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Original Investigation | Health Policy Burnout, Depression, Career Satisfaction, and Work-Life Integration by Physician Race/Ethnicity Luis C. Garcia, MS; Tait D. Shanafelt, MD; Colin P. West, MD, PhD; Christine A. Sinsky, MD; Mickey T. Trockel, MD, PhD; Laurence Nedelec, PhD; Yvonne A. Maldonado, MD; Michael Tutty, PhD; Liselotte N. Dyrbye, MD, MHPE; Magali Fassiotto, PhD Abstract IMPORTANCE Previous research suggests that the prevalence of occupational burnout varies by demographic characteristics, such as sex and age, but the association between physician race/ ethnicity and occupational burnout is less well understood. OBJECTIVE To investigate possible differences in occupational burnout, depressive symptoms, career satisfaction, and work-life integration by race/ethnicity in a sample of US physicians. DESIGN, SETTING, AND PARTICIPANTS In this cross-sectional study, data for this secondary analysis of 4424 physicians were originally collected from a cross-sectional survey of US physicians between October 12, 2017, and March 15, 2018. The dates of analysis were March 8, 2019, to May 21, 2020. Multivariable logistic regression, including statistical adjustment for physician demographic and clinical practice characteristics, was performed to examine the association between physician race/ethnicity and occupational burnout, depressive symptoms, career satisfaction, and work-life integration. EXPOSURES Physician demographic and clinical practice characteristics included race/ethnicity, sex, age, clinical specialty, hours worked per week, primary practice setting, and relationship status. MAIN OUTCOMES AND MEASURES Physicians with a high score on the emotional exhaustion or depersonalization subscale of the Maslach Burnout Inventory were classified as having burnout. Depressive symptoms were measured using the Primary Care Evaluation of Mental Disorders instrument. Physicians who marked “strongly agree” or “agree” in response to the survey items “I would choose to become a physician again” and “My work schedule leaves me enough time for my personal/family life” were considered to be satisfied with their career and work-life integration, respectively. RESULTS Data were available for 4424 physicians (mean [SD] age, 52.46 [12.03] years; 61.5% [2722 of 4424] male). Most physicians (78.7% [3480 of 4424]) were non-Hispanic White. Non-Hispanic Asian, Hispanic/Latinx, and non-Hispanic Black physicians comprised 12.3% (542 of 4424), 6.3% (278 of 4424), and 2.8% (124 of 4424) of the sample, respectively. Burnout was observed in 44.7% (1540 of 3447) of non-Hispanic White physicians, 41.7% (225 of 540) of non-Hispanic Asian physicians, 38.5% (47 of 122) of non-Hispanic Black physicians, and 37.4% (104 of 278) of Hispanic/ Latinx physicians. The adjusted odds of burnout were lower in non-Hispanic Asian physicians (odds ratio [OR], 0.77; 95% CI, 0.61-0.96), Hispanic/Latinx physicians (OR, 0.63; 95% CI, 0.47-0.86), and non-Hispanic Black physicians (OR, 0.49; 95% CI, 0.30-0.79) compared with non-Hispanic White physicians. Non-Hispanic Black physicians were more likely to report satisfaction with work-life integration compared with non-Hispanic White physicians (OR, 1.69; 95% CI, 1.05-2.73). No differences in depressive symptoms or career satisfaction were observed by race/ethnicity. (continued) Key Points Question Do occupational burnout, depressive symptoms, career satisfaction, and work-life integration differ by physician race/ethnicity? Findings In this cross-sectional national study of 4424 physicians, Hispanic/ Latinx, non-Hispanic Black, and non-Hispanic Asian physicians reported lower rates of occupational burnout compared with non-Hispanic White physicians. Non-Hispanic Black physicians were more likely to be satisfied with work-life integration compared with non-Hispanic White physicians; no differences by race/ ethnicity were observed for depressive symptoms or career satisfaction. Meaning These findings suggest the need for more research investigating factors underlying the observed patterns in measures of physician wellness by race/ethnicity. + Invited Commentary + Supplemental content Author affiliations and article information are listed at the end of this article. Open Access. This is an open access article distributed under the terms of the CC-BY License. JAMA Network Open. 2020;3(8):e2012762. doi:10.1001/jamanetworkopen.2020.12762 (Reprinted) August 7, 2020 1/13 Downloaded From: https://jamanetwork.com/ by a Non-Human Traffic (NHT) User on 06/03/2021

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  • Original Investigation | Health Policy

    Burnout, Depression, Career Satisfaction, and Work-Life Integrationby Physician Race/EthnicityLuis C. Garcia, MS; Tait D. Shanafelt, MD; Colin P. West, MD, PhD; Christine A. Sinsky, MD; Mickey T. Trockel, MD, PhD; Laurence Nedelec, PhD; Yvonne A. Maldonado, MD;Michael Tutty, PhD; Liselotte N. Dyrbye, MD, MHPE; Magali Fassiotto, PhD

    Abstract

    IMPORTANCE Previous research suggests that the prevalence of occupational burnout varies bydemographic characteristics, such as sex and age, but the association between physician race/ethnicity and occupational burnout is less well understood.

