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Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis

BACKGROUND: Falls are a serious problem for hospitalized patients, reducing the duration and quality of life. It is estimated that over 84% of all adverse events in hospitalized patients are related to falls. Some fall risk assessment tools have been developed and tested in environments other than t...

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Autores principales: Aranda-Gallardo, Marta, Morales-Asencio, Jose M, Canca-Sanchez, Jose C, Barrero-Sojo, Silvia, Perez-Jimenez, Claudia, Morales-Fernandez, Angeles, de Luna-Rodriguez, Margarita Enriquez, Moya-Suarez, Ana B, Mora-Banderas, Ana M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637640/
https://www.ncbi.nlm.nih.gov/pubmed/23547708
http://dx.doi.org/10.1186/1472-6963-13-122
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author Aranda-Gallardo, Marta
Morales-Asencio, Jose M
Canca-Sanchez, Jose C
Barrero-Sojo, Silvia
Perez-Jimenez, Claudia
Morales-Fernandez, Angeles
de Luna-Rodriguez, Margarita Enriquez
Moya-Suarez, Ana B
Mora-Banderas, Ana M
author_facet Aranda-Gallardo, Marta
Morales-Asencio, Jose M
Canca-Sanchez, Jose C
Barrero-Sojo, Silvia
Perez-Jimenez, Claudia
Morales-Fernandez, Angeles
de Luna-Rodriguez, Margarita Enriquez
Moya-Suarez, Ana B
Mora-Banderas, Ana M
author_sort Aranda-Gallardo, Marta
collection PubMed
description BACKGROUND: Falls are a serious problem for hospitalized patients, reducing the duration and quality of life. It is estimated that over 84% of all adverse events in hospitalized patients are related to falls. Some fall risk assessment tools have been developed and tested in environments other than those for which they were developed with serious validity discrepancies. The aim of this review is to determine the accuracy of instruments for detecting fall risk and predicting falls in acute hospitalized patients. METHODS: Systematic review and meta-analysis. Main databases, related websites and grey literature were searched. Two blinded reviewers evaluated title and abstracts of the selected articles and, if they met inclusion criteria, methodological quality was assessed in a new blinded process. Meta-analyses of diagnostic ORs (DOR) and likelihood (LH) coefficients were performed with the random effects method. Forest plots were calculated for sensitivity and specificity, DOR and LH. Additionally, summary ROC (SROC) curves were calculated for every analysis. RESULTS: Fourteen studies were selected for the review. The meta-analysis was performed with the Morse (MFS), STRATIFY and Hendrich II Fall Risk Model scales. The STRATIFY tool provided greater diagnostic validity, with a DOR value of 7.64 (4.86 - 12.00). A meta-regression was performed to assess the effect of average patient age over 65 years and the performance or otherwise of risk reassessments during the patient’s stay. The reassessment showed a significant reduction in the DOR on the MFS (rDOR 0.75, 95% CI: 0.64 - 0.89, p = 0.017). CONCLUSIONS: The STRATIFY scale was found to be the best tool for assessing the risk of falls by hospitalized acutely-ill adults. However, the behaviour of these instruments varies considerably depending on the population and the environment, and so their operation should be tested prior to implementation. Further studies are needed to investigate the effect of the reassessment of these instruments with respect to hospitalized adult patients, and to consider the real compliance by healthcare personnel with procedures related to patient safety, and in particular concerning the prevention of falls.
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spelling pubmed-36376402013-04-28 Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis Aranda-Gallardo, Marta Morales-Asencio, Jose M Canca-Sanchez, Jose C Barrero-Sojo, Silvia Perez-Jimenez, Claudia Morales-Fernandez, Angeles de Luna-Rodriguez, Margarita Enriquez Moya-Suarez, Ana B Mora-Banderas, Ana M BMC Health Serv Res Research Article BACKGROUND: Falls are a serious problem for hospitalized patients, reducing the duration and quality of life. It is estimated that over 84% of all adverse events in hospitalized patients are related to falls. Some fall risk assessment tools have been developed and tested in environments other than those for which they were developed with serious validity discrepancies. The aim of this review is to determine the accuracy of instruments for detecting fall risk and predicting falls in acute hospitalized patients. METHODS: Systematic review and meta-analysis. Main databases, related websites and grey literature were searched. Two blinded reviewers evaluated title and abstracts of the selected articles and, if they met inclusion criteria, methodological quality was assessed in a new blinded process. Meta-analyses of diagnostic ORs (DOR) and likelihood (LH) coefficients were performed with the random effects method. Forest plots were calculated for sensitivity and specificity, DOR and LH. Additionally, summary ROC (SROC) curves were calculated for every analysis. RESULTS: Fourteen studies were selected for the review. The meta-analysis was performed with the Morse (MFS), STRATIFY and Hendrich II Fall Risk Model scales. The STRATIFY tool provided greater diagnostic validity, with a DOR value of 7.64 (4.86 - 12.00). A meta-regression was performed to assess the effect of average patient age over 65 years and the performance or otherwise of risk reassessments during the patient’s stay. The reassessment showed a significant reduction in the DOR on the MFS (rDOR 0.75, 95% CI: 0.64 - 0.89, p = 0.017). CONCLUSIONS: The STRATIFY scale was found to be the best tool for assessing the risk of falls by hospitalized acutely-ill adults. However, the behaviour of these instruments varies considerably depending on the population and the environment, and so their operation should be tested prior to implementation. Further studies are needed to investigate the effect of the reassessment of these instruments with respect to hospitalized adult patients, and to consider the real compliance by healthcare personnel with procedures related to patient safety, and in particular concerning the prevention of falls. BioMed Central 2013-04-02 /pmc/articles/PMC3637640/ /pubmed/23547708 http://dx.doi.org/10.1186/1472-6963-13-122 Text en Copyright © 2013 Aranda-Gallardo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Aranda-Gallardo, Marta
Morales-Asencio, Jose M
Canca-Sanchez, Jose C
Barrero-Sojo, Silvia
Perez-Jimenez, Claudia
Morales-Fernandez, Angeles
de Luna-Rodriguez, Margarita Enriquez
Moya-Suarez, Ana B
Mora-Banderas, Ana M
Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis
title Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis
title_full Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis
title_fullStr Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis
title_full_unstemmed Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis
title_short Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis
title_sort instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3637640/
https://www.ncbi.nlm.nih.gov/pubmed/23547708
http://dx.doi.org/10.1186/1472-6963-13-122
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