Abstract
Objectives
With the high and rising total cost of medical school, medical student debt is an increasing concern for medical students and graduates, with significant potential to impact the well-being of physicians and their patients. We hypothesised that medical student debt levels would be negatively correlated with mental health and academic performance, and would influence career direction (ie, medical specialty choice).
Design
We performed a systematic literature review to identify articles that assessed associations between medical student mental health, academic performance, specialty choice and debt. The databases PubMed, Medline, Embase, Scopus and PsycINFO were searched on 12 April 2017, for combinations of the medical subject headings Medical Student and Debt as search terms. Updates were incorporated on 24 April 2019.
Results
678 articles were identified, of which 52 met the inclusion criteria after being reviewed in full text. The majority of studies were conducted in the USA with some from Canada, New Zealand, Scotland and Australia. The most heavily researched aspect was the association between medical student debt and specialty choice, with the majority of studies finding that medical student debt was associated with pursuit of higher paying specialties. In addition, reported levels of financial stress were high among medical students, and correlated with debt. Finally, debt was also shown to be associated with poorer academic performance.
Conclusions
Medical student debt levels are negatively associated with mental well-being and academic outcomes, and high debt is likely to drive students towards choosing higher paying specialties. Additional prospective studies may be warranted, to better understand how educational debt loads are affecting the well-being, career preparation and career choices of physicians-in-training, which may in turn impact the quality of care provided to their current and future patients.
Keywords: medical student, debt, stress, mental health, academic performance, specialty choice, physician, well-being, vocation, loans, financial
Strengths and limitations of this study.
A unique systematic review that evaluates and integrates the strength of the evidence for the effects of medical education debt on medical students’ and future physicians’ mental health, academic performance and area of specialisation.
Fifty-two articles were included in the initial systematic review, with seven added on 24 April 2019.
This review does not assess evidence from primary literature that was not available in English.
Articles from only six countries met criteria for the systematic review.
Introduction
As medical students’ debt burdens rise along with the cost of education, the potential for this debt to significantly impact their well-being, career preparation and career choices, and thus the quality of care that they can provide to their current and future patients, also grows. This debt has long been a concern for current and prospective medical students, as well as graduates. Education-related costs incurred by medical students may include, at minimum, housing and living expenses, health insurance and tuition fees, and most medical students incur significant debt to cover these costs, usually in the form of government or private loans. In the USA, median indebtedness at graduation was US$192 000 in 2017 compared with US$50 000 in 1992,1 2 which is an approximately 220% increase even after accounting for the rate of inflation. Increases in these costs have outpaced the relative compensation of primary care physicians and specialists, as well as grants and scholarships.3 The effects of this debt are significant and myriad; it can negatively impact mental health and academic performance, and influence specialty choice.4 5 This issue is of great importance with the recent focus on mental health concerns in medical students and physicians.6 7
Background
Medical student debt is commonly accrued as a result of borrowing to cover the costs of medical school tuition fees, housing and living expenses. For many, this debt may be additive with pre-existing educational debt, the levels of which are already considered to constitute a ‘student debt crisis’ in many parts of the world, particularly the USA. Australia has Commonwealth supported places, that is, subsidised university education, available to all Australian citizen university students through the Higher Education Contribution Scheme—Higher Education Loan Programme, which does not incur interest and is repaid once an income threshold is reached (US$51 957 for the 2018–2019 financial year).8 New Zealand has a similar loan system to Australia, with Government Student Loan schemes available to all students. America offers three main types of loans: (1) federal loans, available to all students studying at least half-time, the accumulating interest on which may be subsidised (ie, paid) or unsubsidised (not paid) by the government during the student’s time in school, (2) Stafford or Perkins loans that accrue interest but do not require repayment until 6 months after graduation and (3) private (unsubsidised) loans from third parties like banks or state loans, sometimes offered directly from the student’s college or state.9 Canada offers grants and student loans to those with financial need studying at least part-time, which vary by province and with stated lifetime limits up to 400 weeks (or 520 weeks for those with a permanent disability).10 Typically, these loans do not incur interest until the lifetime limit is reached, and repayments are not commenced until 6 months after the student leaves or completes his/her studies.10
There is contrasting evidence regarding the extent to which debt influences choice of medical specialty.11 Results have varied between studies, with high and low debt being associated with desire for both high paying specialties and practice in primary care. The income gap between primary care and subspecialist physicians has risen to nearly threefold in some countries.12 This wage gap may contribute to the role debt plays in specialty choice. It is important to elucidate the extent to which debt affects these choices, particularly in regard to high levels of physician burnout associated with unsatisfying career choices, and insufficient numbers of primary care doctors in many countries.
Despite these concerning statistics, few studies have explored how medical students’ debt affects their mental health and academic performance. It is important to investigate the links between debt and these outcomes in order to inform interventions aimed at alleviating student stressors, and to guide specialty planning. This review was conducted to appraise the available evidence regarding the extent to which medical student debt impacts mental health, academic performance and specialty choice.