    OBJECTIVE To investigate possible differences in occupational burnout, depressive symptoms,career satisfaction, and work-life integration by race/ethnicity in a sample of US physicians.

    DESIGN, SETTING, AND PARTICIPANTS In this cross-sectional study, data for this secondaryanalysis of 4424 physicians were originally collected from a cross-sectional survey of US physiciansbetween October 12, 2017, and March 15, 2018. The dates of analysis were March 8, 2019, to May 21,2020. Multivariable logistic regression, including statistical adjustment for physician demographicand clinical practice characteristics, was performed to examine the association between physicianrace/ethnicity and occupational burnout, depressive symptoms, career satisfaction, and work-lifeintegration.

    EXPOSURES Physician demographic and clinical practice characteristics included race/ethnicity,sex, age, clinical specialty, hours worked per week, primary practice setting, and relationship status.

    MAIN OUTCOMES AND MEASURES Physicians with a high score on the emotional exhaustion ordepersonalization subscale of the Maslach Burnout Inventory were classified as having burnout.Depressive symptoms were measured using the Primary Care Evaluation of Mental Disordersinstrument. Physicians who marked “strongly agree” or “agree” in response to the survey items “Iwould choose to become a physician again” and “My work schedule leaves me enough time for mypersonal/family life” were considered to be satisfied with their career and work-life integration,respectively.

    RESULTS Data were available for 4424 physicians (mean [SD] age, 52.46 [12.03] years; 61.5% [2722of 4424] male). Most physicians (78.7% [3480 of 4424]) were non-Hispanic White. Non-HispanicAsian, Hispanic/Latinx, and non-Hispanic Black physicians comprised 12.3% (542 of 4424), 6.3%(278 of 4424), and 2.8% (124 of 4424) of the sample, respectively. Burnout was observed in 44.7%(1540 of 3447) of non-Hispanic White physicians, 41.7% (225 of 540) of non-Hispanic Asianphysicians, 38.5% (47 of 122) of non-Hispanic Black physicians, and 37.4% (104 of 278) of Hispanic/Latinx physicians. The adjusted odds of burnout were lower in non-Hispanic Asian physicians (oddsratio [OR], 0.77; 95% CI, 0.61-0.96), Hispanic/Latinx physicians (OR, 0.63; 95% CI, 0.47-0.86), andnon-Hispanic Black physicians (OR, 0.49; 95% CI, 0.30-0.79) compared with non-Hispanic Whitephysicians. Non-Hispanic Black physicians were more likely to report satisfaction with work-lifeintegration compared with non-Hispanic White physicians (OR, 1.69; 95% CI, 1.05-2.73). Nodifferences in depressive symptoms or career satisfaction were observed by race/ethnicity.

    (continued)

    Key PointsQuestion Do occupational burnout,depressive symptoms, career

    satisfaction, and work-life integration

    differ by physician race/ethnicity?

    Findings In this cross-sectional nationalstudy of 4424 physicians, Hispanic/

    Latinx, non-Hispanic Black, and

    non-Hispanic Asian physicians reported

    lower rates of occupational burnout

    compared with non-Hispanic White

    physicians. Non-Hispanic Black

    physicians were more likely to be

    satisfied with work-life integration

    compared with non-Hispanic White

    physicians; no differences by race/

    ethnicity were observed for depressive

    symptoms or career satisfaction.

    Meaning These findings suggest theneed for more research investigating

    factors underlying the observed

    patterns in measures of physician

    wellness by race/ethnicity.

    + Invited Commentary+ Supplemental contentAuthor affiliations and article information arelisted at the end of this article.

    Open Access. This is an open access article distributed under the terms of the CC-BY License.

    JAMA Network Open. 2020;3(8):e2012762. doi:10.1001/jamanetworkopen.2020.12762 (Reprinted) August 7, 2020 1/13

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  • Abstract (continued)

    CONCLUSIONS AND RELEVANCE Physicians in minority racial/ethnic groups were less likely toreport burnout compared with non-Hispanic White physicians. Future research is necessary toconfirm these results, investigate factors contributing to increased rates of burnout amongnon-Hispanic White physicians, and assess factors underlying the observed patterns in measures ofphysician wellness by race/ethnicity.

    JAMA Network Open. 2020;3(8):e2012762. doi:10.1001/jamanetworkopen.2020.12762

    Introduction

    A growing body of literature has demonstrated a greater prevalence of occupational burnout amongphysicians compared with the general workforce1 and associations between symptoms of burnoutand negative physician perceptions of care quality,2 longer patient wait times in the emergencydepartment,3 and increased physician intent to reduce clinical hours or leave clinical practicealtogether.4 In addition, previous studies have shown differences in self-reported burnout bydemographic characteristics, such as sex and age,1 but the association between physician race/ethnicity and occupational burnout is less well understood.

