Abstract
Objective
To examine the association between physician race/ethnicity, workplace discrimination, and physician job turnover.
Methods
Cross-sectional, national survey conducted in 2006–2007 of practicing physicians [n = 529] randomly identified via the American Medical Association Masterfile and The National Medical Association membership roster. We assessed the relationships between career racial/ethnic discrimination at work and several career-related dependent variables, including 2 measures of physician turnover, career satisfaction, and contemplation of career change. We used standard frequency analyses, odds ratios and χ2 statistics, and multivariate logistic regression modeling to evaluate these associations.
Results
Physicians who self-identified as nonmajority were significantly more likely to have left at least 1 job because of workplace discrimination (black, 29%; Asian, 24%; other race, 21%; Hispanic/Latino, 20%; white, 9%). In multivariate models, having experienced racial/ethnic discrimination at work was associated with high job turnover [adjusted odes ratio, 2.7; 95% CI, 1.4–4.9]. Among physicians who experienced work-place discrimination, only 45% of physicians were satisfied with their careers (vs 88% among those who had not experienced workplace discrimination, p value < .01], and 40% were con-templating a career change (vs 10% among those who had not experienced workplace discrimination, p value < .001).
Conclusion
Workplace discrimination is associated with physician job turnover, career dissatisfaction, and contemplation of career change. These findings underscore the importance of monitoring for workplace discrimination and responding when opportunities for intervention and retention still exist.
Keywords: health care careers, hospital/office administration, race/ethnicity
Prior national surveys indicate that physician experiences of workplace discrimination are common and consequential. Physician surveys have consistently found that the majority of racial/ethnic minority physicians state they experience racial/ethnic discrimination in the workplace.1–3 Other studies have suggested that workplace discrimination may contribute to disparate career outcomes among racial/ethnic minority physicians such as lower rates of promotion and career satisfaction when compared with nonminority physician peers with similar productivity,4–7 Furthermore, research from non–health care fields has found significant associations between self-reported experiences of racial/ ethnic discrimination at work and the likelihood of leaving that job, ie, job turnover.8–12 However, this association has not been investigated in health care, and it is unknown whether physicians who experience racial/ethnic workplace discrimination are more likely than those who do not to leave a position or to consider leaving medicine altogether.
Investigating the role of racial/ethnic discrimination in physician job turnover may provide insights into consequences of workplace discrimination not yet explored in the literature. Physician job turnover is a particularly important career outcome to examine because it negatively affects the cost and quality of health care delivery.13–15 Physician job turnover is significantly associated with decreased patient satisfaction14 and lowered quality of preventive care.15 In addition, physician job turnover can be expensive for organizations in terms of recruitment costs.16 reduced morale, and increased workload among remaining healthcare providers,17 As the United States seeks to reduce health inequities through recruiting and retaining a diverse health care workforce, understanding the influence of workplace discrimination on physician job turnover is critical.
In this study, we primarily sought to explore the associations between physician experiences of racial/ethnic discrimination at work and physician job turnover. We conducted a national survey with a sample of racially/ethnically diverse practicing physicians. We assessed the relationship between physician self-reports of racial/ethnic workplace discrimination experienced over the physicians’ entire career course and the number of job turnovers during their careers. Secondarily, we asked physicians if they had ever left a job since completing medical school specifically because of any type of workplace discrimination, and we examined correlates of this experience. We also asked about career satisfaction, including whether the physician was contemplating a career change.
METHODS
Study Design and Sample
We surveyed a national sample of practicing physicians in the United States, excluding residents and fellows. We randomly identified 1500 physicians using the American Medical Association (AMA) Masterfile, a database including all physicians in the United States.18 Because we needed to ensure adequate representation of black physicians for our planned analyses and race/ethnicity data were not available for the AMA Masterfile, we also randomly selected 250 physicians from the National Medical Association (MMA) membership roster, which includes active and inactive members. (The NMA was established to represent physicians of African descent.19) The study was approved by the Yale School of Medicine Human Investigations Committee.
The final AMA Masterfile sampling frame included 884 eligible physicians. We excluded deceased physicians (n = 15) and physicians with incorrect or unverifiable contact information (n = 601). A total of 469 physicians returned completed surveys (response rate 53% or 469/884).20 Physicians for whom we could not identify correct contact information and nonrespondents did not differ significantly from respondents regarding specialty, age, or geographic location.
