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Knowledge, Perceptions, and Practices of Medical Students at Kitwe Teaching Hospital Regarding the COVID-19 Vaccine
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International Journal of Public Health and Safety

ISSN: 2736-6189

Open Access

Review Article - (2022) Volume 7, Issue 7

Knowledge, Perceptions, and Practices of Medical Students at Kitwe Teaching Hospital Regarding the COVID-19 Vaccine

Mulenga A. Chanda*
*Correspondence: Mulenga A. Chanda, Department of Public Health, Copperbelt University, Kitwe, Zambia, Tel: 978738496, Email:
Department of Public Health, Copperbelt University, Kitwe, Zambia

Received: 11-May-2022, Manuscript No. IJPHS-22-63972; Editor assigned: 16-May-2022, Pre QC No. IJPHS-22-63972(PQ); Reviewed: 31-May-2022, QC No. IJPHS-22-63972; Revised: 11-Jul-2022, Manuscript No. IJPHS-22-63972(R); Published: 19-Jul-2022 , DOI: DOI: 10.37421/2736-6189.2022.7.284
Citation: Chanda, Mulenga A. "Knowledge, Perceptions, and Practices of Medical Students at Kitwe Teaching Hospital Regarding the COVID-19 Vaccine." Int J Pub Health Safety 7 (2022): 284.
Copyright: © 2022 Chanda MA. This is an open-access article distributed under the terms of the creative commons attribution license which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: On the 30th of January, 2020 the respiratory tract infecting disease caused by the novel coronavirus now called COVID-19 (i.e. the short form for Corona virus disease 2019), was declared globally a public health emergency. In this regard, medical students can be a sufficient and reliable source of information. The main aim of the study is to ascertain the “knowledge perceptions and practices of medical students at Kitwe teaching hospital regarding the COVID-19 Vaccine”. Healthcare students, most of whom in some cases are called upon to help as front-line health workers would not only need sufficient knowledge about a crisis such as the one we are facing, but also prioritization in the vaccination protocol. This research thus seeks to help in identifying possible concerns that need attention to deep awareness as well as encourage sufficient vaccination uptake from members of this group.

Objectives: This study aimed to assess the knowledge and perceptions of medical students regarding the COVID-19 vaccine at Kitwe Teaching Hospital (KTH).

Methodology: A cross-sectional survey design was employed as the study only observed what was on the ground. The sample size was calculated to be approximately 150. The study employed an online self administered questionnaire in compliance with existing public health requirements like social distancing and reduced person to person interactions. After collecting the data, entry of the data and analysis was carried out using IBM Statistical Package for Social Sciences (SPSS) Version 26.

Results: Out of the calculated sample size of 150, a total of 141 individuals were interviewed making the response rate to be 94%. The majority were male 87 (62.1%) while only 53 (37.9%) females took part in the study. Different age groups took part and the highest frequency was recorded for the age group 21-25 years with 97 (67.8%) participants. The acceptance rate for the COVID-19 vaccine among the study participants was 58.2% with 48.9% willing to take the vaccine when their turn came. From the data analyzed, the knowledge levels were good with 73.8% of the participants having good knowledge of COVID-19 vaccination. This study also found that 55% of medical students were willing to play a role in the fight against COVID-19 if given a chance to, 16.1% were not willing and 28% were not sure.

Conclusion and recommendation: Medical students at KTH showed good knowledge levels and positive attitudes towards COVID-19 vaccination, with 73.8% of the participants having good knowledge and the acceptance rate of COVID-19 vaccine among the study participants being 58.2% with 48,9% willing to take the vaccine when their turn came. In addition, they were willing to play a role given the chance. Some of the students still held on to misconceptions about the vaccine with ideas most likely obtained from non-academic sources which shouldn't be the case among medical students.

Keywords

Knowledge • Perceptions • COVID-19 vaccines • Medical students • Vaccination • Zambia

Abbreviations

CDC: Center for Disease Control and Prevention; COVID-19: Coronavirus disease 2019; HCW: Health Care Workers; KTH: Kitwe Teaching Hospital; SARS-COV-2: Severe Acute Respiratory Syndrome Coronavirus 2; WHO: World Health Organization

Introduction

Back ground

The World Health Organization (WHO) was on 31st December of 2019 alarmed by a cluster of pneumonia patients in Wuhan City, Hubei Province of China. The cause of this pneumonia was a week later identified to be a new form of Coronavirus (novel Coronavirus-2019) and also the illness it causes was named COVID-19. COVID-19 was declared a public health emergency and pandemic on January 30, 2020, and March 11, 2020, respectively by the world health organization [1].

The COVID-19 pandemic has exacted a heavy toll on the world in terms of the burden of disease and deaths. It has also displayed catastrophic consequences to the potentiality of the global economies; insurance industry, healthcare systems to mention a few. The world has faced extraordinary challenges such as community quarantines, country lock-downs, and travel restrictions [2].

Although no cure has been found for COVID-19 and current treatment guidelines of the Center for Disease Control and Prevention (CDC) as well as WHO majorly focus on symptomatic management, much emphasis has been placed on prevention. Standard recommendations to prevent infection or the five golden rules of good hygiene to stop Coronavirus as some put it are: covering the mouth and nose when coughing or sneezing with a flexed elbow or into tissue that you can safely throw away, washing one's hands often with soap and water for 20 seconds at least, not touching your face with unwashed hands plus correctly wearing a mask when in public, keeping a distance of about 1.5 meters away from others and staying home if unwell as well as avoiding crowds. In addition to these golden rules is getting vaccinated.

COVID-19 vaccines are a very new medical intervention/ innovation that has been developed in the shortest time ever recorded, as many vaccines take approximately 10-15 years to reach the public. This innovation is believed to provide the best hope for a permanent solution to controlling the pandemic [3].

On April 12, 2021, Zambia received its first doses of COVID-19 intending to get 8.4 million people aged 18 and older vaccinated. As of August 6, 2021, 180,956 are fully vaccinated which is about 1.3%. Such slow progress to delay in acceptance or refusal of vaccination by citizens across the country can be attributed to misinformation surrounding the subject. Myths and rumors such as the vaccine may alter one's DNA, deliver a microchip into the body, or it can make one magnetic have been quickly on social media. “Reliance on social media might have contributed to uncertainty around COVID-19, for example, about whether people have natural immunity and whether specific home remedies (garlic, vitamins, and rinsing noses with saline) help protect against coronavirus.”. The same can be said to account for the hesitancy of people toward the COVID vaccination.

Having experienced the third wave leaving COVID-associated deaths in Zambia at 3,459, according to the Zambia National Public Health Institute, people must take steps to safeguard themselves from infection of the virus and limit its spread to others. Despite not being actively involved in managing COVID-19 patients, students from medical and allied health sciences do and can serve as information providers. They can teach their community about maintaining personal hygiene, symptoms of COVID-19, and how to prevent its spread. To this effect, they are to possess a basic knowledge about the virus and be able to clear myths about the virus and the vaccine [4]. With this background, the study is aimed to assess the knowledge, perceptions, and practices regarding the COVID-19 vaccine among medical students.