    The possible role of physician burnout in compromising patient care and the retention of adiverse physician workforce has generated national calls for intervention. For instance, the AmericanMedical Association’s STEPS Forward5 initiative was developed as a national tool kit for disseminatingstrategies to ameliorate physician burnout while simultaneously improving patient care and costcontainment. In addition, the National Academy of Medicine6 released a consensus report in 2019highlighting the need for efforts to both prevent and address burnout among clinicians and engagehealth care organizations, electronic health record providers, private payers, and other criticalstakeholders in physician wellness promotion. Indeed, research has demonstrated thatorganizational interventions for physician burnout prevention and reduction are possible andeffective.7,8

    Despite growing concern and national attention, there remains limited understanding ofpossible variation in experiences of burnout by physician race/ethnicity, and the available research isinconclusive. For instance, previous research has demonstrated both positive (increased rates ofburnout)9 and negative (decreased rates of burnout)10,11 associations between Hispanic/Latinxethnicity and burnout. However, available studies10-14 examining physician burnout by race/ethnicityhave been conducted at single institutions, are limited by small samples, or aggregate data acrossundergraduate and graduate trainees, clinical staff, and physicians.

    In a consensus report, the National Academy of Medicine6 developed a systems-basedframework that conceptualizes clinician burnout as a consequence of frontline care delivery, thehealth care organization, and external environmental factors. These systems aspects are furthermediated by individual physician characteristics (eg, resilience).6 Previous research demonstratingassociations between demographic characteristics, such as sex and age, and physician burnoutprovides evidence to support the possible role of individual characteristics in mediating burnout.1

    Moreover, compared with non-Hispanic White physicians, physicians in minority racial/ethnic groupsare known to experience exclusion and social isolation,15,16 discrimination by both colleagues17 andpatients,18 and more frequent delegation of nonclinical tasks associated with the promotion ofworkplace diversity and inclusion.18

    The challenges faced by physicians in minority racial/ethnic groups underlie our hypothesis thatthey may be at risk of burnout compared with non-Hispanic White physicians. Prior studies haveestablished not only that physicians in minority racial/ethnic groups are underrepresented inmedicine in general and senior leadership positions in particular19 but also that a diverse physicianworkforce is essential to addressing the nation’s health disparities.20,21 Because burnout is associatedwith physician attrition4 and retaining a diverse physician workforce is critical for both patient care

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  • and promoting equity in the profession, there is an urgent need to investigate possible differences inphysician burnout between physicians in minority racial/ethnic groups and their non-Hispanic Whitecounterparts.

    In the present study, the term minority is used to describe Hispanic/Latinx, non-Hispanic Black,and non-Hispanic Asian physicians constituting less than half of the workforce. Therefore, theobjective of this secondary analysis of previously collected national data was to investigate possibledifferences in occupational burnout, depressive symptoms, career satisfaction, and work-lifeintegration (WLI) by race/ethnicity in a sample of US physicians. We chose to investigate thesepossible differences in burnout given previous work suggesting that these measures characterizedistinct but complementary dimensions of physician wellness. For instance, despite high degrees ofburnout, practicing physicians tend to experience high career satisfaction,22,23 therebydemonstrating that these measures can operate in different directions.

    Methods

    The survey and sampling techniques used to collect the data analyzed in this cross-sectional nationalstudy of 4424 physicians are described in detail by Shanafelt et al.1 In summary, survey data for thissecondary analysis were originally collected from a national survey of US physicians betweenOctober 12, 2017, and March 15, 2018. The dates of analysis were March 8, 2019, to May 21, 2020. Tobe eligible for participation, physicians had to be listed in the American Medical Association’sPhysician Masterfile, which is an almost complete record of all physicians in the United States. Thesurvey link was sent via email, and a random sample of physicians who did not respond were maileda paper version. Participation was voluntary, and all responses were anonymous. A total of 30 456physicians who opened at least 1 email or received a mailed survey were considered to have beeninvited to participate in the present study, and 5197 responses were collected, yielding a participationrate of 17.1%, consistent with other national surveys of physicians.22,24 Intensive follow-up for 500random physician nonresponders was performed to assess the possibility of response bias. Thisintensive follow-up yielded an additional 248 responses that were pooled given no statisticaldifferences in age, years in practice, burnout, or satisfaction with WLI. This study was approved bythe institutional review boards at Stanford University School of Medicine and Mayo Clinic andfollowed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) andAmerican Association for Public Opinion Research reporting guidelines. Because participation wasvoluntary, the institutional review boards determined that informed consent was implied (waived) byfilling out the anonymous survey.