Twenty-seven physicians identified through the AMA Masterfile self-identified as black. An additional 60 physicians identified through the NMA membership roster completed the questionnaire; all self-identified as black. The NMA mailings were coordinated by an independent vendor, and we were unable to confirm participant mailing addresses. Therefore, we could not determine how many NMA member nonresponses could be attributed to inaccurate contact information. Comparing black respondents identified through the 2 registries, we did not find any statistically significant differences in demographic characteristics (ie, age, specialty, geographic location) or in the outcome measures of experienced discrimination or job turnover. We therefore combined the 2 samples for our analyses, resulting in a final sample of 529 physician respondents (469 recruited via the AMA Masterfile and 60 recruited via the NMA membership roster), of whom 87 self-identified as black. Including the NMA respondents and nonrespondents in response rate calculations yields an overall response rate of 46.6% (529/1134).
Data Collection and Variables
The survey, conducted between October 2006 and February 2007 in 3 mailing waves, included 35 items adapted from prior surveys and developed from hypotheses generated in previous qualitative work.1–3,5,21,22 Survey recipients received either a $2 bill or entry into a gift certificate lottery to encourage participation. The questionnaire was pilot tested with 20 physicians in training prior to final revisions.
We defined discrimination on the questionnaire as the unfavorable or unfair treatment of a person or group of persons in comparison to others who are not members of that group, and used the terms experienced discrimination and experiences of discrimination here to refer specifically to self-reported perceived discrimination. To assess physicians’ personal experience of racial/ethnic discrimination over their career, we used an item adapted from prior national physician surveys:2,3 “Since completing medical training, how often have you personally experienced discrimination because of your race or ethnicity at work?” Response options were never, rarely, usually, often, or very often. As outlined in the project protocol, we dichotomized responses for analysis to generate meaningful discrimination-related binary outcomes (0, never or rarely; 1, usually, often, or very often).23
As defined by the Bureau of Labor Statistics,24 job turnover is the “separation of an employee from an establishment (voluntary, involuntary, or other)”. We included 2 items to assess job turnover adapted from prior surveys.25,26 First, we asked physicians to rate their level of agreement with the statement, “I have left a job, since completing medical training, because I was discriminated against there.” We dichotomized response options for analysis (0, neutral, disagree, or strongly disagree; 1, agree or strongly agree).23 Respondents who answered “agree” or “strongly agree” were characterized as having at least 1 job turnover because of any type of workplace discrimination. Second, we asked physicians. “How many times have you unexpectedly changed jobs since you completed medical training (excluding changes because of promotion or advancement opportunity)?” Response options included 0 to 2, 3 to 5, 6 to 8, and 10 or more times. Per our protocol, respondents who answered “at least 3 times” were defined as having high job turnover.
We also asked physicians about leaving the medical profession and career satisfaction. Physicians rated their level of agreement with the statements, “I am contemplating changing careers” and “I am satisfied with my career to date”; responses were dichotomized for analysis (0, neutral, disagree, or strongly disagree; 1, agree or strongly agree).
We measured several physician characteristics, including race (black, Asian, white, other) and Hispanic/Latino ethnicity. We categorized self-identified race/ethnicity for analysis as white (non-Hispanic white), black (non-Hispanic black), Hispanic/Latino (which included individuals who self-identified as Hispanic/Latino regardless of race), Asian (non-Hispanic Asian), and other (non-Hispanic other race). Other measured personal characteristics included sex, nativity, age, religious affiliation, sexual orientation, and relationship status.
We also measured respondents’ medical school location (US/Canada or international medical graduate), board certification status, and annual individual pretax income. Specialty categories included primary care specialties (including general internal medicine, general pediatrics, and family medicine), internal medicine subspecialties, pediatric subspecialties, general surgery, surgical subspecialties, obstetrics/gynecology or obstetrics/gynecology subspecialties, and other (including all specialties for which we received fewer than 10 respondents). Primary work site zip codes were categorized into 4 US geographic regions.
