Background

For medical students, deciding on a residency specialty that will guide careers and impact personal lives is a complicated and multifactorial process, made even more difficult by the complex and stressful nature of attempting to switch residency specialties post hoc [1]. These decisions have broad implications regarding healthcare and biomedical research across the globe, namely an imbalance between physician supply and demand in primary care [2,3,4], surgery [5,6,7], research [8,9,10], and clinical subspecialties [11,12,13], a disparity that dates back over a century and will continue to worsen for the foreseeable future [14,15,16]. These disparities can have a significant impact on healthcare outcomes. For example, a greater supply of primary care physicians per capita is associated with improved cardiovascular health, lower mortality, increased lifespan, and a reduction in low birth-weight rates [17,18,19]. While the physician workforce landscape is shaped by numerous variables that can differ in importance and oversight across municipalities, states/provinces, and countries, principal persistent factors that contribute are the personal desires and interests of the physician trainees themselves, which may or may not align with the needs of the healthcare system [20].

Investigating which specialties medical students prefer and why has been of long-standing interest to medical schools and healthcare administrations, as a better understanding of these preferences could provide insights that enable improvements to education curricula that better foster the wants and needs of future physicians and the healthcare system. Previous studies have demonstrated that the residency preferences of matriculating medical students change by the time a final residency choice is made at the end of medical school [21, 22]. Additionally, students have demonstrated a persistent tendency to categorically switch preference between primary care and surgical specialties [23,24,25,26]. Notably, a particularly worrisome finding is the degree of regret and dissatisfaction amongst residents and physicians with regard to their career choice [1, 27, 28]. While informative studies have observed specific predictive factors influencing residency choice, such as demographics, interest, lifestyle, finances, and prestige, the single time point nature of these studies limits our understanding of how these factors may change over time [23,24,25, 29,30,31,32], and results can be further confounded due to recall bias from methods that require retrospective assessment by respondents. Moreover, alterations to the medical curriculum itself have been shown to impact residency choice [33,34,35,36], making it imperative to obtain accurate and current data regarding student preferences that can be used to facilitate optimal curriculum changes.

In this longitudinal study, we track the residency specialty preferences and motivational factors for a cohort of U.S. medical students throughout their training at the University of Connecticut School of Medicine. The aim of this study is to identify if and how the residency preferences of newly matriculated medical students change compared to the residency specialties chosen in their last year of medical school. Concurrently, this study also aims to investigate the factors influencing residency choice, with a focus on how these factors may or may not change with time and between specialty categories, such as between primary care and surgical specialties. The results from this study will add to the growing understanding of medical student career preferences. This may help to inform decisions regarding medical education, such as more personalized training plans that foster career satisfaction and guidance towards in-demand specialties.

Methods

Subjects and questionnaire

This study was reviewed by the Institutional Review Board (IRB) at UConn Health and qualified for exempt status (IRB number 18–062-3). A voluntary, self-administered questionnaire (Table 1) was developed to longitudinally assess medical students’ residency specialty preferences, as well as the factors motivating those preferences, throughout their medical school training towards conferral of their medical degree (M.D.). A survey was chosen as the data collection instrument in order to measure attitudes/beliefs, as these qualities are personal/internal and thus not directly observable. The questionnaire was administered annually from 2017 to 2020 to the same student cohort from the University of Connecticut School of Medicine (UConn SOM Class of 2021), a 4-year M.D.-granting medical school in the U.S., starting upon matriculation (Year 1; n = 102 matriculants) and concluding during submission of residency applications using the Electronic Residency Application Service (ERAS) (Year 4; n = 100 matches). The anonymous questionnaire consisted of respondents self-reporting their preferred (Years 1–3) or chosen (Year 4) residency specialty, their likely career path following residency (e.g. subspecialty training, research, etc.), and ranking the various motivational factors (e.g. specialty lifestyle, prestige, etc.) on these stated choices from least important to most important, in addition to demographics information (e.g. age, marital status, etc.). To meet recent guidelines for survey-based research, this questionnaire format (Table 1) is similar to what has been utilized in previous studies [22, 23, 37], was reviewed by two faculty members unaffiliated with the study, and a survey trial with interview-based feedback was performed using a small number of respondents outside the cohort of interest to ensure content, face, and response process validity as well as interrater reliability [38, 39].