    Study MeasuresThe primary independent variable in our analyses was physician race/ethnicity, which was assessedusing the US Census Bureau 2-question method, adhering to the 1997 standards for the classificationof federal data on race and ethnicity.25 This method includes an item about Hispanic origin (ethnicity)followed by race with the following categories: White, Black or African American, American Indianor Alaskan Native, Asian, and Native Hawaiian or other Pacific Islander. For this analysis, we used acombined race/ethnicity classification in which those indicating Hispanic origin were coded asHispanic/Latinx (eg, an individual who marked Hispanic and Black or Hispanic and White would becoded as Hispanic/Latinx).26 If an individual was not Hispanic/Latinx, their race (or races) was coded.Because of limited data across American Indian or Alaskan Native, Native Hawaiian or other PacificIslander, other, and multiple race categories (marking 2 or more of the aforementioned groups),bivariate and multivariable analyses included the following 4 categories: non-Hispanic White,Hispanic/Latinx, non-Hispanic Black, and non-Hispanic Asian. Hereafter, references to White, Black,and Asian physicians include only non-Hispanic/Latinx study participants. Data from groups withlimited sample sizes were not aggregated because such a category would not allow for meaningfulanalysis or interpretation of results.

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    https://www.equator-network.org/reporting-guidelines/strobe/

  • Physician well-being assessments included survey items for burnout, depressive symptoms,career satisfaction, and WLI. The Maslach Burnout Inventory (MBI)27 is a proprietary survey validatedas a measure of occupational burnout. Burnout among physicians was assessed as both a continuousvariable (ie, mean scores) and a dichotomous variable using the emotional exhaustion anddepersonalization subscales of the MBI based on published guidelines that have been used fordecades.27 Consistent with previous studies,28-30 physicians were considered to manifestoccupational burnout when they reported a high score on either the emotional exhaustion (score�27) or depersonalization (score �10) subscale of the MBI.

    Depressive symptoms were assessed using the 2-item validated Primary Care Evaluation ofMental Disorders instrument,31,32 a well-established screening tool. Satisfaction with WLI wasassessed by the 5-point Likert-type scale survey item “My work schedule leaves me enough time formy personal/family life.” Physicians marking “strongly agree” or “agree” were considered to besatisfied with WLI.22,23 Career satisfaction was assessed by the 5-point Likert-type scale survey item“I would choose to become a physician again.” Physicians who marked “strongly agree” or “agree”were coded as having career satisfaction.23

    Other physician characteristics for which we controlled were demographic and clinical practicecharacteristics, including sex, age, clinical specialty, hours worked per week, primary practice setting,and relationship status. These variables were identified given findings of their importance inprior work.1,23

    Statistical AnalysisBivariate associations between race/ethnicity and all other variables used in the analysis wereexamined with a χ2 test. Multivariable logistic regression, including statistical adjustment forphysician demographic and clinical practice characteristics, was performed to examine theassociation between physician race/ethnicity and occupational burnout, depressive symptoms,career satisfaction, and WLI, controlling for sex, age, clinical specialty, hours worked per week,primary practice setting, and relationship status. Analyses were performed in R, version 1.1.383 (RCore Team), using 2-sided tests, and the threshold for statistical significance was P < .05. Missingdata for outcome variables were imputed if only one item on a subscale was missing. If 2 or moreitems on a subscale were missing, the outcome variable was classified as missing.

    Results

    Sample CharacteristicsData were available for 4424 physicians (mean [SD] age, 52.46 [12.03] years; 61.5% [2722 of 4424]male) (Table 1). Most physicians in our sample (78.7% [3480 of 4424]) were White individuals. Asian,Hispanic/Latinx, and Black physicians comprised 12.3% (542 of 4424), 6.3% (278 of 4424), and 2.8%(124 of 4424) of the sample, respectively. Demographic data available through the US Bureau ofLabor Statistics33 suggests that 70.8% of physicians are White individuals, 19.8% are Asianindividuals, 7.4% are Hispanic/Latinx individuals, and 7.6% are Black individuals, although theHispanic/Latinx category is counted separately.

    Bivariate AnalysesStatistically significant differences were observed in physician sex, age, and clinical specialty by race/ethnicity. Physicians in minority racial/ethnic groups tended to be younger compared with Whitephysicians. Whereas 48.2% (1678 of 3480) of White physicians were 54 years or younger, 65.5%(182 of 278) of Hispanic/Latinx physicians, 67.7% (84 of 124) of Black physicians, and 74.7% (405 of542) of Asian physicians were 54 years or younger (P < .001) (Table 1). In addition, Black physicianswere more likely to practice in primary care (40.3% [50 of 124]; P < .001) and less likely to be male(32.3% [40 of 124]; P < .001) compared with other racial/ethnic groups.