Methods
Search strategy
We searched the databases PubMed, Medline, Embase, Scopus and PsycINFO on 12 April 2017 for combinations of the medical subject headings Medical Student and Debt as search terms. A full string of search terms for PubMed is provided in the online supplementary figure S1. A language filter was then applied to exclude articles not published in English. The databases were searched from inception: PubMed 1996, Medline 1946, Embase 1974, Scopus 2004, and PsycINFO 1967. Updates were incorporated on 24 April 2019.
bmjopen-2019-029980supp001.pdf (78.7KB, pdf)
Eligibility criteria
After the application of this filter, articles were included if they fulfilled the following criteria: (1) a primary clinical research paper; (2) specifically assessed medical students (ie, not mixed with other student groups); (3) reported on the effect of debt on (a) medical student mental health, (b) academic performance or (c) specialty choice and finally (4) available in full text.
Selection of studies
The titles and abstracts of the included publications were examined by one author (MSP), and consensus achieved in cases of uncertainty through discussion with a second author (SB), to determine if they met inclusion criteria. Those publications that were likely to meet the eligibility criteria were reviewed in full text before being included or excluded by one author (MSP). To further reduce any possible selection bias, the suggested included studies were then reviewed again by a second author (ATA) with respect to eligibility. Those for which likely eligibility could not be determined from the title and abstract were also retrieved in full text and analysed for inclusion or exclusion. Interlibrary requests were sent for any full texts that could not be accessed through the online databases. Reference lists of the included articles were searched for other studies that might be eligible.
Data extraction and quality assessment
Extraction of the following data and quality assessment for each of the included articles was completed using a standardised form in Microsoft Excel (Microsoft, Redmond, Washington, USA): study characteristics (description of study protocol, how results were assessed); characteristics of the study population (sample size, stage of medical training, undergraduate or postgraduate degree, country of study); information to evaluate risk of bias (anonymity of surveys, selection bias, presence of control group, selective reporting bias, quality assessment as seen below) and finally outcomes relevant to one of the three areas of interest (mental health, academic performance or specialty choice).
Quality of evidence
The quality of evidence of the included articles was assessed using the Oxford 2011 level of evidence, ‘quality rating scheme for studies and other evidence’, a commonly accepted tool for rating evidence. It rates trials from 1 to 5 as follows: systematic review with meta-analysis, prospective comparative cohort trial, retrospective cohort study, cross-section study and case reports.13 14 The articles’ level of evidence assessment and significant data points are summarised in tables 1-3.
Table 1.
Articles investigating the effect on Mental Health
Study | Year | Sample size | Study design | Significant findings | Oxford level of evidence |
USA studies | |||||
Hafferty et al 5 | 1986 | 96 | Cross-sectional survey | Higher levels of debt associated with greater concern about practise climate. | 4 |
Jackson et al 16 | 2016 | 4402 | Cross-sectional survey | 32.4% met criteria for alcohol abuse/dependence; 80% had burnout, alcohol abuse/dependence or depressive symptoms at time of survey. | 4 |
Marci and Roberts18 | 1998 | 100 | Longitudinal survey | Increasing debt levels positively correlated with worry and negatively correlated with comfort in a linear manner. Comfort with debt was rated from −3 (not comfortable) to +3 (very comfortable) on a Likert scale. For 1997 graduates with debt projections over US$75 000, comfort level was rated significantly lower (−1.86 vs 0.89, p<0.001). | 3 |
Rohlfing et al 22 | 2014 | 3032 | Cross-sectional survey | Each US$50 000 increase in medical student loan debt was associated with increased stress, mainly financial (crude OR 1.54, 95% CI 1.43 to 1.67, adjusted OR 1.55, 95% CI 1.34 to 1.81). | 4 |
Phillips et al 56 | 2016 | 132 | Cross-sectional qualitative study | There were many themes on how students emotionally perceive debt including: debt symbolises lack of social investment; debt reinforces a sense of entitlement. | 4 |
Canadian studies | |||||
Kwong et al 17 | 2005 | 2994 | Cross-sectional survey | Compared with non-rural, rural students reported more debt at both entry to medical school and on graduation. They were also more likely to report fair-to-extreme levels of financial stress compared with non-rural (61.7% vs 55.4%, p=0.03). | 4 |
Merani et al 19 | 2010 | 7795 | Longitudinal survey | More students in 2007 than 2001 expected to graduate with debt (89.7% vs 75.7%). Rose from US$14 500 to US$30 000 in Quebec but US$50 000 to US$90 000 outside Quebec (p<0.0001). Quebec students anticipated less debt and less likely to report financial stress than those outside Quebec. | 3 |
Morra et al 20 | 2008 | 549 | Cross-sectional survey | Perceived financial stress correlated significantly with both current debt (r=0.303) and anticipated debt (r=0.455). The anticipated debt was also able to account for an additional 11.5% of the variance in reported stress over that predicted by current debt alone. | 4 |
Kwong et al 25 | 2002 | 2994 | Cross-sectional survey | Students reported that their financial situation was ‘very’ or ‘extremely’ stressful (21.4% vs 26%), opposite result was found in control groups. | 4 |
McLuckie et al 27 | 2017 | 381 | Cross-sectional survey | Feeling psychologically/emotionally unsupported at their university, which increased through the years of medical training, was a predictor of psychological distress and burnout. This risk was reduced in those who felt supported. | 4 |
New Zealand studies | |||||
Gill et al 15 | 2001 | 179 | Cross-sectional survey | Worrying about debt increased in sixth year students with levels of debt: those who never worried (14%) had debts of US$2500, those who always worried (7%) had debts of US$86 750. Frequency of worrying for all students was never (20%), rarely (10%), sometimes (34%), often (30%), always (5%). | 4 |
Perry and Wilkinson26 | 2010 | 372 | Cross-sectional survey | 32% of students always or often worry about debt, 34% sometimes. The amount of worry was positively correlated with amount of debt. | 4 |
Scottish study | |||||
Ross et al 23 | 2006 | 352 | Cross-sectional survey | 42% reported stress about money contributed to up to one-fourth of their stress, nearly 16% stated stress about money made up >50% of their overall stress; 37.4% thought worrying about money affected their studies. Money came in as the second most common cause of stress after coursework at 78.1%. | 4 |
Australian study | |||||
Rogers et al 24 | 2012 | 755 | Cross-sectional survey | Barriers (including medical specialty choice, family and lifestyle conditions, male domination, hours of work), concern about debt, academic stress accounted for 12.7% of variance on well-being. | 4 |
Table 2.
