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Development and validation of a multi-lingual online questionnaire for surveying the COVID-19 prevention and control measures used in global workplaces
Safety and Health at Work ; 13:S166, 2022.
Article in English | EMBASE | ID: covidwho-1677031
ABSTRACT

Introduction:

There is an ongoing need for targeted disease prevention and control efforts in high-risk occupational settings. This study aimed to develop, pilot, and validate an instrument for surveying occupational COVID-19 infection prevention and control (IPC) measures available to the global workforce. Material and

Methods:

A 44-item QualtricsXM survey was developed, translated, and validated for face, content, and cross-cultural validity according to literature review, expert consultation, and pre-testing. The survey was piloted with 890 workers from diverse industries and countries. Exploratory factor analysis (EFA) was conducted, and internal consistency reliability verified with Cronbach’s alpha. Hypothesis testing and Pearson correlation coefficients verified construct validity (i.e., known-groups technique, discriminant validity), and criterion validity.

Results:

EFA revealed nine key IPC domains relating to environmental adjustments, testing and surveillance, education, costs incurred, restricted movements, physical distancing, masking, isolation strategies, and areas for improvement. Each domain showed sufficient internal consistency reliability (Cronbach’s alpha ≥ 0.60). Hypothesis testing confirmed construct validity (p < 0.001), criterion validity (p ≤ 0.03), and discriminant validity (r = -0.45).

Conclusions:

The occupational IPC measures survey showed strong validity and reliability. It can be used by decision makers in the distribution of IPC resources, and to guide occupational health and safety (OSH) recommendations for preventing COVID-19 and future infectious disease outbreaks.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Observational study / Prognostic study Language: English Journal: Safety and Health at Work Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Observational study / Prognostic study Language: English Journal: Safety and Health at Work Year: 2022 Document Type: Article