A systematic review and meta-analysis of the factors associating the willingness of Chinese community residents to receive COVID-19 vaccine

Abstract

Background: Amid the coronavirus disease of 2019 (COVID-19) pandemic, China's vaccination campaign is progressing in an orderly manner. In the process of vaccination, the vaccination rates in different parts of China are different, and the factors affecting people's vaccination are also different, which may be caused by some reasons affecting people's willingness to vaccinate or complex sociodemographic characteristics factors.We found that inconsistent findings on factors associated with willingness to get COVID-19 vaccination in available studies. Therefore, we conducted a meta-analysis of current factors influencing people's willingness to receive COVID-19 vaccination to assess the associated factors influencing people's COVID-19 vaccination. Methods: The databases of CNKI, Chinese Biomedical Literature (CBM), Wanfang, VIP, PubMed, Web of Science, and Cochrane Library were searched by computer to collect the relevant literature on the factors affecting the willingness of Chinese community residents to undergo COVID-19 vaccination. After extracting the data, RevMan 5.3 and R software were used for statistical analysis. Population included in the study were Chinese community residents; outcome indicators were associated factors of willingness to get COVID-19 vaccination; COVID-19, odds ratio (OR), confidence interval (CI). Study designs were Crosssectional study. Egger's tests was used to check potential publication bias. Results:The willingness to get COVID-19 vaccination of community residents who think COVID-19 vaccine is effective is 4.10 times that of community residents who think COVID-19 vaccine is ineffective (OR =4.10, 95% CI: 3.08-5.46), and community residents who think COVID-19 vaccine is safe are 1.82 times more willing to receive COVID-19 vaccine than those who think COVID-19 vaccine is unsafe (OR =1.82, 95% CI:1.42-2.33); the willingness to get COVID-19 vaccination of community residents who think COVID-19 infection risk is high was 1.53 times that of community residents who think COVID-19 infection risk is low (OR =1.53, 95% CI: 1.43-1.64); the willingness of male community residents to vaccinate COVID-19 is 1.48 times higher than that of female community residents (OR =1.48, 95% CI: 1.23-1.76). Conclusions:The finding means that vaccination strategies need to be formulated according to the gender of community residents, propaganda of vaccination information, and dissemination of epidemic information to achieve higher levels of COVID-19 vaccination.

Are People Willing to Take Regular COVID-19 Vaccines? Prevalence and Determinants of Hesitancy for Regular COVID-19 Vaccination: A Random Population-Based Survey in Hong Kong

“…Multivariate regression results demonstrated that gender was an independent determinant of regular COVID-19 vaccine hesitancy with females more likely to be hesitant. Although gender was not identified as a significant predictor of hesitancy in existing studies on regular COVID-19 vaccination [ 5 , 16 , 17 ], our finding aligned with previous studies on basal or booster doses of vaccines [ 14 , 39 , 40 ]. Particular concerns from females on COVID-19 vaccines include pregnancy, breastfeeding, and the long-term effects that vaccines may have on offspring [ 39 ].…”

First booster dose uptake of COVID-19 vaccine and disease-related factors in chronic obstructive pulmonary disease—a cross-sectional survey in Hungary

“…A recently published meta-analysis described an association between people's gender, place of residence, sociodemographic characteristics and their willingness to be vaccinated against . This study showed that Chinese men are 1.48 times more likely to be vaccinated against COVID-19 than women are (17). No similar study specifically for COPD patients was found in the international and national literature, the uptake of the first booster vaccine COVID-19 among COPD patients in Hungary and its related factors have not been investigated yet.…”

“…16 [11][12][13][14][15][16][17][18][19][20][21] vs. 14 [10-19], P<0.001, modified Medical Research Council (mMRC) dyspnea scale: 2 [2-2] vs. 2 [1-2], P=0.01 and in the number of moderate exacerbations: 1 [0-1] vs. 0 [0-1], P=0.04. In addition, who did not take the third vaccination significantly more people were hospitalized for acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (16 vs. 0, P<0.001) and almost the same proportion (n=14) required pulmonary outpatient rehabilitation for post-COVID symptoms.…”

“…Among the comorbidities the presence of hypertension (P=0.04) and acute myocardial infarction (MI) (P=0.008) were significantly associated with first booster vaccine uptake (Table 2). The quality of life: CAT: 16 [11][12][13][14][15][16][17][18][19][20][21] vs. 14 [10][11][12][13][14][15][16][17][18][19], P <0.001, mMRC dyspnoea scale points: 2 [2-2] vs. 2 [1-2], P=0.01, the severity of the disease (GOLD stage) and the number of moderate exacerbations in the previous year: 1 [0-1] vs. 0 [0-1], P=0.04 were also significantly associated with the uptake of the 3rd COVID-19 vaccination (Table 1). None of the three vaccine recipients had developed COVID-19 acute infection, while 11.46% of those who did not receive the first booster vaccination developed one (P<0.001).…”

“…The uptake rate of the COVID-19 first booster vaccine during the study period was 62.45%. Comparing patients who received the 3rd vaccine with those who did not receive the 3rd vaccine, the difference was significant in quality of life: COPD Assessment Test (CAT):16 [11][12][13][14][15][16][17][18][19][20][21] vs. 14 [10-19], P<0.001, modified Medical Research Council (mMRC) dyspnea scale: 2 [2-2] vs. 2 [1-2], P=0.01 and in the number of moderate exacerbations: 1 [0-1] vs. 0 [0-1], P=0.04. In addition, who did not take the third vaccination significantly more people were hospitalized for acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (16 vs. 0, P<0.001) and almost the same proportion (n=14) required pulmonary outpatient rehabilitation for post-COVID symptoms.…”