| Literature DB >> 35061080 |
Anna Grishina1, Fabian Link2, Arne Arend3, Florentine Kleemann4, Pinkus Tober-Lau5, Dominik Andree6, Friederike Münn5, Magdalena Gruendl7, Markus Quante8, Hans Lederhuber9, Markus Albertsmeier10, Florian Struller11, Robert Grützmann11, Alfred Königsrainer8,12, Markus W Löffler13,14,15,16.
Abstract
BACKGROUND: The SARS-CoV‑2 pandemic has extensively challenged healthcare systems all over the world. Many elective operations were postponed or cancelled, changing priorities and workflows in surgery departments. AIMS: The primary aim of this cross-sectional study was to assess the workload and psychosocial burden of surgeons and anesthesiologists, working in German hospitals during the first wave of SARS-CoV‑2 infections in 2020.Entities:
Keywords: COVID-19; Healthcare; Stress factors; Work-related dissatisfaction; Working conditions
Mesh:
Year: 2022 PMID: 35061080 PMCID: PMC8780051 DOI: 10.1007/s00508-021-02000-z
Source DB: PubMed Journal: Wien Klin Wochenschr ISSN: 0043-5325 Impact factor: 2.275
Fig. 1Flow chart of study participants. The flow chart depicts the participation in the different survey sections via the LimeSurvey platform with respective numbers (n). Since several participants dropped out, the number (n) of participants in each section is presented, alongside the drop-out rates by section. Overall, 138 people completed the entire survey
Fig. 2Changes in working conditions comparing the situation before and during the pandemic. The bar chart depicts % changes in work-related aspects before and during the pandemic (after the first wave of SARS-CoV‑2 infections in Germany) as reported by survey participants (n = 138). The items presented are shortened statements from original questions. An exemplary pair of items (as authors’ translation from German) used is “Before the onset of the COVID-19 pandemic, my workload was high” and “Currently, my workload is high”
Fig. 3Work-related stress factors perceived by study participants. The bar graph illustrates % fractions of selected work-related stress factors during the SARS-CoV‑2 as increased (more), equal or less, when compared to the situation before the pandemic by survey participants (n = 138)
Study participant characterization (n = 154) and hospital information
| % | |||
|---|---|---|---|
| Female | 58 | 38 | |
| Male | 94 | 61 | |
| No answer | 2 | 1 | |
| 25–34 | 54 | 35 | |
| 35–44 | 35 | 23 | |
| 45–54 | 40 | 26 | |
| 55–64 | 23 | 15 | |
| ≥ 65 | 1 | < 1 | |
| No answer | 1 | < 1 | |
| Resident | 54 | 35 | |
| Specialist physician (board certified) | 20 | 13 | |
| Consultant (senior physician) | 37 | 24 | |
| Chief physician (head of department) | 40 | 26 | |
| No answer | 3 | 2 | |
| Basic provider hospital | 18 | 12 | |
| Outpatient surgery center | 1 | < 1 | |
| Focus provider hospital | 46 | 30 | |
| Maximum care hospital | 21 | 14 | |
| University hospital | 67 | 43 | |
| No answer | 1 | < 1 | |
| North Rhine-Westphalia | 35 | 23 | |
| Baden-Württemberg | 32 | 21 | |
| Bavaria | 20 | 13 | |
| Lower Saxony | 15 | 10 | |
| Hesse | 10 | 7 | |
| Saxony | 7 | 5 | |
| Berlin | 6 | 4 | |
| Rhineland-Palatinate | 5 | 3 | |
| Saxony-Anhalt | 5 | 3 | |
| Schleswig-Holstein | 5 | 3 | |
| Thuringia | 4 | 3 | |
| Brandenburg | 3 | 2 | |
| Bremen | 2 | 1 | |
| Hamburg | 2 | 1 | |
| Saarland | 2 | 1 | |
| No answer | 1 | < 1 | |
Classification of study participants by specialization and level of professional education (n = 154)
| Specialization | % | |
|---|---|---|
| General surgery | 4 | 7 |
| Anesthesiology | 15 | 28 |
| Ophthalmology | 2 | 4 |
| Dermatology | 1 | 2 |
| Vascular surgery | 1 | 2 |
| Gynecology | 1 | 2 |
| Otorhinolaryngology | 2 | 4 |
| Pediatric surgery | 1 | 2 |
| Oral and maxillofacial surgery | 2 | 4 |
| Neurosurgery | 1 | 2 |
| Orthopedics and trauma surgery | 2 | 4 |
| Plastic and aesthetic surgery | 2 | 4 |
| Urology | 2 | 4 |
| Visceral surgery | 18 | 33 |
| General surgery | 21 | 22 |
