Research output per year
Research output per year
Research output: Contribution to journal › Article › peer-review
The successful management of a childbirth emergency will be dependent on the decision-making of involved obstetricians and gynecologists. Individual differences in decision-making may be explained through personality traits. The objectives of the present study were (I) to describe personality trait levels of obstetricians and gynecologists and (II) to examine the relationship between obstetricians' and gynecologists' personality traits and decision-making styles (Individual, Team and Flow) in childbirth emergencies; also controlling for cognitive ability (ICAR-3), age, sex and years of clinical experience. Obstetricians and gynecologists, members of the Swedish Society for Obstetrics and Gynecology (N = 472) responded to an online questionnaire that included a simplified version of the Five Factor Model of personality (IPIP-NEO), and 15 questions concerning childbirth emergencies based on a model of decision-making styles (Individual, Team and Flow). The data was analyzed using Pearson's correlation analysis and multiple linear regression. Swedish obstetricians and gynecologists scored (P < 0.001) lower on Neuroticism (Cohen's d = - 1.09) and higher on Extraversion (d = 0.79), Agreeableness (d = 1.04) and Conscientiousness (d = 0.97) compared to the general population. The most important trait was Neuroticism, which correlated with the decision-making styles Individual (r = - 0.28) and Team (r = 0.15), while for example Openness only trivially correlated with Flow. Multiple linear regression showed that personality traits with covariates explained up to 18% of decision-making styles. Obstetricians and gynecologists have notably more distinct personality levels than the general population, and their personality traits relate to decision-making in childbirth emergencies. The assessment of medical errors in childbirth emergencies and prevention through individualized training should take account of these findings.
Original language | English |
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Article number | 5607 |
Number of pages | 6 |
Journal | Scientific Reports |
Volume | 13 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2023 Apr 5 |
Research output: Thesis › Doctoral Thesis (compilation)