| Literature DB >> 34290891 |
Indrajit Banerjee1, Jared Robinson1, Poornasha Mohabeer1, Abhishek Kashyap1, Ananya Shukla1, Brijesh Sathian2.
Abstract
BACKGROUND: The objectives of the study were to identify the psychological impacts of lockdown on medical students due to COVID-19 and to discover the educational perplexities being faced by these students during the lockdown.Entities:
Keywords: Disease Outbreaks; Education; Indian Ocean Islands; Pandemics; Psychology; SARS-CoV-2
Year: 2021 PMID: 34290891 PMCID: PMC8266400 DOI: 10.3126/nje.v11i2.36951
Source DB: PubMed Journal: Nepal J Epidemiol
Demographic details
| Variables | n, % (95 % CI) | |
|---|---|---|
| Male | 277, 41.8 (38-45.6) | |
| Female | 386, 58.2 (54.4-62) | |
| Indian | 455, 68.6(64.9-72.2) | |
| Mauritian | 133, 20.1 (17.1-23.3) | |
| Others | 7, 1.1(0.4-2.2) | |
| South African | 68, 10.3 (8.1-12.8) | |
| Atheist | 13, 2(1.1-3.3) | |
| Buddhism | 1, 0.2(0-0.8) | |
| Christianity | 36, 5.4(3.8-7.4) | |
| Hinduism | 495, 74.7 (71.2-77.9) | |
| Islam | 80,12.1(9.7-14.5) | |
| Jainism | 7, 1.1(0.4-2.1) | |
| Others | 5, 0.8(0.3-1.8) | |
| Sikhism | 26, 3.9(2.6-5.7) | |
| 1st Professional | 246, 37.1(33.4-40.9) | |
| 2nd Professional | 208, 31.4(27.9-35.1) | |
| 3rd Prof : Final Part I | 107, 16.1(13.4-19.2) | |
| 4th Prof : Final Part II | 102, 15.1 (12.7-18.4) | |
| Preclinical | 454, 68.5 (64.8-72 ) | |
| Clinical | 209, 31.5 (28-35.2 ) | |
| Away from the hometown | 315, 47.5(43.7-51.4) | |
| Hometown | 348, 52.5(48.6-56.4) | |
| Good connectivity | 447, 67.4 (63.7-77) | |
| Poor connectivity | 216, 32.6(29-36.3) | |
| 1-2 hours | 47, 7.1(5.3-9.3) | |
| 2-4 hours | 210, 31.7(282-35.4) | |
| 4-6 hours | 221, 33.3(29.8-37.1) | |
| 6-8 hours | 185, 27.9(24.5-31.5) | |
| Yes | 464, 70(66.3-73.5) | |
| No | 199, 30(26.6-33.7) | |
| Yes | 634, 95.6(93.8-97.1) | |
| No | 29, 4.4(3-6.2) | |
Association between psychological impact on medical students due to lockdown and demographic details
| Psychological Impact | P value | |||
|---|---|---|---|---|
| Yes | No | |||
| Male | 191(69) | 86(31) | 0.688x | |
| Female | 273(70.7) | 113 (29.3) | ||
| Indian | 323(71) | 132(29) | ||
| Mauritian | 87(65.4) | 46(34.6) | 0.498 | |
| Others | 6(85.7) | 1(14.3) | ||
| South African | 48(70.6) | 20(29.4) | ||
| Atheist | 9 (69.2) | 4(30.8) | ||
| Buddhism | 1(100) | 0(0) | ||
| Christianity | 27(75) | 9(25) | 0.768x | |
| Hinduism | 341(68.9) | 154(31.3) | ||
| Islam | 55(68.8) | 25(31.3) | ||
| Jainism | 5(71.4) | 2(28.6) | ||
| Others | 4(80) | 1(20) | ||
| Sikhism | 22(84.6) | 4(15.4) | ||
| 1st Professional | 169(68.7 ) | 77(31.3 ) | ||
| 2nd Professional | 145 (69.7) | 63 (30.3 ) | 0.847x | |
| 3rd Prof : Final Part I | 75(70.1) | 32(29.9) | ||
| 4th Prof : Final Part II | 75(73.5) | 27(26.5) | ||
| Preclinical | 314(69.2) | 140(30.8) | 0.524X | |
| Clinical | 150(71.8) | 59(28.2) | ||
| Away from the hometown | 229(72.7) | 86(27.3) | 0.150x | |
