help students recognize the actual demands of general surgery training programs. Last, effective screening processes for applicants to surgical residencies may help reduce attrition. Kelz and colleagues28 have proposed novel application screening methods that include essay requirements for applicants focusing on stress management, prioritization, and organizational abilities, which are all qualities needed to succeed as a surgical resident. Further study into novel models such as these may help identify appropriate candidates for surgical programs, especially because traditional methods of evaluation, such as medical school attended, surgery clerkship performance, US Medical Licensing Examination scores, and American Board of Surgery In-Training Examination scores, have failed to predict attrition.19,20,22,25,32

Limitations

The results of our study should be interpreted in light of some limitations. First, there was considerable heterogeneity between studies, which remained high even when we restricted the analysis to studies reporting data from multiple training programs. This might be partially due to program-specific factors such as the size and the type of program (university, community, and military programs). Second, most of the studies did not adequately control for confounding factors such as age, sex, medical school attended, and program type. Third, the duration of follow-up among studies varied widely (range, 1-20 years of follow-up). Fourth, because most of the included studies were conducted in the United States, the results cannot be generalized to training programs outside of the United States. Finally, nearly all of the studies included were retrospective in design, and more than half reported data from a single training program. However, sensitivity analysis that only included multiple programs studies did not change our conclusions.

Conclusions

In this systematic review and meta-analysis, we found that the pooled estimate of overall attrition among general surgery residents was 18%, and the most common cause of attrition was uncontrollable lifestyle. Female residents were more likely to leave their training program compared with male residents, with most (about 80%) of the residents leaving within the first 2 years of training. Residents often relocated to another general surgery program or changed specialty to more lifestyle-friendly specialties. Future studies should focus on developing interventions to limit resident attrition.

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Article Information

Accepted for Publication: August 6, 2016.

Corresponding Author: Mohammed Al-Omran, MD, MSc, FRCSC, Division of Vascular Surgery, St Michael’s Hospital, 30 Bond St, Ste 7-074, Bond Wing, Toronto, ON M5B 1W8, Canada (alomranm@smh.ca).

Published Online: December 14, 2016. doi:10.1001/jamasurg.2016.4086

Author Contributions: Drs Khoushhal and Al-Omran had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Khoushhal, Hussain, Greco, Mamdani, Tricco, Al-Omran.

Acquisition, analysis, or interpretation of data: Khoushhal, Hussain, Greco, Verma, Rotstein, Al-Omran.

Drafting of the manuscript: Khoushhal.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Khoushhal, Hussain, Mamdani, Al-Omran.

Administrative, technical, or material support: Khoushhal, Verma, Al-Omran.

Study supervision: Greco, Al-Omran.

Conflict of Interest Disclosures: None reported.

Presentation: This study was presented at the American College of Surgeons 2016 Clinical Congress; October 16, 2016; Washington, DC.

Additional Contributions: The database search strategy was developed in consultation with an expert information specialist, David Lightfoot, PhD, and peer-reviewed by Carolyn Ziegler, MA, MIS, using the Peer Review of Electronic Search Strategy checklist at the Health Sciences Library of Li Ka Shing Knowledge Institute, St Michael’s Hospital. We also acknowledge Kevin Thrope, PhD, from the Applied Health Research Centre, St Michael’s Hospital, for providing statistical consultations for this study. They did not receive compensation.

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