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  • Table 1. Physician Demographic and Clinical Practice Characteristics Overall and by Race/Ethnicitya

    Variable

    No. (%)

    Overall(N = 4424)

    Non-Hispanic White(n = 3480)

    Hispanic/Latinx(n = 278)

    Non-Hispanic Black(n = 124)

    Non-Hispanic Asian(n = 542) P value

    Sex

    Female 1688 (38.2) 1240 (35.6) 103 (37.1) 83 (66.9) 262 (48.3)

  • Burnout was observed in 44.7% (1540 of 3447) (95% CI, 43.3%-46.7%) of White physicians,41.7% (225 of 540) (95% CI, 37.9%-46.6%) of Asian physicians, 38.5% (47 of 122) (95% CI,30.5%-48.5%) of Black physicians, and 37.4% (104 of 278) (95% CI, 31.6%-43.4%) of Hispanic/Latinxphysicians (Table 2). The mean (SD) emotional exhaustion subscale scores of the MBI were 24.5(13.5) among Black physicians, 23.4 (13.1) among White physicians, 22.7 (13.5) among Asianphysicians, and 21.3 (13.0) among Hispanic/Latinx physicians (P = .03). The mean (SD)depersonalization subscale score of the MBI among Asian physicians was 7.3 (7.0) compared with 6.8(6.4) among White physicians, 6.2 (6.0) among Hispanic/Latinx physicians, and 6.1 (6.1) among Blackphysicians (P = .10). In bivariate analyses, no statistically significant differences by race/ethnicitywere observed for physician burnout, depressive symptoms, career satisfaction, or WLI.

    Multivariable ModelsIn a multivariable model adjusted for sex, age, clinical specialty, hours worked per week, primarypractice setting, and relationship status, all minority racial/ethnic groups were statisticallysignificantly less likely to experience burnout compared with White physicians (Table 3). Theadjusted odds of burnout were 23% lower in Asian physicians compared with White physicians (oddsratio [OR], 0.77; 95% CI, 0.61-0.96; P = .02). The adjusted odds of burnout were 37% lower inHispanic/Latinx physicians compared with White physicians (OR, 0.63; 95% CI, 0.47-0.86;P = .004). The adjusted odds of burnout were 51% lower in Black physicians compared with Whitephysicians (OR, 0.49; 95% CI, 0.30-0.79; P = .004). In supplemental analyses of the emotionalexhaustion and depersonalization subscales of the MBI (eTable in the Supplement), the observedpatterns in overall burnout seemed to be associated with emotional exhaustion: Asian, Hispanic/

    Table 1. Physician Demographic and Clinical Practice Characteristics Overall and by Race/Ethnicitya (continued)

    Variable

    No. (%)

    Overall(N = 4424)

    Non-Hispanic White(n = 3480)

    Hispanic/Latinx(n = 278)

    Non-Hispanic Black(n = 124)

    Non-Hispanic Asian(n = 542) P value

    Hours worked per week, h

    Mean (SD) 51.2 (17.0) 51.1 (16.4) 53.1 (18.3) 52.5 (18.2) 52.1 (17.9) .06

  • Latinx, and Black physicians were statistically significantly less likely to experience symptoms ofemotional exhaustion compared with White physicians, but statistically significant differences werenot observed for depersonalization by race/ethnicity. In addition to lower odds of burnout, Blackphysicians had 69% greater odds of reporting satisfaction with WLI compared with White physicians(OR, 1.69; 95% CI, 1.05-2.73; P = .03) (Table 3). No statistically significant associations were observedbetween race/ethnicity and career satisfaction or symptoms of depression in multivariable models.

    Discussion

    In this national sample of physicians, Hispanic/Latinx, Black, and Asian physicians were less likely toreport burnout compared with White physicians. In multivariable analysis, the odds of burnout asassessed by the MBI were lowest among Black physicians and highest among White physicians. Insupplemental analyses, this difference appeared to be associated with lower odds of experiencingemotional exhaustion among physicians in minority racial/ethnic groups. Black physicians were morelikely to report satisfaction with WLI compared with White physicians. In addition, no statistically

    Table 2. Physician Occupational Burnout, Depressive Symptoms, Career Satisfaction, and Work-Life Integration by Race/Ethnicitya

    Variable

    Non-Hispanic White Hispanic/Latinx Non-Hispanic Black Non-Hispanic Asian

    P valueNo./totalNo. (%) 95% CI

    No. /totalNo. (%) 95% CI

    No. /totalNo. (%) 95% CI

    No. /totalNo. (%) 95% CI

    Occupational burnoutb 1540/3447(44.7)

    43.3-46.7 104/278(37.4)

    31.6-43.4 47/122(38.5)

    30.5-48.5 225/540(41.7)

    37.9-46.6 .06

    Emotional exhaustion subscalescore

    Mean (SD) 23.4(13.1)

    23.1-23.9 21.3(13.0)

    19.8-22.9 24.5(13.5)

    22.1-26.9 22.7(13.5)

    21.6-23.9 .03

    High score, % 1346/3430(39.2)

    37.7-41.1 90/274(32.8)

    27.3-38.8 45/122(36.9)

    29.0-46.8 196/534(36.7)

    33.0-41.5 .10

    Depersonalization subscalescore

    Mean (SD) 6.8(6.4)

