Literature DB >> 20978417

Meta-analysis of fall-risk tools in hospitalized adults.

Linda Harrington1, Rosemary Luquire, Nancy Vish, Melissa Winter, Claudia Wilder, Beth Houser, Ellen Pitcher, Huanying Qin.   

Abstract

OBJECTIVE: The aim of the study was to identify which fall-risk tool is most accurate for assessing adults in the hospital setting.
BACKGROUND: Falls can have physical, emotional, social, and financial consequences. Risk assessment affords the first opportunity in prevention.
METHODS: To standardize the use of a fall-risk tool across the Baylor Health Care System, nurse executives undertook a meta-analysis of published research on fall-risk assessment tools used with adult inpatients.
RESULTS: Both random-effects and fixed-effects models showed that Morse Fall Scale had significantly higher sensitivity than St Thomas's Risk Assessment Tool (STRATIFY). Specificity of Morse Fall Scale was significantly lower than that of STRATIFY with the fixed-effects model, but the random-effects model showed the opposite. Morse Fall Scale had a significantly higher Youden index than STRATIFY with the fixed-effects model (P = .001), but the result from random-effects model indicated no significant difference (P = .117). The sensitivity, specificity, and Youden index fell within the 95% confidence intervals.
CONCLUSIONS: Meta-analysis is a useful methodology for evaluating current evidence when variation exists in the literature.

Mesh:

Year:  2010        PMID: 20978417     DOI: 10.1097/NNA.0b013e3181f88fbd

Source DB:  PubMed          Journal:  J Nurs Adm        ISSN: 0002-0443            Impact factor:   1.737


  7 in total

1.  Inpatient falls: defining the problem and identifying possible solutions. Part I: an evidence-based review.

Authors:  Ethan U Cumbler; Jennifer R Simpson; Laura D Rosenthal; David J Likosky
Journal:  Neurohospitalist       Date:  2013-07

2.  Predictors of Functional Improvement, Length of Stay, and Discharge Destination in the Context of an Assess and Restore Program in Hospitalized Older Adults.

Authors:  Beatrise Edelstein; Jillian Scandiffio
Journal:  Geriatrics (Basel)       Date:  2022-04-20

Review 3.  Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis.

Authors:  Marta Aranda-Gallardo; Jose M Morales-Asencio; Jose C Canca-Sanchez; Silvia Barrero-Sojo; Claudia Perez-Jimenez; Angeles Morales-Fernandez; Margarita Enriquez de Luna-Rodriguez; Ana B Moya-Suarez; Ana M Mora-Banderas
Journal:  BMC Health Serv Res       Date:  2013-04-02       Impact factor: 2.655

4.  Factors Influencing Falls in High- and Low-Risk Patients in a Tertiary Hospital in Korea.

Authors:  Young-Shin Lee; Eun-Ju Choi; Yeon-Hee Kim; Hyeoun-Ae Park
Journal:  J Patient Saf       Date:  2020-12       Impact factor: 2.243

5.  Testing of Reliability and Validity of the Peninsula Health Falls Risk Assessment Tool (PHFRAT) in Acute Care: A Cross-Sectional Study.

Authors:  Anniina Heikkilä; Lasse Lehtonen; Jari Haukka; Satu Havulinna; Kristiina Junttila
Journal:  Risk Manag Healthc Policy       Date:  2021-11-19

Review 6.  Design Characteristics Influence Performance of Clinical Prediction Rules in Validation: A Meta-Epidemiological Study.

Authors:  Jong-Wook Ban; José Ignacio Emparanza; Iratxe Urreta; Amanda Burls
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

7.  Development of a User-Adaptable Human Fall Detection Based on Fall Risk Levels Using Depth Sensor.

Authors:  Yoosuf Nizam; Mohd Norzali Haji Mohd; M Mahadi Abdul Jamil
Journal:  Sensors (Basel)       Date:  2018-07-13       Impact factor: 3.576

  7 in total

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