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J Pediatr Nurs ; 71: e135-e141, 2023.
Article in English | MEDLINE | ID: mdl-37270386

ABSTRACT

PURPOSE: Miscommunication between parents and healthcare providers in the Pediatric Intensive Care Unit (PICU) can affect family-provider relationships and outcomes. This paper reports on the development and psychometric testing of a measure for parent perceived miscommunication, defined as the failure to communicate clearly as perceived by relevant stakeholders in the PICU. DESIGN AND METHODS: Miscommunication items were identified through a review of the literature with interdisciplinary experts. In a cross-sectional quantitative survey, the scale was tested with 200 parents of children discharged from a PICU at a large Northeastern Level 1 Pediatric hospital. The psychometric properties of a 6-item miscommunication measure were assessed using exploratory factor analysis and internal consistency reliability. RESULTS: Exploratory factor analysis yielded one factor explaining 66.09% of the variance. Internal consistency reliability in the PICU sample was α = 0.89. As hypothesized, there was a significant correlation between parental stress, trust, and perceived miscommunication in the PICU (p < .001). Confirmatory factor analysis supported good fit indices in testing the measurement model (χ2/df = 2.57, Goodness of Fit Index (GFI) = 0.979, Confirmatory Fit Index (CFI) =0.993 and Standardized Mean Residual (SMR) = 0.0136). CONCLUSIONS: This new six-item miscommunication measure shows promising psychometric properties including content and construct validity, which can be further tested and refined in future studies of miscommunication and outcomes in PICU. PRACTICE IMPLICATIONS: Awareness of perceived miscommunication in the PICU can benefit stakeholders within the clinical environment by recognizing the importance of clear and effective communication and how language affects the parent-child-provider relationship.


Subject(s)
Health Personnel , Intensive Care Units, Pediatric , Humans , Child , Reproducibility of Results , Cross-Sectional Studies , Factor Analysis, Statistical , Psychometrics , Communication , Surveys and Questionnaires
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