Articles investigating the effect on academic performance
Study | Year | Sample size | Study design | Significant findings | Oxford level of evidence |
Gill et al 15 | 2001 | 179 | Cross-sectional survey | Impact of debt: 46% said debt never impacted full participation in course, impaired rarely for 31%, sometimes for 21% and often for 2%. | 4 |
Ross et al 23 | 2006 | 352 | Cross-sectional survey | No significant relationship between total debt and performance (as measured using class rank). Students who reported worrying about money affected their performance generally had lower ranks and higher outstanding debt, those who already had a degree were more likely to say that money affects their performance. | 4 |
Andriole and Jeffe28 | 2010 | 86 114 | Retrospective longitudinal study | There was a progressive decrease in the per cent of students graduating with optimal/passing scores with increasing debt levels: no debt—90.1%; 100%–9999%—86.8%; 10 000%–24 999%—87%; 25 000–49 999%—83.6%; >50 000%—76.4%. | 3 |
Jeffe et al 29 | 2014 | 89 948 | Retrospective longitudinal study | Premedical debt was associated with MD-only graduation but not with withdrawal/dismissal compared with MD-PhD graduation. Higher premedical debt (>20 000) was not independently associated with MD-PhD programme attrition. | 3 |
Table 3.
Articles investigating the effect on specialty choice
Study | Year | Sample size | Study design | Significant Findings | Oxford level of evidence |
USA studies associating debt with high paying specialties | |||||
Hafferty and Boulger5 | 1986 | 96 | Cross-sectional survey | Higher debt led to specialist medical fields over generalist. | 4 |
Colquitt et al 11 | 1996 | N/A | Cross-sectional (American Medical Colleges' (AAMC) Medical Student Graduation Questionnaire (GQ) and Matriculating Student Questionnaire (MSQ))) |
High debt led to high paying specialties. | 4 |
Schwartz et al 12 | 2011 | 2421 | Longitudinal survey | Greater debt in 2007 compared with 1990 and students in 2007 were more likely to report that debt repayments pushed them away from primary care careers like internal medicine. | 3 |
Andriole et al 30 | 2008 | 1833 | Cross-sectional survey (AAMC) | Lower debt led to high paying specialties. | 4 |
Azizzadeh et al 31 | 2003 | 111 | Cross-sectional survey | Lower concern about debt led to high paying specialties. | 4 |
Bazzoli32 | 1985 | 3855 | Cross-sectional survey | Higher subsidised debt led to primary care (PC) specialties (US$10 000 increase in debt increases PC by 5.3%). Higher HEAL debt led to high paying specialties (US$10 000 increase decreased PC by 7.5%). |
4 |
Curran et al 33 | 2015 | 27 | Cross-sectional survey | In those not pursuing academic careers due to financial issues, the cited a need for adequate compensation due to debt. | 4 |
Grayson et al 37 | 2012 | 4916 | Longitudinal survey | High debt led to high paying specialties. Placed more value on anticipated higher income. | 3 |
Hauer et al 39 | 2008 | 1177 | Cross-sectional survey | 26.1% stated debt led to less attracted to internal medicine careers (generalist specialties). | 4 |
Andriole and Jeffe28 | 2010 | N/A | Longitudinal survey (AAMC) | Higher debt led to less generalist/primary care specialty choices, but not associated with family medicine specialty choices. | 3 |
Kassebaum and Szenas44 | 1993 | 12 131 | Cross-sectional survey (AAMC) | Debt had a greater influence in those choosing surgical and support specialties compared with generalist and medical specialties. There was also a higher number of students citing an influence in the 1993 graduate class compared with the 1992 class. However, interest in generalist specialties increased during this time compared with the other specialties. | 4 |
Kassebaum and Szenas45 | 1994 | 8128 | Cross-sectional survey (AAMC) | Limited influence but slightly higher for surgical (0.93) compared with generalist (0.54). | 4 |
Kassebaum and Szenas46 | 1993 | 12 096 | Cross-sectional survey (AAMC) | Under-represented minority students were more likely to have debt than white and other non-under-represented minorities (majority students). Minority cited debt as a strong or major influence more frequently, particularly in those wanting to pursue medical/surgical/support specialties compared with generalist certifications. | 4 |
Nguyen and Bounds67 | 2019 | 74 | Cross-sectional survey | Physicians who received full tuition and fee scholarships for college and medical school were surveyed for their specialty choice. Of the 74 respondents (54% response rate), only 18 went into primary care despite having no student debt. | 4 |
Park55 | 1990 | 33 499 | Longitudinal survey (AAMC) | Highest mean debt in those who chose emergency medicine and surgical subspecialties in 1986 and 1989. | 3 |
Phillips et al 64 | 2019 | 6229 | Cross-sectional survey | High debt (US$150 000–US$249 999) was associated with lower odds of intention to work for government organisations in family medicine residents. Those with high debt or very high debt (>US$250 000) had lower odds of intention to pursue academic practice or a geriatrics fellowship. | 4 |
Richards et al 66 | 2018 | 6594 | Longitudinal survey | The proportion of students intending to practice in underserved areas from between 2007 and 2016 (27.5%–35.3% and those with more debt were more likely to practice in underserved areas. These students also intended on using loan-repayment programmes at a higher rate. | 3 |
Rosenblatt and Andrilla57 | 2005 | 14 240 | Cross-sectional survey (AAMC) | Increasing debt inversely correlated with choosing a PC specialty, greatest effect in debt exceeding US$150 000. However, only modest relationship after controlling for other characteristics. Factors like demographic (race, age, gender) has a more significant effect. | 4 |
