| Literature DB >> 34306817 |
Soham Bandyopadhyay1, Ioannis Georgiou2, Emily Bligh3, Conor Coyle4, Rohan Pancharatnam5, Kate E A Saunders6.
Abstract
INTRODUCTION: There is paucity of data around the support that medical students have been provided with, need to be provided with, and would like to be provided with during the COVID-19 pandemic. This study sought to explore the effects of the COVID-19 pandemic on medical students and establish the support they require.Entities:
Keywords: COVID-19; Coronavirus; Medical education; Medical students; Mental health; Prospective study
Year: 2021 PMID: 34306817 PMCID: PMC8294310 DOI: 10.1007/s40670-021-01349-0
Source DB: PubMed Journal: Med Sci Educ ISSN: 2156-8650
Demographics of participants as of May 2020
| Demographics | Number |
|---|---|
| Stage of training | Medical Students: Year 1 (excluding intercalated year): 80 Year 2 (excluding intercalated year): 117 Year 3 (excluding intercalated year): 122 Year 4 (excluding intercalated year): 159 Year 5 (excluding intercalated year): 114 Prefer not to answer: 1 FiY1 doctors: 47 |
| Age | Median Age: 22 (range: 18 – 37) |
| Gender | Male: 130 Female: 500 Non-binary: 4 Prefer not to answer: 6 |
| Ethnicity | White: 468 • British: 407 • Irish: 10 • Other White: 51 Mixed/multiple ethnic groups: 28 • White and Black Caribbean: 3 • White and Asian: 11 • White and Black African: 1 • Other Mixed: 13 Asian/Asian British: 102 • Indian: 50 • Pakistan: 12 • Bangladeshi: 3 • Chinese: 17 • Other Asian: 20 Black/African/Caribbean/Black British: 23 • African: 14 • Caribbean:4 • Other ethnic group: 11 Prefer not to answer: 13 |
Fig. 1Participants’ mean reported mood at three timepoints. Pre-pandemic, 69.6 [95% CI 68.2, 71.0]. May, 52.7 [95% CI 51.0, 54.3]. August, 60.7 [95% CI 59.0, 62.3]
Factors affecting mood in participants
| Factors that had a positive influence | % Study participants who report a positive influence on mood ( | % Study participants who report a positive influence on mood ( |
|---|---|---|
| More time at home/with family | 68 (393) | 69 (400) |
| Reduced responsibilities/more free time | 59 (342) | 54 (314) |
| Participant and family members remained unaffected from COVID-19 | 56 (323) | 60 (346) |
| Time away from work/university | 46 (269) | 56 (323) |
| Cancelled/open book exams | 43 (247) | 38 (218) |
| Opportunities for paid work | 24 (138) | 27 (159) |
| Improvements in physical health | 20 (113) | 22 (126) |
| Online learning | 19 (109) | 24 (137) |
| Improved financial status | 14 (83) | 18 (104) |
| Volunteering opportunities | 13 (73) | 11 (63) |
| Increase in research opportunities | 4 (26) | 5 (27) |
| Relaxation of measures imposed to control the spread of COVID-19 | 51(298) | |
| Reduction in COVID-19 cases in the UK | 43 (250) | |
| Return to face-to-face teaching | 11 (65) | |
| More medical school teaching | 5 (27) | |
| Other factors | 4 (23) | 2 (13) |
| Factors that had a negative influence on mood | % Study participants who report a negative influence on mood ( | % study participants who report a negative influence on mood ( |
| Social distancing | 81 (467) | 67 (388) |
| Reports on social media and news outlets | 73 (424) | 73 (424) |
| Self-isolation | 59 (344) | 52 (303) |
| Holiday cancelled | 53 (307) | 46 (265) |
| Social exclusion | 41 (235) | 33 (191) |
| Financial worries | 29 (165) | 31 (177) |
| Career uncertainty | 27 (155) | 17 (99) |
| Relatives or friends getting infected | 20 (117) | 13 (75) |
| Elective cancelled | 18 (105) | 18 (105) |
| Deterioration of physical health | 13 (76) | 12 (68) |
| Reduction in research opportunities | 12 (70) | 12 (72) |
| Strain of wearing protective equipment | 9 (51) | 17 (97) |
| High demands in the work setting | 9 (50) | 12 (72) |
| Recent bereavement of someone you know from COVID-19 | 7 (40) | 7 (39) |
| Stigmatisation | 7 (40) | 7 (38) |
| Getting infected | 5 (31) | 6 (32) |
| Uncertainty related to medical education | 67 (388) | |
| Changes to medical education | 66 (384) | |
| Uncertainty related to examinations | 60 (345) | |
| Other factors | 17 (99) | 8 (46) |
Fig. 2Mean scores (with 95% confidence intervals) for Likert items that make up the disease-anxiety segment of the PAS. Pre refers to scores in May. Post refers to scores in August. PAS 1: I am worried that I will catch COVID-19. PAS 2: I am worried that friends and family will catch COVID-19. PAS 3: I am afraid to leave the house right now. PAS 4: I am worried I might transmit the infection to someone else
Breakdown of data for Likert items
| Likert item | % Study total who disagree ( | % Study total who agree ( | Mean score out of 5 [95% CI] | |||
|---|---|---|---|---|---|---|
| May | August | May | August | May | August | |
| I am worried that I will catch COVID-19* | 34 (207) | 38 (236) | 51 (316) | 36 (221) | 3.2 [3.1, 3.3] | 2.9 [2.9, 3.0] |
