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

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...

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Autores principales: Kim, Eun Joo, Lim, Ji Young, Kim, Geun Myun, Lee, Mi Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Academy of Child Health Nursing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650893/
https://www.ncbi.nlm.nih.gov/pubmed/35004398
http://dx.doi.org/10.4094/chnr.2019.25.1.56
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author Kim, Eun Joo
Lim, Ji Young
Kim, Geun Myun
Lee, Mi Kyung
author_facet Kim, Eun Joo
Lim, Ji Young
Kim, Geun Myun
Lee, Mi Kyung
author_sort Kim, Eun Joo
collection PubMed
description 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.
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spelling pubmed-86508932022-01-07 Meta-analysis of the Diagnostic Test Accuracy of Pediatric Inpatient Fall Risk Assessment Scales Kim, Eun Joo Lim, Ji Young Kim, Geun Myun Lee, Mi Kyung Child Health Nurs Res Original Article 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. Korean Academy of Child Health Nursing 2019-01 2019-01-29 /pmc/articles/PMC8650893/ /pubmed/35004398 http://dx.doi.org/10.4094/chnr.2019.25.1.56 Text en Copyright © 2019 Korean Academy of Child Health Nursing. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Eun Joo
Lim, Ji Young
Kim, Geun Myun
Lee, Mi Kyung
Meta-analysis of the Diagnostic Test Accuracy of Pediatric Inpatient Fall Risk Assessment Scales
title Meta-analysis of the Diagnostic Test Accuracy of Pediatric Inpatient Fall Risk Assessment Scales
title_full Meta-analysis of the Diagnostic Test Accuracy of Pediatric Inpatient Fall Risk Assessment Scales
title_fullStr Meta-analysis of the Diagnostic Test Accuracy of Pediatric Inpatient Fall Risk Assessment Scales
title_full_unstemmed Meta-analysis of the Diagnostic Test Accuracy of Pediatric Inpatient Fall Risk Assessment Scales
title_short Meta-analysis of the Diagnostic Test Accuracy of Pediatric Inpatient Fall Risk Assessment Scales
title_sort meta-analysis of the diagnostic test accuracy of pediatric inpatient fall risk assessment scales
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8650893/
https://www.ncbi.nlm.nih.gov/pubmed/35004398
http://dx.doi.org/10.4094/chnr.2019.25.1.56
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