Problem statement

Life following the pronouncement of the COVID-19 pandemic has never been the same, we have seen a slowdown in the global economy as well as affected thousands of people who are either sick or are being killed due to the spread of the disease [5]. Such devastating effects prompted the creation of a vaccine in record time. This creation should be regarded as a solution and an important step to winning the battle, however, there has been skepticism, and the willingness of people to get the vaccine is low.

Additionally the rise of numerous campaigns launched by antivaccinationists fueled by the new technology and short span of vaccine development on social media with fabricated, false, and sometimes misleading translations feeding the conspiracy beliefs of some people. Massages of this nature cloud the minds of people when it comes to making decisions to get the vaccine. Besides since this is a voluntary exercise, why would one willingly go for something they perceive as evil?

Justification

The study aims at finding out what students in the medical field know and how they perceive the vaccine. Information obtained will therefore help identify potential concerns to be addressed and to ensure adequate uptake among this group and enable the development of educational programs to teach skills that will equip our future health practitioners to provide vaccine recommendations by offering correct information and counsel to vaccine-hesitant persons [6].

Literature Review

The COVID-19 vaccine and how it works

The efficiency of a vaccine in reducing the risk of being infected is because it trains the immune system to identify and fight pathogens like viruses and bacteria.

Many studies about the COVID-19 vaccine focus on generating feedback on the entire or part of the spike protein that is unique to the COVID-19 causing virus. Thus, when one receives the vaccination, an immune response is activated. And should the individual be infected later, the immune system can identify the virus, and as it can and is ready to attack the virus, it protects the person from COVID-19 update 45-vaccines-developement.pdf (who. int.)

Just like many other vaccines, the COVID-19 vaccines are developed following the same legal requirements that require pharmaceutical quality, safety, and efficacy as other medicines. The vaccines’ potential side effects are first analyzed in the laboratory many on animals and later on human subjects, volunteers, in this case, COVID-19 vaccines: key facts | European medicines agency.

O’Byrne, Gavin, and McNicholas, indicate that the current and ongoing treatment procedures of the Center for Disease Control and Prevention (CDC) and WHO mainly concentrate on symptomatic management as well as the application of infection prevention measures. Nonetheless, other drugs such as chloroquine, hydroxychloroquine, remdesivir, and lopinavir/ritonavir have equally been tested in clinical trials.

Since the World Health Organization (WHO) declared COVID-19 as a pandemic in March of 2020, many vaccines have been developed. For zambian authorities, the first doses of the Oxford- AstraZeneca COVID-19 vaccine were dispensed in April 2021, despite not having sufficient information regarding the knowledge and acceptability of the said vaccine among Zambians [7]. This research seeks to reveal these issues among medical students at the Kitwe Teaching Hospital (KTH), on the Copperbelt province of Zambia.

Owning to the fact that Healthcare Workers (HCWs) are the ones closely involved in the vaccination procedure, they have in essence been prioritized for the COVID-19 vaccine. It is thus important to assess the level of knowledge and awareness in this particular priority class. In their study, Mudenda, et al. focused on evaluating the vaccine awareness and acceptance among pharmacists due to the important advisory role they play in the lives of patients as regards the means of reducing the spread of the virus and available treatment options. The study started with pharmacy undergraduate students, they being upcoming pharmacists and future custodians of medical drugs and vaccine manufacturing. Their study focused on pinpointing the bottlenecks that may affect vaccine acceptance and uptake in Zambia in the future. This conducted study hoped to help develop an extensively applicable procedure to improve future vaccination uptake in the country.

Knowledge, perceptions, and vaccination hesitancy

According to Lucia, Kelekar, and Afonso, the perceptions of healthcare personnel on a particular subject can be influenced by their knowledge about the issue. This can affect the recognition and handling of infected persons during a pandemic. At the time of their study, the level of knowledge and related perceptions of healthcare personnel regarding COVID-19 was unclear. Thus the current pandemic was a unique opportunity to access the knowledge and perceptions of health personnel as regards the prevailing situation. The study also accessed the sources of COVID-19 information that HCW had during the crisis.

Although the morbidity and mortality due to the COVID-19 seem to be lower on the African continent as compared to higher-income countries, Zambia recorded 133,659 confirmed COVID- 19 cases as of 22 June 2021 and 1,744 deaths. The country as of the said date had administered 148,304 vaccine doses. Owning to the many concerns about uncertainties regarding the COVID-19 vaccination across different countries, it is important to assess and understand the levels of vaccination acceptance among Zambians [8]. This analysis becomes critical, especially among medical students who are playing an important role in helping to shape the perceptions of the society of medical-related issues.

Mudenda, et al. defined vaccine hesitancy as “delay in acceptance or refusal of vaccination despite the availability of vaccination services”. They indicate that across most of Africa, much uncertainty or mistrust has been shown regarding the vaccine and vaccination process alike. This can be mainly attributed to the misinformation campaigns and conspiracies circulating on social media platforms. “For any immunization program to be successful, acceptance of the vaccine is critical and mirrors the general awareness of disease risk, vaccine attitudes and demand for vaccination within the general population” [9].

In their study that focused on Zambian pharmacy students, Mudenda, et al. found that there was a great degree of hesitancy towards COVID-19 vaccines despite their knowledge about the vaccines. They therein recommend health institutions to work handin- hand with medical learning institutions like Universities and related institutions that can help alleviate vaccine hesitancy, especially with pharmacy and/or medical students as they are the very future of the healthcare workforce. This work will be of great help in shaping future interventions to address perceptions, knowledge, and hesitancy regarding vaccines, and thus reduce the future spread of COVID-19 and other viruses.

As COVID-19 is spread from person-to-person transmission via droplet, feco-oral, and direct contact and has an incubation period of 2-14 days, thus applying measures that help curb the spread of the virus is a very critical intervention. Medical personnel is the key persons that are in direct contact with patients and thus a critical point of exposure to infected cases in the healthcare system. This makes medical personnel a high-risk group in terms of exposure to infection. Before the end of January 2020, safety guidelines were published by WHO and CDC to help medical frontline workers and the general public prevent and control the spread of the pandemic [10].

The role of medical students amidst a crisis

During the current pandemic, the main trend and cornerstone internationally have been volunteerism. Nonetheless, due to the many uncertainties and different views about the role medical students can play during such pandemics, student's participation in healthcare systems has been wide-ranging across different institutions. Whereas some universities have categorically prohibited any patient contact, others still have recruited students for healthcenter- based roles as student assistants or early graduates, as frontline staff [11].

There exist a very delicate balance between the risks and potential benefits of deploying medical students in public health emergencies, whether it's accepted or not. Despite the extraordinary times, we’re in, precaution should be taken not to, for example, presume a level of preparedness among medical students beyond their institutional training. Throughout their clinical attachments, most students passively participate in their training, hiding behind classmates, taking patient histories, and observing procedures. Thus bringing these young professionals to the frontline prematurely would be undoubtedly unsafe ground [12].

International frameworks highlight that “medical students are students, not employees. They are not yet medical doctors”. Despite this, these frameworks fail to accept that medical students have a very critical role not only as learners but also as clinicians-in-training. The main role of medical students is to learn medicine, despite this, these students are medical staff who care for patients. Medical students help in interviewing patients, communicating with families, and patients, and well as assisting with many clinal procedures. They also help with care coordination and discharge planning [13].