| Hometown | 235(67.5 ) | 113(32.5 ) | ||
| Good connectivity | 296(66.2 ) | 151(33.8 ) | 0.002 | |
| Poor connectivity | 168(77.8 ) | 48(22.2 ) | ||
| 1-2 hours | 27(57.4 ) | 20(42.6 ) | ||
| 2-4 hours | 137(65.2 ) | 73 (34.8 ) | 0.01 | |
| 4-6 hours | 156(70.6 ) | 65(29.4 ) | ||
| 6-8 hours | 144(77.8 ) | 41 (22.2 ) | ||
P<0.05**- statistically significant
P>0.05
Association between educational impact on medical students due to lockdown and demographic details
| Educational Impact | P value | |||
|---|---|---|---|---|
| Yes | No | |||
| Male | 262(94.6) | 15(5.4) | 0.336x | |
| Female | 372(96.4) | 14 (3.6) | ||
| Indian | 443 (97.4) | 12(2.6) | ||
| Mauritian | 123(92.5) | 10(7.5) | 0.006 | |
| Others | 7(100) | 0(0) | ||
| South African | 61(89.7) | 7(10.3) | ||
| Atheist | 11 (84.6) | 2(15.4) | ||
| Buddhism | 1(100) | 0(0) | ||
| Christianity | 33(91.7) | 3(8.3) | 0.001 | |
| Hinduism | 479(96.8) | 16(3.2) | ||
| Islam | 74(92.5) | 6(7.5) | ||
| Jainism | 7(100) | 0(0) | ||
| Others | 3(60) | 2(40) | ||
| Sikhism | 26(100) | 0(0) | ||
| 1st Professional | 236(95.9) | 10(4.1 ) | ||
| 2nd Professional | 197(94.7) | 11(5.3) | 0.891x | |
| 3rd Prof : Final Part I | 103(96.3) | 4(3.7) | ||
| 4th Prof : Final Part II | 98(96.1) | 4(3.9) | ||
| Preclinical | 433(95.4) | 21(4.6) | 0.690x | |
| Clinical | 201(96.2) | 8(3.8) | ||
| Away from the hometown | 307(97.5) | 8(2.5) | 0.028 | |
| Hometown | 327(94) | 21(6) | ||
| Good connectivity | 429(96) | 18(4) | 0.002 | |
| Poor connectivity | 205(94.9) | 11(5.1) | ||
| 1-2 hours | 42(89.4 ) | 5(10.6) | ||
| 2-4 hours | 197(93.8 ) | 13 (6.2 ) | 0.021 | |
| 4-6 hours | 217(98.2 ) | 4(1.8 ) | ||
| 6-8 hours | 178(96.2 ) | 7 (3.8 ) | ||
P<0.05**- statistically significant
P>0.05
Logistic Regression analysis of Educational and Psychological impact due to Lockdown
| Psychological Impact | Educational Impact | ||
|---|---|---|---|
| Female | 1 | 1 | |
| Male | 1.088(0.777-1.522)x | 1.521(0.722-3.205) | |
| Indian | 1 | 1 | |
| Mauritian | 1.020(0.523-1.784) | 4.236(1.606-11.173) | |
| Others | 0.788(0.419-1.483)x | 1.411(.512-3.889) | |
| South African | 2.5(0.283-22.123) | - | |
| Atheist | 1 | 1 | |
| Buddhism | 0.409 (0.84-2.002) | - | |
| Christianity | - | 1 | |
| Hinduism | 0.545(0.148-2.012)x | - | |
| Islam | 0.403(0.136-1.188) | - | |
| Jainism | 0.400(0.125-1.283)x | - | |
| Others | 0.455(0.064-3.212)x | 1 | |
| Sikhism | 0.725(0.64-8.315)x | - | |
| 1st Professional | 1 | 1 | |
| 2nd Professional | 0.790(0.472-1.324)x | 0.963(.295-3.145) | |
| 3rd Prof : Final Part I | 0.829(0.488-1.408)x | 0.731(.227-2.355) | |
| 4th Prof : Final Part II | 0.844(0.461-1.544) | 1.051 (0.256-4.319) | |
| Preclinical | 1.134(0.790-1.623) | 1 | |
| Clinical | 1 | 1.219 (0.531-2.798) | |
| Away from the hometown | 1 | 1 | |
| Hometown | 1.280(0.917-1.789) | 2.464(1.076-5.647) | |
| Good connectivity | 1.785(1.226-2.600) | 1 | |
| Poor connectivity | 1 | 1.279(0.593-2.757) | |
