Literature DB >> 22882340

Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review protocol.

Marta Aranda-Gallardo1, Jose Miguel Morales Asencio, Jose Carlos Canca-Sanchez, Ana Maria Mora-Banderas, Ana Belen Moya-Suarez.   

Abstract

AIM: The purpose of this article is to present the research protocol of a systematic review about fall risk assessment tools in acute hospitalized patients.
BACKGROUND: Various risk assessment tools for falls have been developed, but with uncertainties derived from validation in heterogeneous environments and variations in their sensitivity, specificity and predictive validity.
DESIGN: Systematic review and meta-analysis.
METHODS: Two independent reviewers will extract data in a blinded process. Quality of studies will be assessed using various standardized instruments. A meta-analysis will be performed if applicable. For all studies, sensitivity, specificity, positive and negative predictive values, together with the positive and negative likelihood ratios and Youden index will be calculated. The diagnostic odds ratio of the studies and the hierarchical summary Relative Operating Characteristic curve and bivariate model will be applied. Calculations will be made from random effects models. Forest-plot diagrams for sensitivity and specificity and likelihood ratios, in addition to Cochrane's Q test and the I(2) statistic, will be calculated. Funding of the review was confirmed in December 2010. DISCUSSION: The results of this review will help to clarify some uncertainties provoked by earlier research findings and enable informed choice of a validated, reproducible instrument for assessing the risk of falls by hospital patients, so that preventive action may be taken to minimize this risk.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 22882340     DOI: 10.1111/j.1365-2648.2012.06104.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  5 in total

1.  Development of a Novel Computational Model for Evaluating Fall Risk in Patient Room Design.

Authors:  Roya Sabbagh Novin; Ellen Taylor; Tucker Hermans; Andrew Merryweather
Journal:  HERD       Date:  2020-09-24

2.  Falls in older adults after hospitalization for acute myocardial infarction.

Authors:  David W Goldstein; Alexandra M Hajduk; Xuemei Song; Sui Tsang; Mary Geda; James B McClurken; Mary E Tinetti; Harlan M Krumholz; Sarwat I Chaudhry
Journal:  J Am Geriatr Soc       Date:  2021-08-12       Impact factor: 5.562

3.  Performance of the Hendrich Fall Risk Model II in Patients Discharged from Rehabilitation Wards. A Preliminary Study of Predictive Ability.

Authors:  Isabella Campanini; Annalisa Bargellini; Stefano Mastrangelo; Francesco Lombardi; Stefano Tolomelli; Mirco Lusuardi; Andrea Merlo
Journal:  Int J Environ Res Public Health       Date:  2021-02-04       Impact factor: 3.390

4.  Prediction of fall events during admission using eXtreme gradient boosting: a comparative validation study.

Authors:  Yin-Chen Hsu; Hsu-Huei Weng; Chiu-Ya Kuo; Tsui-Ping Chu; Yuan-Hsiung Tsai
Journal:  Sci Rep       Date:  2020-10-08       Impact factor: 4.379

5.  Correlation between fall risk increasing drugs (FRIDs) and fall events at a rehabilitation hospital.

Authors:  Silvana Castaldi; Niccolò Principi; Davide Carnevali; Navpreet Tiwana; Anna Pietronigro; Marco Mosillo; Matteo Marrazzo; Roberto Colombo; Gianluca Maria Avanzi; Stefano Corna
Journal:  Acta Biomed       Date:  2022-01-19
  5 in total

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