Evidence map›Paper›PMID 42506642›Full record

ArticleVaccines2026

Influenza Vaccination Willingness, Uptake, and Behavioral Drivers Among Adults Aged ≥60 Years in Henan Province: A BeSD-Based Survey with Registry Follow-Up.

Jun Li, Xinyang Li, Kaichao Yang, Yuxia Yun, Yanyan Yang, Lijun Deng, Zunshui Li, Xiaoyang Wang, Xiaoxiao Zhang, Lubin Shi and 5 more

Abstract read
In one paragraph

Article in Vaccines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jun LiImmunization Prevention and Planning Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.
Xinyang LiHenan Preventive Medicine Institute, Zhengzhou 450016, China.
Kaichao YangImmunization Prevention and Planning Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.
Yuxia YunImmunization Planning Section, Puyang Center for Disease Control and Prevention, Puyang 457000, China.
Yanyan YangXinyang Center for Disease Control and Prevention, Xinyang 464000, China.
Lijun DengImmunization Planning Department, Zhengzhou Center for Disease Control and Prevention, Zhengzhou 450007, China.
Zunshui LiImmunization Planning Department, Sanmenxia Center for Disease Control and Prevention, Sanmenxia 472000, China.
Xiaoyang WangImmunization Prevention and Planning Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.
Xiaoxiao ZhangImmunization Prevention and Planning Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.
Lubin ShiImmunization Prevention and Planning Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.
Binghui DuImmunization Prevention and Planning Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.
Yanfang JiImmunization Prevention and Planning Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.
Yonghao GuoImmunization Prevention and Planning Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.
Yanyang ZhangImmunization Prevention and Planning Department, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.
Shuaiyin ChenSchool of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0001-6129-0310

Funding

Medical Innovation Fund of Peking University-Merck Joint Laboratory of Infectious Disease Prevention and Control Technology 10001202415Priority Disease Prevention and Control Project of Henan CDC Science and Technology Research Program HNCDCZD20250221
6 · The paper itself

Abstract

objectivesTo identify factors influencing influenza vaccination willingness and uptake among adults aged ≥60 years in Henan Province and to evaluate the effect of a brief educational intervention on vaccination willingness and behavior.

methodsIn September 2024, a cross-sectional survey based on the Behavioral and Social Drivers (BeSD) framework was conducted among adults aged ≥60 years across five counties in Henan. For participants without baseline willingness, a 3 min one-on-one educational intervention was delivered. In May 2025, following the end of the 2024-2025 influenza vaccination season (which runs from 1 October to 31 March in Henan Province), we retrieved vaccination records for all participants from the Henan Provincial Immunization Information System. This system captures all influenza vaccinations administered at designated vaccination clinics across the province. To ensure completeness for doses administered outside the provincial system (e.g., in other provinces or at private healthcare facilities), we conducted telephone follow-up interviews with all participants whose baseline vaccination intention was inconsistent with their actual vaccination behavior (i.e., willing but unvaccinated or unwilling but vaccinated). During these interviews, for those who reported receiving the vaccine outside Henan Province or at private facilities, we inquired about the specific date and location of vaccination to supplement the registry data. We also explored the reasons behind the intention-behavior discrepancy. For these participants, we requested vaccination certificates or other supporting documentation to confirm their vaccination status.

resultsBaseline vaccination willingness was 68.20% (1630/2390), whereas the actual vaccination rate was only 6.95% (166/2390), yielding a willingness-to-behavior conversion rate of 9.51% (155/1630) among those with baseline willingness. Of the 760 participants without baseline willingness, 543 (71.45%) completed the 3 min one-on-one instant educational intervention and the follow-up assessment; the remaining 217 were excluded due to refusal or loss to follow-up. Among these 543 completers, 46 (8.47%) became willing to vaccinate, and eight (1.47%) were subsequently vaccinated. Multivariate analysis identified the social processes dimension as the strongest correlate of both willingness (OR = 1.38 per 1-point increase, 95% CI: 1.33-1.44) and uptake (OR = 1.12, 95% CI: 1.03-1.22). Urban residence was associated with higher willingness (OR = 1.41, 95% CI: 1.12-1.78) and higher uptake (OR = 1.64, 95% CI: 1.11-2.42). Current smokers had a significantly lower uptake than never smokers (OR = 0.43, 95% CI: 0.22-0.85). Among the 11 participants without baseline willingness who were eventually vaccinated (eight from the intervention group and three from the non-intervention group), family/friend influence (63.64%, 7/11) and physician recommendation (36.36%, 4/11) were the primary drivers. For those with willingness but no action (

conclusionsInfluenza vaccination among older adults in Henan exhibits a "high willingness, low conversion" pattern, with social processes as the strongest driver bridging the intention-behavior gap. A brief educational intervention improved willingness but failed to translate into meaningful uptake, underscoring that knowledge transfer alone is insufficient. We recommend a multi-component strategy that (1) mobilizes family members and community doctors as trusted vaccine advocates; (2) leverages family and village doctor networks to reduce urban-rural disparities; (3) counters the "perceived good health" barrier with age-specific risk communication; and (4) integrates vaccine recommendations into routine care for high-risk groups, particularly frequent outpatient attendees and smokers.

Indexed as

adults aged ≥60 yearsBehavioral and Social Drivers (BeSD)influenza vaccineinstant educational interventionintention-behavior gapvaccination uptakevaccination willingness

Identifiers

PMID42506642
PMCPMC13419047

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.