Table 1 Survey questionnaire. Simplified questionnaire presenting the questions and response options for the students to complete

Procedure

For Years 1–3, the questionnaire was administered in person at curriculum sessions in which a majority of students would be present, such as at the end of lecture (Years 1–2) or prior to an orientation session (Year 3) and students were given 20 min to complete the survey. The surveyors (F.A.L. and A.M.P.) announced the goals and voluntary/anonymous nature of the study to the students present, distributed paper copies of the questionnaire, and collected the completed questionnaires with respect to respondent anonymity. Due to the COVID-19 pandemic, the Year 4 questionnaire was distributed using the class email listserv and voluntary, anonymous responses were submitted electronically. No incentive was offered for completing the survey.

Data analysis

The data obtained in this study were electronically cataloged and analyzed. Data in this study excluded oral and maxillofacial surgery and preliminary surgery Match outcomes, as well as longitudinal results from students in dual degree programs (e.g. M.D./Ph.D., M.D./M.B.A, etc), as these represent atypical training timelines and/or career paths. For comparison and correlation to the Year 4 survey results, the specialty match results from the National Resident Matching Program (NRMP) for the UConn SOM Class of 2021 (n = 100 students) were also included in this study. For the “primary care” specialty categorization, this encompassed internal medicine, pediatrics, and family medicine, as defined by the American Academy of Family Physicians (AAFP). For the “surgery” specialty categorization, this encompassed general surgery, orthopedic surgery, neurological surgery, vascular surgery, plastic surgery, otolaryngology, and urology, as defined by the American College of Surgeons (ACS). Obstetrics and gynecology (OB/GYN) was excluded from either classification due to its hybrid nature and evolving landscape [40,41,42,43].

With the potential for small sample sizes due to specific residency choice, incomplete questionnaires, and/or survey distribution logistics (i.e. cohort availability), a 90% confidence level (α = 0.1) was chosen [44, 45]. For analysis, the percentages of students who chose each residency specialty were calculated relative to the total respondents for each year the questionnaire was completed. To assess correlation between Year 4 survey results and Match outcomes, a Pearson correlation coefficient (r) and its associated P-value were calculated using GraphPad Prism. The importance of the six factors motivating the chosen specialties, which were numerically recorded on an ordinal scale from least important (1) to most important (6), were compiled by both medical school year and specialty choice. The median scale values and interquartile ranges were calculated and plotted in GraphPad Prism. Statistical comparisons were performed using nonparametric Mann-Whitney U tests in GraphPad Prism, and the resulting P-values were considered statistically significant if P ≤ 0.1.

Results

The total number of cohort respondents by year were n = 76 for Year 1, n = 54 for Year 2, n = 31 for Year 3, and n = 64 for Year 4, as summarized in Table 2. Due to the lower response rate in Years 2 and 3, we directed our focus and analyses on Years 1 and 4. The age range for Year 1 respondents was 21–33 years-old and 25–34 years-old for Year 4 respondents. This was accompanied by an increase in the percentage of married respondents (6.6% in Year 1 and 15.6% in Year 4) and respondents with children (0.0% in Year 1 and 3.1% in Year 4).

Table 2 Respondent demographics. This table includes the number of student volunteers who completed the questionnaire in each of the four years it was administered, as well as the demographic data they provided

With regard to residency specialty choices (Table 3), the top six choices for the entering students in Year 1 were internal medicine (14.5%), emergency medicine (14.5%), orthopedic surgery (14.5%), general surgery (11.8%), pediatrics (7.9%), and OB/GYN (7.9%). For Year 4, the top six residency specialty choices were internal medicine (15.4%), emergency medicine (12.3%), family medicine (10.8%), pediatrics (9.2%), OB/GYN (9.2%), and radiology (9.2%). Of note, the specialty choices that exhibited the greatest absolute change from Year 1 to Year 4 were orthopedic surgery (− 9.9%), family medicine (+ 8.1%), radiology (+ 7.9%), general surgery (− 7.2%), and anesthesiology (+ 6.2%). This correlated well with the final NRMP Match outcomes for this cohort of UConn SOM students (r = 0.91, P < 0.001), as the greatest absolute changes from Year 1 to the Match were orthopedic surgery (− 12.5%), anesthesiology (+ 8.0%), general surgery (− 7.8%), radiology (+ 6.7%), and family medicine (+ 5.4%; tied with psychiatry). Of note, the least popular specialties—those that garnered no interest in Year 1 and no Match outcomes—were child neurology, combined internal medicine and pediatrics (med-peds), pathology, and physical medicine and rehabilitation. Finally, the majority of students reported a desire to pursue fellowship/subspecialty training after residency in both Year 1 (51.3%) and Year 4 (66.2%), whereas 0% of Year 1 students were interested in research compared to 13.8% of students in Year 4 (Table 4). Industry was the least likely post-residency path for respondents, with only 2.6% of Year 1 students and 4.6% of Year 4 students expressing interest.