| I am worried that friends and family will catch COVID-19* | 5 (28) | 9 (58) | 91 (563) | 78 (484) | 4.2 [4.1, 4.2] | 3.9 [3.9, 4.0] |
| I am afraid to leave the house right now* | 63 (391) | 85 (522) | 29 (178) | 7 (41) | 2.5 [2.4, 2.6] | 1.8 [1.7, 1.8] |
| I am worried I might transmit the infection to someone else* | 9 (56) | 15 (91) | 85 (527) | 71 (438) | 4.0 [3.9, 4.0] | 3.7 [3.6, 3.8] |
| I am worried about the amount of money we have coming in** | 55 (340) | 55 (338) | 36 (222) | 28 (175) | 2.7 [2.6, 2.8] | 2.6 [2.5, 2.7] |
| I am worried about the long-term impact this will have on my job prospects and the economy** | 22 (133) | 26 (161) | 69 (426) | 56 (346) | 3.6 [3.5, 3.7] | 3.4 [3.3, 3.5] |
*Likert items that make up the disease-anxiety segment of the PAS
**Likert items that make up the consequence-anxiety segment of the PAS
Fig. 3Mean scores (with 95% confidence intervals) for Likert items that make up the consequence-anxiety segment of the PAS. Pre refers to scores in May. Post refers to scores in August. PAS 5: I am worried about the amount of money we have coming in. Pas 6: I am worried about the long-term impact this will have on my job prospects and the economy
Support sought by medical students by year in May and August. These values do not total 100% as some participants sought multiple forms of support and other participants sought no support
| Stage of training | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| % of study total who sought support in May | % of study total who sought support in August | |||||||||
| Year 1 ( | Year 2 ( | Year 3 ( | Year 4 ( | Year 5 ( | Year 1 ( | Year 2 ( | Year 3 ( | Year 4 ( | Year 5 ( | |
| Online material/videos for self-support | 12 (9) | 15 (16) | 16 (18) | 15 (22) | 14 (15) | 4 (3) | 6 (7) | 10 (11) | 12 (18) | 6 (6) |
| Online face-to-face support | 11 (8) | 17 (19) | 15 (17) | 17 (26) | 24 (25) | 3 (2) | 2 (2) | 8 (9) | 5 (7) | 4 (4) |
| Letters, emails, or any other form of written support | 1 (1) | 10 (11) | 9 (10) | 10 (15) | 12 (13) | 1 (1) | 4 (4) | 4 (4) | 9 (13) | 8 (8) |
| Financial guidance | 9 (7) | 16 (18) | 14 (16) | 21 (31) | 21 (22) | 3 (2) | 5 (6) | 3 (3) | 5 (8) | 4 (4) |
| Information on COVID-19 symptoms | 4 (3) | 3 (3) | 0 (0) | 1 (2) | 5 (5) | 1 (1) | 1 (1) | 3 (3) | 3 (5) | 1 (1) |
| Information on COVID-19 management | 4 (3) | 6 (7) | 3 (3) | 3 (4) | 7 (7) | 1 (1) | 2 (2) | 2 (2) | 3 (4) | 2 (2) |
| Support on exercise and diet | 17 (13) | 13 (14) | 11 (12) | 10 (15) | 8 (8) | 1 (1) | 2 (2) | 5 (6) | 3 (4) | 4 (4) |
| Support on exam preparation | 23 (17) | 30 (33) | 31 (35) | 33 (49) | 32 (34) | 7 (5) | 12 (13) | 9 (10) | 9 (13) | 8 (8) |
| Support on course material | 24 (18) | 30 (33) | 30 (34) | 34 (51) | 25 (26) | 7 (5) | 9 (10) | 10 (11) | 13 (20) | 10 (11) |
| Support with accommodation | - | - | - | - | - | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
| Support with job applications/placements | - | - | - | - | - | 1 (1) | 4 (4) | 3 (3) | 3 (5) | 7 (7) |
| Other | 4 (3) | 15 (16) | 12 (14) | 15 (23) | 18 (19) | 3 (2) | 7 (8) | 7 (8) | 12 (18) | 10 (11) |
Fig. 4Percentage of participants who received sufficient information on personal protective equipment by stage of training. FiY1 interim foundation year 1
Fig. 5Percentage of participants who received sufficient training on infection prevention and control by stage of training. FiY1 interim foundation year 1
Areas of life affected by COVID-19. These values do not total 100% as some participants did not report a positive or negative impact to that area of their life due to COVID-19
| Areas of life | % Study total who report a positive impact | % Study total who report a negative impact | ||
|---|---|---|---|---|
| May ( | August ( | May ( | August ( | |
| Studies | 19 (111) | 15 (90) | 80 (467) | 74 (428) |
| Social life | 6 (36) | 7 (40) | 95 (552) | 90 (523) |
| Vacations and travelling | 0.3 (2) | 2 (11) | 86 (499) | 87 (504) |
| Physical wellbeing | 33 (193) | 31 (182) | 39 (226) | 42 (243) |
| Future prospects | 5 (28) | 4 (26) | 28 (164) | 22 (128) |
| Research Involvement | 7 (40) | 8 (49) | 21 (124) | 23 (133) |
| Relationships with family and friends | 53 (307) | 39 (225) | ||
| Finances | 24 (139) | 26 (149) | 29 (170) | 26 (152) |
Areas of education and career progression that participants think the COVID-19 pandemic has or will affect
| Areas of education and career progression | % Study total who think the COVID-19 pandemic will affect this area | |
|---|---|---|
| May ( | August ( | |
| Clinical knowledge | 85 (491) | 80 (466) |
| Anatomy knowledge | 36 (206) | 39 (224) |
| System based knowledge | 34 (194) | 39 (227) |
| Research opportunities | 38 (226) | 44 (256) |
| EPM scores | 22 (125) | 29 (169) |
| Public health knowledge | 24 (138) | 32 (184) |
| No areas | 5 (29) | 6 (37) |