Evidence map›Paper›PMID 39213137›Full record

ArticleJMIR public health and surveillance2024

Changes in Infectious Disease-Specific Health Literacy in the Post-COVID-19 Pandemic Period: Two-Round Cross-Sectional Survey Study.

Yusui Zhao, Yue Xu, Dingming Yao, Qingqing Wu, Heni Chen, Xiujing Hu, Yu Huang, Xuehai Zhang

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

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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.

Yusui ZhaoZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0001-5434-5299
Yue XuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0001-8553-3444
Dingming YaoZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0002-8530-0146
Qingqing WuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0003-1513-3191
Heni ChenZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0009-0002-2057-2201
Xiujing HuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0009-0003-8981-2477
Yu HuangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0003-4535-4331
Xuehai ZhangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0001-7015-9277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infectious disease-specific health literacy (IDSHL) is a crucial factor in the development of infectious diseases. It plays a significant role not only in mitigating the resurgence of infectious diseases but also in effectively averting the emergence of novel infections such as COVID-19. During the 3 years of the COVID-19 pandemic, China primarily adopted nonpharmaceutical interventions, advocating for people to avoid crowded places and wear masks to prevent the spread of COVID-19. Consequently, there has been a dearth of research concerning IDSHL and its corresponding focal points for health education. Objective: This study aimed to (1) evaluate the changes in IDSHL scores between 2019 (before the COVID-19 pandemic) and 2022 (the postepidemic period of COVID-19) and (2) explore the risk factors affecting IDSHL using a multivariate logistic regression analysis. Methods: This study used 2-round cross-sectional surveys, conducted in 2019 and 2022, respectively, in 30 counties in Zhejiang Province, China. Multiple-stage stratified random sampling was used to select households, and a Kish grid was used to identify participants. An identical standardized questionnaire consisting of 12 closed-ended questions was used to measure IDSHL scores before and after the COVID-19 pandemic (2019 and 2022). Standard descriptive statistics, chi-square tests, t tests, and multivariate logistic regression analyses were used to analyze the data. Results: The 2-round cross-sectional surveys conducted in 2019 and 2022 yielded, out of 19,366 and 19,221 total questionnaires, 19,257 (99.44% response rate) and 18,857 (98.11% response rate) valid questionnaires, respectively. The correct response rate for the respiratory infectious diseases question "When coughing or sneezing, which of the following is correct?" increased from 29.10% in 2019 to 37.92% in 2022 (χ²1=332.625; P<.001). The correct response rate for the nonrespiratory infectious diseases question "In which of the following ways can hepatitis B be transmitted to others?" decreased from 64.28% to 59.67% (χ²1=86.059; P<.001). In terms of IDSHL scores, a comparison between 2022 and 2019 revealed notable statistical differences in the overall scores (t1=10.829; P<.001) and across the 3 dimensions of knowledge (t1=8.840; P<.001), behavior (t1=16.170; P<.001), and skills (t1=9.115; P<.001). With regard to the questions, all but 4 exhibited statistical differences (P<.001). Multivariate logistic regression analyses indicated that the 2022 year group had a higher likelihood of possessing acquired IDSHL than the 2019 group (odds ratio 1.323, 95% CI 1.264-1.385; P<.001). Conclusions: When conducting health education, it is imperative to enhance efforts in nonrespiratory infectious disease health education, as well as respiratory infectious diseases such as COVID-19. Health education interventions should prioritize ethnic minority populations with a poor self-health status and low education.

Indexed as

COVID-19Health LiteracyAdolescentAdultChinaCommunicable DiseasesCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsSurveys and QuestionnairesYoung AdultCOVID-19factorshealth educationinfectious disease–specific health literacypostpandemicsurvey

Identifiers

PMID39213137
PMCPMC11378864

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.