Table 3 Residency specialty results. This table represents the number of students reporting their preferred residency specialty (Years 1–3), chosen residency specialty (Year 4), and Match outcome for this cohort. The percentage for each response/result by year is also provided
Table 4 Career paths following completion of residency. Students were asked to choose which career path they were most likely to follow after completion of residency. Students were given the option to choose multiple pathways if they wished

To determine which factors may motivate a student’s preferred/chosen residency specialty, we asked respondents to rank six factors—family/location, field interest, prestige, lifestyle, financial incentive, and match confidence—from least important to most important in motivating their reported residency specialty choice. Using a linear scale (1 = least important to 6 = most important) to numerically compare these responses, we identified no significant leading motivational factor in Year 1, as the median ranking was relatively similar across the six assessed factors (Fig. 1). However, when compared to Year 4, significant changes were observed. Interest in the field itself (e.g. underlying science, day-to-day duties, target patient population, subsequent training opportunities, etc.) and field lifestyle (e.g. hours) significantly increased in importance in Year 4, whereas field prestige, financial incentive (e.g. salary), and match confidence significantly decreased in importance. The importance of family and/or location requirements did not significantly change from Year 1 to Year 4.

Fig. 1
figure 1

Factors motivating residency choice. Median and interquartile range for the six motivational factors influencing choice of residency specialties from least important (1) to most important (6), comparing the student cohort in Year 1 (white circle) versus Year 4 (black square). P-values were calculated using Mann-Whitney U tests

As we observed disparities and changes between specialty choices within and between Years 1 and 4, we next set out to compare interest amongst broad specialty categorizations, specifically primary care versus surgery, as change between these specialty categories during medical school has been shown to occur across studies from multiple decades [23,24,25, 35, 36]. In Year 1, 25.0% of students were interested in primary care specialties (internal medicine, pediatrics, or family medicine), which increased ~ 1.4-fold to 35.4% in Year 4 and ~ 1.3-fold to 32.0% in the final Match outcome (Fig. 2A). In contrast, 38.2% of Year 1 students expressed interest in surgical specialties (orthopedic surgery, general surgery, neurological surgery, vascular surgery, plastic surgery, otolaryngology, and urology), which decreased ~ 2.5-fold to 15.4% in Year 4 and ~ 2.7-fold to 14.0% in the final Match outcome (Fig. 2B).

Fig. 2
figure 2

Percentage of students selecting primary care versus surgical residencies. A) Percentage of students selecting primary care specialities in Year 1, Year 4, and the Match outcome. B) Percentage of students selecting surgical specialities in Year 1, Year 4, and the Match outcome

With the knowledge that considerable changes occurred between the proportion of students interested in primary care versus surgery in Year 1 compared to Year 4 and the Match, we next wanted to assess if and how our panel of motivational factors may have changed within primary care and surgery from Year 1 to Year 4. For primary care, interest in the field itself significantly increased as a factor motivating students’ choice of a career in a primary care specialty from Year 1 to Year 4, whereas prestige and financial incentives associated with primary care specialties decreased (Fig. 3A). Specialty lifestyle, match confidence, and family/location factors did not significantly change. For surgery, interest in the field itself significantly increased from Year 1 to Year 4, while the influence of prestige decreased (Fig. 3B). Factors pertaining to specialty lifestyle, financial incentive, match confidence, and family/location did not significantly change amongst those interested in surgery between Years 1 and 4.

Fig. 3
figure 3

Factors influencing residency choice by year within primary care and surgery. Median and interquartile range for the six motivational factors influencing choice of residency specialties from least important (1) to most important (6), comparing A) the student cohort in Year 1 (white circle) versus Year 4 (black square) amongst those who chose primary care specialties, and B) the student cohort in Year 1 (white circle) versus Year 4 (black square) amongst those who chose surgical specialties. P-values were calculated using Mann-Whitney U tests

Additional analyses were performed to assess if and how these motivational factors differ between primary care and surgery within Year 1 and Year 4. For Year 1, none of the surveyed factors demonstrated a significant difference between students who were interested in primary care versus surgery (Fig. 4A); however, significant changes were observed in Year 4 (Fig. 4B). The influence of family and/or location factors was significantly lower in students who had chosen a surgical specialty in Year 4 compared to primary care, as was the importance of confidently matching into the specialty of choice. Furthermore, specialty prestige and financial incentive were more influential amongst students who were pursuing a surgical specialty. Field interest and lifestyle were not significantly different between the two groups in Year 4.