| Anesthesiology | 28 | 29 |
| Ophthalmology | 3 | 3 |
| Dermatology | 1 | 1 |
| Vascular surgery | 5 | 5 |
| Gynecology | 4 | 4 |
| Otorhinolaryngology | 3 | 3 |
| Cardiac surgery | 1 | 1 |
| Oral and maxillofacial surgery | 2 | 2 |
| Neurosurgery | 3 | 3 |
| Orthopedics and trauma surgery | 8 | 8 |
| Thoracic surgery | 5 | 5 |
| Urology | 2 | 2 |
| Visceral surgery | 11 | 11 |
| – | – | |
Survey replies concerning the resumption of routine practice and elective surgery (n = 154)
| ( | % | |
|---|---|---|
| Yes | 110 | 71 |
| No | 38 | 25 |
| “I don’t know” | 6 | 4 |
| 0–≤ 20% | 15 | 10 |
| > 20–≤ 40% | 23 | 15 |
| > 40–≤ 60% | 38 | 25 |
| > 60–≤ 80% | 47 | 30 |
| > 80–≤ 100% | 19 | 12 |
| “I don’t know” | 12 | 8 |
| Since the outbreak of the pandemic, elective surgery has been performed in our department without restrictions | 2 | 1 |
| < 3 weeks | 1 | < 1 |
| 3–6 weeks | 46 | 30 |
| 7–10 weeks | 60 | 39 |
| > 10 weeks | 38 | 25 |
| No elective surgeries are currently performed | 1 | < 1 |
| No answer | 1 | < 1 |
| Othera | 5 | 3 |
| Yes | 7 | 5 |
| No answer | 8 | 5 |
aReduced elective program since April 2020 until today; elective oncological surgery was continued, the surgical capacity is still limited
Survey replies concerning associated factors for work-related dissatisfaction (n = 138)
| Strongly disagree | Somewhat disagree | Neither | Somewhat agree | Strongly agree | No answer | |
|---|---|---|---|---|---|---|
| 26 | 33 | 23 | 48 | 6 | 2 | |
| (19%) | (24%) | (17%) | (35%) | (4%) | (1%) | |
| 14 | 36 | 23 | 39 | 24 | 2 | |
| (10%) | (26%) | (17%) | (28%) | (17%) | (1%) | |
| 2 | 13 | 10 | 68 | 44 | 1 | |
| (1%) | (10%) | (7%) | (49%) | (32%) | (< 1%) | |
| 5 | 21 | 32 | 60 | 18 | 2 | |
| (4%) | (15%) | (23%) | (43%) | (13%) | (1%) | |
| 7 | 24 | 22 | 56 | 27 | 2 | |
| (5%) | (17%) | (16%) | (41%) | (20%) | (1%) | |
| 70 | 37 | 18 | 8 | 3 | 2 | |
| (51%) | (27%) | (13%) | (6%) | (2%) | (1%) | |
| 27 | 47 | 30 | 21 | 13 | – | |
| (20%) | (34%) | (22%) | (15%) | (9%) |
Fig. 4Correlation analysis of survey replies concerning different stress factors. The correlation matrix displays the statistical relation of answers on the questionnaire as Spearman’s rank correlation coefficient. Statistically significant results are printed in bold, non-significant results are grayed out. A correlation coefficient is usually considered to indicate a negligible correlation from 0.00 to ±0.19, a weak correlation from ±0.20 to ±0.39, a moderate correlation from ±0.40 to ±0.59, a strong correlation from ±0.60 to ±0.79, and a very strong correlation from ±0.80 to ±1.00. A positive correlation coefficient indicates a positive relationship between the two variables, while a negative correlation coefficient indicates a negative relationship
Survey replies concerning the evaluation of mitigation strategies (n = 138)
| Not useful | Somewhat useful | Useful | No answer | |
|---|---|---|---|---|
| Return to prepandemic conditions | 81 | 26 | 28 | 3 |
| (59%) | (19%) | (20%) | (2%) | |
| Establishment of action plans to increase pandemic preparedness and to strengthen public health systems | – | 6 | 129 | 3 |
| (4%) | (94%) | (2%) | ||
| Research of new approaches to better protect medical and nursing staff from risks in pandemics | 2 | 8 | 127 | 1 |
| (1%) | (6%) | (92%) | (< 1%) | |
| Preparation of national guidelines for action to combat the pandemic | 2 | 8 | 127 | 1 |
| (1%) | (6%) | (92%) | (< 1%) | |
| Preparation of regional and local action plans to combat the pandemic | 7 | 12 | 118 | 1 |
| (5%) | (9%) | (85%) | (< 1%) | |
| Establishment of concepts for more efficient personnel deployment in times of crisis | 6 | 15 | 115 | 2 |
| (4%) | (11%) | (83%) | (1%) | |
| Extension of inter-professional cooperation and communication with other fields | 5 | 20 | 111 | 2 |
| (4%) | (15%) | (80%) | (1%) | |
| Prioritized testing of healthcare workers in the case of a pandemic | 6 | 17 | 114 | 1 |
| (4%) | (12%) | (83%) | (< 1%) |