key: cord-0937291-ccszsgns
authors: Tadele Admasu, Fitalew
title: Knowledge and Proportion of COVID-19 Vaccination and Associated Factors Among Cancer Patients Attending Public Hospitals of Addis Ababa, Ethiopia, 2021: A Multicenter Study
date: 2021-11-23
journal: Infect Drug Resist
DOI: 10.2147/idr.s340324
sha: b7700c5a0952e7193b67435fc2f733fa2d964773
doc_id: 937291
cord_uid: ccszsgns

BACKGROUND: Cancer patients are classified as being at high risk of contracting COVID-19 infection, hospitalization, and death and were recommended to have early access to the limited COVID-19 vaccine. However, there are limited studies on the knowledge and acceptance of the COVID-19 vaccine among cancer patients. Therefore, this study aimed at assessing the awareness, readiness, and associated factors among cancer patients. METHODS: Institution-based cross-sectional study was conducted on 422 cancer patients from May to August, 2021. A structured interviewer-administered questionnaire was used to collect primary data. A systematic random sampling technique was used to select study participants. Descriptive statistics and binary logistic regression followed by multivariable analysis were performed to investigate the independent association of factors with the outcome variable. Finally, statistical significance was declared at P <0.05 using AOR and 95% CI. RESULTS: From the 422 cancer patients who participated, 77 (18.2%) had a history of COVID-19 infection, and 224 (55%) believe that the cancer disease will not make them more vulnerable to be infected by COVID-19. Accordingly, younger age (18–30 years) (AOR = 2.73: 95% CI: 0.18, 4.51), female (AOR = 6.4: 95% CI: 0.7, 13.8), having information about COVID-19 vaccine (AOR = 6.9: 95% CI: 3.1, 15.2), COVID-19 infection history (AOR = 6.0: 95% CI: 2.5, 11.8), duration since cancer diagnosis (≥10 years) (AOR= 6.2: 95% CI: 2.6, 14.7), and belief about the likelihood of dying of COVID-19 infection (AOR = 3.05: 95% CI: 1.03, 4.05) were the independent predictors of the likelihood of receiving COVID-19 vaccine among cancer patients. CONCLUSION: This study has found significant cancer patients with poor knowledge about the vaccine, and the percentage of both the first and second round of COVID-19 vaccination was small. Therefore, information communication with cancer patients and oncologists about the COVID-19 vaccine may help to decrease vaccine hesitancy.