Fig. 4
figure 4

Factors influencing residency choice between primary care and surgery in Years 1 and 4. Median and interquartile range for the six motivational factors influencing choice of residency specialties from least important (1) to most important (6), comparing A) Year 1 medical students who chose primary care (white square) versus surgical (black triangle) specialties, and B) Year 4 medical students who chose primary care (white square) versus surgical (black triangle) specialties. P-values were calculated using Mann-Whitney U tests

Discussion

The principal finding of this study is that the factors motivating medical student residency preference change over the course of medical school and differ between primary care and surgical specialties. Importantly, these motivational factors did not differ between specialty preference at matriculation. We show that specific factors motivate the final choice between primary care and surgical specialties, providing evidence that may help guide medical schools in promoting more student-tailored curricula that help foster long-term career satisfaction, which is particularly important in this era of increasing physician burnout and worsening mismatch between physician supply and demand.

In the cohort surveyed in this study, a considerable decrease was observed regarding the proportion of students choosing surgical specialties in their final year compared to matriculation. The top residency choices at matriculation were internal medicine (14.5%), emergency medicine (14.5%), orthopedic surgery (14.5%), general surgery (11.8%), pediatrics (7.9%), and OB/GYN (7.9%). In contrast, the top choices for this cohort in their final year were internal medicine (15.4%), emergency medicine (12.3%), family medicine (10.8%), pediatrics (9.2%), OB/GYN (9.2%), and radiology (9.2%). Notably, 25.0% of students at matriculation were interested in primary care, while 38.2% were interested in surgical specialties. In the final year, these results shifted to 35.4 and 15.4%, respectively. The specialty choices that exhibited the greatest absolute change were orthopedic surgery (− 9.9%), family medicine (+ 8.1%), radiology (+ 7.9%), general surgery (− 7.2%), and anesthesiology (+ 6.2%). The final year survey results were similar to the final NRMP Match results for this cohort.

These results are in accord with previous studies, which have demonstrated that ~ 30% of medical graduates now pursue primary care, a globally applicable percentage that has been in decline across multiple countries [22, 30, 46, 47]. Similarly, a decline in graduating medical students choosing surgical specialties has been observed over the years, such that ~ 15% of medical graduates now pursue surgery [6, 7, 48, 49], in line with the percentage observed in our study. The other ~ 55% of graduates mostly pursue emergency medicine, OB/GYN, radiology, anesthesiology, and psychiatry, in varying proportions. Moreover, the declining entry rates of students into primary care and surgery are generally inconsistent with student preferences upon matriculation, as it has been previously reported that students choose residencies different than the ones they claim to be interested in upon matriculation [21,22,23,24,25, 50]. Within this context, our study further supports this by providing the most current investigation of these multi-decade patterns that continue to afflict physician supply.

Importantly, our study additionally aimed to examine the underlying motivational factors that influence residency choice, with particular focus on how these factors change with time and specialty choice. Compared to matriculation, influence of specialty interest and lifestyle were significantly more important when students made their final residency choice, whereas field prestige, financial incentive, and match confidence were significantly less important. Similar temporal trends existed when results were stratified by residency choice amongst primary care and surgical specialties. As the influence of certain factors differed with time and coincided with an increase and decrease in the proportion of students choosing primary care and surgery, respectively, we wanted to test if factor differences existed between these specialty categories over time, as a frequently proposed theory regarding primary care being a less attractive career choice is due to the salary inequality compared to other specialities [51, 52], as well as the lower perceived prestige [22, 53]. At matriculation in our cohort, no significant differences were detected amongst the factor rankings between students interested in primary care versus surgery; however, in the final year, students choosing surgery ranked prestige and financial incentive significantly higher than primary care. In contrast, final year students interested in primary care rated match confidence and family/location factors higher than students in surgery. These results support another previously proposed theory that lifestyle, hours, and training commitment are a common reason that students may shy away from surgical specialties [53,54,55,56]. Finally, both groups expressed a similarly high importance of interest in their chosen field as well.

