Impact of sudden change to online teaching during COVID-19 pandemic on mental health of medical students using the DASS-21 scale
Abstract
Background: The COVID-19 pandemic has influenced almost every aspect of life, education being no exception. The sudden shift of teaching and learning using virtual methods was not an easy task. While medicine needs not just knowledge but also skills there were many questions regarding the efficacy of online classes.
Aims: To study the impact of the sudden change of teaching method on the mental health of medical students using the DASS 21 questionnaires.
Methods and Material: It was a cross-sectional study. This study was done among the 1st, 2nd and 3rd-year medical students over a period of 5 months. Pre-structured DASS-21 questionnaire was used to assess the mental health of these students. We have excluded all the students who already had a history of anxiety, stress, and depression before the corona virus pandemic.
Results: Out of 122 students, 34 (27.9%) were males and 86 (70.5%) belonged to the age group 18-21 years. Depression, Anxiety and stress were more among the 1st MBBS students.
Conclusions: Sudden changes in the mode of teaching are not easily accepted by the students. The transition should be well-planned.
Keywords
Online teaching, COVID-19, DASS-21, Depression, Anxiety, Stress
Introduction
The World Health Organization (WHO) announced COVID-19 outbreak as a public health emergency of international concern (PHEIC) on January 30, 2020, and later declared a pandemic on March 11, 2020. 1 In India, the first COVID-19 case was reported in Kerala on January 30, 2020. The Government of India declared a nationwide lockdown on 25th March 2020, as a measure to mitigate the spread of infection. The second wave of COVID-19 infection in the month of Feb–March 2021 has again created a lot of uncertainty among the students about the lockdown, academic classes and exams which in turn affects the mental health of the students.
Many countries introduced restrictions including social distancing, self-isolation, and closure of social and educational institutions. Universities across the world suspended or postponed all activities and substituted the classroom program for online classes. 2 There are a lot of challenges faced by medical schools due to the COVID-19 pandemic: switching to online classes, travel restrictions, social restrictions, and financial constraints leading to impairment in mental health. 2
Sudden isolation and social distancing can significantly affect the mental health of the students as they are deprived of their extracurricular activities which make them less connected with their friends and family members. Among medical students, high anxiety levels were found during the previous MERS-CoV and SARS-CoV-1 outbreaks. 3, 4 Depression and anxiety are both common mental disorders with a prevalence of 10–44% in developing countries, and depression is the fourth leading cause of morbidity .It has been reported that 25–75% of medical students are stressed during their medical education. 5 Early detection and intervention may help in preventing and minimizing the effects of distress on the students. The present study was conducted to determine the prevalence of depression, anxiety and stress among medical students during the pandemic.
Methodology
This cross-sectional study was carried out on the 1st, 2nd and 3rd-year medical students in the month of November 2020 to March 2021.The Institutional ethics committee approval was obtained and informed consent was taken from the participants before the study. Those who did not give consent were excluded from the study. Pre-structured DASS-21 questionnaire was used to assess the mental health of these students and was shared through Google form. The students were explained regarding the study and questionnaire through an online portal. In our study, we have excluded all the students who already had a history of anxiety, stress, and depression before the coronavirus pandemic.
The DASS-21 questionnaire categorizes each condition into five subcategories, namely, normal, mild, moderate, severe, and extremely severe. 6 Each question was scored from 0 to 3. All three scores would be interpreted as follows.Table 1
Category |
Depression |
Anxiety |
Stress |
Normal |
0-4 |
0-3 |
0-7 |
Mild |
5-6 |
4-5 |
8-9 |
Moderate |
7-10 |
6-7 |
10-12 |
Severe |
11-13 |
8-9 |
13-16 |
Very severe |
14+ |
10+ |
17+ |
If a student scored >14 for depression, >10 for anxiety and > 19 for stress, they were referred for online counseling. The data was analyzed using SPSSv20.0 software and appropriate statistical tests were used wherever applicable.
