| Literature DB >> 35386610 |
Devika Nair1,2, Laura Brereton3, Courtney Hoge4, Laura C Plantinga4,5, Varun Agrawal6, Sandeep S Soman7, Michael J Choi8, Bernard G Jaar9,10,11,12.
Abstract
Rationale & Objective: Burnout decreases job satisfaction and leads to poor patient outcomes but remains underinvestigated in nephrology. We explored the prevalence and determinants of burnout among a sample of nephrologists. Study Design: Cross-sectional. Setting & Participants: The nephrologists were approached via the American Medical Association Physicians Masterfile, National Kidney Foundation listserv, email, and social media between April and August 2019. The predictors were demographics and practice characteristics. The outcome was burnout, defined as responding "once a week" or more on either 1 of the 2 validated measures of emotional exhaustion and depersonalization or both. Analytical Approach: Participant characteristics were tabulated. Responses were compared using χ2 tests. Multivariable logistic regression was used to estimate the odds ratios (ORs) of burnout for risk factors. Free text responses were thematically analyzed.Entities:
Keywords: Burnout; depersonalization; emotional exhaustion; nephrology; survey
Year: 2022 PMID: 35386610 PMCID: PMC8978053 DOI: 10.1016/j.xkme.2022.100407
Source DB: PubMed Journal: Kidney Med ISSN: 2590-0595
Self-Reported Demographic and Practice-Related Characteristics of Participants (N=457)
| Characteristic | Participants, N (%) |
|---|---|
| Age, y | |
| <40 | 136 (29.8) |
| 40-59 | 225 (49.2) |
| ≥60 | 94 (20.6) |
| Missing | 2 (0.4) |
| Sex | |
| Male | 296 (64.8) |
| Female | 154 (33.7) |
| Missing | 7 (1.5) |
| Race | |
| Asian | 150 (32.8) |
| Black or African American | 15 (3.3) |
| White | 244 (53.4) |
| Other | 37 (8.1) |
| Missing | 11 (2.4) |
| Relationship status | |
| Married | 391 (85.6) |
| Other | 62 (13.6) |
| Missing | 4 (0.9) |
| Geographical region of practice | |
| Northeast or mid-Atlantic (CT, ME, MA, NH, RI, VT, NJ, NY, PA, DE, MD, DC) | 163 (35.7) |
| Midwest (IL, IN, MI, OH, WI, IA, KS, MN, MO, NE, ND, SD) | 64 (14.0) |
| South (FL, GA, NC, SC, VA, WV, AL, KY, MS, TN, AR, LA, OK, TX) | 131 (28.7) |
| West (AZ, CO, ID, MT, NV, NM, UT, WY, AK, CA, HI, OR, WA) | 82 (17.9) |
| Missing | 17 (3.7) |
| International medical graduate status | |
| Yes | 167 (36.5) |
| No | 285 (62.4) |
| Missing | 5 (1.1) |
| Years in practice | |
| 0-5 | 110 (24.1) |
| 6-20 | 219 (47.9) |
| >20 | 124 (27.1) |
| Missing | 4 (0.9) |
| Number of patients seen per wk | |
| ≤25 | 80 (17.5) |
| 26-75 | 217 (47.5) |
| >75 | 155 (33.9) |
| Missing | 5 (1.1) |
| Academic setting of practice | |
| Yes | 286 (62.6) |
| No | 167 (36.5) |
| Missing | 4 (0.9) |
| Occupies the majority of working time | |
| Patient care | 305 (66.7) |
| Other | 114 (25.0) |
| Missing | 38 (8.3) |
| Subject area(s) of practice | |
| Pediatrics | 30 (6.7) |
| Transplantation | 173 (37.9) |
| Critical care | 198 (43.3) |
| Interventional nephrology | 22 (4.8) |
| Palliative care | 35 (7.7) |
| Dialysis | 362 (79.2) |
| Nondialysis kidney disease | 378 (82.7) |
| Missing | 20 (4.4) |
Abbreviations: AK, Alaska, AL, Alabama; AR, Arkansas; AZ, Arizona; CA, California; CO, Colorado; CT, Connecticut; DC, District of Columbia; DE, Delaware; FL, Florida; GA, Georgia; HI, Hawaii; IA, Iowa; ID, Idaho; IL, Illinois; IN, Indiana; KS, Kansas; KY, Kentucky; LA, Louisiana; MA, Massachusetts; MD, Maryland; ME, Maine; MI, Michigan; MN, Minnesota; MO, Missouri; MS, Mississippi; MT, Montana; NC, North Carolina; ND, North Dakota; NE, Nebraska; NH, New Hampshire; NJ, New Jersey; NM, New Mexico; NV, Nevada; NY, New York; OH, Ohio; OK, Oklahoma; OR, Oregon; PA, Pennsylvania; RI, Rhode Island; SC, South Carolina; SD, South Dakota; TN, Tennessee; TX, Texas; UT, Utah; VA, Virginia; VT, Vermont; WA, Washington; WI, Wisconsin; WV, West Virginia; WY, Wyoming.