Rosenthal et al 59 | 1996 | 326 | Longitudinal survey | Higher debt associated with not choosing family practice specialties. | 3 |
Scheckel et al 65 | 2019 | 13 097 | Longitudinal survey | Graduates who were above the 75th percentile of debt moved more towards non-primary care (NPC) positions, with an increase from 74.4% to 79.9% from 2007 to 2016. Over the same time period, there was greater interest in primary care positions in those below the 25th percentile of debt, increasing from 24.6% to 29.4%. Graduates with a loan forgiveness/repayment programme were more likely to choose primary care over graduates without such a programme. | 3 |
USA studies associating debt with low paying specialties | |||||
Phillips et al 21 | 2010 | 983 | Cross-sectional survey | Those with any level of debt were two-times as likely to choose PC compared with no debt, but those with no debt were less likely to be under-represented minorities and their families had higher incomes. Also, those from middle-income families were less likely to choose primary care as their debt levels increased. | 4 |
Rohlfing et al 22 | 2014 | 3032 | Cross-sectional survey | Each decrease in relative debt decreased salary of desired specialty by US$21 000, there was not a statistically significant relationship with an increase in relative debt. An increase in premedical student loan debt by US$20 000 increased chance of choosing a PC specialty. Contrarily, a decrease in relative debt as measured by an increased proportion of estimated cost of attendance saved was also associated with choosing PC. |
4 |
Bazzoli32 | 1985 | 3855 | Cross-sectional survey | Higher subsidised debt led to primary care specialties (US$10 000 increase in debt increases PC by 5.3%). Higher HEAL debt led to high paying specialties (US$10 000 increase decreased PC by 7.5%). |
4 |
Greenberg et al 38 | 2013 | 239 | Cross-sectional survey | Higher debt led to academic medicine. | 4 |
Henderson et al 40 | 1996 | 144 | Longitudinal survey (preclerkship and postclerkship survey) | High debt led to primary care specialties. | 3 |
Jeffe et al 42 | 2008 | 87 763 | Retrospective longitudinal (AAMC) | Lower debt led to more likely to stay with academic medicine if considered initially. But does not increase chance of changing to academic medicine if did not initially consider it. | 3 |
Kassebaum and Szenas44 | 1994 | 8128 | Cross-sectional survey | Higher debt led to more generalist/primary care specialty choices. Increased citing debt as minor or moderate influence from 1992 to 1993 (23.6% → 28.5%) and strong/major (6.2% → 11.9%). However, increased interest in generalist specialties and decline in medical and support specialties. Declined interest in surgical specialties from public school graduates but increase from private school graduates. |
4 |
McLaughlin et al 63 | 1991 | 983 | Longitudinal survey | Mean debt rising correlated with effect on ‘choice of specialty’, but weak relationship. Ratings of effect of debt greater in lower pay specialties compared with higher paying. | 3 |
USA studies which found no or minimal association between debt and specialty choice | |||||
Diamond et al 34 | 1994 | 104 | Cross-sectional survey (conjoint analysis) | Out of 6 factors asked for influencing specialty choice, loan repayment contributed 5% and debt 4% of variance in specialty choice. The other factors were more influential. | 4 |
Gil et al 35 | 2016 | 415 | Cross-sectional survey (12 centres) | No significant influence. | 4 |
Kahn et al 43 | 2006 | 2022 | Retrospective longitudinal study | No significant influence. | 3 |
Kassebaum et al 47 | 1996 | 7848 | Cross-sectional study (AAMC) | No significant influence. | 3 |
Kassler et al 48 | 1991 | 293 | Cross-sectional survey (eight medical schools) | No significant influence. | 4 |
Mutha et al 52 | 1997 | 52 | Cross-sectional study (group discussion) | No significant influence. | 4 |
Paiva et al 54 | 1982 | 144 | Cross-sectional study | Level of education debt did not have a significant influence on career choices: 1.7% rating it as very important compared with approximately 73% rating it as none. | 4 |
2016 | 29 227 | Cross-sectional study (AAMC 11–13) | Educational debt was ranked as the least influential factor in choosing a specialty out of the factors listed. | 4 | |
Rosenthal et al 58 | 1994 | 688 | Cross-sectional study | Little difference in mean debt between those selecting PC and NPC. However, 10% of NPC students said they would change to PC if medical school loans were repaid. | 4 |
USA studies finding an association between debt and specialty choice but did not specify direction | |||||
Marci and Roberts18 | 1998 | 400 | Longitudinal survey | At debt <US$75 000 and influence on specialty choice not correlated. At debt US$25 000–US$75 000 increasing debt correlated with increasing influence. At debt >US$75 000 had more influence on specialty choice. |
3 |
Mader et al 49 | 2014 | 500 | Longitudinal survey | Influence on specialty choice for “amount of educational debt I have” rose in importance from the beginning of first year to third year, while interest in content declined. | 3 |
Phillips et al 56 | 2016 | 132 | Cross-sectional qualitative (essays) | 48% said debt limited career choice preferences. | 4 |
Teitelbaum et al 60 | 2009 | 2345 | Cross-sectional survey (21 colleges of osteopathic medicine and 2 branch campuses) | As average debt increased, students were more likely to say it had an impact on specialty choice. However, 62.8% said debt had no impact. | 4 |