Results
Out of 122 students, 34 (27.9%) were males and 88 (72.1%) were females and most of them belonged to the age group 18-21 years (70.5%). On using the BG Prasad scale 63.9% belonged to the upper class and only 36.1% belonged to the upper middle and middle class. Of the total 122 students 64 (52.5%) students were 1st year students followed by 28 (23%) from 2nd year and 30 (24.6%) were from 3rd year.Table 2
Socio-demographic Variables |
No. |
Percent |
|
Gender |
Male |
34 |
27.9 |
Female |
88 |
72.1 |
|
Age (years) |
18-21 |
86 |
70.5 |
22-25 |
36 |
29.5 |
|
Education |
1 st year |
64 |
52.5 |
2 nd year |
28 |
23.0 |
|
3 rd year |
30 |
24.6 |
|
Socioeconomic Status |
Upper |
78 |
63.9 |
Upper middle |
34 |
27.9 |
|
Middle |
10 |
08.2 |
The highest frequency of depression was recorded in the 1st MBBS students 59% (n=20). Similarly, anxiety was seen among 54.8% (n=16) and stress in 37.7% (n=12) among the 1st year students. Table 3
DASS Category |
No. |
Percent |
Depression |
||
None |
32 |
26.2 |
Mild |
18 |
14.8 |
Moderate |
26 |
21.3 |
Severe |
20 |
16.4 |
Very Severe |
26 |
21.3 |
Anxiety |
||
None |
38 |
31.1 |
Mild |
16 |
13.1 |
Moderate |
34 |
27.9 |
Severe |
10 |
08.2 |
Very Severe |
24 |
19.7 |
Stress |
||
None |
60 |
49.2 |
Mild |
16 |
13.1 |
Moderate |
18 |
14.8 |
Severe |
12 |
09.8 |
Very Severe |
16 |
13.1 |
The association of depression with the year of study was statistically significant (Chi-square=19.814, p=0.011) while anxiety and stress were not significant.Table 4 34 students from the age group of 18 to 21 years were stressed out while only 12 among the 22 to 25 years were stressed. This difference in distribution was significant (Chi square=16.235, p= 0.003). The anxiety score among the study group was not significant with any of the socio-demographic variables.Table 5 and Table 6
Variables |
Depression score |
Chi-square (P value) |
||||
Normal |
Mild |
Moderate |
Severe |
Very severe |
||
Age (years) |
||||||
18-21 |
20 |
14 |
18 |
12 |
22 |
5.014 (0.286) |
22-25 |
12 |
04 |
08 |
08 |
04 |
|
Gender |
||||||
Male |
10 |
02 |
10 |
04 |
08 |
4.873 (0.301) |
Female |
22 |
16 |
16 |
16 |
18 |
|
MBBS YEAR |
||||||
1 st MBBS |
12 |
10 |
12 |
10 |
20 |
19.814 (0.011) |
2 nd MBBS |
12 |
06 |
08 |
02 |
- |
|
3 rd MBBS |
08 |
02 |
06 |
08 |
06 |
|
Socio-Economic Status |
||||||
Upper class |
20 |
12 |
22 |
10 |
14 |
13.350 (0.1) |
Upper middle |
08 |
06 |
04 |
06 |
10 |
|
Middle class |
04 |
0 |
0 |
04 |
02 |
Variables |
Anxiety Score |
Chi-square (P value) |
||||
Normal |
Mild |
Moderate |
Severe |
Very severe |
||
Age (years) |
||||||
18-21 |
30 |
10 |
22 |
4 |
20 |
8.717 (0.286) |
22-25 |
8 |
6 |
12 |
6 |
4 |
|
Gender |
||||||
Male |
14 |
6 |
6 |
4 |
4 |
6.258 (0.181) |
Female |
24 |
10 |
28 |
6 |
20 |
|
MBBS YEAR |
||||||
1 st MBBS |
16 |
10 |
18 |
4 |
16 |
10.782 (0.214) |
2 nd MBBS |
14 |
2 |
6 |
4 |
2 |
|
3 rd MBBS |
8 |
4 |
10 |
2 |
6 |
|
Socio-Economic Status |
||||||
Upper class |
24 |
10 |
26 |
06 |
14 |
10.406 (0.238) |
Upper middle |
10 |
06 |
04 |
04 |
10 |
|
Middle class |
04 |
- |
04 |
- |
02 |
Variable |
Stress Score |
Chi-square (P value) |
||||
|
Normal |
Mild |
Moderate |
Severe |
Very severe |
|
Age (years) |
|
|
|
|
|
|
18-21 |
40 |
12 |
18 |
04 |
12 |
16.235 (0.003) |
22-25 |
20 |
04 |
- |
08 |