“However, allowing medical students to serve in clinical roles may benefit patients overall. There is precedent for this kind of involvement. During the Spanish flu outbreak of 1918, medical students at the University of Pennsylvania cared for patients in the capacity of physicians. In a 1952 polio epidemic in Denmark, groups of medical students were tasked with manually ventilating patients. In the current pandemic, medical schools in the United States, Italy, and the United Kingdom are graduating medical students early on the condition that they serve as frontline clinicians” [14].

Although medical students are not directly involved in the clinical care of COVID-19 patients, they are likely to come in contact with those infected with the virus, especially as they help out with routine outpatient care. Therefore, to protect their health and the health of patients from COVID-19, there is a need for a high vaccination acceptance level among medical students [15].

In a study conducted to investigate the attitudes of medical students toward COVID-19 vaccination, Sugawara, et al., acknowledge that vaccination may only be successful when the rate of acceptance among recipients is high. The study further stated that the general public considers health care workers as an important source of information on important issues such as vaccination. For this reason, medical students with a positive attitude towards vaccines may encourage widespread vaccination.

Due to the increased risks of COVID-19, people must take steps to protect themselves from being infected and limit the spread. Though medical students and allied health sciences are not directly involved in handling COVID-19 patients, they can act as reliable information sources. The students can help sensitize communities about the COVID-19 vaccine, personal hygiene, symptoms of COVID-19, and how to prevent its spread. Thus, students must at least possess the basic knowledge about the COVID-19 vaccine and be able to clear the myths about it [16]. The Zambian health care system should therefore not wait until it reaches a breaking point to invite medical students. Medical students are adept at many clinical roles. Allowing them to serve may improve patient care long before the health care system reaches a personnel crisis, and in some cases may even help prevent such crises from occurring.

Objectives

Main objective of the study: This study aims to assess the knowledge, perceptions, and practices of medical students regarding the COVID-19 vaccine at Kitwe Teaching Hospital (KTH).

Specific objectives:

• To determine what and how much medical students, know about the COVID-19 vaccine.

• To assess the perceptions, misconceptions, and uncertainties if any, of students regarding the COVID-19 vaccine

• To determine the relationship between perceptions and/or knowledge and willingness of students towards the COVID-19 vaccination.

• Based on their knowledge and perceptions, assess the willingness of medical students to play a role during a medical crisis such as the COVID-19.

Research questions

• What do medical students know about the COVID-19 vaccine?

• How much do students know concerning the COVID-19 vaccine?

• What views do medical students have regarding the COVID-19 vaccine?

• Is there a correlation between students’ perceptions and/or knowledge of the vaccine and their willingness to get vaccinated?

• How willing are medical students to play a role in the Corona Virus crisis?

Measurement

Operational definitions of key concepts and variables:

• A vaccine may be defined as an antigenic component relatively harmless that induces protective immunity against the corresponding infectious agent by training the immune system to create antibodies the same way it does when exposed to an actual disease thus making it stronger [17]. COVID 19 vaccine is a medication whose intention is to help provide active immunity against the novel Coronavirus that causes coronavirus disease 2019 (COVID-19). As of June 2, 2021, the five COVID-19 vaccines approved by the Zambia Medicines Regulatory Authority (ZAMRA) were Sinopharm (Vero Cells), Jansen (Johnson and Johnson), AstraZeneca Covishield, AZD 1222 5 – Korean AstraZeneca, and the Pfizer Biotech. (ZAMRA approves 5 COVID-19 vaccines for use in Zambia) (2021).

• Vaccination is the process of introducing a vaccine into the body.

• Perceptions are a way of regarding, understanding or interpreting something. A mental impression or attitude of a subject.

• Knowledge information on the COVID-19 vaccine.

• Practice the act of being a recipient of the vaccine.

• Medical students those training to be medical doctors (MBChB) as well as clinical officers (clinicians) (Table 1).

Scales of measurement for the indicators

Table 1. Information on the various variables and indicators for the scale of measurements.

Variable Description Measuring scale
Perception 1. Very favourable Ordinal
2. Favourable
3. Not favourable
4. Highly unfavourable
5. Unfavourable
Knowledge of the COVID Knowledgeable/Not Continuous
vaccine knowledgeable  
Practice (Vaccination) Vaccinated/Not vaccinated Continuous

Conceptual framework

Knowledge (information) or one’s understanding of the COVID-19 vaccine is responsible for shaping their view or attitude towards the vaccine. As medical personnel may be entrusted to make vaccine recommendations to patients, their perception regarding the vaccine influences what kind of advice they give to the community and the information circulating in the entire medical system. This eventually trickles down to the people’s turn up to get vaccinated. If one views the vaccine as a poison, for instance, they are most unlikely to recommend it thus only a few people will be vaccinated.

Perceptions also give medical institutions insight on what to focus on as they train future practitioners so that their graduates will be fully prepared and equipped to handle any medical crisis or public health emergency that may arise (Figure 1).

public-health-conceptual

Figure 1. Conceptual framework.

Methodology

Study site

The study was conducted at Kitwe Teaching Hospital (KTH) in Copperbelt province situated southwest of Buchi and Kamitodo townships just along Kuomboka Drive in Parklands Plot number. 2831. The hospital is a third-level referral hospital serving Zambia’s second-largest populated city with daily patient traffic of 1,300 and a 664-bed capacity, (Kitwe Teaching Hospital) (Figures 2 and 3).

public-health-map

Figure 2. Map.

public-health-satellite

Figure 3. Satellite image of KTH location.

Target population

Students pursuing medicine at KTH from Lusaka Apex Medical University (LAMU) and those from Copperbelt University’s Michael Chilufya Sata (MCS) school of medicine. These comprised fourth, fifth, sixth, and seventh-year students. Clinical medicine students from various schools in their final year (third year) doing attachments at KTH were also targeted.

Study design

A cross-sectional survey design was employed as the study only observed what was on the ground, no intervention was introduced during this study. The study design also provided a snapshot of issues to be analysed; “observations are made at one point in time so that conclusions are drawn based on observations.” and most importantly, it was easy to execute for someone as busy as a medical student (Table 2).

Sample size

The sample size was calculated using the standard formulae shown below:

Equation

Where,

Equation

Table 2. Information for sample size calculation.

Level of confidence (z) 95% (1.96)
Margin of error (e) 8%
Base line indicator (p) 50%
Population 800 approximately

The sample size was calculated to be approximately 150.

Sampling procedure

Through convenience sampling, participants were selected and questionnaires were administered online. To ensure that some variability in the characteristics of respondents was maintained, common meeting places with a pool of students who had a variety of characteristics were targeted. An informed concert was sought from respondents and information obtained was kept confidential

Inclusion and exclusion criteria

Inclusion criteria

Medical students at KTH.

Clinical medicine students (student clinical officers) at KTH.

Exclusion criteria

Non-medical nor clinical medicine students at KTH.

Data collection

The study used a cross-sectional study approach in which the primary method of data collection involved web-based structured questionnaires. The study employed an online self-administered questionnaire to adhere to compliance with existing public health requirements like social distancing and reduced person-to-person interactions. Students were contacted via existing student social media platforms (WhatsApp and Facebook). The questionnaires were made available on Google forms during the research period. To increase and encourage participation, reminders were sent twice a week for those who did not respond within the given timeframe.