Data Analysis
We used standard frequency analyses to describe the proportions of physicians experiencing discrimination and high job turnover. Using odds ratios and χ2 statistics, we estimated and tested the statistical significance of associations between our outcomes and physician characteristics. We used multivariate logistic regression to estimate adjusted associations. Multivariate models included independent variables that were significantly associated (p ≤ .05) with the job turnover outcomes of “at least 1 job turnover because of discrimination” or “high job turnover” in unadjusted analyses. We tested for interactions between race/ethnicity and the other covariates in multivariate models, but none was significant (p > .05); therefore, interaction terms were dropped from the final models. We further tested for a modifying effect of gender in stratified analyses; gender did not significantly affect the association between race and job turnover outcomes within self-identified racial/ethnic subgroups. Therefore, we built 1 multivariate model to assess the adjusted associations between race and each job turnover outcome. We also tested colinearity for variables under consideration for inclusion in the regression models. It was decided a priori to include physician age and/or years in practice in both multivariate models. Physician age and years in practice were colinear (correlation coefficient, 0.6); age was included in the adjusted models. All analyses were conducted with SAS statistical software version 9.2 (SAS Institute Inc, Gary, North Carolina).
RESULTS
Sample Characteristics
Responding physicians represented a wide range of demographic and professional characteristics (Table 1). The majority of respondents identified their race as white (59%). Black physicians (17%) were overrepresented in proportion to their prevalence in the US physician population (approximately 3%).27 Also, Asian (15%) and Hispanic (6%) physicians were slightly over-represented in proportion to their prevalence in the US physician population compared with national statistics (approximately 6% and 3%, respectively).27 The sex distribution of the respondents reflected the current practicing physician workforce distribution; 71% of respondents were male,27 Almost half of the sample (46%) was aged 49 years or younger; 56% of respondents worked in private group or solo practice. Most respondents were born in the US and attended medical school in either the United States or Canada. In addition, respondents represented diverse religious affiliations and specialties.
Table 1.
Personal Characteristic | Na (%) | Professional Characteristic | Na (%) or Mean ± SD |
---|---|---|---|
Race/ethnicity | Medical school location | ||
Non-Hispanic white | 310 (58.6) | United States or Canada | 430 (81.6) |
Non-Hispanic black | 87 (16.4) | Specialty | |
Non-Hispanic Asian | 74 (14.8) | Primary care specialties | 182 (34.5) |
Non-Hispanic other | 24 (4.5) | Surgica1 subspecialties | 71 (13.5) |
Hispanic/Latino | 30 (5.7) | Internal medicine subspecialties | 64 (12.1) |
Sex | Ob/gyn or ob/gyn subspecialties | 36 (6.8) | |
Male | 346 (71.3) | General surgery | 15 (2.8) |
Nativity | Pediatric subspecialties | 10 (1.9) | |
US born | 401 (76.4) | Other | 150 (28.4) |
Self-rated health | Years in practice | 18.9 ±13.5 | |
Excellent | 227 (43.4) | Setting | |
Very good | 216 (41.3) | Private group practice | 174 (33.5) |
Good | 62 (11.9) | Solo practice | 115 (22.2) |
Fair/poor | 18 (3.4) | Hospital-based practice | 78 (15.0) |
Age | Academic | 74 (14.3) | |
≤40 | 105 (20.0) | Group/staff model HMO | 21 (4.1) |
41–49 | 137 (26.1) | Community health center | 17 (3.3) |
50–59 | 169 (32.2) | Hospitalist | 14 (2.7) |
60–69 | 81 (15.4) | Other | 26 (4.9) |
≥70 | 33 (6.3) | Years at current setting | 12.5 ±10.7 |
Religious affiliation | Hours worked per week | 49.6 ±16.3 | |
Protestantism | 183 (35.1) | Board certification | |
Catholicism | 116 122.2) | Yes | 437 (80.3) |
No affiliation | 88 (16.9) | Income (< US $200000) | 199 (40.8) |
Judaism | 55 (10.5) | Total educational debt (< US $50000) | 373 (71.4) |
Hinduism | 22 (4.2) | Region of the United States | |
Islam | 16 (3.1) | Northeast | 128 (24.7) |
Other | 42 (8.1) | Midwest | 114 (22.0) |
Sexual orientation | South | 166 (32.1) | |
Heterosexual | 494 (95.0) | West | 110 (21.2) |
Relationship status | |||
Married/living as married | 427 (81.0) |
Abbreviation: HMO, health maintenance organization.
Numbers may not sum to total n due to missing data.