    6.7-7.1 6.2(6.0)

    5.6-7.0 6.1(6.1)

    5.0-7.2 7.3(7.0)

    6.7-7.9 .10

    High score, % 944/3442(27.4)

    26.1-29.1 71/278(25.5)

    20.5-31.2 28/122(23.0)

    16.3-32.1 152/538(28.3)

    24.7-32.6 .60

    Depressive symptoms

    Screen positive for depressivesymptoms

    1414/3435(41.2)

    39.5-42.8 123/275(44.7)

    38.3-50.4 52/123(42.3)

    33.6-51.9 232/537(43.2)

    39.2-47.9 .70

    Career satisfaction

    “I would choose to becomea physician again”

    2407/3467(69.4)

    67.7-70.9 185/275(67.3)

    62.3-73.7 77/124(62.1)

    54.0-71.8 361/541(66.7)

    62.6-70.9 .07

    Work-life integration

    “My work schedule leavesme enough time for mypersonal/family life”

    1498/3465(43.2)

    41.4-44.8 113/275(41.1)

    34.7-46.7 57/123(46.3)

    37.6-56.0 214/535(40.0)

    35.9-44.4 .50

    a The sample size varies because of missing responses.b Physicians were considered to manifest occupational burnout when they reported a high score on either the emotional exhaustion (score �27) or depersonalization (score �10)

    subscales of the Maslach Burnout Inventory.

    Table 3. Multivariable Analysis of Physician Occupational Burnout, Depressive Symptoms, Career Satisfaction, and Work-Life Integration by Race/Ethnicitya

    Variable

    Occupational burnout Depressive symptoms Career satisfaction Work-life integration

    OR (95% CI) P value OR (95% CI) P value OR (95% CI) P value OR (95% CI) P valueNon-Hispanic White 1 [Reference] NA 1 [Reference] NA 1 [Reference] NA 1 [Reference] NA

    Hispanic/Latinx 0.63 (0.47-0.86) .004 1.08 (0.80-1.46) .61 1.16 (0.84-1.61) .36 0.92 (0.66-1.27) .59

    Non-Hispanic Black 0.49 (0.30-0.79) .004 0.81 (0.51-1.29) .37 0.87 (0.54-1.39) .55 1.69 (1.05-2.73) .03

    Non-Hispanic Asian 0.77 (0.61-0.96) .02 1.09 (0.87-1.37) .44 1.12 (0.88-1.42) .35 0.97 (0.76-1.23) .79

    Abbreviations: NA, not applicable; OR, odds ratio.a Adjusted for sex, age, clinical specialty, hours worked per week, primary practice setting, and relationship status.

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  • significant associations between physician race/ethnicity and depressive symptoms or careersatisfaction were observed.

    In the last decade, national awareness of physician burnout and the challenges burnoutpresents to the health care workforce and patient experiences has increased substantially. Multiplestudies have demonstrated associations between physician burnout and diminished carequality,2,34,35 increased wait times,3 physician attrition,4,36,37 and implicit and explicit racial biases.38

    As a consequence, considerable efforts have been made to identify and implement individual-leveland organizational-level interventions to attenuate the prevalence of burnout amongphysicians.5-8,39,40

    In 2011 and 2017, occupational burnout was assessed using an abbreviated, 2-item version ofthe MBI in the US population1,23 and professionals with doctoral degrees.41 Occupational burnoutwas observed in approximately 28% of both the US working population1 and a subsample ofprofessionals with a doctoral degree in a field other than medicine.41 These proportions were lowerthan that reported by the overall physician population.1,41 In the present study, White physicians andphysicians in minority racial/ethnic groups alike reported rates of burnout that were greater than the28% observed in the overall US working population and professionals of similar educationalattainment. This finding underscores the salience of ongoing efforts to attenuate burnout amonghealth care professionals and also highlights the need for future research that directly comparesphysicians in minority racial/ethnic groups with minority racial/ethnic counterparts in the US workingpopulation.

    The lower rates of burnout among physicians in minority racial/ethnic groups compared withWhite physicians observed in this study add to a growing, although inconclusive, body of literatureexamining burnout in health care by race/ethnicity. For instance, lower rates of burnout wereobserved in an aggregate sample of Hispanic/Latinx physicians and clinical staff compared withWhite health care physicians and clinical staff practicing at a Veterans Affairs hospital.11 In contrast,racial/ethnic differences in emotional exhaustion or depersonalization were not observed amongresident physicians (n = 115) at an academic medical center after adjusting for demographiccharacteristics, relationship status, and clinical specialty.10 A study9 of 4732 second-year residentsfound that Hispanic residents were more likely to experience burnout (52.8%) compared withnon-Hispanic residents (44.5%), although this result was not statistically significant. In a multicenterstudy,42 medical students in minority racial/ethnic groups were less likely to report burnout than theirnon-Hispanic White peers. However, compared with non-Hispanic White medical students, moreprevalent burnout was observed among a subsample of students in minority racial/ethnic groupswho responded affirmatively to the question “Has your race adversely affected your medical schoolexperience?”42

