Mei Cha

Dr. Mei Cha


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 August 2026 in Frontiers in Public Health
Verified
Journal Article
Open access
PDF file
QTQin Tang
Qin Tang
RHRuixue Hu
Ruixue Hu
MCMei Cha
Mei Cha
QZQin Zhang
Qin Zhang
JCJinyan Chen
Jinyan Chen
YYYuan Yuan
Yuan Yuan
Introduction: This study aimed to investigate the intention-action discrepancy in influenza vaccination and identify factors associated with vaccination behavior among healthcare professionals. Methods: This was a cross-sectional study. An anonymous questionnaire survey was conducted with healthcare professionals at a hospital in Chengdu, China from May to June 2025. Stratified convenience sampling was used. Data concerning respondents’ sociodemographic characteristics, knowledge of influenza and vaccines, and perceptions of and attitudes toward vaccination were collected. The chi-square test was performed for comparisons between intentions and actions. Multivariate logistic regression analysis was performed to analyze the factors associated with healthcare professionals’ vaccination behavior. Results: A total of 570 questionnaires were distributed, and 547 (95.95%) valid responses were collected. Among the 547 healthcare professionals, 316 (57.77%) intended to be vaccinated, and 251 (45.89%) were vaccinated during the previous influenza season. Having the intention to be vaccinated but not being vaccinated during the previous influenza season was considered an intention-action discrepancy. Among the 316 healthcare professionals who intended to be vaccinated, 96 were not vaccinated, indicating an intention-action discrepancy rate of 30.38%. Healthcare professionals who intended to be vaccinated but were not vaccinated accounted for 17.55% (96/547) of the participants finally included in the study. Professional title (odds ratio (OR) = 1.421, 95% confidence interval (CI): 1.079–1.872), hospital department type (OR = 0.467, 95% CI: 0.312–0.698), mastery of knowledge about influenza and vaccines (OR = 1.874, 95% CI: 1.256–2.807), concerns about severe adverse reactions following vaccination (OR = 2.479, 95% CI: 1.646–3.733), opinion on the statement that receiving an influenza vaccine is an effective way to reduce the incidence of severe influenza (OR = 0.427, 95% CI: 0.214–0.852), and awareness of the hospital’s free or convenient vaccination services (OR = 0.217, 95% CI: 0.126–0.374) were major factors associated with healthcare professionals’ vaccination behavior (all p < 0.05). Conclusion: A s trong intention to be vaccinated and a low vaccination rate were observed among healthcare professionals, indicating an intention-action discrepancy. It is advisable to strengthen targeted health education and optimize vaccination services to promote the transformation of intention into action in influenza vaccination among healthcare professionals.

14 December 2025 in Health Science Reports
Verified
Journal Article
Open access
MCMei Cha
Mei Cha
QZQin Zhang
Qin Zhang
LYLinlin Yu
Linlin Yu
HWHairong Wang
Hairong Wang
ELErdan Luo
Erdan Luo
YLYonghong Lin
Yonghong Lin
Background and Objective: DeepSeek LLM, launched on January 5, 2024, integrates natural language processing, data analytics, and medical picture analysis. The use of it among frontline healthcare personnel in Western China has not been previously examined. This study evaluates Chengdu clinicians' knowledge, attitudes, and usage habits on DeepSeek while identifying significant impacting factors. Methods: A WeChat‐based survey was administered to physicians, nurses, medical technicians, and administrative personnel at two tertiary maternity and pediatric hospitals in Chengdu from February 24 to 26, 2025. The gathered data encompassed demographics, educational attainment, job designation, familiarity with DeepSeek, frequency of use, openness to training, and preferred functionalities. Of the 865 distributed questionnaires, 788 valid replies (91.10%) were analyzed using SPSS 25. Group disparities were analyzed using chi‐square tests, and forward likelihood‐ratio logistic regression determined predictors of awareness, utilization, and willingness to undergo training ( p < 0.05). Results: A total of 94.2% of participants indicated awareness of DeepSeek, predominantly via media sources (83.65%) and peer endorsements (49.53%). Usage was indicated by 76.14% of respondents, comprising 98.6% of physicians and 89.61% of individuals with a master's degree or higher. The desire to train attained 87.44%, with predominant preferences for hands‐on practice (99.4%), a platform overview (93.1%), and case study talks (90.4%). Univariate analyses revealed substantial disparities in awareness, utilization, and training interest based on education level, job title, and job type ( p < 0.05). Logistic analysis indicated that possessing a master's degree or higher significantly enhanced the likelihood of awareness (OR: 8.36; 95% CI: 1.13–61.87; p < 0.05). Clinicians aged 51 and older exhibited a reduced likelihood of utilizing DeepSeek (OR: 0.29; 95% CI: 0.13–0.64; p < 0.05). Individuals with mid‐level professional titles demonstrated increased utilization (OR: 4.08; p < 0.001) and a greater readiness to undergo training (OR: 13.26; p < 0.001), while those holding a bachelor's degree showed a reduced inclination to engage in training (OR: 0.47; p < 0.05). Conclusion: There were substantial deficiencies in the awareness and utilization of DeepSeek among healthcare professionals in Chengdu. Educational attainment, professional status, and occupation significantly influence outcomes. Customized training and assistance are essential to facilitate wider and more successful implementation.