| Literature DB >> 35166085 |
Hae Suk Cheong1, Ki Tae Kwon2, Soyoon Hwang3, Shin-Woo Kim4, Hyun-Ha Chang4, Se Yoon Park5, Bongyoung Kim6, Shinwon Lee7, Jiho Park8, Sang Taek Heo9, Won Sup Oh10, Yeonjae Kim11, Kyung-Hwa Park12, Chang Kyung Kang13, NamHee Oh14, Su Jin Lim15, Seongcheol Yun16, Ji Woong Son17.
Abstract
BACKGROUND: As the coronavirus disease 2019 (COVID-19) pandemic is ongoing, heavy workload of healthcare workers (HCWs) is a concern. This study investigated the workload of HCWs responding to the COVID-19 outbreak in South Korea.Entities:
Keywords: Burnout; Health Facilities; Health Workforce; SARS-CoV-2
Mesh:
Year: 2022 PMID: 35166085 PMCID: PMC8845106 DOI: 10.3346/jkms.2022.37.e49
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Fig. 1The geographical distribution of participating hospitals in the study.
Comparisons of hospital beds and workload of healthcare workers caring for inpatients with COVID-19 in various healthcare facilities
| Category | Variables | Total | Public medical centers (n = 4) | National tertiary-care hospitals (n = 7) | Private tertiary-care hospitals (n = 4) | |
|---|---|---|---|---|---|---|
| Hospital beds | Number of total hospital beds for COVID-19 patients, median (IQR) | 23 (6–42.5) | 94 (58.2–142) | 23 (16–27.5) | 3.5 (2.75–4.25) | 0.004 |
| Number of total hospital beds for COVID-19 patients, median (IQR) | 23 (6–42.5) | 94 (58.2–142) | 11 (4.5–23) | 0.009 | ||
| Number of hospital beds for critical care, median (IQR) | 4 (1–5.5) | 0 (0–3) | 5 (4.5–6.5) | 1.5 (1–2.5) | 0.084 | |
| Number of hospital beds for critical care, median (IQR) | 4 (1–5.5) | 0 (0–3) | 4 (2–5.5) | 0.148 | ||
| Doctor | Number of beds per doctor, median (IQR) | 5.3 (2.1–9.8) | 20.2 (13.0– 29.4) | 5.3 (3.0–7.1) | 1.1 (0.9–1.7) | 0.005 |
| Number of beds per doctor, median (IQR) | 5.3 (2.1–9.8) | 20.2 (13.0–29.4) | 3.0 (1.3–6.6) | 0.006 | ||
| Working hours per week | a | a | a | a | NA | |
| Nurse | Number of nurses per patient, median (IQR) | 3.8 (1.4–4.8) | 1.1 (0.8–2.1) | 4.6 (2.7–4.8) | 4.3 (3.4–5.3) | 0.219 |
| Number of nurses per patient, median (IQR) | 3.8 (1.4–4.8) | 1.1 (0.8–2.1) | 4.6 (3.4–5) | 0.089 | ||
| Working hours per week, median (IQR) | 40 (40–42) | 40 (40–40) | 40 (40–44) | 42 (40–44.2) | 0.378 | |
| Working hours per day, median (IQR) | 8 (8–9) | 8.5 (8–9) | 8 (8–8.3) | 9 (8.8–9) | 0.228 | |
COVID-19 = coronavirus disease 2019, IQR = interquartile range, NA = not available.
aIt was difficult to calculate working hours for doctors. Doctors-in-training such as interns and residents, are limited to 80 hours per week according to the law of doctor-in-training, but most attending physicians work without restriction on working hours per week.
Characteristics of work pattern and profession title for healthcare workers caring for inpatients with COVID-19
| Occupation | Characteristics | Values (n = 15) | ||
|---|---|---|---|---|
| Doctor | Departments and titles participating in COVID-19 treatment | |||
| Attending physician | ||||
| Infectious Diseases | 12 (80.0) | |||
| Pulmonology | 9 (60.0) | |||
| Other Internal Medicine | 3 (20.0) | |||
| Emergency Medicine | 2 (13.3) | |||
| Resident | 10 (66.7) | |||
| Intern | 4 (26.7) | |||
| Nurse | Working pattern | |||
| Full-time | 12 (80.0) | |||
| Rotation to the ward for non-COVID-19 | 3 (20.0) | |||
| Other works besides general nursing duties | ||||
| Medical device management | 12 (80.0) | |||
| Cleaning and disinfection | 10 (66.7) | |||
| Laboratory sample transfer | 5 (33.3) | |||
| Meal delivery and feeding assistance | 4 (26.7) | |||
Values are presented as number (%)
COVID-19 = coronavirus disease 2019.
Management and workforce of COVID-19 screening centers in enrolled healthcare facilities
| Characteristics | Values (n = 16) | ||
|---|---|---|---|
| Management | |||
| Operation of screening center | 16 (100) | ||
| Separation of screening center according to the presence or absence of symptoms | 9 (56.3) | ||
| Office hours | |||
| Daytime | 13 (81.3) | ||
| 24 hours | 3 (18.8) | ||
| Saturday | 14 (87.5) | ||
| Sunday | 4 (25.0) | ||
| HCWs participating in respiratory sampling | |||
| Doctor | 12 (75.0) | ||
| Nurse | 8 (50.0) | ||
| Medical technologist | 2 (12.5) | ||
| Workforce | |||
| Number of HCWs on working days | |||
| Doctor, median (IQR) | 2 (1.5–3) | ||
| Nurse and nursing assistant, median (IQR) | 5 (4–9) | ||
| Administrative staff, median (IQR) | 2 (1.5–2.5) | ||
Values are presented as number (%)
COVID-19 = coronavirus disease 2019, HCW = healthcare worker, IQR = interquartile range.
Healthcare workers infected with COVID-19 in enrolled healthcare facilities
| Characteristics | Value (n = 42) | |
|---|---|---|
| Occupation | ||
| Nurse | 20 (47.6) | |
| Doctor | 13 (31.0) | |
| Hospital administrators and maintenance workers | 6 (14.3) | |
| Radiologic technologist | 3 (7.1) | |
| Cause of infection | ||
| Care of COVID-19 patient | 4 (9.5) | |
| Accidental exposure inside hospital | 20 (47.6) | |
| Accidental exposure outside hospital | 18 (42.9) | |
COVID-19 = coronavirus disease 2019.