    Given previous studies15-18 demonstrating that physicians in minority racial/ethnic groupsexperience social exclusion, bias, and increased professional burden serving as diversityambassadors, the results of this study may be considered counterintuitive. Possible explanations forthese results could include stigma associated with decreased disclosure of burnout symptoms, poorretention of medical students in minority racial/ethnic groups and residents who experience burnout(ie, survival bias), differences in personal resilience by race/ethnicity, or a selection process thatfavors resilience among minority racial/ethnic groups during medical training. Previous literaturesuggests that stigma may reduce disclosure and help-seeking in minority racial/ethnic groupsexperiencing psychological distress or mental health concerns.43-45 Therefore, it is possible thatphysicians in minority racial/ethnic groups may be less likely to disclose burnout symptomscompared with White counterparts. In addition, previous studies46-49 have demonstrated lowerretention of trainees and early-career faculty in minority racial/ethnic groups. Trainees in minorityracial/ethnic groups who experience burnout may be more likely to leave medicine earlier in theircareers, resulting in measurement bias (ie, sample selection bias). Furthermore, it has been reportedthat medical students in minority racial/ethnic groups were more likely than non-Hispanic Whitecounterparts to be resilient to and recover from burnout,50 leading researchers to posit that the life

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  • experiences of minority racial/ethnic group populations may promote resilience and, consequently,reduced vulnerability to burnout.42 The possibility of a selection association should also beconsidered. For instance, the challenges disproportionately experienced by minority racial/ethnicgroups during medical training could impose barriers that are surmountable only by the trainees whoare most resilient and, as a result, less vulnerable to burnout. For Black physicians in our study,greater satisfaction was also observed with WLI, which may help attenuate experiences of burnout.These hypotheses regarding disclosure and resilience may explain why we observed that physiciansin minority racial/ethnic groups were less likely to experience occupational burnout and emotionalexhaustion, but more research is needed to identify and validate underlying mechanisms.

    In addition, no differences in physicians’ depressive symptoms or career satisfaction by race/ethnicity were found in the present study. A study by Glymour et al51 found that Black physiciansreported career satisfaction similar to that of non-Hispanic White physicians, despite serving agreater proportion of medically complex patients. These findings may suggest that careersatisfaction—which has been largely attributed to physicians’ deep appreciation of their relationshipswith patients and their role as healers52—represents a dimension of physician wellness that existsindependent of burnout or racialized experiences in the workplace. The finding herein that similarrates of depressive symptoms were observed by race/ethnicity could again reflect stigmadiscouraging disclosure among minority racial/ethnic groups or cultural response biases that alter thelikelihood of endorsing symptoms of depression.53 Alternatively, institutional efforts to improvephysician wellness arising from growing national dialogue may not only be succeeding over time1 butalso attenuating previously existing differences across racial/ethnic groups. Although thesehypotheses provide possible explanations, their validity is uncertain, and the precise mechanismsunderlying the observed patterns require further research and longitudinal surveillance.

    LimitationsThe results of this study should be considered alongside several limitations. Given the limited samplesizes, we were unable to analyze differences in burnout for respondents who identified as AmericanIndian, Alaskan Native, Native Hawaiian, Pacific Islander, or who identified with multiple races.Despite a nationwide recruitment strategy, the proportions of Hispanic/Latinx, Black, and Asianphysician respondents in this study were lower than national proportions, thereby limiting thenational representativeness of our sample. The American Medical Association’s Physician Masterfiledata set used for this research did not have comprehensive racial/ethnic data; therefore, although weare able to assert that the overall participation rate is similar to that of previous national surveys ofphysicians,22,24 we were unable to calculate response or participation rates by racial/ethnic group.Nevertheless, to our knowledge, this study is the first to examine the association between physicianrace/ethnicity and occupational burnout in physicians using a large, national sample. Theselimitations both underscore the need for future investigation and serve as a call for data collectionefforts that generate robust national data sets, including race/ethnicity. The cross-sectional nature ofthis study limited our ability to evaluate the possible implications of the selection associations andattrition described herein and draw inference. We were also unable to adjust for characteristics thatmay alter the manner in which race is experienced for physicians, such as salience of racial/ethnicidentity,54 geographic region, or the demographic and clinical characteristics of the patientpopulations they serve. Finally, although the MBI has been validated for measuring burnout in healthcare professionals generally,55 a focused validation study of the MBI across racial/ethnic groups hasyet to be conducted. Given previous studies showing cultural differences in responses toattitudinal56 and health-related53 surveys, it is possible that the MBI could be less reliable amongphysicians in minority racial/ethnic groups.

