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Development and Validation of a Fall Risk Assessment Scale for Hospitalized Children in Korea

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Purpose: This study aims to develop a pediatric fall risk assessment scale and examine its validity and reliability. Methods: The study was conducted in two phases. First, we developed a preliminary fall risk assessment scale based on a literature review and an evaluation by 10 expert panels. Second, we tested the validity and reliability of the scale through in a retrospective case-control study. The dataset included 102 reported falls and 306 non-falls in one hospital over approximately 9 years (2005~2014). We performed a conditional logistic regression analysis to determine significance and predictability and a receiver operating characteristic (ROC) curve analysis to test the validity of the scale’s final version. Results: The pediatric fall risk assessment scale included five factors: age, level of consciousness, gait ability, medication, and use of equipment. The area under the curve of the ROC was .75 (95% Confidence Interval [CI]: .70~.80; p<.001) at the time of hospital admission and .76 (95% CI: .70~81; p<.001) within 24 hours of a fall. The scale had high inter-rater reliability, with kappa values ranging from 0.89 to 1.00. Conclusion: We developed a fall risk assessment scale with high reliability and validity through a systematic process by accurately predicting the risk of falls among pediatric inpatients to reduce fall incidence rates.

Abstract

Purpose: This study aims to develop a pediatric fall risk assessment scale and examine its validity and reliability. Methods: The study was conducted in two phases. First, we developed a preliminary fall risk assessment scale based on a literature review and an evaluation by 10 expert panels. Second, we tested the validity and reliability of the scale through in a retrospective case-control study. The dataset included 102 reported falls and 306 non-falls in one hospital over approximately 9 years (2005~2014). We performed a conditional logistic regression analysis to determine significance and predictability and a receiver operating characteristic (ROC) curve analysis to test the validity of the scale’s final version. Results: The pediatric fall risk assessment scale included five factors: age, level of consciousness, gait ability, medication, and use of equipment. The area under the curve of the ROC was .75 (95% Confidence Interval [CI]: .70~.80; p<.001) at the time of hospital admission and .76 (95% CI: .70~81; p<.001) within 24 hours of a fall. The scale had high inter-rater reliability, with kappa values ranging from 0.89 to 1.00. Conclusion: We developed a fall risk assessment scale with high reliability and validity through a systematic process by accurately predicting the risk of falls among pediatric inpatients to reduce fall incidence rates.

참고문헌 (36)

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