Studies outside the USA finding an association between debt and specialty choice | |||||
Canada | |||||
Kwong et al 17 | 2005 | 2994 | Cross-sectional survey | More urban students reported that financial considerations around debt would be a major influence on specialty choice. However, more rural students than urban students enter with debt and among those with debt have greater debt at both entry and completion of medical school. |
4 |
Kwong et al 25 | 2002 | 2994 | Longitudinal survey | Students reported debt being a major influence on choice of specialty and was higher in first- year students compared with fourth-year students. More students in 2000 (28.5%) compared with 1997 (21.2%) stated financial considerations would be a major influence on chosen practice location. |
3 |
Gill et al 36 | 2012 | 280 | Cross-sectional survey | Medical students with urban background: specialty choice influenced by current debt load. | 4 |
Morra et al 51 | 2009 | 560 | Cross-sectional survey | Higher debt→ higher paying specialty: 54%–64% of students agreed with the statement that “it is better to do a specialty as you will make more money and be able to pay off your debt faster”, with remainder agreeing that a student should “Do family medicine as the residency is shorter so you can start paying off your debt faster”. | 4 |
Vanasse et al 61 | 2011 | 1776 | Cross-sectional descriptive survey | In the preclinical years, 30% of those intending to practise family medicine said doing a shorter residency is better to start paying off debt sooner while 28.8% of those intending to practise other specialties said it is better to do a specialty to make more money and pay off the debt. Similar results were found in the clinical years with 39.4% and 35.2%, respectively. | 4 |
New Zealand | |||||
Gill et al 4 | 2001 | 179 | Cross-sectional survey | In sixth-year students, there was a slight trend those with higher debt to exclude GP from their top three preferences, however this was not statistically significant. 16% stated level of debt as a very important and strong influence on career choice. |
4 |
Ling et al 68 | 2018 | 3121 | Cross-sectional survey | Medical and pharmacy students with higher debt were more likely to prefer rural practice. Medical students exhibited little influence of debt on career choice, and those with higher levels of debt were less concerned over career financial prospects. There was no correlation between debt level and interest in a primary care specialty. | 4 |
Perry and Wilkinson26 | 2010 | 372 | Cross-sectional survey | 36% said debt influence specialty choice to at least a moderate amount or more; 13% said less debt would change specialty decision, location of work or doing locum work. Those with greater debt were more likely to say having less debt would affect their career choice. | 4 |
McHardy et al 50 | 2008 | 115 | Cross-sectional survey | 11% reported degree of debt would have a significant influence on their career choice. | 4 |
O’Grady and Fitzjohn53 | 2001 | 407 | Cross-sectional survey | No significant influence, association between debt and likelihood of practising overseas: 31.3% of students with debt >60 000 planning to mainly or only practise overseas, compared with 20.3% of those with debts <60 000. | 4 |
Singapore | |||||
Fong, et al 69 | 2018 | Cross-sectional survey | 40.5% of the 1241 students studied were to graduate with debt. Those with debt (unadjusted OR 1.623, 95% CI 1.261 to 2.090, p<0.001; adjusted OR 1.393, 95% CI 1.048 to 1.851, p=0.022) were more likely to have an economic factor very significantly influencing postgraduate training choices. | 4 |
HEAL, health education assistance loans; N/A, not available.
Role of funding source
The University of Adelaide provided institutional funds for retrieval of interlibrary requests.
Patient and public involvement
Patients and the public were not involved in this systematic review.
Results
On the initial database searches, 678 potential articles were identified. Six hundred and sixty-seven of these were in English, and after reviewing these titles and abstracts, two hundred and twenty were reviewed in full text. Fifty-two articles met the inclusion criteria and were included in this review (figure 1). A further seven articles were added in the 24th of April 2019 review.
Figure 1.
Flow chart detailing results of the search strategy and application of the eligibility criteria for a review of articles investigating the effects of medical student debt on mental health, academic performance or specialty choice.
The majority of the identified (included) studies examined the influence of debt on specialty choice. Only 14 articles assessed the influence of debt on (a) medical student mental health.5 15–27 Four studies assessed debt in relation to (b) academic performance.15 23 28 29 Fifty articles assessed the relationship between debt and (C) specialty choice.4 5 11 12 17 18 21 22 25 26 30–69 Several articles fell under one or more of these categories. All but one27 of the additional articles from the 2019 review examined the effect on (c) specialty choice.64–69
Effect on mental health
The 14 studies identified that assessed the impact of debt on different aspects of medical student mental health included results from several countries: the USA,5 16 18 22 56 Canada,17 19 20 25 27 New Zealand,15 26 Scotland23 and Australia24 (table 1). These studies mainly focused on the effect of debt on stress levels, rather than on symptoms of anxiety or depression. Reported levels of financial stress were typically high and correlated with debt levels at a statistically significant level (p<0.05) (table 1).
