A study on the willingness and influencing factors of non-EPI vaccines recommendations among Chinese vaccination staff under major infectious disease outbreaks

WHO had warned of the impending "X disease," emphasizing the need to quickly establish an immune barrier. The willingness of vaccination staff to recommend vaccines was crucial in such scenarios. This study aimed to investigate willingness and influencing factors of Non-EPI Vaccines recommendations among Chinese vaccination staff in Hangzhou, China. We selected vaccination staff in 191 vaccination clinics from Hangzhou for a questionnaire-based survey using a cross-sectional survey. Descriptive statistics were made on the characteristics of participants. Univariate and multivariable analyses were used to determine the influencing factors of Non-EPI Vaccines recommendations. The overall recommendation rate was 76.2%. Compared to Supplementary and Individual Non-EPI Vaccines, vaccination staff were more willing to recommend Alternative (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msup><mml:mi>x</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:mrow></mml:math> = 215.655, <i>P</i> < 0.05) and Combined Non-EPI Vaccines (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msup><mml:mi>x</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:mrow></mml:math> = 214.998, <i>P</i> < 0.05). Multivariate logistic regression analysis showed that vaccination staff who did not participate in COVID-19 vaccination work (OR = 2.942, 95%CI:1.121 ~ 9.302), believe they had an obligation to recommend Non-EPI Vaccines (OR <sub>disagree</sub> = 7.957, 95%CI:1.238 ~ 87.69; OR <sub>neutrality</sub> = 4.187, 95%CI:1.66 ~ 10.563), and think that the effects of non-routine immunization vaccines were very good (OR <sub>disagree</sub> = 3.133, 95%CI:1.677 ~ 14.495; OR <sub>neutrality</sub> = 2.512, 95%CI:1.164 ~ 5.418) were more willing to recommend Non-EPI Vaccines. On the contrary, vaccination staff who believe that recommending Non-EPI vaccines increased their workload (OR <sub>disagree</sub> = 0.307, 95%CI:0.11 ~ 0.856; OR <sub>neutrality</sub> = 0.642, 95%CI:0.258 ~ 0.986) would decrease willingness to recommend them. The most of vaccination staff were willing to recommend non-EPI vaccines under major infectious disease outbreaks. To further control the pandemic of major infectious diseases, the health management departments should enhance the knowledge of vaccines among vaccination staff and alleviate their workload.

Authors

Institutions

Publication Details

Journal
Human Vaccines & Immunotherapeutics
Published
2025-02-26
DOI
https://doi.org/10.1080/21645515.2025.2469987
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A study on the willingness and influencing factors of non-EPI vaccines recommendations among Chinese vaccination staff under major infectious disease outbreaks

Xinren Che, Zhaojun Lu, Yingying Yang, Wenwen Gu et al.
Human Vaccines & Immunotherapeutics
Vaccine Coverage and Hesitancy
article

A study on the willingness and influencing factors of non-EPI vaccines recommendations among Chinese vaccination staff under major infectious disease outbreaks

Xinren Che, Zhaojun Lu, Yingying Yang, Wenwen Gu, Yuyang Xu, Yan Liu, Jian Du, Qixin Xie, Jiayin Han
article en

Abstract

WHO had warned of the impending "X disease," emphasizing the need to quickly establish an immune barrier. The willingness of vaccination staff to recommend vaccines was crucial in such scenarios. This study aimed to investigate willingness and influencing factors of Non-EPI Vaccines recommendations among Chinese vaccination staff in Hangzhou, China. We selected vaccination staff in 191 vaccination clinics from Hangzhou for a questionnaire-based survey using a cross-sectional survey. Descriptive statistics were made on the characteristics of participants. Univariate and multivariable analyses were used to determine the influencing factors of Non-EPI Vaccines recommendations. The overall recommendation rate was 76.2%. Compared to Supplementary and Individual Non-EPI Vaccines, vaccination staff were more willing to recommend Alternative (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msup><mml:mi>x</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:mrow></mml:math> = 215.655, <i>P</i> < 0.05) and Combined Non-EPI Vaccines (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msup><mml:mi>x</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:mrow></mml:math> = 214.998, <i>P</i> < 0.05). Multivariate logistic regression analysis showed that vaccination staff who did not participate in COVID-19 vaccination work (OR = 2.942, 95%CI:1.121 ~ 9.302), believe they had an obligation to recommend Non-EPI Vaccines (OR <sub>disagree</sub> = 7.957, 95%CI:1.238 ~ 87.69; OR <sub>neutrality</sub> = 4.187, 95%CI:1.66 ~ 10.563), and think that the effects of non-routine immunization vaccines were very good (OR <sub>disagree</sub> = 3.133, 95%CI:1.677 ~ 14.495; OR <sub>neutrality</sub> = 2.512, 95%CI:1.164 ~ 5.418) were more willing to recommend Non-EPI Vaccines. On the contrary, vaccination staff who believe that recommending Non-EPI vaccines increased their workload (OR <sub>disagree</sub> = 0.307, 95%CI:0.11 ~ 0.856; OR <sub>neutrality</sub> = 0.642, 95%CI:0.258 ~ 0.986) would decrease willingness to recommend them. The most of vaccination staff were willing to recommend non-EPI vaccines under major infectious disease outbreaks. To further control the pandemic of major infectious diseases, the health management departments should enhance the knowledge of vaccines among vaccination staff and alleviate their workload.

Human Vaccines & ImmunotherapeuticsVol. 21(1)
Hangzhou Center for Disease Control and Prevention (CN)
Openalex Percentile: Top 95%
Vaccine Coverage and Hesitancy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.