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Background Awareness of the economic cost of physician attrition due to burnout in academic medical centers may help motivate organizational level efforts to improve physician wellbeing and reduce turnover. Our objectives are: 1) to use a recent longitudinal data as a case example to examine the associations between physician self-reported burnout, intent to leave (ITL) and actual turnover within two years, and 2) to estimate the cost of physician turnover attributable to burnout. Methods We used de-identified data from 472 physicians who completed a quality improvement survey conducted in 2013 at two Stanford University affiliated hospitals to assess physician wellness. To maintain the confidentially of survey responders, potentially identifiable demographic variables were not used in this analysis. A third party custodian of the data compiled turnover data in 2015 using medical staff roster. We used logistic regression to adjust for potentially confounding factors. Results At baseline, 26% of physicians reported experiencing burnout and 28% reported ITL within the next 2 years. Two years later, 13% of surveyed physicians had actually left. Those who reported ITL were more than three times as likely to have left. Physicians who reported experiencing burnout were more than twice as likely to have left the institution within the two-year period (Relative Risk (RR) = 2.1; 95% CI = 1.3–3.3). After adjusting for surgical specialty, work hour categories, sleep-related impairment, anxiety, and depression in a logistic regression model, physicians who experienced burnout in 2013 had 168% higher odds (Odds Ratio = 2.68, 95% CI: 1.34–5.38) of leaving Stanford by 2015 compared to those who did not experience burnout. The estimated two-year recruitment cost incurred due to departure attributable to burnout was between $15,544,000 and $55,506,000. Risk of ITL attributable to burnout was 3.7 times risk of actual turnover attributable to burnout. Conclusions Institutions interested in the economic cost of turnover attributable to burnout can readily calculate this parameter using survey data linked to a subsequent indicator of departure from the institution. ITL data in cross-sectional studies can also be used with an adjustment factor to correct for overestimation of risk of intent to leave attributable to burnout.

BackgroundPhysician burnout is often assessed by healthcare organizations. Yet, scores from different burnout measures cannot currently be directly compared, limiting the interpretation of results across organizations or studies.ObjectiveTo link common measures of burnout to a single metric in psychometric analyses such that group-level scores from different assessments can be compared.DesignCross-sectional survey.SettingUS practices.ParticipantsA total of 1355 physicians sampled from the American Medical Association Physician Masterfile.Main MeasuresWe linked the Stanford Professional Fulfillment Index (PFI) and Mini-Z Single-Item Burnout (MZSIB) scale to the Maslach Burnout Inventory (MBI) in item response theory (IRT) fixed-calibration and equipercentile analyses and created crosswalks mapping PFI and MZSIB scores to corresponding MBI scores. We evaluated the accuracy of the results by comparing physicians’ actual MBI scores to those predicted by linking and described the closest cut-point equivalencies across scales linked to the same MBI subscale using the resulting crosswalks.Key ResultsIRT linking produced the most accurate results and was used to create crosswalks mapping (1) PFI Work Exhaustion (PFI-WE) and MZSIB scores to MBI Emotional Exhaustion (MBI-EE) scores and (2) PFI Interpersonal Disengagement (PFI-ID) scores to MBI Depersonalization (MBI-DP) scores. The commonly used MBI-EE raw score cut-point of ≥27 corresponded most closely with respective PFI-WE and MZSIB raw score cut-points of ≥7 and ≥3. The commonly used MBI-DP raw score cut-point of ≥10 corresponded most closely with a PFI-ID raw score cut-point of ≥9.ConclusionsOur findings allow healthcare organizations using the PFI or MZSIB to compare group-level scores to historical, regional, or national MBI scores (and vice-versa).