The publications with data collected from medical students in the USA found clear correlation between higher levels of debt and stress levels. In a study of 3032 postgraduate medical students, Rohlfing et al 22 found that each US$50 000 increase in medical student loan debt was associated with increased self-reported stress. This stress was mainly financial, that is, related to concerns over repaying or managing debt. Another study found increasing debt levels to be positively correlated with worry and negatively correlated with comfort when rated on a Likert scale.18
Canadian studies demonstrated that junior students were more likely to report significant stress associated with finances. For example, one study found first-year medical students were more likely to report that their financial situation was very or extremely stressful (20.5%) compared with fourth-year students (17.5%).25 Those earlier in their education were found to have higher anticipated debt levels, which accounted for an additional 11.5% variance in reported stress levels when added to current debt, over that predicted by current debt alone.20 It was also found that rural students had higher levels of financial stress compared with non-rural students.17 These results were consistent with those seen in a large study by Merani et al 19 that examined the financial stress levels of 7795 medical students from across Canada, lower stress levels were experienced by students in Quebec (where medical school tuition had remained stable), compared with those outside Quebec (where medical student tuition had risen dramatically).19 A more recent 2018 study found that one of the predictors for burnout and psychological distress was feeling psychologically/emotionally unsupported at their university, which increased through the years of medical training.27
In contrast, a study of 170 New Zealand undergraduate students found that concern about debt was higher in more senior (sixth-year) students, and predictably, in those who had higher levels of debt.15 In this study, those who reported that they never worried about debt (14%) had average debts of $2500 (New Zealand Dollars (NZD)), whereas those reporting that they always worried about debt (7%) had on average $NZD86 750 in debt. These results were supported by another New Zealand-based study, which showed a positive correlation between worry and indebtedness, with 32% of all students reporting worrying about debt ‘often’ or ‘always’.26 Studies from Scotland and Australia reported similar findings.23 24
Another study used a prompted-essay type format to examine how medical students in the USA emotionally perceived debt in the context of career planning.56 Common themes highlighted by the authors suggested that the responding students felt their debt burdens reflected a lack of societal investment in medical education; that their sacrifices related to that debt were underappreciated by most outside of their profession and that these debt burdens and consequent sacrifices appeared to leave them feeling entitled to certain income and lifestyle expectations going forward. Also concerning, Jackson et al 16 measured alcohol dependence in medical students using the Alcohol Use Disorders Identification Test screening tool, and found alcohol abuse/dependence was significantly more common in those with >US$100 000 in educational debt (p<0.01).16 Nonetheless, the majority of students considered their debt in a positive manner: 45% sought ways to avoid accumulating more, 22% managed debt proactively and only 2% deliberately avoided thinking about debt’s consequences and ways to manage it.56
Effect on academic performance
The correlation between academic performance and debt was only investigated in four articles,4 23 28 29 shown in table 2. Debt was negatively correlated with academic performance in three of these reports,4 23 28 while one study showed no correlation between debt and attrition rates (table 2).29
One group found suboptimal academic outcomes in those with debts over US$10 000, and a progressive decrease in the percentage of students graduating with optimal outcomes as debt rose; 90.1% of students with no debt achieved a passing score on their first attempt at a high stakes examination, while only 76.4% of those with debt >US$50 000 passed on their first attempt.28 Ross et al 23 found that although there was no significant relationship between total debt and class rank, the students who reported that financial worries affected their performance had lower class ranks and higher debt.23 Those who had a previous degree were also more likely to state that money affects their academic performance.23 Similarly, Gill et al 15analysed students’ opinions of the effect of debt on their participation in the degree, and 21% of respondents stated that debt ‘sometimes’ impacted their ability to fully participate in their course of study.15 However, 46% stated debt never impacted them, and 31% said it rarely impacted them.15 Other studies have suggested that higher debt levels,70 or matriculation in MD-PhD programmes that are not ‘fully funded’ (ie, not supported by federal Medical Scientist Training Program (MSTP) funding),29 may increase likelihood of attrition from MD-PhD programmes.
Effect on specialty choice
The association between debt and specialty choice was assessed in a large number of studies,4 5 11 12 17 18 21 22 25 26 30–69 each of which are listed individually in table 3. There were more longitudinal studies in this area than there were studies that assessed the impact of debt on mental health or academic performance. The studies typically divided specialty choices into high paying specialties versus low paying areas (most commonly family practice/primary care). Higher paying specialties typically included surgery, dermatology, neurology, ophthalmology, radiology and other surgical and medical subspecialties. The results were varied. Overall, the majority (21) of the articles found that the presence of debt was associated with the choice of higher paying specialties.5 11 12 22 30–33 37 39 41 44–46 51 55 57 59 64–67 Nine articles found that the presence of debt was associated with lower paying specialty choices.17 22 32 38 40 42 44 56 63 A further 10 articles said there was no or minimal effect,34 35 43 47 48 52–54 62 and 13 articles found there was an association but did not further explore the nature of this relationship.4 17 18 25 26 36 49 50 56 60 68 69 The majority of these studies were conducted in the USA (table 3).
