Evaluation of Covid-19 Booster Vaccination Results Among Health
Workers at a SM Private Hospital in North Jakarta
Stefanus Lukas
1,2
, Putri Ananda
2
, Diana Laila Ramatillah
2
, Yufri Aldi
1
and Fatma Sri Wahyuni
1
1
Faculty of Pharmacy, Andalas University, Padang, West Sumatra, Indonesia
2
Faculty of Pharmacy, Universitas 17 Agustus 1945 Jakarta, Indonesia
Keywords: Covid-19, Vaccination Booster, Health Workers.
Abstract: The provision of Covid-19 booster vaccines for health workers has begun to be discussed a lot as the pandemic
continues. This study aims to determine the side effects and impact of menstruation, health workers exposed
to Covid-19 after booster vaccines. This study used a cross-sectional research method through sampling
convenience sampling. This questionnaire was distributed at a SM private hospital by getting respondents as
many as (n=109) health workers. The questionnaire data used in this study were the validity and reliability
tests with the value of Cronbach alpha 0.960. The results of this study revealed that there were (69.7%) of
women, (62.4%) in the age group (25-45 years), nursing profession (45.9%), non-nurses profesion (54.1%).
Sinovac vaccine (41.3%), and Moderna vaccine (58.7%). Moreover, health workers who experienced side
effects of booster vaccines were muscle pain (47.7%), fever (57.8%), allergic reactions (49.5%), joint pain
(49.5%), reddish swelling pain at the injection site (52.3%), drowsiness (46.8%), and headache (43.1%). Then,
health workers were exposed to covid-19 as much (22.94%). Health workers who experienced the impact of
menstruation were (46.8%). There are correlations between the vaccine and AEFI, and also the impact of
menstruation and health workers exposed to covid-19 after the booster vaccine.
1 INTRODUCTION
The Covid-19 pandemic that has occurred since 2020
is a catastrophic outbreak experienced by the entire
world, including Indonesia. Covid-19 (coronavirus
disease 2019) is a respiratory tract infection caused by
the severe acute respiratory syndrome of coronavirus
2 (SARS-CoV-2), or the corona virus. (Cascella M et
al., 2021) Covid-19 spreads quickly because the
transmission of the covid-19 pandemic outbreak
occurs between people and people or people with
certain media where the virus that causes covid-19 is
attached (Handayani, et al. 2020).
Globally, the Covid-19 case was first discovered
in December 2019 in Wuhan, China. The coronavirus
spread to all parts of China within a few weeks, and
within months to other countries. As of February 10,
2022, Covid-19 has been found in 225 countries, with
around 405,000,000 confirmed cases. (Ministry of
Health of the Republic of Indonesia, 2022.)
The Sars-Cov-2 virus that causes Covid-19 is
known as the omicron variant. The omicron variant
was first discovered on 24 November 2021 in South
Africa. This variant must be watched out for, and
research results proved that there was an increased
risk of recurrent infections that occur as a result of
this variant (KOMINFO, 2021)
Preventive actions of Covid-19 are to maintain
social distance (social distancing), minimize the
possibility of being exposed to the virus (CDC, 2021),
and
implement the discipline of health protocols that
must carry out by vaccinations. Vaccination aims to
provide special immunity and reduce morbidity due
to viral infections (Mukhi S, 2021). Vaccines are used
to expose recipients to non-infectious substances or
pathogens that can cause disease. Vaccines can
stimulate the recipient's immune system to prevent or
reduce the chances of infection in exposed pathogens
(Jain S, Venkataraman A, Wechsler ME, 2021).
There are several vaccines, one of which is an
attenuated vaccine. This vaccine uses pathogenic
strains that have been weakened to become non-
infectious in non-human tissues. These strains are
then injected into the recipient and will be recognized
by the immune system. (little PD, 2015). Inactivated
vaccines act similarly to live attenuated vaccines. Still
they can produce vaccines that weaken the immune
system more than live attenuated vaccines, in which
Lukas, S., Ananda, P., Ramatillah, D., Aldi, Y. and Wahyuni, F.
Evaluation of Covid-19 Booster Vaccination Results Among Health Workers at a SM Private Hospital in North Jakarta.