BackgroundDespite the importance of professionalism, little is known about how burnout relates to professionalism among practicing physicians.ObjectiveTo evaluate the relationship between burnout and professional behaviors and cost-conscious attitudes.Design and ParticipantsCross-sectional study in a national sample of physicians of whom a fourth received a sub-survey with items exploring professional behaviors and cost-conscious attitudes. Responders who were not in practice or in select specialties were excluded.MeasuresMaslach Burnout Inventory and items on professional behaviors and cost-conscious attitudes.Key ResultsAmong those who received the sub-survey 1008/1224 (82.3%) responded, and 801 were eligible for inclusion. Up to one third of participants reported engaging in unprofessional behaviors related to administrative aspects of patient care in the last year, such as documenting something they did not do to close an encounter in the medical record (243/759, 32.0%). Fewer physicians reported other dishonest behavior (e.g., claiming unearned continuing medical education credit; 40/815, 4.9%). Most physicians endorsed cost-conscious attitudes with over 75% (618/821) agreeing physicians have a responsibility to try to control health-care costs and 62.9% (512/814) agreeing that cost to society is important in their care decisions regarding use of an intervention. On multivariable analysis adjusting for personal and professional characteristics, burnout was independently associated with reporting 1 or more unprofessional behaviors (OR 2.01, 95%CI 1.47–2.73, p < 0.0001) and having less favorable cost-conscious attitudes (difference on 6–24 scale − 0.90, 95%CI − 1.44 to − 0.35, p = 0.001).ConclusionsProfessional burnout is associated with self-reported unprofessional behaviors and less favorable cost-conscious attitudes among physicians.

The prevalence of physician burnout is well documented, and resilience training has been proposed as an option to support physician well-being. However, the resilience of physicians compared with that of the US working population is not established, and the association between resilience and physician burnout is not well understood. To evaluate resilience among physicians and US workers, and to determine the association between resilience and burnout among US physicians. A cross-sectional national survey study of 5445 US physicians and a probability-based sample of 5198 individuals in the US working population was conducted between October 12, 2017, and March 15, 2018. Resilience was measured using the 2-item Connor-Davidson Resilience Scale (total scores range from 0-8; higher scores indicate greater resilience); burnout was measured using the full Maslach Burnout Inventory with overall burnout indicated by a score of at least 27 on the 0 to 54 emotional exhaustion subscale and/or at least 10 on the depersonalization subscale (higher scores indicate greater burnout). Of 30 456 physicians who received an invitation to participate, 5445 (17.9%) completed surveys (2995 men [62.1%]; median [IQR] age of 53 [42-62] years). In multivariable analysis, mean (SD) resilience scores were higher among physicians than the general employed population (6.49 [1.30] vs 6.25 [1.37]; adjusted mean difference, 0.25 points; 95% CI, 0.19-0.32; P < .001). Among physicians, resilience was associated with burnout. Physicians without overall burnout had higher mean (SD) resilience scores than physicians with burnout (6.82 [1.15] vs 6.13 [1.36]; adjusted mean difference, 0.68 points, 95% CI, 0.61-0.76; P < .001). Each 1-point increase in resilience score was associated with 36% lower odds of overall burnout (odds ratio, 0.64; 95% CI, 0.60-0.67; P < .001). However, 392 of 1350 physicians (29%) with the highest possible resilience score had burnout. The findings of this national survey study suggest that physicians exhibited higher levels of resilience than the general working population in the US. Resilience was inversely associated with burnout symptoms, but burnout rates were substantial even among the most resilient physicians. Additional solutions, including efforts to address system issues in the clinical care environment, are needed to reduce burnout and promote physician well-being.