Racial/Ethnic Career Discrimination and High Job Turnover
The majority of black physicians (71%) and other race physicians (63%) experienced racial/ethnic discrimination sometimes, often, or very often over their professional careers. Forty-five percent of Asian physicians, 27% of Hispanic/Latino(a) physicians, and 7% of white physicians also reported racial/ethnic career discrimination.
In unadjusted analysis (Table 2), physicians who experienced racial/ethnic discrimination during their career were significantly more likely to demonstrate high job turnover (≥3 events) wan those who did not experience racial/ethnic discrimination during their careers (unadjusted OR, 2.0; 95% CI, 1.3–3.1). Additionally, women were more likely than men to report high job turnover, as were older physicians and divorced/separated (compared with married) physicians. Physician race/ethnicity, nativity, specialty, and medical school location were not significantly associated with high job turnover (p > .05).
Table 2.
Physician Characteristic | High Job Turnover n/Nb (%) |
Unadjusted OR (95% CI) |
Adjusted OR (95% CI) |
---|---|---|---|
Race/ethnicity | |||
Non-Hispanic white | 72/306 (23.5) | Reference | Reference |
Non-Hispanic black | 22/86 (25.6) | 1.12 (0.6–1.9] | 0.57 (0.3–1.2) |
Non-Hispanic Asian | 14/74 (18.9) | 0.76 (0.4–1.4) | 0.59 (0.3–1.3) |
Non-Hispanic other | 6/24 (25.0) | 1.08 (0.4–2.8) | 1.26 (0.4–3.9] |
Hispanic/Latino | 8/30 (26.7) | 1.18 (0.5–2.8) | 1.14 (0.4–3.0) |
Racial/ethnic discrimination over career course | |||
No | 72/371 (19.4) | Reference | Reference |
Yes | 47/143 (32.9) | 2.03 (1.3–3.1) | 2.45 (1.3–4.5) |
Sex | |||
Male | 69/340 (20.3) | Reference | Reference |
Female | 41/139 (29.5) | 1.60 (1.1–2.6) | 2.16 (1.3–3.7) |
Nativity | |||
US born | 90/396 (22.7) | Reference | - |
Non-US born | 32/124 (25.8) | 1.18 (0.7–1.9) | |
Relationship status | |||
Married/living as married | 93/424 (21.9) | Reference | Reference |
Single, never married | 6/42 (14.3) | 0.59 (0.2–1.5) | 0.74 (0.3–2.0) |
Divorced/separated | 20/46 (43.5] | 2.74 (1.5–5.1) | 1.90 (0.9–4.0) |
Widowed | 3/7 (42.9) | 2.67 (0.6–12.1) | 0.80 (0.1–5.0) |
Age | |||
≤40 | 11/105 (10.5) | Reference | Reference |
41–49 | 25/136 (18.4) | 1.93 (0.9–4.1) | 1.98 (0.9–4.5) |
50–59 | 49/167 (29.3) | 3.55 (1.7–7.2) | 4.42 (2.0–9.7) |
60–69 | 23/80 (28.8) | 3.45 (1.6–7.6) | 3.79 (1.5–9.4) |
≥70 | 14/32 (43.8) | 6.65 (2.6–17.0) | 10.77 (3.7–31.6) |
Specialty | |||
Primary care specialties | 47/178 (26.4) | Reference | - |
Surgical subspecialties | 12/71 (16.9) | 0.57 (0.3–1.1) | |
Internal medicine subspecialties | 11/61 (18.0) | 0.61 (0.3–1.3) | |
Ob/gyn or ob/gyn subspecialties | 6/36 (16.7) | 0.56 (0.2–1.4) | |
General surgery | 3/15 (20.0) | 0.69 (0.2–2.6) | |
Pediatric subspecialties | 2/10 (20.0) | 0.69 (0.1–3.4) | |
Other | 41/148 (27.7) | 1.07 (0.6–1.7) | |
Medical school location | |||
United States or Canada | 98/417 (23.5) | Reference | - |
Outside the United States or Canada | 24/101 (23.8) | 1.02 (0.6–1.7) |
Abbreviation: CI, confidence iterval.
High job turnover =≥3 job changes not due to promotion or advancement opportunity.
Numbers may not sum to total due to missing data.