In Ethiopia, since the first COVID-19 positive case was identified on March 13, 2020, the number of new cases has been rapidly increasing, and now the country is one of the five countries with the highest COVID-19 burden in Africa. 1 Since the pandemic was identified, the Ethiopian government and Ministry of Health have been working hard to disseminate information about COVID-19 prevention measures and have achieved remarkable results through a decrease in new cases and deaths. 2 However, in the past two months, the number of new cases and deaths has started to increase (weekly increase in the number of new cases by up to 130% in July and 61% in August from the weekly new cases of June). 3, 4 COVID-19 infection is a serious public health emergency, 5 and the morbidity and mortality are particularly high in exposed populations with inadequate health service facilities. 6 Many international studies have explored the variability in the susceptibility of individuals to COVID-19 infection and disease outcome, and several socio-demographic, economic, patient-related, and chronic comorbidities, including cardiovascular disease, diabetes, and cancer, have shown to increase the susceptibility to, severity of, and mortality resulting from the disease. [7] [8] [9] Cancer patients, because of their compromised immune system, old age, underlying malignancy burden, and toxicity related to cancer treatments, appear to have an increased risk of contracting the virus, hospitalization, needing treatment at intensive care unit, and death. 9, 10 Cancer patients are the major victims of this pandemic, with increased risks of morbidity and mortality from COVID-19 infection. 11, 12 Cancer patients of different types with COVID-19 have higher mortality and hospitalization rates than non-cancer individuals; in Spain, 45/1069 Covid-19 morbidity in cancer patients vs 42,450/ 6,662,000 in total population; 13 in China, case fatality of 2.3 to 8.0% in the general population vs 5.6% in cancer patients; 10 in a cohort study, 21% of cancer patients with COVID-19 died vs 7.8% in non-cancer groups; 14 and the probability of death among cancer diseased patients with COVID-19 was also estimated to be around 25.6%. 15 COVID-19 also negatively affects the screening, diagnosis, follow-up, and treatment schedule of cancer patients as the current oncological treatment and diagnostic guidelines have not been reviewed in light of the current reality. 16, 17 Vaccines are one of the most reliable and cost-effective tools used to prevent and reduce the risk of developing severe illness from an infectious disease like COVID-19. 18, 19 Currently, there are more than 50 different COVID-19 vaccine types developed to curb the spread of the infection. 20 To reduce the continued impact of COVID-19 and to achieve maximum effectiveness, high uptake of COVID-19 vaccines in a short duration is needed. However, due to little knowledge about the disease and the vaccine, and limited supply of the vaccines, vaccinating large populations within a short period is almost impossible. Consequently, WHO recommended prioritizing a roadmap through the National Deployment and Vaccination Plan (NDVP) whereby frontline health care workers and individuals with underlying conditions or high-risk groups like cancer patients are recommended to be given priority. 18, 21 Though patients with cancer disease are classified as high risk and recommended to have early access even to the limited COVID-19 vaccine supply, there is a lack of data about the safety and efficacy of the vaccine in cancer patients and cancer patients were excluded from most COVID-19 and vaccine clinical trials. 22, 23 At this time of uncertainty, increased misconceptions and apprehensions about vaccine safety and efficacy, negative attitudes towards vaccination, and fear of unforeseen side effects may result in vaccine hesitancy leading to undermining efforts to reduce the impact of COVID-19 and these misbeliefs are thought to be pronounced in cancer patients. 24, 25 The main factors that determine an individual's intent to take the COVID-19 vaccine include perceived severity of the illness, perceived susceptibility to the disease, perceived benefits that the person is likely to obtain as a result of the vaccine, perceived barriers, and information and knowledge about the disease and the vaccine. 26, 27 Therefore, assessing cancer patients' awareness of and readiness to receive the COVID-19 vaccine along with the main factors which could increase the likelihood of receiving the vaccine will help develop and implement effective strategies in promoting the COVID-19 vaccine and decrease the recent alarming increase in COVID-19 new cases among cancer patients. However, there are no prior studies conducted in Ethiopian cancer patients which assess the awareness about the new vaccine, their main concerns which may hinder them to take the vaccine, and factors that may increase the likelihood of receiving the vaccine. Therefore, to fill this gap the current study was aimed to assess the first and second round COVID-19 vaccine coverage and the willingness to take the vaccine and its determinants among cancer patients attending public hospitals of Addis Ababa, Ethiopia.

An institution-based cross-sectional study was conducted from May 2021 to 15 

This study was conducted during the period in which the Ethiopian government and Ministry of Health had already started administering the first dose of COVID-19 vaccine and the second dose was also started for those populations most at risk of infection with COVID-19 as per the National Deployment and Vaccination Plan (NDVP) developed following the WHO Prioritizing Roadmap. In the first round of vaccination, frontline health care workers, individuals with chronic illnesses including cancer, and a few elderly individuals got the chance to be vaccinated, due to the lesser amount of vaccines, but during the data collection period, any voluntary person was allowed to take both first and second round of the vaccine. Consequently, the study population of the present study were all pathologically confirmed adult (above 18 years) cancer patients of both sexes who visited the pathology or oncology clinics or patients who were admitted for any type of cancer treatment at the selected hospitals. The sample size for this particular study was determined using the single population proportion formula by taking, P = 50% (proportion of vaccination among cancer diseased patients in Ethiopia), d = 5% (margin of error), Zα/2 = 1.96 (the value of the standard normal curve score corresponding to the confidence interval), and 95% confidence level. After adjusting and adding a 10% nonresponse rate, the final total sample size was n = 422. The sample was proportionally allocated to each of the five hospitals found in Addis Ababa, Ethiopia. The participants were selected through a systematic random sampling technique using a patient register chart.