Addressing physician suicide requires understanding its association with possible risk factors such as burnout and depression. To assess the association between burnout and suicidal ideation after adjusting for depression and the association of burnout and depression with self-reported medical errors. This cross-sectional study was conducted from November 12, 2018, to February 15, 2019. Attending and postgraduate trainee physicians randomly sampled from the American Medical Association Physician Masterfile were emailed invitations to complete an online survey in waves until a convenience sample of more than 1200 practicing physicians agreed to participate. The primary outcome was the association of burnout with suicidal ideation after adjustment for depression. The secondary outcome was the association of burnout and depression with self-reported medical errors. Burnout, depression, suicidal ideation, and medical errors were measured using subscales of the Stanford Professional Fulfillment Index, Maslach Burnout Inventory-Human Services Survey for Medical Personnel, and Mini-Z burnout survey and the Patient-Reported Outcomes Measurement Information System depression Short Form. Associations were evaluated using multivariable regression models. Of the 1354 respondents, 893 (66.0%) were White, 1268 (93.6%) were non-Hispanic, 762 (56.3%) were men, 912 (67.4%) were non-primary care physicians, 934 (69.0%) were attending physicians, and 824 (60.9%) were younger than 45 years. Each SD-unit increase in burnout was associated with 85% increased odds of suicidal ideation (odds ratio [OR], 1.85; 95% CI, 1.47-2.31). After adjusting for depression, there was no longer an association (OR, 0.85; 95% CI, 0.63-1.17). In the adjusted model, each SD-unit increase in depression was associated with 202% increased odds of suicidal ideation (OR, 3.02; 95% CI, 2.30-3.95). In the adjusted model for self-reported medical errors, each SD-unit increase in burnout was associated with an increase in self-reported medical errors (OR, 1.48; 95% CI, 1.28-1.71), whereas depression was not associated with self-reported medical errors (OR, 1.01; 95% CI, 0.88-1.16). The results of this cross-sectional study suggest that depression but not physician burnout is directly associated with suicidal ideation. Burnout was associated with self-reported medical errors. Future investigation might examine whether burnout represents an upstream intervention target to prevent suicidal ideation by preventing depression.

Sleep-related impairment in physicians is an occupational hazard associated with long and sometimes unpredictable work hours and may contribute to burnout and self-reported clinically significant medical error. To assess the associations between sleep-related impairment and occupational wellness indicators in physicians practicing at academic-affiliated medical centers and the association of sleep-related impairment with self-reported clinically significant medical errors, before and after adjusting for burnout. This cross-sectional study used physician wellness survey data collected from 11 academic-affiliated medical centers between November 2016 and October 2018. Analysis was completed in January 2020. A total of 19 384 attending physicians and 7257 house staff physicians at participating institutions were invited to complete a wellness survey. The sample of responders was used for this study. Sleep-related impairment. Association between sleep-related impairment and occupational wellness indicators (ie, work exhaustion, interpersonal disengagement, overall burnout, and professional fulfillment) was hypothesized before data collection. Assessment of the associations of sleep-related impairment and burnout with self-reported clinically significant medical errors (ie, error within the last year resulting in patient harm) was planned after data collection. Of all physicians invited to participate in the survey, 7700 of 19 384 attending physicians (40%) and 3695 of 7257 house staff physicians (51%) completed sleep-related impairment items, including 5279 women (46%), 5187 men (46%), and 929 (8%) who self-identified as other gender or elected not to answer. Because of institutional variation in survey domain inclusion, self-reported medical error responses from 7538 physicians were available for analyses. Spearman correlations of sleep-related impairment with interpersonal disengagement (r = 0.51; P < .001), work exhaustion (r = 0.58; P < .001), and overall burnout (r = 0.59; P < .001) were large. Sleep-related impairment correlation with professional fulfillment (r = -0.40; P < .001) was moderate. In a multivariate model adjusted for gender, training status, medical specialty, and burnout level, compared with low sleep-related impairment levels, moderate, high, and very high levels were associated with increased odds of self-reported clinically significant medical error, by 53% (odds ratio, 1.53; 95% CI, 1.12-2.09), 96% (odds ratio, 1.96; 95% CI, 1.46-2.63), and 97% (odds ratio, 1.97; 95% CI, 1.45-2.69), respectively. In this study, sleep-related impairment was associated with increased burnout, decreased professional fulfillment, and increased self-reported clinically significant medical error. Interventions to mitigate sleep-related impairment in physicians are warranted.