Participants could select >1 answer.
No participants selected that they were widowed.
Figure 1Frequencies of the most commonly reported drivers of burnout (among 106 participants who reported burnout, as defined by responding “once a week” or more frequently to either the question regarding emotional exhaustion or that regarding depersonalization). (A) Percentage of individuals reporting a reason as the primary driver of burnout. (B) Percentage of individuals reporting a reason being among the top 3 drivers of burnout. Abbreviation: EMR, electronic medical record.
Characteristics of Participants by Burnout Status (N=457)
| Characteristic | Burnout Status, N (%) | ||
|---|---|---|---|
| Yes | No | ||
| Total N | 106 (23.2) | 351 (76.8) | |
| Age, y | |||
| <40 | 29 (27.9) | 107 (30.5) | 0.43 |
| 40-59 | 57 (54.8) | 168 (47.9) | |
| ≥60 | 18 (17.3) | 76 (21.7) | |
| Sex | |||
| Male | 65 (61.9) | 231 (67.0) | 0.35 |
| Female | 40 (38.1) | 114 (33.0) | |
| Race | |||
| Asian | 31 (29.8) | 119 (34.8) | 0.77 |
| Black or African American | 4 (3.9) | 11 (3.2) | |
| White | 61 (58.7) | 183 (53.5) | |
| Other | 8 (7.8) | 29 (8.5) | |
| Relationship status | |||
| Married | 89 (84.8) | 302 (86.8) | 0.63 |
| Other | 16 (15.2) | 46 (13.2) | |
| Geographical region of practice | |||
| Northeast or mid-Atlantic (CT, ME, MA, NH, RI, VT, NJ, NY, PA, DE, MD, DC) | 36 (34.6) | 127 (37.8) | 0.74 |
| Midwest (IL, IN, MI, OH, WI, IA, KS, MN, MO, NE, ND, SD) | 13 (12.5) | 51 (15.2) | |
| South (FL, GA, NC, SC, VA, WV, AL, KY, MS, TN, AR, LA, OK, TX) | 33 (31.7) | 98 (29.2) | |
| West (AZ, CO, ID, MT, NV, NM, UT, WY, AK, CA, HI, OR, WA) | 22 (21.2) | 60 (17.9) | |
| International medical graduate status | |||
| Yes | 32 (30.5) | 135 (38.9) | 0.13 |
| No | 73 (69.5) | 212 (61.1) | |
| Years in practice | |||
| 0-5 | 23 (21.7) | 87 (25.1) | 0.44 |
| 6-20 | 57 (53.8) | 162 (46.7) | |
| >20 | 26 (24.5) | 98 (28.2) | |
| Number of patients seen per wk | |||
| ≤25 | 8 (7.6) | 72 (20.8) | <0.01 |
| 26-75 | 49 (46.7) | 168 (48.4) | |
| >75 | 48 (45.7) | 107 (30.8) | |
| Academic setting of practice | |||
| Yes | 49 (46.7) | 237 (68.1) | <0.01 |
| No | 56 (53.3) | 111 (31.9) | |
| Occupies the majority of working time | |||
| Patient care | 86 (85.2) | 219 (68.9) | <0.01 |
| Other | 15 (14.9) | 99 (31.1) | |
Abbreviations: AK, Alaska, AL, Alabama; AR, Arkansas; AZ, Arizona; CA, California; CO, Colorado; CT, Connecticut; DC, District of Columbia; DE, Delaware; FL, Florida; GA, Georgia; HI, Hawaii; IA, Iowa; ID, Idaho; IL, Illinois; IN, Indiana; KS, Kansas; KY, Kentucky; LA, Louisiana; MA, Massachusetts; MD, Maryland; ME, Maine; MI, Michigan; MN, Minnesota; MO, Missouri; MS, Mississippi; MT, Montana; NC, North Carolina; ND, North Dakota; NE, Nebraska; NH, New Hampshire; NJ, New Jersey; NM, New Mexico; NV, Nevada; NY, New York; OH, Ohio; OK, Oklahoma; OR, Oregon; PA, Pennsylvania; RI, Rhode Island; SC, South Carolina; SD, South Dakota; TN, Tennessee; TX, Texas; UT, Utah; VA, Virginia; VT, Vermont; WA, Washington; WI, Wisconsin; WV, West Virginia; WY, Wyoming.
