| Literature DB >> 36002903 |
Noaa Shopen1, Assaf Schneider2, Reut Aviv Mordechai3, Malka Katz Shalhav3, Efrat Zandberg3, Moshe Sharist3, Pinchas Halpern3.
Abstract
BACKGROUND: Burnout is a common issue among physicians, and the rate among emergency medicine physicians (EPs) appears to be higher than those of other medical specialties. The COVID-19 pandemic presents unprecedented challenges to the medical community worldwide, but its effects on EP burnout has not yet been determined.Entities:
Keywords: Burnout; COVID-19; Emergency medicine physicians; Pandemic; Work meaning; Work overload
Mesh:
Year: 2022 PMID: 36002903 PMCID: PMC9399983 DOI: 10.1186/s13584-022-00539-4
Source DB: PubMed Journal: Isr J Health Policy Res ISSN: 2045-4015
Fig. 1Flowchart of the survey
Participants’ demographics
| Before the pandemic | During the pandemic | ||
|---|---|---|---|
| N = 88 (%) | N = 101 (%) | ||
| 0.039 | |||
| < 40 | 45 (52) | 66 (66) | |
| 41–50 | 21 (24) | 17 (17) | |
| > 51 | 21 (25) | 18 (18) | |
| 0.957 | |||
| Male | 59 (67) | 65 (64) | |
| Female | 29 (33) | 34 (33) | |
| In a relationship | 75 (85) | 80 (79) | 0.276 |
| Has children | 66 (75) | 68 (72) | 0.069 |
| Average number of children | 2.1 ± 1.5 (0–6) | (0–5) 1.85 ± 1.5 | 0.423 |
| Regular physical activity | 34 (39) | 36 (36) | 0.884 |
| Moderate or high alcohol consumption | 28 (32) | 25 (25) | 0.268 |
| Use of non-prescription psychoactive substances | 4 (4.5) | 2 (2) | 0.406 |
| Seniority | 0.048 | ||
| Attending physicians | 49 (55.7) | 47 (47) | |
| Resident | 39 (44.3) | 52 (51) | |
| Years of practicing medicine | 0.522 | ||
| < 5 | 40 (45) | 31 (31) | |
| 5–15 | 31 (35) | 39 (39) | |
| ≥ 16 | 17 (20) | 30 (29) | |
| 0.104 | |||
| < 5 | 40 (45) | 66 (65) | |
| 5–15 | 21 (24) | 27 (27) | |
| ≥ 16 | 27 (31) | 7 (7) | |
| 0.001 | |||
| < 40 | 25 (28.5) | 31 (31) | |
| 40–50 | 37 (42) | 33 (33) | |
| ≥ 51 | 26 (29.5) | 31 (31) | |
| 0.059 | |||
| 0 | 54 (61) | 65 (64) | |
| < 30 | 26 (30) | 28 (28) | |
| > 30 | 8 (9) | 1 (1) | |
| 0.879 | |||
| 0 | 20 (23) | 19 (19) | |
| 1–3 | 9 (11) | 8 (8) | |
| 4–6 | 48 (54) | 60 (59) | |
| > 7 | 11 (13) | 12 (12) | |
| 0.648 | |||
| < 10 | 14 (16) | 10 (10) | |
| 10–30 | 34 (39) | 32 (32) | |
| 30–60 | 29 (33) | 44 (44) | |
| > 60 | 11 (12) | 9 (9) | |
| 0.014 | |||
| 0–5 | 6 (7) | 17 (17) | |
| 06–10 | 24 (27) | 36 (36) | |
| 11–20 | 37 (42) | 37 (37) | |
| > 20 | 21 (24) | 10 (10) |
Maslach Score for the first (pre-pandemic) group (N = 84)
| Index | High score | Medium score | Low score | Mean (SD) |
|---|---|---|---|---|
| Emotional exhaustion, n (%) | 15 (18%) | 12 (12%) | 29 (1.5) | |
| Depersonalization, n (%) | 24 (29%) | 27 (32%) | 10 (0.8) | |
| Personal accomplishment, n (%) | 49 (49%) | 29 (35%) | 40 (0.5) |
Bold – score indicating high burnout
Maslach score for the second (pandemic) group (N = 93)