Data analysis

After collecting the data, entry of the data and analysis was carried out using IBM Statistical Package for Social Sciences (SPSS) Version 26.

Ethical consideration

Before the study was done, permission from the hospital management was sought. Participants were adequately informed of the purpose of the study. Having obtained their consent participation in the survey was made voluntary, without any form of coercion. They were assured of maintaining anonymity and confidentiality as far as their input was concerned. Furthermore, they were assured that the study did not involve any risks to themselves or their learning situations.

Limitations

Participants may not have been truthful in answering some questions, this might not have given a true picture causing false conclusions to be drawn. Furthermore, the timing of the study ‘snap shot’ was not representative of the issue at hand. Seeing that information obtained was based on the participants’ view of the issue, it could not be generalized and the findings are open to interpretation.

Results

For this study, a total of one hundred and forty-one (141) medical students from Kitwe teaching hospital were recruited upon obtaining informed consent from them and having met the criteria for selection. Out of the calculated sample size of 150, a total of 141 individuals were interviewed making the response rate to be 94%. The sociodemographic characteristics of participants such as age and sex of the respondent were obtained, the knowledge level, attitude and practice.

Sample characteristics

The demographic characteristics are summarized in the table below. Out of 141 participants, the majority were male 87 (62.1%) while only 53 (37.9%) females took part in the study. Different age groups took part and the highest frequency was recorded for the age group 21-25 years with 97 (67.8%) participants followed by those that were between 26-30 inclusive 44 (31.2%). The frequencies for the age group are summarized below in the bar chart. On inquiring about the programme of study revealed that 136 (97.1%) were MBChB students while 4 (2.9%) were clinical medicine students (Table 3 and Figure 4).

Table 3. Demographics.

Variable Indicators Frequency Percent Cumulative percent
Age 21-25 97 67.8 68.8
26-30 44 130.8 100
Total 141 98.6  
Gender Male 87 60.8 62.1
Female 53 37.1 100
Total 140 97.9  
Programme of study MBChB 136 95.1 97.1
Clinical medicine 4 2.8 100
Total 140 97.9  
System 3 2.1  
Total 143 100  
public-health-gender

Figure 4. Gender.

Knowledge

It is legally mandatory to take the COVID-19 vaccine: When asked whether it was legally mandatory to take the covid-19 vaccine, 119 (84%) responded with no while 11 (8%) said yes and another 11 (8%) said they did not know (Figure 5).

public-health-legally

Figure 5. Legally mandatory.

Groups of people who may or may not be eligible for taking the COVID-19 vaccine: The table below summarizes the results for the different groups: Infants (Most of the participants (85.1%) said infants were not eligible, 2.1% said they were eligible while 12.8% did not know); children and adolescents (eligible=50.4%, not eligible=42.6%, and those that didn’t know=7.1%); Above 18 (eligible=97.9%, not eligible=1.4%, and those that didn’t know=7%); Mothers (eligible=46.8, not eligible=36.9%, and those that did not know=16.3) being significant because most of the students thought that they were not eligible; Chronic conditions (eligible=75.2%, not eligible 19.9%, those that did not know=5%); Active COVID-19 (eligible=22.0%, not eligible=66.7%, those that did not know=11.3%); Those recovering (eligible=48.9%, not eligible=37.6%, and those that did not know-13.5%); Allergic to drugs or food (eligible 57.4%, not eligible=30.5, and those that did not know=12.1%); Immunocompromised (eligible=69.5%, not eligible=20.6%, and those that did not know- 9.9%) (Table 4).

Table 4. Groups of people who may or may not be eligible for taking the COVID-19 vaccine. Please make your mark for the same by checking the most appropriate option.

Variable Indicators Frequency Percent Cumulative percent
Infants Eligible 3 2.1 2.1
Not eligible 120 85.1 87.2
Dont know 18 12.8 100
Total 141 100  
Children and adolescents Eligible 71 49.7 50.4
Not eligible 60 42 92.9
I don't know 10 7 100
Total 141 98.6  
Above 18 Eligible 138 96.5 97.9
Not eligible 2 1.4 99.3
I dont know 1 0.7 100
Total 141 98.6  
Mothers Eligible 66 46.2 46.8
Not eligible 52 36.4 83.7
I don’t Know 23 16.1 100
Total 141 98.6  
Chronic conditions Eligible 106 74.1 75.2
Not eligible 28 19.6 95
I don’t know 7 4.9 100
Total 141 98.6  
Active COVID-19 Eligible 31 21.7 22
Not eligible 94 65.7 88.7
I don’t know 16 11.2 100
Total 141 98.6  
Those recovering Eligible 69 48.3 48.9
Not eligible 53 37.1 86.5
Don’t know 19 13.3 100
Total 141 98.6  
Allergies Eligible 81 56.6 57.4
Not eligible 43 30.1 87.9
I don’t know 17 11.9 100
Total 141 98.6  
Immunocompromised Eligible 98 68.5 69.5
Not eligible 29 20.3 90.1
I don’t know 14 9.8 100
Total 141 98.6  

Protective immunity against COVID-19 infection will be achieved after: On the time taken before one achieves protective immunity against COVID-19, the highest frequency was the second dose of vaccination with 48.9%, those that did not know second with 23.4%, 14 days after the first dose was third with 18.4, and finally, the first dose of vaccination had the least frequency with 9.2% (Table 5).

Table 5. Protective immunity against COVID-19 infection will be achieved after.

Variable Indicators Frequency Percent Cumulative percent
Protective immunity against COVID-19 infection will be achieved after The first dose of Vaccination 13 9.1 9.2
14 days of first dose 26 18.2 27.7
Second dose of vaccination 69 48.3 76.6
Dont know 33 23.1 100
Total 141 98.6  

Extent have the following sources of information influenced your opinion regarding vaccination: Different sources of information affected the participants differently. The factors that had a very significant effect on the participants were social media 59 (41.8%) and healthcare providers 58 (41.1%). News from TV/Radio 61 (43.3%), different agencies 58 (41.1%), and discussion 81 (57.4%) all had a somewhat significant effect on the participants. No source of information reported an insignificant effect on most of the participants (Table 6).

Table 6. To what extent have the following sources of information influenced your opinion regarding vaccination.

Variable Indicators Frequency Percent Cumulative percent
News from National TV/Radio Insignificant effect 29 20.3 20.6
Somewhat significant effect 61 42.7 63.8
Very significant 51 35.7 100
Total 141 98.6  
Government agencies Insignificant effect 46 32.2 32.6
Somewhat significant effect 58 40.6 73.8
Very significant 37 25.9 100
Total 141 98.6  
Social media (Facebook, Instagram, and WhatsApp) Insignificant effect 26 18.2 18.4
Somewhat significant effect 56 39.2 58.2
Very significant effect 59 41.3 100
Total 141 98.6  
Discussions amongst friends and family Insignificant effect 19 13.3 13.5
somewhat significant 81 56.6 70.9
Very significant 41 28.7 100
Total 141 98.6  
Healthcare provider Insignificant 27 18.9 19.1
Somewhat significant 56 39.2 58.9
Very significant 58 40.6 100
Total 141 98.6  

Knowledge levels: To assess knowledge about the COVID-19 vaccine, 10 questions were answered with a total score of 10. The questions ranged from basic information regarding COVID-19 vaccine methods to sources of information. This study used 10 questions, each of which was scored one point for a correct response and zero for an incorrect response. An overall knowledge score was calculated by adding up the scores for each respondent across all questions. There were (n=37, 26.2%) respondents with poor knowledge regarding the COVID-19 vaccine, while (n=104, 73.8%) had good knowledge of COVID-19 vaccination as seen in Figure 6, (Table 7).

public-health-knowledge

Figure 1. Good/poor knowledge.

