Relationship Between Self-efficacy and Performance of Simulated Neonatal Chest Compressions and Ventilation

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Abstract

INTRODUCTION: Because improved competence in caring for patients is difficult to measure, self-efficacy (the strength of one's belief in one's ability to complete a task) is often used as a surrogate measurement of clinical ability. However, studies in adults and children have shown at best only weak correlations between self-efficacy and performance. This correlation has not been well studied in neonatal resuscitation limiting the utility of self-efficacy as a measurement of the effectiveness of interventions in this population. The objective of this study was to determine whether self-efficacy correlates with performance of simulated neonatal chest compressions and ventilation. METHODS: Sixty-nine neonatal fellows, neonatal nurse practitioners, neonatologists, and nurses completed a 7-point Likert scale in which they reported their ability to perform ventilations and chest compressions. The participants then performed chest compressions and bag-valve-mask ventilation on a mannequin. The performance of participants was compared with the rating of their ability using Spearman rank correlation coefficient. RESULTS: There was no correlation between participants' self-assessment and performance of chest compressions (rs = 0.003) or bag-valve-mask ventilation (rs = 0.08). There was a correlation between experience (years of neonatal intensive care unit experience, number of mock codes, and number of real codes) and the ratings of self-efficacy as well as between the number of mock codes and ventilation performance. CONCLUSIONS: In this study, self-reported efficacy had no correlation to clinical skills in neonatal resuscitation; participants both overestimated and underestimated their clinical proficiency. Prior participation in mock codes in the neonatal intensive care unit was the only factor that correlated with resuscitation performance.

Original languageEnglish (US)
Pages (from-to)377-381
Number of pages5
JournalSimulation in Healthcare
Volume15
Issue number6
DOIs
StatePublished - Dec 1 2020

ASJC Scopus subject areas

  • Epidemiology
  • Medicine (miscellaneous)
  • Education
  • Modeling and Simulation

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