An interviewer-based pretested and structured questionnaire was used to collect primary data on cancer patients' socio-demographic characteristics, their general awareness of and opinion about the COVID-19 vaccine, COVID-19 vaccination history, and possible reasons for lack of willingness to take the COVID-19 vaccine. Furthermore, a structured checklist was employed to abstract secondary data from patients' charts about the type of cancer, duration since cancer diagnosis, active cancer treatment status, and past/current COVID-19 infection experience. The questionnaire was prepared by reviewing many international studies with some modifications in the local context, 15,28-30 but most questions were developed by the researcher by consulting oncologists. The questionnaire was first prepared in English and then translated to Amharic language and the final tool was prepared in English after retranslating the Amharic version for consistency purposes. Pretest was done on 5% of the total sample size and modifications were made accordingly. The study assessed study participants' Covid-19 infection history (current/past, their/another individual) (10 items), awareness of and opinion about COVID-19 vaccine (9 items), COVID-19 vaccination history (7 items), and possible reasons for the lack of willingness to take the first (10 items) and second (9 items) doses of COVID-19 vaccine. Both primary and secondary data were collected by trained public health and nurse professionals and the investigator facilitated and supervised the data collection process. All the necessary COVID-19 prevention precautions were taken during the data collection process.

The collected data were checked for completeness and internal consistency, coded, edited, and entered into epidata version 4.2. Then, Stata version 14 was used for statistical analysis. Descriptive statistical analysis such as frequencies and proportion, and summary statistics and cross-tabulation were used. Variable candidacy (P <0. 25 

Tadele Admasu for multivariable analysis was determined after running bivariable analysis using binary logistic regressions and then multivariable logistic regressions were performed to investigate the statistically significant association with the likelihood of receiving the Covid-19 vaccine. Finally, statistical significance was declared at (P <0.05) using AOR and 95% CI.

Before actual data collection, training and discussion with data collectors and supervisors were undertaken. All data were collected by well-trained public health and nurse professionals who have experience in working at Covid-19 quarantine/ isolation/treatment centers. All collected data was reviewed for completeness and consistency on a daily basis.

In this study, a total of 422 pathologically confirmed cancer diseased patients of different types were included and all approached participants agreed to participate, thus resulting in a response rate of 100%. Figure 1 ). Of those participants who took the first round of the vaccine (n = 78), 24 (30.8%) have received the second round of the COVID-19 vaccine ( Figure 2 and Table 2 ).

Study Participants' Reasons for the Lack of Willingness to Take the First and Second Round of the COVID-19 Vaccine

As shown in Table 3 , the study also assessed the main reasons of study participants for not receiving the first round (in those patients who were not vaccinated in the first round) and for the second round (in those participants who have received the first but not the second round) of the (Table 4 ). Cancer patients of younger age (18-30 years) were 2.73 (AOR = 2.73: 95% CI: 0.18, 4.51) times more likely to get vaccinated than older age groups. Female cancer patients were 6.4 (AOR = 6.4: 95% CI: 0.7, 13.8) times more likely to take the vaccine than male patients. The likelihood of receiving the COVID-19 vaccine was 6.9 (AOR = 6.9: 95% CI: 3.1, 15.2) times higher in those cancer patients who have information about the vaccine than in those who do not have it. Cancer patients who experienced either previous or current COVID-19 infection were 6.0 (AOR = 6.0: 95% CI: 2.5, 11.8) more likely to get the vaccine than when compared to those patients who had no Covid-19 infection experience. Cancer patients who were with cancer for more than ten years were 6.2 (AOR = 6.2: 95% CI: 2.6, 14.7) times more likely to receive the COVID-19 vaccine than those patients with a shorter duration with cancer. Finally, cancer patients who believe in the likelihood of dying of COVID-19 infection had 3.05 (AOR = 3.05: 95% CI: 1.03, 4.05) times higher odds of the likelihood of receiving COVID-19 vaccine than those patients who do not believe (Table 4 ).

In this study, the knowledge of cancer diseased patients related to the COVID-19 vaccine and percentage of these patients who got the first and second dose of the vaccine, the reasons why they are not willing to receive the vaccine, and determinant factors associated with the likelihood of receiving the vaccine among cancer patients attending public hospitals of Addis Ababa are reported. Age, sex, information about COVID-19 vaccine, previous or current history of COVID-19 infection, duration since cancer diagnosis, and belief about the likelihood of dying of COVID-19 infection were found to be significant predictors.