Table 7. Knowledge score.

Variable Indicators Frequency Percent Cumulative percent
Knowledge score 0 0 0  
1 0 0  
2 1 0.7 0.7
3 4 2.8 3.5
4 15 10.6 14.2
5 17 12.1 26.2
6 17 12.1 38.3
7 30 21.3 59.6
8 31 22 81.6
9 18 12.8 94.3
10 8 5.7 100
Total 141 100  

The mean knowledge score for all respondents was 6.8156 out of a possible 10 points, the medium score=7.0, Standard Deviation (SD)=1.85011. Distribution of knowledge regarding. COVID-19 vaccination across all respondents is highlighted in the (Table 8).

Table 8. Knowledge mean and standard deviation.

Valid Mean Std. Error of Mean Median Std. Deviation
141 6.8156 0.15581 7 1.85011

Descriptive statistics of likert scale questionnaire: The descriptive statistics provide general insights into medical students’ willingness toward the COVID-19 vaccine and perceptions towards the vaccine that are likely to influence their taking or abstaining from taking the vaccine. The following tables provide general insights into Medical students on perceptions of Institutional Memory (Table 9).

Students’ will

Table 9. Student’s will.

Variable Indicators Frequency Percent Cumulative percent
When my turn of vaccination comes, I am willing to take the COVID-19 vaccine. strongly agree 35 24.8 24.8
Agree 34 24.1 48.9
Neutral 34 24.1 73
Disagree 16 11.3 84.4
Strongly disagree 22 15.6 100
Total 141 100  
I will prefer to acquire immunity against COVID-19 naturally (by having the disease/subclinical infection) rather than by vaccination. Strongly agree 24 17 17
Agree 22 15.6 32.6
Neutral 37 26.2 58.9
Disagree 36 25.5 84.4
Strongly disagree 22 15.6 100
Total 141 100  
I am willing to get the COVID-19 vaccine,   even   if  I have to pay to get it. strongly agree 8 5.7 5.7
Agree 17 12.1 17.7
Neutral 33 23.4 41.1
Disagree 38 27 68.1
Strongly disagree 45 31.9 100
Total 141 100  
I will recommend my family and friends get vaccinated against COVID-19 Strongly agree 23 16.3 16.3
Agree 48 34 50.4
Neutral 40 28.4 78.7
Disagree 13 9.2 87.9
Strongly disagree 17 12.1 100
Total 141 100  

According to the table above, 24.8% strongly agreed to willingly take the vaccine when their time came, 24.1% agreed and the same percentage also being neutral, 11.3% disagreed, and 15.6% strongly disagreed. However, contrasting results were seen when asked the same questions but this time including their willingness to pay for the vaccine, 31.9% strongly disagreed, 27.0% disagreed, 23.4% were neutral, only 12.1% and 5.7% agreed and strongly agreed respectively. The table also shows that most of the participants 26.2% were neutral when asked if they would prefer to acquire immunity against COVID-19 naturally (by having the disease/ subclinical infection) rather than by vaccination, 25.5% disagreed, 17.0% agreed, while those that agreed and strongly disagreed had the same percentage of 15.6%. In addition, 34.0% agreed to be willing to recommend their friends and family get vaccinated, 16.3% strongly agreed, 28.4% were neutral, 12.1% strongly disagreed and only 9.2% disagreed.

Perceptions

The tables below show the distribution of the participant’s perceptions towards certain variables. If you have taken the vaccine, certain factors must have motivated you to do so. If you are waiting for your turn to get vaccinated, then certain factors might be responsible for your decision to take the vaccine. Given below are certain statements regarding this (Table 10). Please mark your response which according to you best explains your opinion for each statement, respectively. I have taken/will take the COVID-19 vaccine because.

Table 10. I think there is no harm in taking the COVID-19 vaccine.

Variable Indicators Frequency Percent Cumulative percent
I  think  there  is no harm in taking the COVID-19 vaccine Strongly disagree 13 9.2 9.2
Disagree 20 14.2 23.4
Neither agree nor disagree 42 29.8 53.2
Agree 42 29.8 83
Strongly agree 24 17 100
Total 141 100  

Table 10 I think there is no harm in taking the COVID-19 vaccine shows most of the participant’s 29.8% were neutral, and also agreed. Those that strongly agreed were 17%,14.2% disagreed and 9.2 strongly disagreed (Table 11).

Table 11. I believe the COVID-19 vaccine will be useful in protecting me from the COVID-19 infection.

Variable Indicators Frequency Percent Cumulative percent
I believe the COVID-19 vaccine will be useful in protecting me from the COVID-19 infection. Strongly disagree 12 8.5 8.5
Disagree 24 17 25.5
Neither agree nor disagree 31 22 47.5
Agree 52 36.9 84.4
Strongly agree 22 15.6 100
Total 141 100  

Table 11 I believe the COVID-19 vaccine will be useful in protecting me from the COVID-19 infection shows that most (36.9%) of the participant agreed, 22% were neutral, 17% disagreed, 15.6% strongly agreed, and 8.5% strongly disagreed (Table 12).

Table 12. COVID-19 vaccine is available free of cost.

Variable Indicators Frequency Percent Cumulative percent
COVID-19 vaccine is available free of cost Strongly disagree 4 2.8 2.8
Disagree 4 2.8 5.7
neither agree nor disagree 11 7.8 13.5
Agree 58 41.1 54.6
Strongly agree 64 45.4 100
Total 141 100  

Table 12 COVID-19 vaccine is available free of cost shows that 45.4% strongly agreed, 41.1% agreed, 7.8% were neutral, 2.8% disagreed and 2.8% strongly disagreed (Table 13).

Table 13. My health care professional has recommended me.

Variable Indicators Frequency Percent Cumulative percent
My health care professional has recommended me Strongly disagree 10 7.1 7.1
Disagree 12 8.5 15.6
Neither agree nor disagree 33 23.4 39
Agree 59 41.8 80.9
Strongly agree 27 19.1 100
Total 141 100  

Table 13 My health care professional has recommended me shows that 41.8% agreed, 23.4% were neutral, 19.1% strongly agreed, 8.5 disagreed and 7.1% strongly disagreed (Table 14).

Table 14.I feel the benefits of taking the vaccine outweigh the risks.

Variable Indicators Frequency Percent Cumulative percent
I feel the benefits of taking the vaccine outweigh the risk Strongly Disagree 10 7.1 7.1
Disagree 23 16.3 23.4
Neither agree nor disagree 34 24.1 47.5
Agree 50 35.5 83
Strongly Agree 24 17 100
Total 141 100  

Table 14 I feel the benefits of taking the vaccine outweigh the risk shows 35.5% agreed, 24.1% were neutral, 17% strongly agreed, 16.3% disagreed, and 7.1 % strongly disagreed (Table 15).

