| Literature DB >> 36203693 |
Sigui Long1,2, Jingying Wu1,2, Shile Wang1,2, Yaqi Zhao1,2, Jianli Wang1,2, Shuangyu Zhao1,2, Qing Niu1,2, Hui Jin1,2.
Abstract
Introduction: There is an urgent need to address vaccine hesitancy to achieve booster vaccination. This study aimed to reveal the factors associated with vaccine hesitancy (including COVID-19 vaccine) among Chinese residents, address modifications of the factors since the previous year, and propose vaccination rate improvement measures. Materials and methods: This qualitative return visit study was performed between January and mid-February 2022, following the last interview conducted between February and March 2021. According to an outline designed in advance, 60 Chinese residents from 12 provinces participated in semi-structured interviews.Entities:
Keywords: China; influential factor; qualitative study; return visit; vaccine hesitancy
Mesh:
Substances:
Year: 2022 PMID: 36203693 PMCID: PMC9530596 DOI: 10.3389/fpubh.2022.929407
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Demographic characteristics of the study participants (N = 60).
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| Male | 0 (0.0) | 13 (50.0) | 6 (50.0) | 4 (28.6) | 23 (38.3) |
| Female | 8 (100.0) | 13 (50.0) | 6 (50.0) | 10 (71.4) | 37 (61.7) |
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| 3–5 | 2 (25.0) | 5 (19.2) | 1 (8.3) | 3 (21.4) | 11 (18.3) |
| 5–8 | 3 (37.5) | 11 (42.3) | 0 (0.0) | 3 (21.4) | 17 (28.3) |
| >8 | 3 (37.5) | 10 (38.5) | 11 (91.7) | 8 (57.1) | 32 (53.3) |
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| Junior high school | 0 (0.0) | 3 (11.5) | 4 (33.3) | 0 (0.0) | 7 (11.7) |
| High school graduate or equivalent | 0 (0.0) | 3 (11.5) | 3 (25.0) | 3 (21.4) | 9 (15.0) |
| College or equivalent | 8 (100.0) | 18 (69.2) | 5 (41.7) | 10 (71.4) | 41 (68.3) |
| Master's diploma or above | 0 (0.0) | 2 (7.7) | 0 (0.0) | 1 (7.1) | 3 (5.0) |
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| <5 | 1 (12.5) | 5 (19.2) | 1 (8.3) | 1 (7.1) | 8 (13.3) |
| 5–10 | 1 (12.5) | 9 (34.6) | 5 (41.7) | 5 (35.7) | 20 (33.3) |
| 11–15 | 4 (50.0) | 6 (23.1) | 2 (16.7) | 2 (14.3) | 14 (23.3) |
| >16 | 2 (25.0) | 6 (23.1) | 4 (33.3) | 6 (42.9) | 18 (30.0) |
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| Government agencies and institutions | 5 (19.2) | 0 (0.0) | 6 (42.9) | 11 (21.2) | |
| Business/enterprise | 2 (7.7) | 1 (8.3) | 3 (21.4) | 6 (11.5) | |
| Production staff/worker | 0 (0.0) | 1 (8.3) | 1 (7.1) | 2 (3.8) | |
| Full-time student | 14 (53.8) | 0 (0.0) | 0 (0.0) | 14 (26.9) | |
| Soldier | 1 (3.8) | 1 (8.3) | 0 (0.0) | 2 (3.8) | |
| Retired | 0 (0.0) | 9 (75.0) | 0 (0.0) | 9 (17.3) | |
| Else | 4 (15.4) | 0 (0.0) | 4 (28.6) | 8 (15.4) | |
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| 1 | 9 (64.3) | 9 (64.3) | |||
| 2 | 5 (35.7) | 5 (35.7) | |||
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| Yes | 6 (42.9) | 6 (42.9) | |||
| No | 8 (57.1) | 8 (57.1) | |||
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| 8 (13.3) | 26 (43.3) | 12 (20.0) | 14 (23.3) | 60 (100.0) |
Figure 1Top 10 factors influencing vaccine hesitancy in 2022. Respondents gave more than one response, so totals do not equal 100. CDC, Center for Disease Control and Prevention.
Figure 2Frequency distribution of factors influencing vaccine hesitancy of four population groups (A) and areas with various per capita gross domestic product (GDP) of 2021 (B).