| Literature DB >> 33246426 |
Se Yoon Park1, Bongyoung Kim2, Dong Sik Jung3, Sook In Jung4, Won Sup Oh5, Shin-Woo Kim6, Kyong Ran Peck7, Hyun-Ha Chang8.
Abstract
BACKGROUND: This study aimed to investigate psychological distress among infectious disease (ID) physicians during the coronavirus disease 2019 (COVID-19) outbreak in the Republic of Korea.Entities:
Keywords: Burnout; COVID-19; Infectious diseases medicine; Psychological; Psychological distress; South Korea
Mesh:
Year: 2020 PMID: 33246426 PMCID: PMC7691971 DOI: 10.1186/s12889-020-09886-w
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Baseline characteristics of the ID physicians
| Characteristics | Total, | COVID-19 patient care | ||
|---|---|---|---|---|
| Yes ( | No ( | |||
| Sex, Female | 67 (58.3) | 43 (55.1) | 24 (64.9) | 0.323 |
| Age, median (IQR), years | 41 (37–48) | 42 (37–48) | 41 (38–47) | 0.904 |
| Marital status | ||||
| Married | 94 (81.7) | 66 (84.6) | 28 (75.7) | 0.246 |
| Have children | 86 (74.8) | 62 (79.5) | 24 (64.9) | 0.092 |
| Position in hospital | ||||
| Director of an ID department | 53 (46.1) | 33 (42.3) | 20 (54.1) | 0.238 |
| Director of an Infection Control team | 48 (41.7) | 28 (35.9) | 20 (54.1) | 0.065 |
| Both | 30 (26.1) | 13 (16.7) | 17 (45.9) | 0.001 |
| Numbers of ID specialists in the hospital, median (IQR) | 3 (2–4) | 3 (2–4) | 2 (1–3) | 0.194 |
| Length of career as an ID specialist (IQR), years | 8 (4–13) | 9 (3–13) | 7 (4–14) | 0.817 |
| Type of hospital | < 0.001 | |||
| University-affiliated hospital | 86 (74.8) | 65 (83.3) | 21 (56.8) | |
| Private, non-university-affiliated hospital | 19 (16.5) | 5 (6.4) | 15 (40.5) | |
| Public, non-university-affiliated hospital | 9 (7.8) | 8 (10.3) | 1 (2.7) | |
| Number of hospital beds | < 0.001 | |||
| ≥ 1200 | 22 (19.1) | 16 (20.5) | 6 (16.2) | |
| 900–1200 | 21 (18.3) | 21 (26.9) | 0 | |
| 600–900 | 45 (39.1) | 29 (37.2) | 16 (43.2) | |
| 300–600 | 24 (20.9) | 12 (15.4) | 12 (32.4) | |
| < 300 | 3 (2.6) | 0 | 3 (8.1) | |
| Participation in COVID-19 related night duty | 68 (59.1) | 56 (71.8) | 12 (32.4) | < 0.001 |
| Working hours per week | ||||
| Recent 2 weeks (April 2020), median (IQR), h | 62 (50–74) | 65 (54–76) | 52 (45–62) | < 0.001 |
| During COVID-19 outbreak, median (IQR), h | 84 (66–102) | 90 (75–115) | 70 (53–84) | < 0.001 |
Abbreviations: COVID-19 coronavirus disease-19, ID infectious disease, IQR interquartile range
Prevalence of depression, anxiety, stress, burnout and mean DASS-21/MBI-HSS scores according to care of patients with COVID-19
| Outcome | Total ( | COVID-19 patient care, Yes ( | COVID-19 patient care, No ( | ||||
|---|---|---|---|---|---|---|---|
| Prevalence, | Score, mean ± SD | Prevalence, | Score, mean ± SD | Prevalence, | Score, mean ± SD | ||
| DASS-21 | |||||||
| Depression | 20 (17.4) | 5.45 ± 4.16 | 14 (17.9) | 5.58 ± 4.30 | 6 (16.2) | 5.19 ± 3.90 | 0.643 |
| Anxiety | 23 (20.0) | 3.88 ± 3.74 | 17 (21.8) | 3.85 ± 3.63 | 6 (16.2) | 3.95 ± 4.01 | 0.894 |
| Stress | 5 (4.3) | 6.23 ± 3.86 | 4 (5.1) | 6.21 ± 3.94 | 1 (2.7) | 6.30 ± 3.75 | 0.905 |
| MBI-HSS scale | |||||||
| Emotional exhaustion | 97 (84.3) | 34.92 ± 10.01 | 68 (87.2) | 35.96 ± 10.32 | 29 (78.4) | 32.73 ± 9.25 | 0.108 |
| Depersonalization | 76 (66.1) | 10.55 ± 5.69 | 51 (65.4) | 10.71 ± 6.01 | 25 (67.6) | 10.22 ± 5.01 | 0.669 |
| Personal accomplishments | 76 (66.1) | 31.66 ± 8.18 | 51 (65.4) | 32.21 ± 8.54 | 25 (67.6) | 30.51 ± 7.34 | 0.302 |
| Burnout | 104 (90.4) | NA | 71 (91.0) | NA | 33 (89.2) | NA | 0.774 |
Abbreviations: DASS-21 Depression, Anxiety, and Stress scale-21, MBI-HSS the Maslach Burnout Inventory-Human Services Survey, NA not available, SD standard deviation
Fig. 1Pride and responsibility, and satisfaction as an infectious disease physician, and intention to select infectious disease specialty again if responders were to have another opportunity to choose a specialty
Factors protective against burnout as an ID physician
| Categories | |
|---|---|
| Value of work and recognition from others | |
| I feel my professional opinions are valued by other physicians | 102 (88.7) |
| I feel that my spouse or partner values my work | 81 (70.4) |
| I feel that my career is a large part of my identity as an adult | 80 (69.6) |
| I feel that my contributions are adequately recognized and acknowledged by my supervisors | 67 (58.3) |
| Human and financial support | |
| I feel that I have adequate support staff for maximum productivity in this role | 19 (16.5) |
| I feel that I am adequately financially compensated for my work | 11 (9.6) |
| I feel that it is possible to balance work and non-work responsibilities | 10 (8.7) |
| I feel that I have adequate coverage of my work responsibilities to tend to personal matters, emergencies, illness, etc. | 9 (7.8) |
| Housework and childcare | |
| My spouse/partner and I try our best to share household responsibilities equally | 38 (33) |
| Childcare is not a significant source of stress for me | 18 (15.7) |
| Ensuring enough private time | |
| I do not often have to complete work at home (clinician, infection control, and research) | 3 (2.6) |
| I have enough time to do something I enjoy | 3 (2.6) |
Fig. 2Difficulties in response to the COVID-19 outbreak. Abbreviations: COVID-19, coronavirus disease 19; ICPs, infection control practitioners; PPE, personal protective equipment, AIIRs, airborne infection isolation rooms; IRB, Institutional Review Board