Table 15. I believe that taking the COVID-19 vaccine is a social responsibility.

Variable Indicators Frequency Percent Cumulative percent
I believe that taking the COVID-19 vaccine is a social responsibility Strongly disagree 16 11.3 11.3
Disagree 16 11.3 22.7
Neither agree nor disagree 32 22.7 45.4
Agree 51 36.2 81.6
Strongly agree 26 18.4 100
Total 141 100  

Table 15 believes that taking the COVID-19 vaccine is a social responsibility show that 36.2% agreed, 22.7% were neutral, 18.4% strongly agreed, 11.3% disagreed, and 11.3% strongly disagreed (Table 16).

Table 16. There is sufficient data regarding the vaccines’ safety and efficacy released by the government.

Variable Indicators Frequency Percent Cumulative percent
There is sufficient data regarding the vaccines’   safety and efficacy released by the government Strongly disagree 26 18.4 18.4
Disagree 28 19.9 38.3
Neither agree nor disagree 29 20.6 58.9
Agree 34 24.1 83
Strongly agree 24 17 100
Total 141 100  

Table 16 There is sufficient data regarding the vaccines’ safety and efficacy released by the government shows that 24.1 % agreed, 20.6% were neutral, 19.9% disagreed, 18.4% strongly disagreed, and 17% strongly agreed (Table 17).

Table 17. My role models/political leaders/senior doctors/scientists have taken COVID-19 vaccine.

Variable Indicators Frequency Percent Cumulative percent
My role models/political leaders/senior doctors/scientists have taken COVID-19 vaccine. Strongly disagree 17 12.1 12.1
Disagree 22 15.6 27.7
Neither agree nor disagree 41 29.1 56.7
Agree 46 32.6 89.4
Strongly agree 15 10.6 100
Total 141 100  

Table 17 My role models/political leaders/senior doctors/scientists have taken COVID-19 vaccine shows that 32.6% agreed, 29.1% were neutral, 15.6% (Table 18).

Table 18. Many people are taking the COVID-19 vaccine.

Variable Indicators Frequency Percent Cumulative percent
Many people are taking the COVID-19 vaccine Strongly disagree 13 9.2 9.2
Disagree 20 14.2 23.4
Neither agree nor disagree 37 26.2 49.6
Agree 57 40.4 90.1
Strongly agree 14 9.9 100
Total 141 100  

Table 19 Many people are taking the COVID-19 vaccine shows that 40.4% agreed, 26.2% were neutral, 14.2% disagreed, 9.9% strongly agreed and 9.2% strongly disagreed.

Table 19 I think it will help eradicate COVID-19 infection shows that 31.2% agreed, 24.8% were neutral, 17.7% disagreed, 13.5% strongly disagreed, and 12.8 strongly agreed.

Table 19. I think it will help eradicate COVID-19 infection.

Variable Indicators Frequency Percent Cumulative percent
I think it will help eradicate the COVID-19 infection Strongly disagree 19 13.5 13.5
Disagree 25 17.7 31.2
Neither agree nor disagree 35 24.8 56
Agree 44 31.2 87.2
Strongly agree 18 12.8 100
Total 141 100  

Influence to take the vaccine: There are still many concerns regarding the COVID-19 vaccine that may influence your decision (creating doubt in your mind) to get the COVID-19 vaccine. Give your opinion on how the following statements have influenced/will influence your decision to take the vaccine I am concerned that (Table 20).

Table 20 COVID-19 vaccine might not be available to me shows that 39.7% disagreed, 29.1 strongly disagreed, 15.6% were neutral, 7.8%, agreed, and 7.8% strongly disagreed (Table 21).

Table 20. COVID-19 vaccine might not be available to me.

Variable Indicators Frequency Percent Cumulative percent
COVID-19 vaccine might not be available to me Strongly disagree 41 29.1 29.1
Disagree 56 39.7 68.8
Neither agree nor disagree 22 15.6 84.4
Agree 11 7.8 92.2
Strongly agree 11 7.8 100
Total 141 100  

Table 21 Might have immediate serious side effects after taking COVID-19 vaccine shows that 34.8% agreed, 19.9% were neutral, 16.3% strongly agreed, 15.6% disagreed, and 13.5% strongly disagreed (Table 22).

Table 21. Might have immediate serious side effects after taking COVID-19 vaccine.

Variable Indicators Frequency Percent Cumulative percent
Might have immediate serious side effects after taking COVID-19 vaccine. Strongly disagree 19 13.5 13.5
Disagree 22 15.6 29.1
Neither Agree nor Disagree 28 19.9 48.9
Agree 49 34.8 83.7
Strongly agree 23 16.3 100
Total 141 100  

Table 22 COVID-19 vaccine may be faulty or fake shows that 36.2% were neutral, 24.1% disagreed, 21.3% agreed, 17.7% strongly agreed, and 10.6% strongly disagreed (Table 23).

Table 22. COVID-19 vaccine may be faulty or fake.

Variable Indicators Frequency Percent Cumulative percent
COVID-19 vaccine may be faulty or fake Strongly disagree 15 10.6 10.6
Disagree 34 24.1 34.8
Neither agree nor disagree 37 26.2 61
Agree 30 21.3 82.3
Strongly agree 25 17.7 100
Total 141 100  

Table 23 COVID-19 vaccine was rapidly developed and approved shows that 32.6% agreed. 28.4% strongly agreed, 14.2% disagreed, 13.5% were neutral, and 11.3% strongly disagreed (Table 24).

Table 23. COVID-19 vaccine was rapidly developed and approved.

Variable Indicators Frequency Percent Cumulative percent
COVID-19 vaccine was rapidly developed and approved. Strongly disagree 16 11.3 11.3
Disagree 20 14.2 25.5
Neither disagree nor agree 19 13.5 39
Agree 46 32.6 71.6
Strongly agree 40 28.4 100
Total 141 100  

Table 24 I might have some unforeseen future effects of the COVID-19 vaccine shows that 31.2% agreed, 29.8% strongly agreed, 14.2% disagreed, 12.8% were neutral, and 12.1% strongly disagreed (Table 25).

Table 24. I might have some unforeseen future effects of the COVID-19 vaccine.

Variable Indicators Frequency Percent Cumulative percent
I might have some unforeseen future effects of the COVID-19 vaccine Strongly disagree 17 12.1 12.1
Disagree 20 14.2 26.2
Neither agree nor disagree 18 12.8 39
Agree 44 31.2 70.2
Strongly agree 42 29.8 100
Total 141 100  

Table 25 COVID-19 vaccine is being promoted for commercial gains of pharmaceutical companies shows that 23.4% disagreed, 22% agreed, 21.3% were neutral, 20.6% strongly agreed, and 12.8%strongly disagreed (Tables 26,27).

Table 25. COVID-19 vaccine is being promoted for commercial gains of pharmaceutical companies.

Variable Indicators Frequency Percent Cumulative percent
COVID-19 vaccine is being promoted for commercial gains of pharmaceutical companies. Strongly disagree 18 12.8 12.8
Disagree 33 23.4 36.2
Neither agree nor disagree 30 21.3 57.4
Agree 31 22 79.4
Strongly agree 29 20.6 100
Total 141 100  

Table 26. Range indicator.

