%A Jing Hong, Xiao-wan Xu, Jing Yang, Jing Zheng, Shu-mei Dai, Ju Zhou, Qing-mei Zhang, Yi Ruan, Chang-quan Ling %T Knowledge about, attitude and acceptance towards, and predictors of intention to receive the COVID-19 vaccine among cancer patients in Eastern China: A cross-sectional survey %0 Journal Article %D 2022 %J Journal of Integrative Medicine %R 10.1016/j.joim.2021.10.004 %P 34-44 %V 20 %N 1 %U {http://www.jcimjournal.com/CN/abstract/article_12446.shtml} %8 2022-01-12 %X Objective
The coronavirus disease 2019 (COVID-19) pandemic has had a serious impact on health all over the world. Cancer patient, whose immunity is often compromised, faces a huge challenge. Currently, some COVID-19 vaccines are being developed and applied on general population; however, whether cancer patients should take COVID-19 vaccine remains unknown. Our study aimed to explore the knowledge, attitude, acceptance, and predictors of intention to receive the COVID-19 vaccine among cancer patients in Eastern China.

Methods
A cross-sectional study was conducted in Eastern China from June 17th to September 3rd, 2021. Patients were selected using a convenience sampling method. A self-report questionnaire was developed to assess knowledge about the COVID-19 vaccine, attitude towards the vaccine and acceptance of the vaccine; following a review of similar studies previously published in the scientific literature, multivariate logistic regression analysis was used to determine the predictors associated with COVID-19 vaccine acceptance.

Results
A total of 2158 cancer patients were enrolled in this study. The rate of vaccine hesitancy was 24.05% (519/2158); further, among the participants of vaccine acceptance, 767 had taken COVID-19 vaccine (35.54%), and 872 were willing to get vaccinated (40.01%). A total of 24 variables including demographic characteristics, clinical status of cancer, impact of COVID-19 pandemic on study participants, patients’ knowledge about the COVID-19 vaccine, and attitude towards the vaccine, had significant differences between the “vaccine hesitancy” population and “vaccine acceptance” population. Multivariate logistic regression analysis indicated that parameters including alcohol consumption (odds ratio [OR] = 1.849; 95% confidence interval [CI]: 1.375–2.488; P-Ref < 0.001 vs non-drinkers), income impacted by COVID-19 pandemic (OR = 1.930, 2.037 and 2.688 for mild, moderate, and severe impact, respectively; all P-Ref < 0.01 vs no impact), knowledge of how the vaccine was developed (OR = 1.616; 95% CI: 1.126–2.318; P-Ref = 0.009 vs unknown), believing in the safety of the vaccine (OR = 1.502; 95% CI: 1.024–2.203; P-Ref = 0.038 vs denying the safety of vaccine), willingness to pay for the vaccine (OR = 3.042; 95% CI: 2.376–3.894; P-Ref < 0.001 vs unwilling), and willingness to recommend families and friends to get vaccinated (OR = 2.744; 95% CI: 1.759–4.280; P-Ref < 0.001 vs do not recommend) were contributors to vaccine acceptance. While such as being retired (OR = 0.586; 95% CI: 0.438–0.784; P-Ref < 0.001 vs unemployed), undergoing multiple therapies of cancer (OR = 0.408; 95% CI: 0.221–0.753; P-Ref = 0.004 vs no ongoing treatment), and worrying that the vaccine might deteriorate the prognosis of cancer (OR = 0.393; 95% CI: 0.307–0.504; P-Ref < 0.001 vs might not) were contributors to vaccine hesitancy.

Conclusion
This study provided preliminary estimates of the rates of vaccine acceptance and vaccine hesitancy among cancer patients in Eastern China. The intention to receive the COVID-19 vaccine was impacted by factors such as patient occupation, alcohol consumption, and some parts of knowledge about and attitude towards COVID-19 vaccine. It is recommended to develop individualized vaccination plans that meet the healthcare needs of cancer patients.