Evidence map›Paper›PMID 36085164›Full record

ArticleScientific reports2022

Determinants of workplace safety towards SARS-Cov-2 and combating COVID-19 among non-healthcare workers in Hong Kong, Nanjing and Wuhan, China.

Lap Ah Tse, Priscilla Ming Yi Lee, Dongming Wang, Yan Li, Shuyuan Yang, Shoulin Wang, Janice Ying Chui Lau, Tangchun Wu, Hongbing Shen, Xiaoming Ji and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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
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.

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

11 authors.

Lap Ah Tse *JC School of Public Health and Primary Care, The Chinese University of Hong Kong, School of Public Health Building, Prince of Wales Hospital, Sha Tin, Hong Kong Special Administrative Region, China. shelly@cuhk.edu.hk.
Priscilla Ming Yi Lee *JC School of Public Health and Primary Care, The Chinese University of Hong Kong, School of Public Health Building, Prince of Wales Hospital, Sha Tin, Hong Kong Special Administrative Region, China.
Dongming Wang *School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Yan Li *School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, 211166, China.
Shuyuan Yang *JC School of Public Health and Primary Care, The Chinese University of Hong Kong, School of Public Health Building, Prince of Wales Hospital, Sha Tin, Hong Kong Special Administrative Region, China.
Shoulin WangSchool of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, 211166, China.
Janice Ying Chui LauStanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Prince of Wales Hospital, Sha Tin, Hong Kong Special Administrative Region, China.
Tangchun WuSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Hongbing ShenSchool of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, 211166, China.
Xiaoming JiSchool of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, 211166, China. xmji@njmu.edu.cn.
Weihong ChenSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. wchen@mails.tjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been no validated tool to assess workplace infection control towards SARS-Cov-2 in non-healthcare industries. In this first year survey during 07/2020-04/2021, 6684 workers were recruited from varied non-healthcare settings of Hong Kong, Nanjing and Wuhan of China and responded standard questionnaires containing information of prevention measures and policies implemented by companies and personal preventive behaviour towards infection control. All participants were randomly stratified into two sub-samples as training and validation sample. Workplace safety index towards SARS-Cov-2 (WSI-SC2) was developed and validated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). We identified 14 manifest variables in WSI-SC2, with three sub-indices named "Workplace infection control measures and prevention", "Company occupational safety and health management and commitment" and "Worker's personal preventive behavior and awareness towards infectious control". WSI-SC2 obtained a good internal consistency reliability (Cronbach's alpha coefficients ranged: 0.76-0.91), good composite reliability (composite reliability ranged: 0.70-0.95) and satisfactory fit of the model (GFI = 0.95; SRMR = 0.05; RMSEA = 0.07). We further performed stratified analysis according to cities, and the index remained stable. Workers with higher scores of WSI-SC2 were more likely to uptake COVID-19 test. This multi-city large study developed a novel and validated tool that could horizontally measure the workplace safety towards SARS-Cov-2 in non-healthcare workers.

Indexed as

COVID-19SARS-CoV-2ChinaCitiesHong KongHumansReproducibility of ResultsWorkplace

Identifiers

PMID36085164
PMCPMC9462604

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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.