The COVID-19 pandemic has been a health issue of great concern since its start in 2020 and causes high morbidity and mortality, especially in the higher-risk population groups like the one in this study, patients with cancer. 31 Because of the limited supply of the vaccine and high demand, setting prioritization guidelines is mandatory for the optimum use of the limited vaccine supplies. 32 Many international experimental studies recommended that patients with active cancer are at high risk of SARS-CoV-2 infection and death and should be given priority access to the COVID-19 vaccine. [32] [33] [34] From the study, 18.2% (n = 77) of study participants have been infected with COVID-19, while more than half (55%, n = 224) thought that cancer will not make them more at risk to COVID-19 infection than non-cancer individuals and only 26.3% (n = 111) believe that they are more prone for severe illness/hospitalization if infected by COVID-19. The prevalence of COVID-19 among cancer patients was higher than a study conducted in Norway 35 but lower than from studies in Italy and New York. 10 A study in the chain also revealed that cancer patients have a two-fold risk of contracting COVID-19 when compared to the general population. 36 In relation to the general awareness and opinions of our study participants about the COVID-19 vaccine, surprisingly about 5% (n = 21) of participants do not even know there are vaccines against COVID-19 infection, only one-third (31.9%, n= 135) thought that COVID-19 vaccine is safe in This inadequate knowledge about the COVID-19 vaccine could be due to low educational background, poor socio-economic status, poor information delivery system to cancer patients, not including oncologists in vaccination policymaking, and obtaining information from their peer laymen. 37 Our study result also revealed that, though vaccination of (78), only one-third 30.8% (n = 24) reported that they have received the second round of COVID-19 vaccine and 20.4% (n=11) disclosed that they are not willing to take it. The vaccination percentage and acceptance of our study participants were lower than studies conducted in France (53.7%); 38 Lebanon, where 55% of cancer patients were ready to be vaccinated and only 14.4% refused the vaccine. 37 In another study, 61.8% and 60.3% willingness to receive COVID-19 vaccine were shown in Korean and Polish cancer patients, respectively. 25, 39 Based on a survey conducted in the Ethiopian population, the vaccine acceptance rate was found to be 31.4%, 30 and another study on health care providers found that 63.4% of participants had received the first round of COVID-19 vaccine and 61.6% were willing to receive the second round of COVID-19 vaccine, which was higher than the current study, though the study population was the general population. 29 The main reasons of patients who did not support the first round of vaccination were concern about the safety and side effects of the vaccine (84.4%) followed by hearing rumors that the vaccine may have severe side effects or even cause COVID-19 infection in cancer patients (54.6%), while thoughts that the first round of the vaccine was sufficient (62.9%), and experiencing minor side effects/discomfort during the first dose of the vaccine (35.2%) were the major reasons for refusing the second round of the vaccine. Various factors such as individuals' beliefs about vaccination, physicians' recommendations, socio-demographic and economic factors may affect cancer patients' willingness to get the COVID-19 vaccine. 25, 39 All these findings of the study imply that vaccine coverage among cancer patients is low compared to the general population and the Ethiopian government plan (20% population vaccination), therefore an urgent cancer patientspecific awareness creation campaign about the COVID-19 vaccine is needed to increase COVID-19 vaccine acceptance rates of cancer patients.

In the analysis of associated factors which may increase the likelihood of receiving the COVID-19 vaccine, younger age cancer patients (18-30 years) were 2.7 times more likely to get vaccinated than older age groups, and female cancer patients were 6.4 times more likely to 

Tadele Admasu Dovepress take the vaccine than male patients. In contrast to our findings, studies conducted on cancer patients in France, Poland, and Korea found male cancer patients and older age as positive predictors of accepting the COVID-19 vaccine. 15, 25, 38 However, inconsistent findings were obtained from studies conducted in Ethiopia and UK, 30 but the study subjects were the general population.

