Evidence map›Paper›PMID 39069625›Full record

ArticleBMC public health2024

Assessing self-reported public health emergency competencies for civil aviation personnel in China: a pilot study.

Zuokun Liu, Yixin Li, Zhuo Li, Jingya Dong, Huan Yu, Hui Yin

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Zuokun LiuDepartment of Global Health, School of Public Health, Peking University Health Science Center, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.
Yixin LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, 100191, China.
Zhuo LiInstitute of Area Studies, Peking University, Beijing, 100871, China.
Jingya DongDepartment of Global Health, School of Public Health, Peking University Health Science Center, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China.
Huan YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, 100191, China.
Hui YinDepartment of Global Health, School of Public Health, Peking University Health Science Center, 38 Xue Yuan Road, Haidian District, Beijing, 100191, China. yinhui@pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCOVID-19 has demonstrated the importance of competent staff with expertise in public health emergency preparedness and response in the civil aviation system. The civil aviation system is a critical sentinel and checkpoint to prevent imported cases and slow the spread of communicable diseases. Understanding the current competencies of staff to deal with public health emergencies will help government agencies develop targeted training and evidence-based policies to improve their public health preparedness and response capabilities.

methodsThis cross-sectional pilot study was conducted from November 2022 to October 2023, involving 118 staff members from various positions within China's civil aviation system. A 59-item questionnaire was translated and developed according to a competency profile. Data were collected using the self-report questionnaire to measure the workforce's self-perceptions of knowledge and skills associated with public health emergency proficiency, categorized into (1) general competency, (2) preparedness competency, (3) response competency, and (4) recovery competency. KMO & Bartlett test and Cronbach's α reliability analysis were used to test the reliability and validity of the questionnaire. Descriptive statistics, independent sample T-test, ANOVA, and linear regression models were performed to analyze the competencies.

resultsA total of 107 staff members from the aviation system were surveyed in this study. The KMO & Bartlett test, (KMO = 0.919, P < 0.001) and Cronbach's α coefficients (α = 0.985) for this questionnaire were acceptable. The results suggested that respondents scored a mean of 6.48 out of 9 for the single question. However, the staff needed to acquire more knowledge in investigating epidemic information (5.92) and case managing (5.91) in the response stage. Overall, males scored higher (409.05 ± 81.39) than females (367.99 ± 84.97), with scores in the medical department (445.67 ± 72.01) higher than management (387.00 ± 70.87) and general department (362.32 ± 86.93). Additionally, those with completely subjective evaluation (425.79 ± 88.10) scored higher than the general group (374.39 ± 79.91). To predict the total score, female medical workers were more likely to have lower scores (β = -34.5, P = 0.041). Compared with those in the medical department, the management workers (β = -65.54, P = 0.008) and general workers (β = -78.06, P < 0.001) were associated with a lower total score.

conclusionsThere was still a gap between the public health emergency competencies of the civil aviation system and the demand. Staff in China's civil aviation systems demonstrated overall competence in public health emergency preparedness and response. However, there was a need to enhance the accumulation of practical experience. Implementing effective training programs for public health emergencies was recommended to mitigate knowledge gaps. Meanwhile, regular training evaluations were also recommended to give comprehensive feedback on the value of the training programs.

Indexed as

COVID-19Self ReportAdultAviationChinaCivil DefenseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPilot ProjectsProfessional CompetencePublic HealthReproducibility of ResultsSurveys and QuestionnairesAviationCompetencyPreparednessPublic health emergencyResponse

Identifiers

PMID39069625
PMCPMC11285116

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.