| Index | High score | Medium score | Low score | Mean (SD) |
|---|---|---|---|---|
| Emotional exhaustion, n (%) | 13 (14%) | 1 (1%) | 36 (1.8) | |
| Depersonalization, n (%) | 26 (31%) | 12 (13%) | 13 (0.8) | |
| Personal accomplishment, n (%) | 85 (91%) | 8 (9%) | 44 (1.6) |
Bold – score indicating high burnout
Unique pandemic stress factors
| Stress Factor | Mean score (range 1–3) | Std deviation | Number of participants stating the factor as being irrelevant for them |
|---|---|---|---|
| Social distancing from loved ones (non-nuclear family) | 2.49 | 0.68 | 6 |
| Increase in working hours | 2.38 | 0.69 | 7 |
| Increase in workload | 2.58 | 0.63 | 1 |
| Shortage in protective gear | 2.13 | 0.85 | 16 |
| Need to wear protective gear while working | 2.48 | 0.67 | 1 |
| Exposure to the virus in the workplace | 2.25 | 0.69 | 1 |
| Fear of infecting family members | 2.63 | 0.61 | 6 |
| Fear of infecting co-workers | 2.51 | 0.67 | 4 |
| Need to support family member in the setting of increased workload | 2.25 | 0.76 | 14 |
| Inability to give adequate medical care | 2.31 | 0.72 | 7 |
| Lack of sufficient logistic support | 2.55 | 0.72 | 12 |
| Reduced wages | 2.3 | 0.80 | 31 |
| No educational or daycare centers for children | 2.62 | 0.74 | 39a |
a20 had no children
Supporting factors unique to the pandemic
| Supporting factor | Mean score (range 1–3) | Std deviation | Number of participants stating the factor as being irrelevant for them |
|---|---|---|---|
| Family and friends | 2.69 | 0.57 | 1 |
| Co-workers | 2.50 | 0.66 | 3 |
| Community | 1.99 | 0.88 | 9 |
| Management | 2.02 | 0.88 | 5 |
| Improvement of physical working conditions | 2.17 | 0.88 | 9 |
| Reduced working hours | 2.43 | 0.84 | 38 |
| Working 12/24 shifts | 1.77 | 0.90 | 17a |
| Improved wages | 2.43 | 0.76 | 26 |
athose who stated that the switch to 12/24-h shifts was helpful had an average of 5.13 24-h shifts per month, compared to an average of 3.8 for those who found the change unhelpful
Pre-pandemic and pandemic burnout, independent groups
| Mean pre-pandemic (n = 45) | Mean pandemic (n = 54) | Mean difference | SD | ||
|---|---|---|---|---|---|
| Emotional exhaustion | 33 | 40 | 0.008 | 7 | 3 |
| Depersonalization | 13 | 14 | 0.216 | 1 | 2 |
| Professional accomplishment | 40 | 47 | < 0.001 | 7 | 1 |
| WAMI | 35 | 40 | 0.005 | 4 | 2 |
WAMI scores for the 14 workshop participants
| Participant | Before COVID-19 | During COVID-19 | Immediately after the workshop | 3 months after the workshop |
|---|---|---|---|---|
| 1 | 40 | 41 | 46 | 39 |
| 2 | 40 | 37 | 37 | 27 |
| 3 | 39 | 44 | 45 | 38 |
| 4 | 41 | 49 | 50 | 50 |
| 5 | 36 | 36 | 33 | 37 |
| 6 | 31 | 39 | 35 | |
| 7 | 41 | 48 | 42 | 42 |
| 8 | 41 | 38 | 44 | 41 |
| 9 | 38 | 23 | 38 | 27 |
| 10 | 41 | 40 | 41 | 43 |
| 11 | 25 | 30 | 17 | 28 |
| 12 | 36 | 32 | 33 | 35 |
| 13 | 37 | 32 | 25 | 29 |
| 14 | 39 | 42 | 44 | 39 |