Covid-19 and Flemish nursing homes: using fuzzy-set QCA to find safer organizational structures for personnel

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Issue Date
2022-06-23
Language
en
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Abstract
Within Flanders, nursing homes have been hit hard in the first wave of the covid-19 pandemic. During the pandemic, nursing homes coped with high levels of absenteeism due to covid-19 infections within their personnel. Using the theories within modern sociotechnical systems design, these high levels of absenteeism are less likely to occur if the organizational structure is designed in such a way that De Sitter’s design parameters are kept at a low value. However, it is unsure if this is the case during a pandemic. Using fuzzy-set Qualitative Comparative Analysis (fsQCA) an effort is made to see what sufficient configurations of organizational structures exist that show low levels of average infections within nursing home personnel. When analyzing the configurations that consistently showed low levels of covid-19 infections it was found that there is no parameter value that always needs to be low in order for a low average of covid-19 infections to occur. Further, it was found that configurations that show a low average on covid-19 infections mostly have at least one low parameter value combined with another favourable condition such as being situated in a province with fewer covid-19 infections or providing less intense care to residents.
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Faculteit der Managementwetenschappen