DOI: 10.5220/0012024500003582
In Proceedings of the 3rd International Seminar and Call for Paper (ISCP) UTA â
˘
A
´
Z45 Jakarta (ISCP UTA’45 Jakarta 2022), pages 341-345
ISBN: 978-989-758-654-5; ISSN: 2828-853X
Copyright
c
2023 by SCITEPRESS Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
341
recipients may lose their immune memory over time.
(Petrovsky N, 2004)(RW, 2018).
The provision of a booster or additional Covid-19
vaccine for health workers has begun to be widely
discussed as the pandemic continues. With fears of a
sharp increase in the number of Covid-19 patients and
research findings of a decline in vaccine-induced
immune responses over time, a number of countries
are starting to consider administering additional doses
of the Covid-19 vaccine to the people who have been
fully vaccinated.(WHO, 2022)
Health workers are at the forefront of providing
health services even during the COVID-19 pandemic.
In order to maximize efforts to protect the health, the
government together with the ministry of health, is
implementing a booster dose vaccination program to
stimulate immunology so that health workers have
strong immunity to protect themselves from infection
of the Covid-19 variant.(Indonesia KTK, 2021).
2 METHOD
This study was analyzed using a cross-sectional
research method of 109 health workers’ respondents.
Initially, the questionnaire was informed and
distributed to be filled out. (Hanggoro, AY Suwarni,
L., 2020). This study used a standardized
questionnaire to collect data from hospital
respondents. The questionnaire involved personal
data (age, gender, and profession) and vaccine data
(type of vaccine, side effects) given through the
Google form. The instruments used in this study were
the validity and reliability tests with a Cornbach alpha
value of 0.960.
2.1 Ethical Approval
This research has been reviewed and approved by the
ethics committee of the University of 17 August 1945
Jakarta (No.46/KEPK-
UTA45JKT/EC/EXP/07/2022).
2.2 Statistic Analysis
Before collecting data, the researcher first asked for
ethical approval from the ethics committee of the
University of 17 August 1945 Jakarta. The collected
results were analyzed using the Statistical Package for
the Social Sciences (SPSS) version 25 software.
Descriptive statistics were performed for
demographic variables and medical data. Chi-square
test, Mann-Whitney U test, and Kruskal-Wallis test
were used to find associations between risk factors
and adverse events. A p-value of 0.05 was considered
significant.
3 RESULTS AND DISCUSSION
In this study, we conducted 109 participants, in
which: One hundred nine participants (Health
Personnel) have received booster vaccines. Health
workers also received questionnaires via Whatsapp.
Table 1: Demographic characteristics of the study n = 109.
Variables
Frequency Percentage
Gender
Man 33 30.3%
Woman 76 69.7%
Age
Teenagers 18-24 27 24.8%
Adult 25-45 68 62.4%
Seniors 46-65 14 12.8%
Profession
Nurse 50 45.9%
Non-Nurse 59 54.1%
Vaccine Booster
S
inovac 45 41.3%
M
oderna
64
58.7%
Based on Table 1, it can be seen from a total of
109 participants, consisting of 33 men (30.3%) and
76 women (69.7%). This is in line with the study
(vaccination, 2022) of men (47.5%) and women
(52.5%) that women are more numerous than men.
The age of adolescents is 18-24 (24.8%), adults 25-
45 years (62.4%), and the elderly 46-65 years
(12.8%). Nursing profession (45.9%), non-nurses
(54.1%). Vaccine type of sinovac (41.3%), moderna
(58.7%). Based on research (Gena N & Diana R,
2021) 406 participants consisted of 108 men (26.6%),
and 208 women (73.4%) with the most age range is
18-30 y old (87.2%)
Table 2: AEFI after booster dose vaccination.
Variables
Frequency
(n=109)
Percentage
(%)
Muscle ache 52 47.7%
Fever 63 57.8%
Allergic Reaction 54 49.5%
Joint pain 54 49.5%
Pain, swelling, redness at
the in
j
ection site
57 52.3%
ISCP UTA’45 Jakarta 2022 - International Seminar and Call for Paper Universitas 17 Agustus 1945 Jakarta
342
Drowsiness 51 46.8%
Headache/Dizziness 47 43.1%
Menstruation 51 46.8%
Based on Table 2, it can be seen that the common
side effects given the response of this study at booster
doses were muscle pain 47.7%, fever 57.8%, allergic
reactions 49.5%, joint pain 49.5%, swollen painloss
at the injection site 52.3%, drowsiness 46.8%,
headache 43.1%, exposed to covid-19 22.94%, and
menstruation 46.8%.
