Predictors of parent's knowledge of hospital-based pediatric falls.

Abstract

This study aimed to validate and to determine the individual characteristics and demographic factors associated with parents' knowledge of hospital-based pediatric falls and to identify parent populations more likely to report low levels of falls-related knowledge. Validation of a questionnaire and a cross-sectional survey design. Parents (n = 200) of hospitalized children admitted to a tertiary specialist pediatric hospital in Australia completed an online questionnaire. Parents were asked to rate their hospital-based falls knowledge using a Likert scale (1-5). The questionnaire was administered to parents across six hospital wards, 1 day a week, from May to August 2019. Validation of the questionnaire involved factor analyses and reliability tests. Finally, descriptive analysis measured parents' knowledge, and a multivariate logistic regression analysis reported factors associated with parents' falls knowledge. All data were analyzed in Statistical Package for the Social Sciences (V27). Ethical approval was received for all stages. The final version of the parent knowledge of falls (PKOF) questionnaire consisted of 23 questions across five domains (Cronbach α = .929-.70). Parents' knowledge of hospital-based falls ranged from 2.5 to 4.5,while knowledge that children may fall during parental presence rated the lowest score. Knowledge of inpatient falls was higher if their child had a high risk of falls (odds ratio [OR]: 2.1, p = .04) and they were Australian-born parents (OR: 1.9, p = .05). The PKOF questionnaire is an evidence-based instrument developed for a pediatric hospital setting. Findings highlight knowledge gaps and parent groups with the highest risk of having inadequate hospital-based falls knowledge. The questionnaire enables pediatric nurses and educators to measure parents' knowledge of hospital-based falls accurately and consistently, and so to identify gaps and, subsequently, develop, implement, and evaluate falls education using an evidence-based approach.