The Associations of Perceived Self-Efficacy with Emotional Intelligence, Personality, Resilience, and Attitudes Towards Death among Midwives.
Evangelos TzamakosDimitra MetallinouMaria TigkaAikaterini LykeridouAntigoni SarantakiChristina NanouPublished in: Healthcare (Basel, Switzerland) (2024)
Midwives' self-efficacy can significantly affect the provided care and, therefore, maternal and neonatal outcomes. The aim of the present study was to investigate associations of perceived self-efficacy with emotional intelligence, personality, resilience, and attitudes towards death among midwives in Greece. From 2020 to 2022, a total of 348 midwives were recruited in this descriptive cross-sectional study. The participants were employed as independent professionals, in public hospitals or regional health authorities. Data collection involved five research instruments: the General Self-Efficacy Scale (GSES), the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF), the Eysenck Personality Questionnaire (EPQ), the Connor-Davidson Resilience scale (CD-RISC), and the Death Attitude Profile-Revised (DAP-R) scale. The mean score for the GSES was 29.1 (SD = 4.2), suggesting a moderately elevated level of self-efficacy among midwives. The results revealed that higher scores on the GSES were significantly associated with higher scores on the Extraversion subscale ( p < 0.001) and lower scores on the Neuroticism ( p < 0.001) and Lie ( p = 0.002) subscales of the EPQ. Additionally, high self-efficacy was significantly correlated with high emotional intelligence ( p < 0.001), high neutral acceptance of death ( p = 0.009), and high resilience ( p < 0.001). These findings highlight the relationship between the self-efficacy of Greek midwives and various psychological factors, as well as the multifaceted nature of self-efficacy and its importance for midwives' psychological well-being and professional functioning.
Keyphrases
- social support
- healthcare
- climate change
- mental health
- depressive symptoms
- physical activity
- cross sectional
- public health
- palliative care
- metabolic syndrome
- machine learning
- big data
- artificial intelligence
- adipose tissue
- pregnant women
- birth weight
- deep learning
- skeletal muscle
- pain management
- data analysis
- single cell
- human health
- patient reported
- dna methylation
- gestational age
- pregnancy outcomes
- patient reported outcomes