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  • Conclusions

    This study found lower rates of occupational burnout among physicians in minority racial/ethnicgroups compared with White physicians. In addition, White, Hispanic/Latinx, Black, and Asianphysicians reported higher rates of burnout than were observed in an aggregate sample of thegeneral US population.1,41 Future research is needed to identify possible challenges in assessing ratesof occupational burnout among physicians in minority racial/ethnic groups, including instrumentvalidation, stigma, and cultural response bias. Furthermore, there remains a need for additionalresearch to not only confirm our results but also elucidate the factors or mechanisms that mightunderlie the patterns observed in the present study. Long-term studies assessing burnout andresilience at medical school matriculation and over the course of training and practice would also beenlightening. Future investigation is also necessary to characterize experiences of burnout amongphysicians who are American Indian, Alaskan Native, Native Hawaiian, Pacific Islander, or multiracial.In addition, future studies are needed to examine experiences of burnout by race/ethnicity and sex.Beyond research, continued efforts are necessary to diversify the health care workforce and developinclusive and supportive organizational cultures that improve the occupational environment forphysicians in minority racial/ethnic groups. To our knowledge, this article is the first to examineoccupational burnout in a large, national sample of physicians by race/ethnicity. These resultsreinforce a need for sustained efforts to combat burnout and promote wellness across the physicianworkforce.

    ARTICLE INFORMATIONAccepted for Publication: May 26, 2020.

    Published: August 7, 2020. doi:10.1001/jamanetworkopen.2020.12762

    Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2020 Garcia LC et al.JAMA Network Open.

    Corresponding Author: Magali Fassiotto, PhD, Office of Faculty Development and Diversity, Stanford UniversitySchool of Medicine, 300 Pasteur Dr, Stanford, CA 94305 ([email protected]).

    Author Affiliations: Office of Faculty Development and Diversity, Stanford University School of Medicine,Stanford, California (Garcia, Maldonado, Fassiotto); Department of Medicine, Stanford University School ofMedicine, Stanford, California (Shanafelt); WellMD Center, Stanford University School of Medicine, Stanford,California (Shanafelt, Nedelec); Department of Medicine, Mayo Clinic, Rochester, Minnesota (West, Dyrbye);Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota (West); American MedicalAssociation, Chicago, Illinois (Sinsky, Tutty); Department of Psychiatry, Stanford University School of Medicine,Stanford, California (Trockel); Department of Pediatrics, Stanford University School of Medicine, Stanford,California (Maldonado).

    Author Contributions: Drs Nedelec and Fassiotto had full access to all of the data in the study and takeresponsibility for the integrity of the data and the accuracy of the data analysis.

    Concept and design: Garcia, Shanafelt, West, Sinsky, Maldonado, Dyrbye, Fassiotto.

    Acquisition, analysis, or interpretation of data: Garcia, Shanafelt, West, Trockel, Nedelec, Tutty, Dyrbye, Fassiotto.

    Drafting of the manuscript: Garcia, Tutty, Fassiotto.

    Critical revision of the manuscript for important intellectual content: Garcia, Shanafelt, West, Sinsky, Trockel,Nedelec, Maldonado, Dyrbye, Fassiotto.

    Statistical analysis: Nedelec, Fassiotto.

    Obtained funding: Shanafelt.

    Administrative, technical, or material support: Garcia, Shanafelt, Tutty, Dyrbye.

    Supervision: Shanafelt, Maldonado, Fassiotto.

    Conflict of Interest Disclosures: Dr Shanafelt reported being coinventor of the Well-Being Index Instruments(Physician Well-being Index, Nurse Well-being Index, Medical Student Well-being Index, the Well-being Index) andthe Participatory Management Leadership Index; Mayo Clinic holds the copyright to these instruments and haslicensed them for use outside of Mayo Clinic, and Dr Shanafelt receives a portion of any royalties paid to Mayo

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  • Clinic. Dr Shanafelt reported receiving honoraria from grand rounds/keynote lecture presentations and advisingfor health care organizations outside the submitted work. Dr. Dyrbye reported receiving grants from ThePhysicians Foundation and receiving royalties for the Well-Being Index Instruments (Physician Well-being Index,Nurse Well-being Index, Medical Student Well-being Index, the Well-being Index). No other disclosures werereported.

    Funding/Support: This study was funded by the Stanford Medicine WellMD Center, the American MedicalAssociation, and the Mayo Clinic Department of Medicine Program on Physician Well-being.

    Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection,management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; anddecision to submit the manuscript for publication, although some of the investigators are employees of theseorganizations.

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    SUPPLEMENT.eTable. Multivariable Analysis of Physician Emotional Exhaustion and Depersonalization

    JAMA Network Open | Health Policy Burnout, Depression, Career Satisfaction, and Work-Life Integration

    JAMA Network Open. 2020;3(8):e2012762. doi:10.1001/jamanetworkopen.2020.12762 (Reprinted) August 7, 2020 13/13

    Downloaded From: https://jamanetwork.com/ by a Non-Human Traffic (NHT) User on 06/03/2021

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