Evidence map›Paper›PMID 41852717›Full record

ArticleBMJ public health2026

COVID-19 workplace adaptation in Ireland: the development and validation of a quantitative survey.

Yanbing Chen, Carolyn Ingram, Penpatra Sripaiboonkij, Elizabeth Alvarez, Carla Perrotta, Conor Buggy

Abstract read
In one paragraph

Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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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

6 authors.

Yanbing ChenCollege of Aviation, Embry-Riddle Aeronautical University, Daytona Beach, Florida, USA.ORCID 0000-0002-3093-2904
Carolyn IngramSchool of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
Penpatra SripaiboonkijSchool of Public Health, Physiotherapy and Sports Science; Centre for Safety and Health at Work, University College Dublin, Dublin, Ireland.
Elizabeth AlvarezDepartment of Health Research Methods, Evidence and Impact (HEI), McMaster University, Hamilton, Ontario, Canada.
Carla PerrottaSchool of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.
Conor BuggySchool of Public Health, Physiotherapy and Sports Science; Centre for Safety and Health at Work, University College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The purpose of this study was to develop and validate a new survey instrument to evaluate employee adaptation during the COVID-19 pandemic in Ireland, with the intention that the instrument could be adapted for use in future pandemic scenarios. Methods: The survey was developed iteratively by a multidisciplinary research team based on five previously identified key themes: (1) support received from the organisation, (2) adaptation pressure, (3) work-life balance, (4) health condition and (5) workload/working hours. From November 2021, employees from six organisations participated in a two-round pilot study (total n=589). Exploratory factor analysis (EFA) was conducted using data from the first round in IBM SPSS V.27 to refine the survey items, followed by confirmatory factor analysis (CFA) in IBM AMOS V.24 using data from the second round to test the factor structure. Results: The initial survey demonstrated good internal consistency (n=63, Cronbach's α=0.963). EFA identified a five-dimension structure corresponding to the predefined themes. After the removal of 19 items, the initial model fit was suboptimal (χ²/df=2.17, p<0.001; Comparative Fit Index (CFI)=0.864; standardised root mean square residual (SRMR)=0.066; root mean square error of approximation (RMSEA)=0.079). Subsequent CFA-based refinements improved the model fit substantially. The final model consisted of 25 items across five dimensions, with acceptable fit indices (χ²/df=1.76, p<0.001; CFI=0.926; SRMR=0.061; RMSEA=0.064). Conclusions: This study presents the first validated survey instrument specifically designed to evaluate employee adaptation experiences during the COVID-19 pandemic. The survey provides a valuable tool for human resources and occupational health professionals to monitor employee well-being during periods of organisational and environmental disruption. Furthermore, the selected items can be adapted for broader application across different working settings and future public health emergencies.

Indexed as

COVID-19EpidemicsMental HealthmethodsPublic Health

Identifiers

PMID41852717
PMCPMC12993357

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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.