Studies conducted in the USA examining the effect of debt on specialty choice
Twenty articles from the USA5 11 12 22 30–33 37 39 41 44–46 51 55 57 59 64–67 found that the presence of significant debt was associated with higher paying specialty choice. Eight articles17 22 32 38 40 42 44 56 63 found debt was associated with a greater degree with lower paying specialties like primary care/family practice and academic medicine, compared with other medical and surgical specialties. Nine US publications found that debt did not significantly influence specialty choice.34 35 43 47 48 52–54 62 Four studies18 49 56 60 found that debt levels had an effect on specialty choice, but did not clarify in which direction.
One of the most authoritative studies in this area was a longitudinal study of 4916 US medical students, conducted by Grayson et al 37 from 1992 to 2012. This study found that first-year and fourth-year medical students wanting to pursue high paying non-primary care careers anticipated a greater debt burden, placed higher importance on income and anticipated greater incomes, compared with their same-year peers seeking a career in primary care. Moreover, 31% of those reporting intending to pursue primary care at year 1 had decided to switch to a higher paying specialty by year 4, with debt and income appearing to be driving factors.37 Another longitudinal study by Jeffe et al 41 found that from 1997 to 2006, the proportion of medical students with at least US$150 000 total debt at graduation rose from 6.7% to 35.9%, in conjunction with a decline in the number of physicians pursuing generalised primary care. Similarly, Schwartz et al 12 found greater debt in 2007 compared with 1990, and students in 2007 were more likely to report that debt repayments pushed them away from primary care careers. More recently, high debt levels (US$150 000–US$249 999) of family medicine residents were associated with decreased odds of working in a government organisation, and very high debt levels (>US$250 000) associated with decreased odds of academic practice or geriatric fellowships.64
Although less frequently examined, loan types were also found to play a role in specialty choice. For example, Bazzoli32 examined both subsidised loans with lower interest rates that only accrue after graduation/residency, and health education assistance loans (HEAL) which had comparatively higher interest rates with accrual beginning from the date of taking the loan (ie, unsubsidised). Higher relative debt accrued from subsidised loan programmes seemed to predict primary care as a specialty choice, whereas higher (unsubsidised) HEAL debt was associated with higher paying specialties.32 These findings were consistent with more recent studies of osteopathic medical students.65 66 Conversely, Nguyen and Bounds67 found that only 24% chose primary care despite having no student debt.
Studies conducted outside the USA examining the effect of debt on specialty choice
There were five Canadian studies17 25 36 51 61 that looked at the effect of debt on specialty choice. Three articles found there was an affect but did not specify the influence,17 25 36 one found higher debt was associated with a preference for family medicine,61 and the remaining publication found debt to be associated with higher paying specialties.51 Two reports found that current debt load affected urban students’ preference for specialty choice, but had no statistically significant influence for rural students.17 36 Vanasse et al 61 found that higher expected debt on completion of medical school was a strong predictor of desire to do family medicine. Morra et al 51 provided an interesting possible insight into this pattern. This study found that a large number of students agreed with the rationale of doing family medicine to start paying off their debt faster, as the residency is shorter.51
Several studies were identified that studied the influence of debt on specialty choice in New Zealand.4 26 50 68 In these studies, debt was found to influence specialty choice, but generally it was not specified whether the directionality was towards higher paying specialties or primary care. McHardy et al 50 found that 11% of students reported debt would have a significant influence on their career choice. Likewise, Gill et al 4 found 16% of students stated level of debt as an important and strong influence on their career choice. They also noted that in sixth-year students there was a slight trend for those with higher debt to exclude general practice from their top three preferences but not to a statistically significant level. A more recent study from New Zealand found complex relationships that varied with one’s medical profession, and preference for rural versus urban practice.68
One 2018 Singaporean study investigated the associations between economic factors and residency choices. It found 40.5% of the 1241 students studied were to graduate with debt, and these students were more likely to rank an economic factor as significantly influencing their postgraduate training.69
Discussion
The majority of studies meeting the eligibility criteria and examined in this review support the notion that educational debt burden has a profound and often negative impact on medical students. Many studies reported debt as having adverse effects on student stress levels, and in some cases being associated with troubling patterns of alcohol use.16 Other reports strongly suggested that debt may also adversely affect academic performance.
Although few studies explored other aspects of students’ mental health, one example that did assess other aspects of their mental health was an Australian study by Rogers et al.24 This study identified personality traits that accounted for variances in levels of psychological stress: students with higher levels of extraversion, conscientiousness, professional expectations and lifestyle expectations, and lower levels of neuroticism, reported better well-being. In addition, future work could aim to prospectively investigate the interactions between resilience, debt and psychological distress in medical students. Results from such studies could underpin future targeted interventional strategies to maximise medical student mental health.
The influence of debt on specialty choice has been investigated much more extensively, although the majority of these studies have been conducted in the USA. These studies have produced conflicting results, and the generalisability of these findings to other countries with different socioeconomic structures may be limited. Another significant finding evident in multiple studies was differences between urban and rural students. Students from urban backgrounds were more likely to report debt as influencing their specialty choice and increasing the likelihood of them choosing higher paying specialties. Conversely, those from rural backgrounds were less likely to report an effect despite commonly having greater debt levels and/or coming from lower socioeconomic backgrounds.17 36 Together these findings illustrate the need to more clearly assess (and control for) whether one’s socioeconomic background/financial liquidity in itself is a determinant of preferred practice area, with incurred debt being simply a consequence thereof, for example, do individuals of greater or lesser financial means gravitate towards higher or lower paying practice areas, and for what reasons—or are one’s socioeconomic background and educational debt burden separate and independent predictors of specialty choice? Future studies in this area would help answer these key questions.