In multivariate analysis, having experienced racial/ethnic discrimination at any career point remained significantly associated with high job turnover (adjusted OR, 2.7; 95% CI 1.4–4.9), adjusted for physician race/ethnicity, sex, relationship status, and age (Table 2). Sex and age were also significantly correlated with high job turnover in the adjusted analysis.
Physician Job Turnover Attributed to Any Type of Workplace Discrimination
More than one-quarter of physicians who self-identified as black (29%) and approximately one-fifth of physicians who identified as Asian (24%), other race (21%), or Hispanic/Latino(a) (20%) reported at least 1 job turn-over that they attributed to workplace discrimination of any type since completing medical training (Table 3). A total of 29 physicians who identified as white (9%) also reported discrimination-related job turnover.
Table 3.
Characteristic | n/Nb(%) | Unadjusted OR (95% CI) |
Adjusted OR (95% CI) |
---|---|---|---|
Race/ethnicity | |||
Non-Hispanic white | 29/309 (9.4) | Reference | Reference |
Non-Hispanic black | 25/85 (29.4) | 4.02 (2.2–7.4) | 3.94 (2.1–7.5) |
Non-Hispanic Asian | 17/72 (23.6) | 2.98 (1.5–5.8) | 2.90 (1.4–5.9) |
Non-Hispanic other | 5/24 (20.8) | 5.54 (0.9–7.3) | 2.21 (0.7–7.2) |
Hispanic/Latino | 6/30 (20.0) | 2.41 (0.9–6.4) | 2.57 (0.95–7.0) |
Sex | |||
Male | 44/344 (12.8) | Reference | Reference |
Female | 30/137 (21.9) | 1.91 (1.1–3.2) | 1.96 (1.1–3.4) |
Sexual orientation | |||
Heterosexual | 76/489 (15.5) | Reference | - |
Bisexual/homosexual | 4/26 (15.4) | 0.99 (0.3–2.9) | |
Nativity | |||
US born | 56/397 (14.1) | Reference | - |
Non-US born | 26/123 (21.1) | 1.63 (0.97–2.7) | |
Age | |||
≤40 | 16/102 (15.7) | Reference | Reference |
41–49 | 17/136 (12.5) | 0.77 (0.4–1.6) | 0.86 (0.39–1.90) |
50–59 | 31/168 (18.5) | 1.22 (0.6–2.4) | 1.40 (0.68–2.88) |
60–69 | 15/81 (18.5) | 1.22 (0.6–2.6) | 1.81 (0.78–4.17) |
≥70 | 3/33 (9.1) | 0.54 (0.1–2.0) | 0.97 (0.25–3.81) |
Religious affiliation | |||
Protestantism | 26/181 (14.4) | Reference | - |
Catholicism | 19/115 (16.51) | 1.18 (0.6–2.2) | |
No affiliation | 15/87 (17.2) | 1.24 (0.6–2.5) | |
Judaism | 5/55 (9.1) | 0.6 (0.2–1.6) | |
Hinduism | 5/22 (22.7) | 1.75 (0.6–5.2) | |
Islam | 4/16 (25.0) | 1.9 (0.6–6.6) | |
Other | 8/41 (19.5) | 1.44 (0.6–3.5) | |
Specialty | |||
Primary care specialties | 32/179 (17.9) | Reference | - |
Surgical subspecialties | 11/69 (15.9) | 0.87 (0.4–1.8) | |
Internal medicine subspecialties | 7/64 (10.9) | 0.56 (0.2–1.4) | |
Ob/gyn or ob/gyn subspecialties | 3/35 (8.6) | 0.43 (0.1–1.5) | |
General surgery | 3/15 (20.0) | 1.2 (0.3–4.3) | |
Pediatric subspecialties | 1/10 (10.0) | 0.51 (0.1–4.2) | |
Other | 25/148 (16.9) | 0.93 (0.5–1.7) | |
Medical school location | |||
United States or Canada | 61/415 (14.7) | Reference | - |
Outside the United States or Canada | 20/5 04 (19.2) | 1.38 (0.8–2.4) | |
Board certification | |||
Yes | 66/431 (15.1) | Reference | - |
No | 16/88 (18.2) | 1.23 (0.7–2.2) |
Abbreviation: CI, confidence interval.
At least 1 voluntary or involuntary separation from a job since completion of medical training because of discrimination.