Interestingly, we believe that these results provide preliminary evidence that students may exhibit different risk-reward profiles based on the type of residency specialty they choose to pursue. Specifically, students interested in surgery may risk successfully matching into these more competitive residencies for the reward of the salary and perceived prestige that accompany many surgical specialties, whereas students pursuing primary care place greater emphasis on family/location requirements that may also relate to match confidence. Vice versa, students interested in surgery may have more competitive application characteristics, giving them greater confidence and having less concern about matching. While these implications would need to be more closely examined amongst larger student cohorts in order to establish more definitive correlation, the associations observed in our study are not without precedent. It has previously been reported, albeit in separate studies, that students pursuing primary care are more motivated by medical lifestyle/work-life balance [23, 29, 32], ease of residency entry [23], and family status [24]. In contrast, students pursuing surgery or other non-primary care fields were more motivated by economics [23, 24, 30, 31], prestige [22, 24], and having more competitive application characteristics [23, 57]. Our study adds to these previous findings by comprehensively assessing the relative influence of many of these factors, not only on the basis of specialty choice, but also, uniquely, in association with different training stages.

However, while students state having high interest in the fields they pursue and contemplate additional key factors supporting that pursuit, many residents and physicians regret or are unsatisfied with their career choice [1, 27, 28], undermining the health of a long-depleted workforce [14,15,16]. One reason, amongst many, that may explain this is that students may not fully understand the specialties they choose and how they align with their personal/career values. Additionally, the formal, informal, and hidden curricula students are exposed to through their interpersonal, organizational, and cultural interactions in medical school can have significant impact on students’ career perceptions [58, 59]. As our study shows, newly matriculated students interested in primary care versus surgery exhibit no differences in their ranking of motivational factors, but many of these factors significantly deviate between the two career paths in the final year, as we have described. This demonstrates, in part, the impact of the medical curriculum. While exposure to the informal and hidden curricula will vary from student-to-student and school-to-school, making it difficult to exactly measure and control, interventions regarding the formal curriculum have been well-established. Particularly, outside of the typical required clinical clerkships, longitudinal and auxiliary experiences have been shown to foster student interest and impact residency choice [24, 29, 30, 33,34,35]. The long-term effects regarding career choice regret and satisfaction have yet to be explored, but these experiential curricular additions offer an opportunity for medical schools to provide more personalized scholastic exposures that cultivate student interests, which could be performed in conjunction with consideration of student values upon matriculation and throughout major training stages.

Study limitations

This study has important limitations to consider. First, analysis was performed on a single U.S. medical student cohort from the University of Connecticut, a public research university with longitudinal curriculum experiences that provide significant exposure to primary care, making external extrapolation challenging, though multi-institutional studies have shown consistent residency choice outcomes between schools [22, 32]. Second, cohort sizes at this institution are roughly ~ 100 students per year, and when considering factors that can dampen response rate for a voluntary survey (student availability, willingness, survey completion, etc.), our sample size was limited, and particularly low for Years 2 and 3, hindering our ability to confidently assess these stages, which may have allowed us to more specifically identify crucial points in the medical curriculum and propose potential interventions that better accommodate student preferences. This small class size also failed to demonstrate interest (at matriculation or in the Match) in child neurology, combined internal medicine and pediatrics, pathology, and physical medicine and rehabilitation, likely owing to the roughly ≤1% national Match outcomes for these specialties [60]. While the Year 4 survey results correlated well with our cohort’s Match outcomes, our limited response rate also failed to identify the high proportion of students who matched into psychiatry, illustrating potential confounding from non-response bias. Finally, while inspired by previous studies, our questionnaire format and delivery method can be improved upon. The anonymous nature of our survey prevented us from tracking the same students throughout the study, limiting more refined longitudinal analysis and potentially introducing selection bias based on the specific respondents at each timepoint. Methods for anonymity through electronic questionnaire distribution could address this and also expand the cohort scope and sample size in future studies. Additionally, the ordinal scale of our ranking system limits weighted analysis of the motivational factors examined in this study. Allowing respondents to attribute influence weight to these ranked factors, as well as expanding the specificity and range of factors surveyed in the questionnaire, such as assessing students’ perceptions of specialty-specific physician burnout and reasons behind factors such as match confidence, could provide more accurate and nuanced results. Overall, addressing these limitations and expanding this research to include a larger cohort from multiple institutions would help to enhance the internal and external validity of future studies.

Conclusion

In summary, this study examined the longitudinal residency choices and motivational factors for a cohort of U.S. medical students, with the aim of generating insight that could aid the training of the next generation of physicians. We identified how residency choices change between the beginning and end of medical school, how the influence of certain factors change over this period, and stratify our results by specialty choice between primary care and surgery. Our study promotes awareness of student preferences, provides a blueprint for future studies to examine these factors on a larger scale, proposes a new theory based on risk-reward balance regarding residency choice, and may help guide medical school curricula in developing more student-tailored approaches to education and training. Eventually, we hope this work can help play a part in addressing the supply and dissatisfaction issues plaguing the physician workforce, which will ultimately improve healthcare outcomes for patients.