Indicator Range
Strongly disagree 1-1.8
Disagree 1.9-2.6
Neutral 2.7-3.4
Agree 3.5-4.2
Strongly agree 4.3-5

Table 27. Means of perceptions.

  N Mean Indicator Std. Deviation
I think there is no harm in taking the COVID- 19 vaccine 141 3.31 Neutral 1.184
I believe the COVID-19 vaccine will be useful in protecting me from the COVID-19 infection. 141 3.34 Neutral 1.182
COVID-19 vaccine is available free of cost 141 4.23 Agree 0.923
My health careprofessional has recommended me 141 3.57 Agree 1.11
I feel the benefits of taking the vaccine outweigh the risk 141 3.39 Neutral 1.157
9.6) I believe that taking the COVID-19 vaccine is a social responsibility. 141 3.39 Neutral 1.235
There is sufficient data regarding the vaccines’ safety and efficacy released by the government 141 3.01 Neutral 1.368
My role models/political leaders/senior doctors/scientists have taken COVID-19 vaccine 141 3.14 Neutral 1.175
Many people are taking the COVID-19 vaccine 141 3.28 Neutral 1.116
I think it will help eradicate the COVID- 19 infection 141 3.12 Neutral 1.239

I think there is no harm in taking the COVID-19 vaccine: The mean was 3.31 and the standard deviation was 1.184. This means that a lot of people were neither in agreement nor disagreement with this statement.

I believe the COVID-19 vaccine will be useful in protecting me from the COVID-19 infection: The mean was 3.34 and the standard deviation was 1.182. This means that a lot of people were neither in agreement nor disagreement with this statement.

COVID-19 vaccine is available free of cost: The mean was 4.23 and the standard deviation was 0.923. This means that a lot of people were in agreement with this statement.

My health care professional has recommended me: The mean was 3.57 and the standard deviation was 1.110. This means that a lot of people were in agreement with this statement.

I feel the benefits of taking the vaccine outweigh the risk: The mean was 3.39 and the standard deviation was 1.157. This means that a lot of people were in agreement with this statement.

I believe that taking the COVID-19 vaccine is a social responsibility: The mean was 3.39 and the standard deviation was 1.235. This means that a lot of people were neither in agreement nor disagreement with this statement.

• There is sufficient data regarding the vaccines safety and efficacy released by the government The mean was 3.01 and the standard deviation was 1.368. This means that a lot of people were neither in agreement nor disagreement with this statement.

My role models/political leaders/senior doctors/scientists have taken the COVID-19 vaccine: The mean was 3.14 and the standard deviation was 1.175. This means that a lot of people were neither in agreement nor in disagreement with this statement.

Many people are taking the COVID-19 vaccine: The mean was 3.28 and the standard deviation was 1.116. This means that a lot of people were neither in agreement nor in disagreement with this statement.

I think it will help eradicate COVID-19 infection: The mean was 3.12 and the standard deviation was 1.239. This means that a lot of people were neither in agreement nor disagreement with this statement (Table 28).

Table 28. COVID-19 vaccine.

  N Mean Indicator Std. Deviation
COVID-19 vaccine might not be available to me 141 2.26 Disagree 1.186
Might have immediate serious side effects after taking the COVID-19 vaccine. 141 3.25 Neutral 1.283
COVID-19 vaccine may be faulty or fake 141 3.11 Neutral 1.26
COVID-19 vaccine was rapidly developed and approved 141 3.52 Agree 1.339
I might have some unforeseen future effects from the COVID-19 vaccine 141 3.52 Agree 1.366
COVID-19 vaccine is being promoted for commercial gains of pharmaceutical companies 141 3.14 Neutral 1.334

COVID-19 vaccine might not be available to me: The mean was 2.26 and the standard deviation was 1.186. This means that a lot of people were in disagreement with this statement.

Might have immediate serious side effects after taking the COVID-19 vaccine: The mean was 3.25 and the standard deviation was 1.283. This means that a lot of people were neither in agreement nor disagreement with this statement

COVID-19 vaccine may be faulty or fake: The mean was 3.11 and the standard deviation was 1.260. This means that a lot of people were neither in agreement nor disagreement with this statement

COVID-19 vaccine was rapidly developed and approved: The mean was 3.52 and the standard deviation was 1.339. This means that a lot of people were in agreement with this statement.

I might have some unforeseen future effects of the COVID-19 vaccine: The mean was 3.52 and the standard deviation was 1.366. This means that a lot of people were in agreement with this statement (Figure 7).

public-health-vaccine

Figure 7. Taken the vaccine.

COVID-19 vaccine is being promoted for commercial gains of pharmaceutical companies: The mean was 3.14 and the standard deviation was 1.334. This means that a lot of people were neither in agreement nor disagreement with this statement (Tables 29-33).

Table 29. No need to follow preventive measures.

Variable Indicators Frequency Percent Cumulative percent
After getting the COVID-19 vaccine, I don’t need to follow preventive measures such as wearing a mask, sanitization, and social distancing Strongly agree 10 7 7.1
Agree 3 2.1 9.2
Neither Agree nor disagree 3 2.1 11.3
Disagree 30 21 32.6
Strongly disagree 95 66.4 100
Total 141 98.6  

Willingness to play a role

Table 30. Have you taken the Covid-19 vaccine.

Variable Indicators Frequency Percent Cumulative percent
Have you taken the Covid-19 vaccine? Yes (first dose) 49 34.3 34.8
Yes (second dose) 33 23.1 58.2
No 59 41.3 100
Total 141 98.6  

Table 31. If your answer to the question above is no, why not?

Variable Indicators Frequency Percent Cumulative percent
If your answer to the question above is no, why not? Not convinced 14 9.8 25.9
Haven’t found time to get it, considering to 8 5.6 40.7
Doubts vaccine efficacy 17 11.9 72.2
Unsure of the long term side effects 15 10.5 100
Total 54 37.8  
As a medical student, and hence future front liner, do you feel there’s
something you can do to help out in the fight against COVID-19?
Yes 123 86 87.2
No 4 2.8 90.1
not sure 14 9.8 100
Total 141 98.6  
  Given a chance would you volunteer to work in a Covid isolation ward? Yes 77 53.8 55
No 23 16.1 71.4
not sure 40 28 100
Total 140 97.9  

Correlation

Table 32. Knowledge correlation with other variables.

Variable Indicator Knowledge levels Total P-Value
Good (score above 5) Bad (score 5 and less)
Willingly take the vaccine strongly agree 28 7 35 0.95    
Agree 24 10 34
Neutral 23 11 34
Disagree 10 6 16
Strongly disagree 19 3 22
Total 104 37 141
Volunteer Yes 57 20 77 0.791  
No 15 8 23
not sure 31 9 40
Total 103 37 140
Taken the vaccine Yes (first dose) 32 17 49 0.148  
Yes (second dose) 26 7 33
No 46 13 59
Total 104 37 141
Can you do something Yes 89 34 123 0.291  
No 3 1 4
not sure 12 2 14
Total 104 37 141
Gender Male 62 25 87 0.431  
Female 41 12 53
Total 103 37 140

Table 33. Correlation between willingness to volunteer and perceptions.

