Self-Medication For Prevention and Treatment of Diseases During Covid-19 Pandemic-A Cross Sectional Survey in General Population
Self-Medication For Prevention and Treatment of Diseases During Covid-19 Pandemic-A Cross Sectional Survey in General Population
Print ISSN: 2656-0097 | Online ISSN: 0975-1491 Vol 16, Issue 6, 2024
                                                                                                                                                  Original Article
   SELF-MEDICATION FOR PREVENTION AND TREATMENT OF DISEASES DURING COVID-19
           PANDEMIC-A CROSS SECTIONAL SURVEY IN GENERAL POPULATION
     SARITA PANIGRAHY1 , DEEPANJANA DASS2 , SUNIL KUMAR PANDEY1 , DAMERA MEHER SHEENA1*
 1Gayatri   Vidya Parishad Institute of Health Care and Medical Technology Visakhapatnam-530048, Andhra Pradesh, India. 2MGM Medical
                                         College, Kamothe, Navi Mumbai, Maharashtra-410209, India
                              *Corresponding author: Damera Meher Sheena; *Email: mehersheena84@gmail.com
The objective of this study was to assess the pattern of self-                The collected data was manually fed directly into SPSS v.20, where
medication among males and females and to identify the reasons                frequency analysis was run. A non-parametric Chi-square test was
for self-medication during the COVID-19 pandemic.                             also run to test the relationships between variables.
MATERIALS AND METHODS                                                         RESULTS
Study design, population and method                                           A sample size of 540 was set for the study. Although by the end of the
                                                                              study, 573 responses were received, only 557 were analyzed, as the
The present study was an exploratory cross-sectional survey. The              remaining had missing data. The mean age of participants was found
questionnaire was designed and validated by a committee of faculty            to be 35 y, with a minimum age of 18 y and a maximum age of 82 y.
in the department of pharmacology and through a peer review                   The mean age for females and males was 32 y and 39 y, respectively.
process. The pre-validated questionnaire, comprising questions                The ratio of females to males was 1.3:1 (321/236), as shown in fig. 1.
related to socio-demographic status and questions related to the
pattern and reasons for self-medication, was sent through mail,               There was a significant difference in the education level of males and
WhatsApp, and other means of social media.                                    females. Except for the above-postgraduate level of education, the
                                                                              percentage of school dropout was higher among females (73% vs.
Inclusion criteria                                                            27%), and the same held true for graduation (64% vs. 36%) and
                                                                              post-graduate level of education (55% vs. 45%), as shown in table 1.
Participants living in India (whether temporarily or permanently)
who were older than 18 and could read and write English were                  Overall, 61% of participants reported a history of self-medication
included in the study.                                                        with allopathic//homeopathic/ayurvedic medicines or any
                                                                              combination of these during the study period or the past 3 mo
Exclusion criteria                                                            (COVID period), as shown in fig. 2. There was a significant difference
Illiterate people and those less than 18 y of age were excluded from          (p = 0.02) in the pattern of self-medication between the males (38%)
this study.                                                                   and females (62%). Self-medication was found to be more common
                                                                              in the 18–30 and 31–43 age groups, as shown in fig. 1.
Sample size
                                                                              Among all the participants who had reported self-medication in the
The sample size was calculated using online software with a                   last three months, the majority of them said that self-medication was
confidence level of 95% and an error of 5%, with a chance of an               for the purpose of preventing COVID-19 (39%), followed by both
unlimited reachable population.                                               prevention and treatment (19%), as shown in fig. 3. Once again,
                                                                              there was a significant difference between males and females, as
The total sample size calculated was 385. By the end of the study, a          shown in table 2.
total of 573 responses had been received.
                                                                              Fear to go out (13%) during COVID-19 was the main single stimulus
Statistical analysis                                                          that surfaced for self-medication, as shown in fig. 2.
                       Table 1: Educational status of males and females (p-value =0.001; p≤ 0.05 is considered significant)
Education               Male (n=236)                                                  Female (n=321)
                        Count       % Within gender        % Within education         Count     % Within gender          % Within education
School dropout          3           1.3                    27.3                       8         2.5                      72.7
Graduation              101         42.8                   36.1                       179       55.8                     63.9
Post graduation         95          40.3                   45.5                       114       35.5                     54.5
Above PG                30          12.7                   65.2                       16        5.0                      34.8
Anyother                7           3.0                    63.6                       4         1.2                      36.4
Table 2: Reasons for self-medication among males and females (p-value =0.05; p≤ 0.05 is considered significant)
                     Table 3: Stimuli for self-medication among males and females (p=0.35 p ≤ 0.05 is considered significant
Male (n=236) Female (n=321)
Stimuli for self-medication                      Coun      % Within      % Within stimuli for       Count     % Within       % Within stimuli
                                                           gender        self-medication                      gender         for self-medication
None                                             6         2.5           35.3                       11        3.4            64.7
Non-accessibility to doctors                     11        4.7           57.9                       8         2.5            42.1
Non-accessibility to hospitals                   2         0.8           16.7                       10        3.1            83.3
Non-acceptability by hospitals                   3         1.3           60                         2         0.6            40
Non-availability of transporters                 1         0.4           20                         4         1.2            80
Fear to go out in Lockdown                       31        13.1          42.5                       42        13.1           57.5
Economic                                         2         0.8           66.7                       1         0.3            33.3
Any other                                        104       44.1          46                         122       38             54
All                                              8         3.4           47.1                       9         2.8            52.9
Multiple options                                 68        28.9                                     110       35
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For females, non-accessibility to hospitals, transportation problems,         Among homeopathic self-medicating participants, arsenic album 30
and non-accessibility of doctors were the main stimuli for self-              was the most frequently used formulation (26%). Whereas, among
medication during the COVID-19 period, whereas for males,                     ayurvedic self-medicating participants, most of them took all three, i.e.,
increased cost, non-acceptability by hospitals, and non-accessibility         chyawanprash, herbal decoction, and golden milk, as shown in fig. 4.
to doctors were the three main stimuli, as shown in table 3.
                                                                              The major source of knowledge for self-medication was from authorized
Most participants who took allopathic, homeopathic, or ayurvedic              websites (28%) https://ayush.gov.in, https://nch.org.in [18, 20], news
medications did not report any adverse effects.                               channels, and social media (10.4%), as shown in table 4.
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