The likelihood of receiving the COVID-19 vaccine was 6.9 times higher in those cancer patients who have information about the vaccine than those who do not have such information. A consistent finding was obtained from a study conducted in Ethiopia in the general population. 30 Creating awareness pertinent to a specific group of the population by focusing on their specific needs has been recognized as the most effective method of increasing vaccination acceptance rate 40 and also knowledge could increase individuals' self-confidence and help them gain experience which may ultimately initiate cancer patients to get the vaccine. Cancer patients who experienced either previous or current COVID-19 infection were more likely to get the COVID-19 vaccine, as shown by its 6 times higher odds of association with receiving the vaccine when compared to those patients who had no COVID-19 infection experience. Cancer patients who were with cancer for more than ten years were 6.2 times more likely to receive the COVID-19 vaccine than those patients with the shorter duration with cancer. The likely justification could be due to COVID-19 virus infection experienced and chronic cancer patients may fear and realize the consequences of the disease and might see themselves at risk for the disease and believe in the importance of the vaccine.

Finally, the study also revealed that cancer patients who believe in the likelihood of dying of COVID-19 infection had 3 times higher odds of association with the likelihood of receiving COVID-19 vaccine than those patients who do not believe they might die. Psychological antecedents of cancer patients for the disease and vaccination may have been strongly associated with stronger vaccination confidence, collective responsibility, weaker risk perception, and weaker complacency about COVID-19 vaccination. 41

Despite being the first in type and the robust methodology we employed and the aforementioned findings we reached, the study has the following limitations. Vaccine coverage of other high-risk groups (patients with chronic diseases) was not assessed and comparison was not made, so it is difficult to conclude on the poor vaccine coverage among all high-risk groups. The questionnaire used may not be comprehensive and may fail to grasp all reasons to explain the unwillingness of vaccination in cancer patients. Finally, the study also shares drawbacks of a crosssectional study design as a causal association between the considered factors and likelihood of vaccine acceptance may be difficult to establish.

In the study area, COVID-19 vaccine coverage among cancer patients was poor. Factors such as younger age, females, cancer patients having information about COVID-19 vaccine, COVID-19 infection experience, longer duration with cancer, and fear about the likelihood of dying if infected by COVID-19 were significantly associated with increased likelihood of receiving COVID-19 vaccine among cancer patients.

The poor acceptance and coverage of the COVID-19 vaccine among cancer patients in the study area can be mitigated through the accountable performance of the Ethiopian government, the Ministry of Health, each of the five hospitals, oncologists, and other stakeholders in charge of optimizing the vaccine coverage. Each of the hospitals, oncologists, and health care providers should make an exhaustive investment of their efforts to increase the knowledge, acceptance, and accessibility of the vaccine as early as possible. Oncologists should be involved in the policymaking of COVID-19 vaccine distribution and the Ministry of Health should supervise to ensure reasonable coverage of cancer patients.

All data generated and analyzed during this study are included in the manuscript.

For this study, ethical approval was obtained from the Ethical Review Committee of Debre Tabor University. A formal collaboration letter was provided to all the selected hospitals. Then, verbal consent was obtained from each of the respondents and documented by the data collectors in the participant information sheet. A copy of the documented verbal consent was given to each respondent and confidentiality was maintained by omitting personal identifiers. This study was also conducted following the ethical principles of the Declaration of Helsinki.

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Drug Resistance is an international, peer-reviewed openaccess journal that focuses on the optimal treatment of infection (bacterial, fungal and viral) and the development and institution of preventive strategies to minimize the development and spread of resistance. The journal is specifically concerned with the epidemiology of antibiotic resistance and the mechanisms of resistance development and diffusion in both hospitals and the community. The manuscript management system is completely online and includes a very quick and fair peerreview system

The author would like to acknowledge the study participants for their cooperation and willingness. I also would like to acknowledge Debre Tabor University, College of Medicine and Health Sciences for the arrangement and administrative support of the study. I also would like to thank the data collectors and supervisors.

FT was involved in the initial conceptualization and design of the idea, supervision of the research project, acquisition of data, designing the study, analysis and interpretation of data, write-up of the proposal, and final manuscript writeup and editing. I have agreed to submit to the current journal; gave final approval of the version to be published; and agree to be accountable for all aspects of the work.

No funds were obtained for this particular study.

The author declares that they have no conflicts of interest for this work.