| Literature DB >> 35381595 |
Salman Alsafran1, Dalia Albloushi2, Danah Quttaineh2, Abdullah A Alfawaz1, Ahmed Alkhamis1, Ali Alkhayat2, Maha Alsejari3, Salman Alsabah1.
Abstract
INTRODUCTION: The onset of the COVID-19 pandemic resulted in governments implementing new regulations to divert healthcare resources, which in return led to the postponement of elective and semi-elective surgical procedures. Therefore, many surgeons and as well as surgeons in training reported feeling redundant, which eventually resulted in psychological distress. This study aimed to assess the sociodemographic differences in the psychological impact resulting from the COVID-19 pandemic and outline the effect it had on surgical training.Entities:
Keywords: COVID-19; Depression, Anxiety and Stress Scale-21; Mental health; Surgical education
Mesh:
Year: 2022 PMID: 35381595 PMCID: PMC9148889 DOI: 10.1159/000524436
Source DB: PubMed Journal: Med Princ Pract ISSN: 1011-7571 Impact factor: 2.132
Descriptive analysis of the participants' demographics
| Participants' demographics, | |
|---|---|
| Age, mean (SD, range) | 37.2 (10.2, 24.0–74.0) |
| Gender, | |
| Male | 91 (70.5) |
| Nationality, | |
| Kuwaiti | 91 (70.5) |
| Marital status, | |
| Married | 81 (62.8) |
| Job title, | |
| Junior | 83 (64.3) |
| Specialty, | |
| General surgery | 96 (74.1) |
| Other surgical specialties | 33 (25.5) |
Descriptive analysis of the residents' views on the impact of the pandemic on surgical training and the resulting coping mechanisms
|
| |
| Cancellation of a previously planned surgical conference | |
| Yes | 33 (86.8) |
| No | 5 (13.2) |
| Postponed or shortened surgical rotation | |
| Yes | 25 (65.8) |
| No | 13 (34.2) |
| Postponed or shortened didactic teaching sessions | |
| Yes | 30 (78.9) |
| No | 8 (21.1) |
| Postponed or shortened wet/dry labs teaching sessions | |
| Yes | 33 (86.8) |
| No | 5 (13.2) |
| Reallocated surgical or medical COVID-19 duty | |
| Yes | 27 (71.05) |
| No | 11 (28.94) |
| Agree | 20 (52.6) |
| Neutral | 11 (28.9) |
| Disagree | 7 (18.4) |
| Pairing residents with virtual surgery mentors will help compensate for deficits in my surgical training | |
| Agree | 20 (52.6) |
| Neutral | 9 (23.7) |
| Disagree | 9 (23.7) |
| Small surgical workshops will help compensate for deficits in my surgical training | |
| Agree | 31 (81.6) |
| Neutral | 3 (7.9) |
| Disagree | 4 (10.5) |
| Virtual surgical skills workshops will help compensate for deficits in my surgical training | |
| Agree | 18 (47.4) |
| Neutral | 5 (13.2) |
| Disagree | 15 (39.5) |
| Virtual research sessions will help compensate for the deficiency | |
| Agree | 23 (60.5) |
| Neutral | 7 (18.4) |
| Disagree | 8 (21.1) |
Descriptive analysis of the participants' score results on the DASS-21 questionnaire
| Psychological impact of COVID-19 according to the DASS-21, | |
|---|---|
| Depression | 79 (61.2) |
| Mild | 22 (17.1) |
| Moderate | 26 (20.2) |
| Severe | 12 (9.3) |
| Extremely severe | 19 (14.7) |
| Anxiety | 62 (48.1) |
| Mild | 14 (10.9) |
| Moderate | 18 (14) |
| Severe | 8 (6.2) |
| Extremely severe | 22 (17.1) |
| Stress | 72 (55.8) |
| Mild | 33 (25.6) |
| Moderate | 19 (14.7) |
| Severe | 9 (7) |
| Extremely severe | 11 (8.5) |
| Depression, mean (SD) | 13.9 (11.0) |
| Anxiety, mean (SD) | 8.95 (9.12) |
| Stress, mean (SD) | 14.8 (11.2) |
Adjusted linear regression
| Factors associated with increased psychological impact | DASS-21 score | 95% CI | |
|---|---|---|---|
|
| |||
| Age (for every 1-year increase) | −0.444 | 0.205 | −1.127, 0.239 |
| Nationality | |||
| Non-Kuwaiti | 15.843 | 0.013 | 3.490, 28.196 |
| Marital status | |||
| Not married | 6.379 | 0.319 | −6.121, 18.879 |
| Rank | |||
| Senior | 2.898 | 0.66 | −10.002, 15.798 |
| Gender | |||
| Female | 3.153 | 0.613 | −9.036, 15.342 |
|
| |||
| Age (for every 1-year increase) | −0.219 | 0.098 | −0.476, 0.038 |
| Nationality | |||
| Non-Kuwaiti | 5.075 | 0.034 | 0.430, 9.720 |
| Marital status | |||
| Not married | 2.626 | 0.276 | −2.074, 7.326 |
| Rank | |||
| Senior | 0.051 | 0.984 | −4.800, 4.901 |
| Gender | |||
| Female | 0.436 | 0.852 | −4.147, 5.019 |
|
| |||
| Age (for every 1-year increase) | −0.055 | 0.616 | −0.268, 0.158 |
| Nationality | |||
| Non-Kuwaiti | 5.973 | 0.003 | 2.122, 9.824 |
| Marital status | |||
| Not married | 1.854 | 0.353 | −2.043, 5.751 |
| Rank | |||
| Senior | 0.338 | 0.869 | −3.683, 4.360 |
| Gender | |||
| Female | 1.898 | 0.33 | −1.902, 5.697 |
|
| |||
| Age (for every 1-year increase) | −0.171 | 0.216 | −0.439, 0.098 |
| Nationality | |||
| Non-Kuwaiti | 4.794 | 0.055 | −0.058, 9.647 |
| Marital status | |||
| Not married | 1.899 | 0.45 | −3.011, 6.809 |
| Rank | |||
| Senior | 2.509 | 0.334 | −2.558, 7.576 |
| Gender | |||
| Female | 0.82 | 0.738 | −3.968, 5.608 |