Artikel
Health care workers' risk perceptions and willingness to report for work during an influenza pandemic
The ability and willingness of health care workers to report for work during a pandemic are essential to pandemic response. The main contribution of this article is to examine the relationship between risk perception of personal and work activities and willingness to report for work during an influenza pandemic. Data were collected through a quantitative Web-based survey sent to health care workers on the island of Montreal. Respondents were asked about their perception of various risks to obtain index measures of risk perception. A multinomial logit model was applied for the probability estimations, and a factor analysis was conducted to compute risk perception indexes (scores). Risk perception associated with personal and work activities is a significant predictor of intended presence at work during an influenza pandemic. This means that correcting perceptual biases should be a public policy concern. These results have not been previously reported in the literature. Many organizational variables are also significant.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Risks ; ISSN: 2227-9091 ; Volume: 6 ; Year: 2018 ; Issue: 1 ; Pages: 1-18 ; Basel: MDPI
- Klassifikation
-
Wirtschaft
Information, Knowledge, and Uncertainty: General
Analysis of Health Care Markets
Health: Government Policy; Regulation; Public Health
- Thema
-
influenza pandemic
pandemic preparedness
risk perception
reporting for work
health policy
personal and work activities
principal component analysis
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Dionne, Georges
Desjardins, Denise
Lebeau, Martin
Messier, Stéphane
Dascal, André
- Ereignis
-
Veröffentlichung
- (wer)
-
MDPI
- (wo)
-
Basel
- (wann)
-
2018
- DOI
-
doi:10.3390/risks6010008
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Dionne, Georges
- Desjardins, Denise
- Lebeau, Martin
- Messier, Stéphane
- Dascal, André
- MDPI
Entstanden
- 2018
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