| 1-2 hours | 1 | 1 | |
| 2-4 hours | 1.390(0.730-2.648) | 0.33(.1-1.092) | |
| 4-6 hours | 1.778(0.931-3.394) | 0.596(.233-1.527) | |
| 6-8 hours | 2.602(1.326-5.106) | 2.133(0.615-7.405) | |
P<0.05**- statistically significant
P>0.05
Figure 1.Impact COVID 19 Lockdown on Education
Figure 2.Psychological impact of COVID-19 lockdown
Figure 3.After COVID-19
Annex-1
| Psy1. I have felt guilt due to my level of productivity throughout this lockdown period |
| Psy2. I have experienced feelings of depression owing to my inability to adapt to this sudden change in my life |
| Psy3. I am satisfied with my ability to manage my time and use it productively to explore some new skills and talents. |
| Psy4. Lockdown provides me the opportunity to revise difficult modules and focus on my areas of weakness |
| Psy5. This lockdown period has been a positive experience |
| Psy6. I am keeping a normal routine sleeping pattern during this lockdown period. |
| Psy7. The pandemic has made me more apprehensive with regards to clinical practice** |
| Psy8. Violence against doctors during this pandemic has made me concerned about my own as well as my family’s safety in the future. ** |
| Psy9 This pandemic has made me proud to have chosen the medical field as a career |
| Psy10. I am concerned at having to put my life in danger, in case of another pandemic in future** |
| Psy11. This pandemic has motivated me to study more diligently so as to be an asset to the medical community |
| ** Psy 7, 8, 10 were removed - Reliability analysis: Cronbach’s alpha= 0.721 |
| Edu1. I have been unable to study given the amount of stress and panic due to COVID19** |
| Edu2. This pandemic has ignited my interest in newer fields of medical science, especially those which deal with protection and prevention against these forms of viral disease** |
| Edu3. I do not feel any change in my attitude towards my studies. |
| Edu4. The online classes are as efficient compared to traditional classroom method of learning and teaching |
| Edu5. The current online application that is being used to conduct online classes is sufficient. |
| Edu6. Students are able to adapt to this new method of teaching |
| Edu7. I am distracted by other online paraphernalia (games, movies, social media), while classes are being conducted |
| Edu8 No exposure to real patients in a real hospital may weaken students’ clinical skills. (Negative) |
| Edu9. Less exposure to real patients in a real hospital might hinder the future interaction of medical students with their patients. (Negative) |
| ** Edu 1, 2 were removed - Reliability analysis: Cronbach’s alpha= 0.685 |
| Q.1. I will make use of safety equipment like masks and gloves after the pandemic |
| Q.2. I will maintain a greater distance from my patients in the early post pandemic period |
| Q.3. I believe people might ostracize doctors after treating COVID19 patients next due to the fear of being infected |