| Literature DB >> 32829231 |
Neha Shah1, Ali Raheem2, Michail Sideris3, Luxmi Velauthar4, Ferha Saeed4.
Abstract
OBJECTIVE: To explore the impact of the COVID-19 pandemic on the mental health of Obstetricians and Gynaecologists. STUDYEntities:
Keywords: Education and training; Gynaecology; Mental health; Obstetrics
Mesh:
Year: 2020 PMID: 32829231 PMCID: PMC7417944 DOI: 10.1016/j.ejogrb.2020.07.060
Source DB: PubMed Journal: Eur J Obstet Gynecol Reprod Biol ISSN: 0301-2115 Impact factor: 2.435
Respondent’s demographics.
| Male | 39 (18.9 %) |
| Female | 167 (81.1 %) |
| 20−34 years | 93 (44.9 %) |
| 35−49 years | 93 (44.9 %) |
| 50−69 years | 21 (10.1 %) |
| Consultant | 58 (28 %) |
| Registrar | 99 (47.8 %) |
| SHO | 50 (24.2 %) |
| White | 98 (47.34 %) |
| Asian | 66 (31.88 %) |
| Black | 23 (11.11 %) |
| Mixed | 6 (2.90 %) |
| Other | 10 (4.83 %) |
| Not disclosed | 4 (1.93 %) |
Fig. 1Box plot depicting Clinical Grade and GAD-2 score.
The perceived contribution of causative factors to participants mental health status
| Keeping up to date with frequently changing guidelines, pathways, and protocols | 129 (62.32 %) | 174 (84.06 %) |
| Concern about being able to provide competent medical care if deployed to a new area | 91 (43.95 %) | 132 (63.77 %) |
| Uncertainty around the effects of COVID-19 on pregnancy and its management | 79 (38.16 %) | 131 (63.29 %) |
| Concerns about contracting COVID-19 from the workplace | 82 (39.61 %) | 130 (62.80 %) |
| Access to appropriate personal protective equipment | 74 (35.75 %) | 125 (60.39 %) |
| A rapidly evolving practice environment that differs greatly from what you are familiar with | 69 (33.33 %) | 125 (60.39 %) |
| Increased workload | 69 (33.33 %) | 108 (52.17 %) |
Data reported as number of respondents (% of respondents) and ordered in terms of perceived contribution to mental health status.
Proportion of respondents with scores suggestive of Major Depressive Disorder (MDD) and Generalised Anxiety Disorder (GAD).
| ≤2 (unlikely GAD) | 156 (75.36 %) |
| ≥3 (likely GAD) | 51 (24.64 %) |
| ≤2 (unlikely MDD) | 174 (84.06 %) |
| PHQ-2 score ≤2 (unlikely MDD) | 33 (15.94 %) |
*GAD = Generalised Anxiety Disorder, MDD = Major Depressive Disorder.
Sub-group analyses for Generalised Anxiety Disorder (GAD).
| P = 0.047 | |||
| Male | 35 (87.50 %) | 5 (12.50 %) | |
| Female | 121 (72.46 %) | 46 (27.54 %) | |
| P=0.894 | |||
| 20−34 years | 71 (76.34 %) | 22 (23.66 %) | |
| 35−49 years | 70 (75.27 %) | 23 (24.73 %) | |
| 50−69 years | 15 (71.43 %) | 6 (28.57 %) | |
| P = 0.184 | |||
| Consultant | 69 (69.70 %) | 30 (30.30 %) | |
| Registrar | 41 (82.0 %) | 9 (18.0 %) | |
| Senior House Officer | 46 (79.31 %) | 12 (20.69 %) | |
| P = 0.770 | |||
| White | 74 (75.51 %) | 24 (24.49 %) | |
| Asian | 48 (72.73 %) | 18 (27.27 %) | |
| Black | 19 (82.61 %) | 4 (17.39 %) | |
| Mixed | 4 (66.67 %) | 2 (33.33 %) | |
| P = 0.155 | |||
| Yes | 31 (67.39 %) | 15 (32.61 %) | |
| No | 125 (77.64 %) | 36 (22.36 %) |
Data reported as number of respondents (% of respondents).
Sub-group analysis for Major Depressive Disorder (MDD).
| P = 0.104 | |||
| Male | 37 (92.50 %) | 3 (7.50 %) | |
| Female | 137 (82.04 %) | 30 (17.96 %) | |
| P = 0.474 | |||
| 20−34 years | 75 (80.65 %) | 18 (19.35 %) | |
| 35−49 years | 81 (87.10 %) | 12 (12.90 %) | |
| 50−69 years | 18 (85.71 %) | 3 (14.29 %) | |
| P = 0.344 | |||
| Consultant | 80 (80.81 %) | 19 (19.19 %) | |
| Registrar | 42 (84.0 %) | 8 (16 %) | |
| Senior House Officer | 52 (89.66 %) | 6 (10.34 %) | |
| P = 0.130 | |||
| White | 85 (86.74 %) | 13 (13.27 %) | |
| Asian | 50 (75.76 %) | 16 (24.24 %) | |
| Black | 21 (91.30 %) | 2 (9.52 %) | |
| Mixed | 4 (66.67 %) | 2 (33.33 %) | |
| P = 0.97 | |||
| Yes | 102 (63.35 %) | 59 (36.65 %) | |
| No | 29 (63.04 %) | 17 (36.96 %) |
Data reported as number of respondents (% of respondents).