Open AccessWho comes when the world goes Code Blue? A novel method of exploring job advertisements for COVID‐19 in health care
Author(s) -
Watts Rory D.,
Bowles Devin C.,
Fisher Colleen,
Li Ian W.
Publication year - 2021
Publication title -
nursing open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.55
H-Index - 12
ISSN - 2054-1058
DOI - 10.1002/nop2.721
Subject(s) - covid-19 , code (set theory) , health care , advertising , virology , business , psychology , computer science , medicine , political science , infectious disease (medical specialty) , outbreak , law , programming language , set (abstract data type) , disease , pathology
Aim To explore the health workforce responses to COVID‐19. Design Analysis of job advertisements. Methods We collected advertisements for healthcare jobs which were caused by and in response to COVID‐19 between 4 March–17 April 2020 for the United States, Canada, United Kingdom, Australia and New Zealand. We collected information on the date of the advertisement, position advertised and location. We categorized job positions into three categories: frontline, coordination and decision support. Results We found 952 job advertisements, 72% of which were from the United States. There was a lag period between reported COVID‐19‐confirmed cases and job advertisements by several weeks. Nurses were the most advertised position in every country. Frontline workers were substantially more demanded than coordination or decision‐support roles. Job advertisements are a novel data source which leverages a readily available information about how workforces respond to a pandemic. The initial phases of the response emphasise the importance of frontline workers, especially nurses.