Capturing the experiences of UK healthcare workers during the COVID-19 pandemic: A structural topic modelling analysis of 7,412 free-text survey responses

Healthcare workers (HCWs) have provided vital services during the COVID-19 pandemic, but existing research consists of quantitative surveys (lacking in depth or context) or qualitative interviews (with limited generalisability). Structural Topic Modelling (STM) of large-scale free-text survey data o...

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Veröffentlicht in:	PloS one Jg. 17; H. 10; S. e0275720
Hauptverfasser:	Lamb, Danielle, Wright, Liam, Scott, Hannah, Croak, Bethany, Gnanapragasam, Sam, Docherty, Mary, Greenberg, Neil, Hotopf, Matthew, Stevelink, Sharon A. M., Raine, Rosalind, Wessely, Simon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 07.10.2022 Public Library of Science (PLoS)
Schlagworte:	Collaboration Control Coronaviruses COVID-19 COVID-19 - epidemiology Data collection Engineering and Technology Epidemics Essential workers Ethnicity Health care Health Personnel Health surveys Humans Leadership Medical personnel Medical research Medicine and Health Sciences Mental disorders Mental health Methods Modelling Pandemics People and Places Polls & surveys Qualitative research R&D Research & development Research and Analysis Methods Surveys Surveys and Questionnaires United Kingdom United Kingdom - epidemiology Workload United Kingdom
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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