Prior research has revealed a gender gap in physician burnout. Our study attempts to elucidate the cause for the differences in burnout among male and female general surgeons (GS). The study is based on a sample of 431 GS from 11 healthcare organizations participating in the Physician Wellness Academic Consortium. Female (N = 154) and male (N = 277) GS significantly differed in burnout (46% vs 33%, p = 0.008) and professional fulfillment (PF), (37% vs 56% p < 0.001). Male surgeons reported a higher sense of control over their schedule (COS) (5.0 vs 4.2, p = 0.001). Mediation analyses showed that the gender effect on burnout was fully mediated through PF and COS. This study demonstrates that the observed differences in burnout between female and male GS are due to their differences in PF and COS. Longitudinal research is needed to determine whether interventions targeting PF and COS may mitigate burnout among female GS. •Burnout rate is higher among female general surgeons compared to male surgeons.•Female surgeons feel having significantly less COS.•Female surgeons have significantly lower levels of PF.•Sleep-related impairment is also a strong predictor of burnout.•The relationship between gender and burnout is fully mediated by PF and COS.

Goal:The objective of this study was to evaluate the prevalence of burnout and professional fulfillment among healthcare administrative leaders and examine the association between burnout and professional fulfillment and personal and professional characteristics.Methods:Between June 7 and June 30, 2021, we performed a national survey of CEOs and other senior operational leaders to evaluate their personal work experience. Burnout and professional fulfillment—as well as a sleep-related impairment and self-valuation—were assessed using standardized instruments.Principle Findings:Of the 5,994 members of the American College of Healthcare Executives who were sent an invitation to participate, 1,269 (21.2%), including 279 CEOs, submitted usable responses. The mean overall burnout score was 2.71 (range: 0–10), and 33% of participants had burnout scores that fell in the high range (unfavorable). Mean professional fulfillment score was 7.29 (range: 0–10), with 56.6% scoring in the high range (favorable). Burnout and professional fulfillment scores varied by role. On multivariable analysis, sleep-related impairment (OR for each 1-point increase = 1.29, 95% CI [1.19–1.41]; p < .001) and self-valuation (OR for each 1-point increase = 0.63, 95% CI [0.57–0.68]; p < .001) were independently associated with burnout after adjusting for all other variables.Applications to Practice:Results of this study suggest that healthcare leaders had lower burnout and professional fulfillment scores than clinicians. Nonetheless, one third of healthcare leaders had burnout scores that fell in the high range. At the individual level, improved sleep health and self-valuation appear to reduce risk of burnout and promote professional fulfillment.

To measure self-valuation, involving constructive prioritization of personal well-being and a growth mindset perspective that seeks to learn and improve as the primary response to errors, in physicians and evaluate its relationship with burnout and sleep-related impairment. We analyzed cross-sectional survey data collected between July 1, 2016, and October 31, 2017, from 5 academic medical centers in the United States. All faculty and medical-staff physicians at participating organizations were invited to participate. The self-valuation scale included 4 items measured on a 5-point (0-4) Likert scale (summative score range, 0-16). The self-valuation scale was developed and pilot tested in a sample of 250 physicians before inclusion in the multisite wellness survey, which also included validated measures of burnout and sleep-related impairment. Of the 6189 physicians invited to participate, 3899 responded (response rate, 63.0%). Each 1-point score increase in self-valuation was associated with -1.10 point lower burnout score (95% CI, -1.16 to -1.05; standardized β=-0.53; P<.001) and 0.81 point lower sleep-related impairment score (95% CI, -0.85 to -0.76; standardized β=-0.47; P<.001), adjusting for sex and medical specialty. Women had lower self-valuation (Cohen d=0.30) and higher burnout (Cohen d=0.22) than men. Lower self-valuation scores in women accounted for most of the sex difference in burnout. Low self-valuation among physicians is associated with burnout and sleep-related impairment. Further research is warranted to develop and test interventions that increase self-valuation as a mechanism to improve physician well-being.