Variable Indicator Volunteer Total P-Value
yes no not sure
No harm Strongly disagree 9 2 1 12 0.452
Disagree 8 6 6 20
Neither agree nor disagree 23 7 12 42
Agree 25 3 14 42
Strongly agree 12 5 7 24
Total 77 23 40 140
Protection Strongly disagree 6 3 2 11 0.949
Disagree 13 5 6 24
Neither agree nor disagree 15 5 11 31
Agree 31 5 16 52
Strongly agree 12 5 5 22
Total 77 23 40 140
Available for free Strongly disagree 4 0 0 4 0.677
Disagree 3 0 1 4
neither agree nor disagree 3 3 4 10
Agree 29 12 17 58
Strongly agree 38 8 18 64
Total 77 23 40 140
Recommended by healthcare provider Strongly disagree 7 2 0 9 0.188
disagree 8 0 4 12
Neither agree nor disagree 19 6 8 33
Agree 27 10 22 59
Strongly agree 16 5 6 27
Total 77 23 40 140
The benefits outweigh the risk Strongly disagree 8 1 1 10 0.547
Disagree 14 3 6 23
Neither agree nor disagree 13 9 12 34
Agree 28 6 15 49
Strongly agree 14 4 6 24
Total 77 23 40 140
Social responsibility Strongly Disagree 10 2 3 15 0.034
Disagree 10 3 3 16
Neither agree nor disagree 14 6 12 32
Agree 27 8 16 51
Strongly Agree 16 4 6 26
Total 77 23 40 140
Efficacy Strongly disagree 15 3 8 26 0.601
Disagree 11 6 11 28
Neither agree nor disagree 20 2 6 28
Agree 19 6 9 34
Strongly agree 12 6 6 24
Total 77 23 40 140

In the previous chapter, the results of the study were presented. In this chapter, the same results are discussed regarding the knowledge, attitudes, and practices of medical students toward the COVID-19 vaccine. The study limitations are also discussed in this chapter.

Discussion

Significant research findings are interpreted and summarized in a manner conforming to the main study objective which was to assess the knowledge and perceptions of medical students regarding the COVID-19 vaccine at Kitwe Teaching Hospital (KTH).

Knowledge

Knowledge, perceptions, and practices of medical students at Kitwe Teaching Hospital towards the COVID-19 vaccine. The acceptance rate for the COVID-19 vaccine among the study participants was 58.2% with 48,9% willing to take the vaccine when their turn came. This is similar to studies in Japan, the UK, and the UAE which showed that 62.1%,64%, and 56.3% of the participants were very likely to receive a vaccine against COVID-19, respectively [18-20]. However, the rates seen in the KTH were considerably higher than 34% among personnel at Jordan University Hospital, and 26.5% among HCWs in the Democratic Republic of Congo [21,22]. Other studies though have shown higher rates of vaccine updates than seen in our study. Barello, et al., also ascertained that 86.1% of the students in Italy would take the vaccine for COVID-19, with no significant difference between acceptance among healthcare students versus non-healthcare students. Similarly, Almaki, et al., ascertained that 90.4% of the students in Saudi Arabia would be happy to be vaccinated once they became available. Lim, et al., found that only 32% of graduate students expressed vaccine hesitancy, with Riad, et al., ascertaining worldwide that only 13.9% of the dental students would reject the COVID-19 vaccine.

From the data analyzed, the knowledge levels were good with 73.8% of the participants having good knowledge of COVID-19 vaccination as seen in figure 3.3. This finding echoes some similarities to various studies undertaken in Egypt and Bangladesh indicating high knowledge of COVID-19 [23]. However, other studies have much higher knowledge rates with the vast majority (99.5%) of those surveyed in Northern Nigeria having good knowledge of COVID-19 with similarly high rates (90%) among students in Jordan with social media and the internet key information sources. I believe the numerous awareness campaigns regarding coronavirus that the university has undertaken contributed to the high scores in our study; however, further research is needed before we can say anything with certainty. Of concern though, is that 26.2% of the students surveyed had poor knowledge, which I believe came from non-scientific resources given the level of misinformation circulating regarding the vaccines. Higher rates of poor knowledge though were seen in a study in Nigeria where 96.0% of those surveyed had poor knowledge of the disease, with again social media as the main source of information [24].

Perceptions

When the participants were asked about their perceptions regarding the vaccine, most participants (61.0%) believed that it might have some unforeseen future effects. This may be because the vaccine was rapidly developed to which sixty-one of the participants agreed. Skepticism is brought about because the scientific method of research is usually a gradual one and other life-threatening conditions still do not have a vaccine up to now. Implying that the vaccine could have been fake or faulty as thirty-nine percent of our participants ascertained. Despite all these reasons, the majority (46.8%) did not seem to think the vaccine was harmful. They (52.5%), however, believed that it would be useful in protecting them against COVID-19 infection which has known no boundaries and has been ruthless to all. Such a belief is wise as it is unclear whether previous exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) provides protection against subsequent infection for those that prefer to acquire natural immunity against the infection.

Correlation between willingness and knowledge and perception

According to this study, 24.8% strongly agreed to willingly take the vaccine when their time came, 24.1% agreed and the same percentage also being neutral, 11.3% disagreed, and 15.6% strongly disagreed. There was no correlation between knowledge levels and most of the perceptions as the p-value was greater than 0.05. This finding was contrary to the findings of a survey in Vietnam that showed a significant relationship between knowledge and good practices [25]. However, there was a correlation between willingness and participants feeling like it was a social responsibility (p-value=0.048). I believe that taking the COVID-19 vaccine is a social responsibility: The mean was 3.39 and the standard deviation was 1.235 [26]. This means that a lot of people were neither in agreement nor disagreement with this statement. Despite that, a cross-tabulation showed that 43 (30.5%) that agreed that it was a social responsibility were willing to take the vaccine compared to 20 (14.2%) that disagreed but were still willing to take the vaccine [27,28].

Play a role

This study also found that 55% of medical students were willing to play a role in the fight against COVID-19 if given a chance to, 16.1% were not willing and 28% were not sure.

Conclusion

Medical students at KTH showed good knowledge levels and positive attitudes towards COVID-19 vaccination, with 73.8% of the participants having good knowledge and the acceptance rate of COVID-19 vaccine among the study participants being 58.2% with 48,9% willing to take the vaccine when their turn came. Some of the students still held on to misconceptions about the vaccine with ideas most likely obtained from non-academic sources which shouldn't be the case among medical students. This study also found that 55% of medical students were willing to play a role if given a chance to, 16.1% were not willing and 28% were not sure.

Recommendations

Medical students can be very instrumental in sensitizing and encouraging the masses on the COVID-19 vaccine. For this reason, ensuring that they have correct facts about the Vaccine is very important, learning institutions should therefore deliberately incorporate topics on the disease and its prevention in their curriculum.

Furthermore, there is a need for research on the long-term side effects of the vaccine as this will help dispel any uncertainties.

Acknowledgement

I credit the completion of writing this research proposal to the Almighty God who gave me breath and the strength to work.

I would also love to extend my sincere appreciation and gratitude to my supervisor, Dr. Banda, and my consultants Mr. Maphango Innocent and Mr. Mukuka Mulenga both of whom gave me the guidance and encouragement I needed during the writing process.

Special thanks to all my family and everyone for the advice and support they gave to me. I could not have done it without it

References

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