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Meta-analysis of the Diagnostic Test Accuracy of Pediatric Inpatient Fall Risk Assessment Scales

Child Health Nursing Research 2019³â 25±Ç 1È£ p.56 ~ 64
KMID : 1102120190250010056
±èÀºÁÖ ( Kim Eun-Joo ) - Gangneung-Wonju National University Department of Nursing

ÀÓÁö¿µ ( Lim Ji-Young ) - Inha University Department of Nursing
±è±Ù¸é ( Kim Geun-Myun ) - Gangneung-Wonju National University Department of Nursing
À̹̰æ ( Lee Mi-Kyung ) - Korea University Department of Nursing

Abstract

Purpose: This study was conducted to obtain data for the development of an effective fall risk assessment tool for pediatric inpatients through a systematic review and meta-analysis of the diagnostic test accuracy of existing scales.

Methods: A literature search using Medline, Science Direct, CINAHL, EMBASE, and the Cochrane Library was performed between March 1 and 31, 2018. Of 890 identified papers, 10 were selected for review. Nine were used in the meta-analysis. Stata version 14.0 was used to create forest plots of sensitivity and specificity. A summary receiver operating characteristic curve was used to compare all diagnostic test accuracies.

Results: Four studies used the Humpty Dumpty Falls Scale. The most common items included the patient's diagnoses, use of sedative medications, and mobility. The pooled sensitivity and specificity of the nine studies were .79 and .36, respectively.

Conclusion: Considering the low specificity of the pediatric fall risk assessment scales currently available, there is a need to subdivide scoring categories and to minimize items that are evaluated using nurses' subjective judgment alone. Fall risk assessment scales should be incorporated into the electronic medical record system and an automated scoring system should be developed.
KeyWords

Falls, Risk, Sensitivity and specificity, Pediatrics
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