Burnout is defined as responding “once a week” or more frequently to either the question regarding emotional exhaustion or that regarding depersonalization.
Using χ2 or Fisher exact test, as appropriate.
Associations of Select Participant Characteristics With Burnout (N=457)a
| Characteristic | Unadjusted OR (95% CI) | Adjusted OR (95% CI) |
|---|---|---|
| Number of patients seen per wk | ||
| ≤25 | 0.38 (0.17-0.85) | 0.34 (0.15-0.77) |
| 26-75 | 1.00 (ref.) | 1.00 (ref.) |
| >75 | 1.54 (0.97-2.45) | 1.59 (0.98-2.58) |
| Academic setting of practice | ||
| Yes | 0.41 (0.26-0.64) | 0.33 (0.21-0.54) |
| No | 1.00 (ref.) | 1.00 (ref.) |
| Occupies majority of working time | ||
| Patient care | 1.00 (ref.) | 1.00 (ref.) |
| Other | 0.39 (0.21-0.70) | 0.32 (0.17-0.61) |
Abbreviations: CI, Confidence Interval; OR, odds ratio; ref, reference.
Burnout is defined as responding “once a week” or more frequently to either the question regarding emotional exhaustion or that regarding depersonalization.
Adjusted for age (<40, 40-59, and ≥60 years), sex (male vs. female), race (White vs other), and international medical graduate status (yes vs no).
Figure 2Conceptual framework of qualitative themes from free text responses.
Facilitator Source Levels, Qualitative Themes, and Quotes
| Theme | Example Quotes |
|---|---|
| Individual or interpersonal | |
| Felt inability to help patients: patients are too sick and their needs are too complex | “My patients are sick, even when they’re ‘well.’ The tools I have to test them with are often as toxic as the diseases, with flimsy evidence to support them.” |
| Felt lack of appreciation | “I sense an overall lack of respect, less by my colleagues, more by patients/family members, and more egregiously from administrators…” |
| Systems or practice | |
| Too many tasks unrelated to patient care, electronic health record requirements | “Electronic records have pervaded my personal life and prevented [me] having full focus on the patient during clinic visits, which has contributed to my unhappiness with practicing medicine. Many of the tasks/clicks can be done by clinical support staff.” |
| Lack of autonomy caused by administrative bureaucracy | “It has become hard to do the ‘right things.’ There is too much bureaucracy. Physicians have no autonomy and are told how to work by administrators.” |
| United States health care system only cares about money | “There are other serious problems with current nephrology practice. The fact that we get paid more (or generate more relative value units) for putting a patient on dialysis (a ‘failure’) than for preventing [kidney disease] is a sad statement that is of a 1980s mentality.” |
| Concerns about vitality or sustainability of nephrology as a field | “I am concerned about the future of academic nephrology because the powers that be do not seem to realize the importance of facilitating research. We should do much more to fund research. Otherwise, young nephrologists will not pursue research.” |
| Commercial dialysis company power | “My relationship with [the dialysis provider] is especially troubling because I am yoked to them by my medical director [with] non-competes, and they are manipulative.” |
| Dissatisfaction with pay | “I felt compelled to decrease the number of patients I see per day to keep up with the current documentation requirements (it is not unusual to spend more time entering data then with the patient–so frustrating). Because my productivity has dropped, I have had to accept a significant reduction in my paycheck.” |