Numbers may not sum to total due to missing data.
In unadjusted analysis, only physician race/ethnicity and sex were significantly associated with discrimination-related job turnover (p < .05). Physician age, sexual orientation, nativity, religious affiliation, specialty, medical school location, and board certification status were not significantly associated with job turnover because of any type of workplace discrimination. In multivariate analysis, the effects of race/ethnicity and sex remained statistically significant; physicians who self-identified as black (adjusted OR, 3.9; 95% CI, 2.1–7.5) and those who self-identified as Asian (adjusted OR, 2,9; 95% CI, 1.4-5.9) were significantly more likely than physicians who self-identified as white to report at least 1 job turnover because of discrimination. Female sex also remained significantly associated with discrimination-related job turnover (adjusted OR, 2.0; 95% CI, 1.1–3.4) (Table 3).
Physician Race/Ethnicity, Gender, and At Least 1 Job Turnover Because of Any Type of Workplace Discrimination
Among female physicians, almost 40% of physicians who identified as black reported at least 1 job turnover because of discrimination. When compared with the 16% of white female physicians who also reported job turnover because of discrimination, the odds were significantly higher for black female physicians (black female vs white female OR, 3.2; 95% CI, 1.2–8.3). Although the proportions of Asian, other race, and Hispanic/Latina female physicians reporting job turnover because of discrimination were higher than among white females, these differences were not statistically significant (Table 4).
Table 4.
Women | Men | ||
---|---|---|---|
n/N (%) | n/N (%) | P Value | |
Non-Hispanic white (N = 310) | 12/74 (16.2) | 14/211 (6.6) | .014 |
Non-Hispanic black (N = 87) | 11/29 (37.9)b | 12/43 (25.0)c | .235 |
Non-Hispanic Asian (N = 74) | 3/18 (16.7) | 12/48 (25.0)c | .480 |
Non-Hispanic other (N = 24) | 2/7 (28.6) | 2/15 (13.3)b | .412 |
Hispanic/Latino (N = 30) | 2/9 (22.2) | 4/21 (19.1) | .849 |
Overall p | .163 | <.001 |
The fourth column represent the male-female comparison within each racial/ethnic category. The seventh row represents the racial comparison by gender; non-Hispanic while women and non-Hispanic white men as referent groups.
p < .05
p < .001 for pairwise comparisons with Non-Hispanic whites.
Among male physicians, one-quarter of physicians who identified as black or Asian reported at least 1 job turnover because of discrimination. A total of 7% of white male physicians also reported job turnover because of discrimination. When compared with white male physicians, the odds were significantly higher for black and Asian male physicians (black or Asian male vs white male OR, 4.7; 95% CI, 2.0–11.0). Similar to the pattern among female physicians, more “other” race and Hispanic/Latino male physicians reported job turnover because of discrimination compared with white male physicians, but this was not statistically significant (Table 4).
Examining gender differences within racial/ethnic groups, only the difference in the proportion of reported job turnover because of discrimination between white female physicians and white male physicians was significant (p > .05). Across other racial/ethnic groups, more women than men reported job turnover because of discrimination except among Asian physicians. Although this finding was not significant, 17% of Asian women reported job turnover because of discrimination, compared with 25% of Asian men.
Contemplating Career Change and Career Satisfaction
Having left a job at some point in one’s career due to discrimination of any type was significantly associated with lower career satisfaction currently and increased contemplation of leaving medicine altogether. Only 45% of physicians experiencing discrimination-related job turnover were satisfied with their career, compared with 88% of physicians who did not experience discrimination-related job turnover (p < .01). Furthermore, 40% of physicians who experienced discrimination-related job turnover were contemplating changing careers and leaving medicine altogether, compared with 10% of physicians who did not experience discrimination-related job turnover (p < .001).
DISCUSSION
Experiences of workplace discrimination are significantly associated with physician job turnover career dissatisfaction, and contemplation of career change. The strong association between racial/ethnic career discrimination and high physician job turnover was evident for both male and female physicians and across multiple work settings regardless of physician age or specialty. Importantly, racial/ethnic career discrimination, but not physician race/ethnicity, was significantly associated with high job turnover. Perhaps most striking, however, is that almost 25% of nonmajority physicians reported having left at least 1 job because of personally experienced workplace discrimination, and this experience was strongly correlated with career dissatisfaction and contemplating leaving medicine altogether. These findings suggest that the experience of workplace discrimination can have a substantial influence on career trajectories, potentially threatening retention of a diverse physician workforce in addition to compromising patient care.
