Maximization delays decision-making in acute care nursing

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URI: http://hdl.handle.net/10498/32748
DOI: https://doi.org/10.1038/s41598-024-56037-x
ISSN: 2045-2322
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2024-03-06Departamento/s
PsicologíaFuente
Scientific Reports, Vol. 14, Núm. 1, 2024Resumen
The maximization personality trait refers to the tendency to face decision-making situations along a
continuum from exhaustively analysing all the options (maximize) to choosing the one that exceeds
a subjective threshold of acceptability (satisfy). Research has revealed the infuence of maximizing
on decision making, although little is known about its possible role in high risk and high uncertainty
situations. A sample of 153 active Spanish nurses, with an average experience of 11 years, completed
a maximization questionnaire and responded to written vignettes depicting time-demanding
decision making in which three options were ofered, representing delayed action, non-action, and
immediate action. Two vignettes presented critical situations related to acute care during the COVID19 pandemic, whilst two vignettes presented non-nursing scenarios. People high in maximization
took longer to choose and were more likely to choose non-action. No relationship was found between
maximization score and the subjective experience of the person making the choice. Maximization
had no signifcant correlation with years of experience nor perceived expertise. Greater perceived
expertise was associated with lower indecision and greater confdence. When participants answered
nursing vignettes, they took longer to respond, but chose less delayed action and more immediate
action. Our results suggest that maximization plays only a relative role in acute care decision-making
in nursing, as compared to contextual variables and expertise. They also support a domain general
approach to this personality trait. Findings are consistent with Nibbelink and Reed’s Practice-Primed
Decision Model for nursing.
Materias
Maximization; Nursing; Decision-making; Practice-primed decision model; Acute careColecciones
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