The study involved 109 health workers who had
been vaccinated booster, participants received a
questionnaire that they experienced due to suffering
side effects of booster vaccine. When compared with
another study conducted in the UK, injection site
symptoms occurred among 58.7% of study
participants (Menni, 2021).In the pain study, the
injection site showed 75.2%, 53.9% fatigue, a
headache of 46.7%, myalgia (muscle pain) at 44%,
and fever at 21.5%. (Wi YM, Kim SH, 2021). In the
studies conducted by (Tiissot N, Brunel A, Bozon F
& Chirouze C, 2021), fatigue (18%), headache (14%),
muscle pain (20%), and 66% reported local events,
such as pain at the injection site (63%) or erythema
(8%). There were 90% local symptoms, such as pain
and damage at the injection site, followed by about
65% system symptoms in the form of fever,
headache, nausea-vomiting, and myalgia. In the study
(Prevention & CDC, 2021), post-vaccine AEFI can be
a loss, muscle pain, headache, fever, and nausea.
These effects can provoke a decrease in activity for
the recipient.
Figure 1: Expose Covid-19 After Booster Vaccination.
Based on Figure 1, it can be seen that there are 25
health workers who were exposed to covid-19 after
the booster vaccine. based on different research
results from (Edriani et al., 2021). the results of a
study in DKI Jakarta which showed that there was a
close relationship between population density and the
number of positive confirmed cases of COVID-19 of
50.8%.
Table 3: Relationship between gender and AEFI.
Frequency / Percentage (%)
Variables Man Woman p-value
Headache
Drowsiness
8(7.3%)
10
(
9.2%
)
34(31.2%)
41
(
37.6%
)
0.043*
0.023*
Menstruation 0 51(46.8%) 0.000*
*Chi-square test
Based on Table 3, it can be seen that the variable
that has a significant relationship with AEFI that
appear is gender. Out of a total of 109 respondents,
there was a significant difference between AEFI felt
by patients and gender. For AEFI, headache in men at
7.3% and in women at 31.2%, with a p-value of 0.043.
Drowsiness was felt in 9.2% of men and 37.6% of
women, with a p-value of 0.023. Most female health
workers experienced menstrual side effects (46.8%,
p-value: 0.000). It was found that female vaccine
recipients had more side effects than male vaccine
recipients.
This is in line with research conducted by the
Vaccine Center in Germany, they found that the
female gender was more likely to experience side
effects from vaccination (79.1%) (Hoffmann MA,
Wieler HJ, Enders P, Buchholz HG, 2021).
In the study (Gee J, Marquez P, Su J, Calvert GM &
Myers T, Shimabukuro, 2020), 78.7% of AEFI
occurred in women and tended to experience more
AEFI.
Table 4: Relationship Between Age and AEFI.
Variables Frequency
Age (n:109,
Median: Adult)
p-value
Muscle ache 43 (39.5%) 0.021*
Fever 54 (49.55%) 0.046#
Drowsiness 44 (40.37%) 0.011#
Exposed to
Covid 3
25 (22.94%) 0.013#
*Mann-Whitney test, #Kruskal
Wallis test
Based on Table 4, it can be seen that the variables
that have a significant relationship are age and AEFI.
In this study, the respondents' overall ages were from
adolescence to old age. Most of the side effects are
given by those in adulthood (25-45years). These
results are consistent with studies conducted by
(Jahan, Nishat, Fahad Imtiaz Rahman, Poushali Saha,
and Sadia Afruz Ether, 2021) that reported significant
side effects were more excellent in young adults than
in older ones (p = 0.02). Detailed data are presented
Evaluation of Covid-19 Booster Vaccination Results Among Health Workers at a SM Private Hospital in North Jakarta
343
in Table 4. Side effects of muscle pain 39.5% with a
p-value of 0.021. Side effects of fever 49.55% with a
p-value of 0.046. Side effects of drowsiness 40.37%
with a p-value of 0.011. Exposure to covid-19 was
22.94% with a p-value of 0.013.