These survey results have several important implications for sustaining physician workforce diversity and ultimately for supporting high-quality patient care. First, because physicians who leave their job because of discrimination are more likely to consider changing careers, their turnover poses a threat to the individual organization and potentially to the profession. While recruiting a diverse physician workforce is fundamental, retention is also critical. Our work suggests that ensuring a work-place climate free of discrimination Is important for sustaining a diverse workforce. Second, because discrimination appears to play a key role in job turnover and career satisfaction, it likely plays a role in other differential career trajectories experienced by nonmajority physicians. Future research should do more than stratify career trajectories and satisfaction by race/ethnicity given this understanding of how workplace discrimination influences these outcomes. Finally, because physicians who experience discrimination may be at high risk for job turnover, we need to develop methods of monitoring and addressing physician experiences of work-place discrimination as early as possible when opportunities for intervention and retention still exist.
Some academic medical centers have recently begun to assess their institutional climate to identify factors that may be associated with faculty retention,28–30 and several strategies might be employed more broadly by health care organizations to support physician work-force diversity.31 Organizations can consider including regular monitoring and benchmarking of the institutional climate, physician experiences regarding discrimination, and job turnover as part of institutional development and strategic plans. Additional research can focus on the development of comprehensive institutional climate measures that include measures of workplace discrimination as well as tool kits, guidelines, and other interventions to assist health care organizations with their retention efforts.
Although our study provides new evidence regarding workplace discrimination and physician job turnover and career satisfaction, there are some limitations to consider when interpreting these findings. The cross-sectional survey methodology yielded statistically significant associations, but it cannot demonstrate causality or directionality. In addition, we had insufficient numbers of all potential subgroup members to make definitive statements regarding observed differences, and future work can better explore other types of discrimination. Specifically, our findings suggest that female physicians of color may face a “double discrimination” within the workplace, and this hypothesis requires additional testing. We are also aware of the potential for response bias in this study, as physician respondents may answer questions in what they deem a socially acceptable way. We pilot tested the questionnaire to eliminate leading language or double-barreled questions. We also employed several techniques to minimize nonresponse bias, as physicians who chose to respond to the questionnaire may be more likely to have experienced discrimination; we included multiple mailing waves and participation incentives. Further, our response rates were consistent with recent national surveys of physicians on potentially emotionally charged topics,32–35 and respondents did not differ significantly from nonrespondents on observable characteristics, including geographic region, specialty, or age. We were also aware that identifying physicians via the NMA membership roster could potentially introduce sampling bias, but it was essential that we actively recruit a racially diverse sample to achieve our research aims. However, we did not find any differences in the reports of discrimination by physicians of African descent identified via the NMA and those identified via the AMA Masterfile, suggesting any sampling bias was minimal.
The recent statement of the AMA acknowledging a long history of discrimination and exclusion experienced by nonmajority physicians in the United States provides an important historical context for supporting diversity within health care organizations moving forward.36 The results of this survey suggest that discrimination remains a problem for the medical profession, threatening our efforts at creating a physician workforce that reflects the diversity of the American people. Developing and retaining a diverse physician workforce will require active engagement of all physicians and health care organizations at every level of the health care system. The argument for action is strong at the organizational level, where every employee hired is an investment, and any unexpected job change is a missed opportunity to realize the return. This is especially true in the case of high-cost/high-value employees and contractors, such as physicians. At the macro level, recognizing the contribution of workplace discrimination to physician turnover is an important step toward creating health care environments that retain diverse health care providers and provide high-quality patient care.
ACKNOWLEDGMENTS
Thank you to Emily Bucholz for her assistance in the data collection phase of this project for which she was reimbursed as a research assistant.
Funding/Support: Dr Bradley was supported by the Patrick and Catherine Weldon Donaghue Medical Research Foundation Investigator Award (grant 02-102). Dr Nunez-Smith was supported in part by a grant through the Yale Center for Clinical Investigation. The funders did not contribute to the design and conduct of the study; collection, management, analysis, and interpretation of the data; or preparation, review, or approval of the manuscript.
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