Evidence map›Paper›PMID 42010692›Full record

ArticleTrials2026

Effectiveness of nudge and motivational interview interventions to improve influenza vaccine uptake among healthcare workers in China: study protocol for a two-phase randomized trial.

Qian Wang, Qian Hou, Hui Xu, Ruoxin Ma, Zhijie An, Lixin Hao, Zhiyuan Hou, Zundong Yin

Registry-linked trialAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in Trials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07157163 (Effectiveness of Nudge and Motivational Interviewing Interventions to Improve Influenza Vaccination Uptake Among Healthcare Workers in China), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

NCT07157163 nanot yet recruitingnot on this map

Effectiveness of Nudge and Motivational Interviewing Interventions to Improve Influenza Vaccination Uptake Among Healthcare Workers in China: a Two-phase Randomized Controlled Trial

TypeinterventionalSponsorCenters for Disease Control and Prevention, ChinaRan2025 to 2026Enrolled4,050ConditionsInfluenza Vaccine, Healthcare WorkersArmsPhase 1: standardized nudge messages, Phase 1: personalized nudge messages + chatbot, Phase 2: motivational Interviewing
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

8 authors.

Qian Wang *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Qian Hou *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Hui XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Ruoxin MaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Zhijie AnNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.
Lixin HaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China. haolx@chinacdc.cn.ORCID http://orcid.org/0000-0002-9172-1430
Zhiyuan HouSchool of Public Health, Fudan University, Shanghai, China.
Zundong YinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Centre for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeasonal influenza poses a significant public health challenge in China, yet vaccination uptake remains low even among healthcare workers. This study evaluates the effectiveness of multi-component interventions to improve influenza vaccination uptake, aiming to inform targeted public health strategies.

methodsA two-phase randomized controlled trial will be conducted in community hospitals across China targeting healthcare workers as participants. In phase 1, community hospitals will be randomized as units into one of three arms: standard nudge group, personalized nudge group, and control group. In phase 2, healthcare workers who remain unvaccinated after phase 1 will be individually randomized to either a motivational interview group or a control group. The primary outcome is influenza vaccination uptake, verified by official vaccination records. All data will be analyzed upon study completion. DISCUSSION: Nudge and motivational interview interventions are anticipated to significantly improve vaccination uptake among healthcare workers, and facilitate scale up of the effective interventions. By targeting healthcare workers, these interventions can also indirectly enhance vaccination coverage in the general population.

trial registrationClinicalTrials.gov NCT07157163. Registered on September 4, 2025.

Indexed as

Health PersonnelInfluenza, HumanInfluenza VaccinesMotivational InterviewingVaccinationAdherence InterventionsChinaClinical Trials, Phase II as TopicHumansRandomized Controlled Trials as TopicInfluenza VaccinesCommunity hospitalsHealthcare workersInfluenza vaccinationMotivational interviewingNudge theoryRandomized controlled trial

Identifiers

PMID42010692
PMCPMC13224653

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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 Socratic graph.