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Effectiveness of information interventions based on the social processes framework on influenza vaccination acceptance among adults aged 18 years and older
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Tong ZHOU1, Shiyi TU1, Liubing GONG2, Cuilin XU3, Enmao CAI4, Zhiqiang QU1, Zhiyuan HOU1
Chinese Journal of Public Health | 2025, 41(9) : 1042 - 1047
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Chinese Journal of Public Health | 2025, 41(9): 1042-1047
• Special Report — Influenza Prevention and Health Protection •
Effectiveness of information interventions based on the social processes framework on influenza vaccination acceptance among adults aged 18 years and older
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Tong ZHOU1, Shiyi TU1, Liubing GONG2, Cuilin XU3, Enmao CAI4, Zhiqiang QU1, Zhiyuan HOU1
Affiliations
  • 1NHC Key Lab of Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200032, China
  • 2Chizhou Center for Disease Control and Prevention, Chizhou 247100, China
  • 3Yuhuatai District Center for Disease Control and Prevention, Nanjing 210012, China
  • 4Changning District Center for Disease Control and Prevention, Shanghai 200051, China
Published: 2025-09-10 doi: 10.11847/zgggws1145564
Outline
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Objective

To evaluate the effectiveness of information interventions based on the social processes framework in promoting influenza vaccination acceptance among adults aged 18 years and older, and to explore the factors influencing the effectiveness of these interventions.

Methods

Between January 29 and February 4, 2021, an online survey was conducted among 3 345 adults aged 18 years and above in Guichi district, Chizhou city; Yuhuatai district, Nanjing city; and Changning district, Shanghai city. The survey collected data on sociodemographic characteristics, self-rated health status, perceived susceptibility to and severity of influenza, influenza vaccine awareness, and influenza vaccination history for the 2019–2020 and 2020–2021 influenza seasons. Participants were also exposed to an embedded, framework-based intervention containing information about influenza, and their intention to receive influenza vaccine in the next season was measured both before and after the intervention. McNemar-Bower tests and binary logistic regression were used to analyze the intervention′s effect and its factors.

Results

Of the 3 345 participants, 89.30% rated their health as good; 15.81% perceived high susceptibility to influenza; 64.16% perceived influenza as a serious threat; 55.46% reported awareness of influenza vaccines; and 15.67% reported having received an influenza vaccine in the past two seasons. At the individual level, there was a statistically significant difference in the distribution of vaccination intentions before and after the intervention (P<0.01). At the population level, the proportion of adult participants willing to be vaccinated in the next influenza season increased from 40.93% to 63.38% after the intervention. Binary logistic stepwise regression analysis showed that residing in Chizhou city, being female, having an annual household income of 60 000 RMB or above, lower perceived susceptibility to influenza, lower influenza vaccine awareness, and no history of influenza vaccination were associated with increased acceptance to receive influenza vaccines after the intervention (P<0.05).

Conclusions

Information interventions based on the social processes framework can significantly improve influenza vaccination acceptance among adults. City of residence, sex, annual household income, perceived susceptibility to influenza, influenza vaccine awareness, and influenza vaccination history are factors influencing the effectiveness of these interventions.

influenza vaccine  /  vaccine hesitancy  /  social processes  /  vaccination acceptance  /  adults
周通, 涂诗意, 巩六兵, 徐翠林, 蔡恩茂, 瞿志强, 侯志远. 基于社会过程框架信息干预对≥18岁成年人流感疫苗接种意愿影响. 中国公共卫生, 2025 , 41 (9) : 1042 -1047 . DOI: 10.11847/zgggws1145564
Tong ZHOU, Shiyi TU, Liubing GONG, Cuilin XU, Enmao CAI, Zhiqiang QU, Zhiyuan HOU. Effectiveness of information interventions based on the social processes framework on influenza vaccination acceptance among adults aged 18 years and older[J]. Chinese Journal of Public Health, 2025 , 41 (9) : 1042 -1047 . DOI: 10.11847/zgggws1145564
Year 2025 volume 41 Issue 9
94
39
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Article Info
doi: 10.11847/zgggws1145564
  • Receive Date:2024-07-29
  • Online Date:2026-10-25
  • Published:2025-09-10
Article Data
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History
  • Received:2024-07-29
  • Revised:2024-11-24
  • Accepted:2025-04-11
Affiliations
    1NHC Key Lab of Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200032, China
    2Chizhou Center for Disease Control and Prevention, Chizhou 247100, China
    3Yuhuatai District Center for Disease Control and Prevention, Nanjing 210012, China
    4Changning District Center for Disease Control and Prevention, Shanghai 200051, China

Corresponding:

HOU Zhiyuan, E-mail:
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