04 |
|
Gender |
||||||
Male |
20 |
06 |
04 |
- |
04 |
6.617 (0.158) |
Female |
40 |
10 |
14 |
12 |
12 |
|
MBBS YEAR |
||||||
1 st MBBS |
28 |
08 |
12 |
04 |
12 |
12.609 (0.126) |
2 nd MBBS |
18 |
02 |
04 |
04 |
- |
|
3 rd MBBS |
14 |
06 |
02 |
04 |
04 |
|
Socio-Economic Status |
||||||
Upper class |
38 |
12 |
14 |
08 |
06 |
10.526 (0.230) |
Upper middle |
16 |
04 |
02 |
04 |
08 |
|
Middle class |
06 |
- |
02 |
- |
02 |
Discussion
In the present study 21.3%, 19.7% and 13.1% were very severely depressed, anxious and stressed respectively. This is almost similar to a study done by Iqbal et al 7 . 17.5% of students had severe or extremely severe depression, 33.4% had anxiety and 13.1 % had stress. While in the Patil et al. study, 9% of students were depressed, 18% were anxious and 5% were stressed where depression and stress are very less . 8 Even in Moutinho et al study depression was less, that is 8.8% had depression, 12.2% had anxiety and 17.4% had stress. 9 while Sumaya Basudan et al. observed abnormally higher levels of depression, anxiety and stress – 55.9%, 66.8% and 54.7% among the respondents. 10 Mehta P et al study observed that 10% were depressed, 23% were anxious and 5% were stressed. 11 In their study, higher scores of depression, anxiety and stress were associated with female gender, lower semester and younger age which is similar to our study findings too. In the study done in a medical college at Jamnagar prevalence of anxiety, stress, and depression among males is 7.60%, 5.20%, and 6.40%, respectively, and in females 9.60%, 5.60%, and 9.20%, respectively similar to our study where prevalence in females is more than in males . 12 This is consistence with many other studies where women are more prone to depression and anxiety in uncalled situations . 13, 14 Similarly, in a study done on students in China, the proportion of male students with depressive and anxiety symptoms was lower than that of female students (41.7 versus 45.5%; 36.2% versus 38.4%). With an increase in the grade, the proportion of students with depressive and anxiety symptoms increased . 15
In our study the 1st year students were more depressed, anxious and stressed than their seniors. The reasons for the depression, anxiety and stress were mainly the switch from physical classes to the online portal. The using of these applications was new to most of them and thus caused anxiety among them. The difficulty to gain access to internet services and buying expensive laptops was also an important concern among the students in lower socio-economic groups. The uncertainty regarding the exams was another very important reason that was recorded as a cause of depression, anxiety and stress, especially among exam-going students.
The pandemic has forced a change in the mode of learning and teaching but this online teaching was part of the curriculum for a long time. But it was never felt this necessary earlier.
Conclusion
There is a need to continue using online modes of teaching as well in future to keep the students updated with the alternatives and thus prevent mental stress anxiety and depression among them. Also, such sudden changes are to be managed by effective counseling to the students by the experts before switching to newer or unconventional methods.