This age group of Mayors has relatively high
mobility with a history of out-of-town travel, which
is also more frequent. (Vermonte, P., & Wicaksono,
2020).
Research by (World Health Organization
(WHO)., 2021) related to the Moderna vaccine
showed that 90.6% of respondents aged 18-64 years
had a fever with a temperature of < 39 polyurethanes.
On research (Simanjorang et al., 2022), the
proportion between the ages of 34 is almost the same
as the age group > 34 years (57.7% and 42.3%). The
age range of participants is between 20-59 years.
Table 5: Relationship between Profession and AEFI
Variables Frequency p-value
Nurse Non-Nurse
Muscle pain 29 (26.61%) 23 (21.11%) 0.048*
Menstruation 29 (26.61%) 22 (20.19%) 0.031*
Joint pain 28 (25.69%) 26 (23.86%) 0.039*
*Chi-square test
Based on Table 5, it can be seen that the variables
that have a significant relationship are profession and
AEFI. In this study, health professionals are divided
into nurses and non-nurses. For side effects of muscle
pain (myalgia) in nurses, 26.61% and non-nurses,
21.11%, with a p-value of 0.048. For side effects of
joint pain in nurses, 25.69% and non-nurses 23.86%
with a p-value of 0.039. There is an impact or
irregular menstruation in women because women
have a greater level of antibody response to viruses,
infections, and vaccinations.
Most respondents work as nurses. This is in line
with mapping data on the number of health workers
in Indonesia. (Ppsdm Health Agency, 2020). There
was an impact of menstruation on nurses, 26.61% and
non-nurses, 20.19%. This is in contrast to the study
(Romadhan et al., 2022). The majority did not
experience menstrual cycle changes after vaccination
(84.5%) and 15.5% had menstrual cycle changes.
There are reported changes in the menstrual cycle and
volume after vaccination. In this case, further studies
are still being conducted.
Table 6: The relationship between vaccine types and AEFI.
Variables Fre
q
uenc
y
-value
Sinovac Moderna
Muscle ache 17 (15.6%) 35(35.15%) 0.000*
Feve
r
26
(
23.9%
)
37
(
33.95%
)
0.000*
Allergic Reaction 22 (20.2%) 32 (29.4%) 0.000*
Joint
p
ain 17
(
15.6%
)
37
(
33.95%
)
0.000*
Pain, redness at the
in
j
ection site
26 (23.9%) 31 (28.5%) 0.000*
Headache 14 (12.9%) 28 (25.7%) 0.000*
Drowsiness 20
(
18.4%
)
31
(
28.5%
)
0.000*
Exposure to
Covi
d
-19
6 (5.51%) 19(17.43%) 0.000*
*chi-square test
Based on table 6, it can be seen that the variable
that has a significant relationship is the type of
vaccine with AEFI. In the sinovac vaccine, side
effects include muscle pain 15.6%, fever 23.9%,
allergic reactions 20.2%, joint pain 15.6%, redness at
the injection site 23.9%, headache 12.9%, drowsiness
18.4%, and exposure to covid-19 5.51%. In contrast,
Moderna vaccine recipients experienced a large
increase in the frequency of side effects. The
percentage of side effects by Moderna vaccine
recipients were muscle pain 35.15%, fever 33.95%, r
29.4%, joint pain 33.95%, redness at the injection site
28.5%, headache 25.7%, drowsiness 28.5%, and
exposure to covid-19 17.43%.
In the study (Kadali R, Janagama R, Peruru S & SV,
2021), muscle, bone, and joint pain were the most for
48 hours (42.3%). The moderna vaccine study found
that 54.17% of 432 vaccination respondents
experienced muscle pain.
4 CONCLUSION
The side effects contained in this booster vaccine
were muscle pain, fever, allergic reactions, joint pain,
redness and swelling at the injection site, drowsiness,
headache, and menstruation. Health workers who
have been vaccinated with the booster were still
exposed to Covid-19. There were several risk factors
associated with the side effects of this type of vaccine,
which was Moderna vaccine had higher side effect
than sinovac vaccine.
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