The vast majority of studies identified were cross-sectional in nature. Of the 52 articles included, there were only 6 prospective studies,29 37 41 42 49 59 which primarily focused on the effects of debt on influencing specialty choice. The lack of longitudinal studies is important to consider, given the dynamic nature of debt and its capacity to compound. The majority of studies employed self-report questionnaires. Likert scale-type responses were commonly used. Few studies were identified that used alternative methodologies such as interviews or focus groups, although at least one study used a prompted-essay response design.56
Furthermore, no qualifying studies could be located that examined the effects of interventions targeting debt on medical student mental health, academic performance or specialty choice. Given debt’s influence on these parameters has has been identified by the observational studies in this review, it may be reasonable to hypothesise that such interventions could influence these outcomes. Some possible debt-targeting interventions worth exploring for their effects on these outcomes, perhaps even in a prospective study, are loan forgiveness programmes. Along a similar theme, one report compared the impact of unsubsidised versus subsidised loans (a form of debt forgiveness) on specialty choice, and found those with greater unsubsidised loan burdens were more likely to pursue higher paying specialties.32 Further research yielded additional information on loan forgiveness. The US Public Service Loan Forgiveness programme, established in 2007, advertises complete (remaining) loan forgiveness for public-sector/non-profit employees after they have made 120 qualifying monthly payments. One study found more future primary care physicians intended to use this programme compared with programmes expressly designed to promote primary care.71 A survey on physician recruiting incentives reported that for 31% of respondents, whether or not a potential employer (eg, a hospital) offered educational loan forgiveness as a job incentive would have a great effect on selecting an offer.72 Findings from a very recent study of osteopathic medical graduates ‘consistently showed that graduates with a loan forgiveness/repayment programme were more likely to choose primary care over graduates without such a programme’.65 Another similar recent study reported that osteopathic ‘graduates with the most debt intended to practice in underserved areas at a higher percentage than those with the least amount of debt, and they also planned on using loan-repayment programmes at a higher rate’.66 More studies are needed in these areas, to determine whether loan forgiveness or similar programmes can obviate some the negative impacts that debt burden has on medical student mental health, academic performance and specialty choice.
Interestingly, while many studies supported the notion that significant medical school debt may drive some graduates away from primary care or other lower paying practice areas, particularly in the absence of loan repayment programmes, the converse may not necessarily be true, that is, at least one recent study suggests that the absence of medical student debt alone does not appear to drive more graduates into primary care.67
The majority of articles assessed whole-year level cohorts and were anonymous, which helped to minimise any selective reporting bias. However, many studies had small sample sizes, the smallest being 27,33 while some sample sizes were not specified.41 This raises the issue of possible non-response bias, which could have influenced results in studies with smaller sample sizes. There was also concern of differing stress levels depending on the time of the year the survey was administered. Ross et al 23 acknowledged this, with their survey being released just before the examination period, which may have contributed to general stress levels as well as low response rate.
Because our initial full search and meta-analysis was performed in April 2017, which is a potential limitation of this study for publication in 2019, we incorporated key search updates on 24 April 2019. This more recent search revealed similar findings to those already concluded, in particular the majority of articles being related to specialty choice. Examples of the most recent studies64–69 are included throughout the ‘Results’ and ‘Discussion’ sections.
We also recognise the exclusion of non-English language publications as a potential limitation of this review. Additionally, there is the possibility of selective outcome reporting or publication bias that may have influenced the conclusions formed.
Additional prospective studies investigating the effects of debt on all three areas examined in this review are likely to be beneficial, especially regarding the influence of debt on medical student mental health. Furthermore, the international generalisability of studies conducted in other countries may be limited, due to a range of often significant cultural, socioeconomic, sociopolitical and structural differences regarding the costs and financial responsibilities for medical education. Many countries around the world, for example, have far greater opportunities for tuition-free medical education than others, thus making medical education debt a non-issue for some students. Accordingly, studies examining these issues may be warranted in countries in which it has not yet been examined. Future interventional studies may be useful, for example, in regard to addressing shortages of primary care physicians.
Conclusions
Medical student debt is negatively associated with mental well-being, academic outcomes and may drive physicians to practice in higher paying specialty areas rather than primary care. Further prospective studies are warranted, and student debt may be a suitable target for interventional studies aiming to improve or influence these outcomes in future.
Supplementary Material
Footnotes
Contributors: Conception of the work: JL, M-LW, SB, MSP. Design of the work: MSP, SB, ATA, SWP. Acquisition, analysis or interpretation of data: MSP, SB, ATA, SWP, MW, M-LW, JL. Drafted the manuscript: MSP, SB, ATA. Revised the manuscript for intellectual content: SWP, MW, M-LW, JL.
Funding: This work was supported by institutional funds from the University of Adelaide, and from the State University of New York (SUNY) Upstate Medical University. This paper is subject to the SUNY Open Access Policy.
Competing interests: None declared.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data sharing statement: All data relevant to the study are included in the article or uploaded as supplementary information.
Patient consent for publication: Not required.
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Supplementary Materials
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