Systematic Review and Meta-analysis for Usefulness of Fall Risk Assessment Tools in Adult Inpatients

Article information

Korean J Health Promot. 2016;16(3):180-191

Publication date (electronic) : 2016 January 20

doi : https://doi.org/10.15384/kjhp.2016.16.3.180

¹Department of Nursing, Soonchunhyang University, Asan, Korea

²Department of Nursing, Chungbuk National University, Cheongju, Korea

Corresponding author: Eun-Kyung Kim, PhD Department of Nursing, Chungbuk National University, 1 Chungdae-ro, Seowon-Gu, Cheongju 28644, Korea Tel: +82-43-249-1730, Fax: +82-43-266-1710 E-mail: kyung11@chungbuk.ac.kr

Received 2016 May 12; Accepted 2016 August 29.

Abstract

Background

The aim of this study was to determine which fall-risk tool is most accurate for detecting and predicting adults in the hospital setting.

Methods

A literature search was performed to identify all studies published between 1946 and 2014 from periodicals indexed in Ovid Medline, Embase, CINAHL, KoreaMed, NDSL and other databases, using the following keywords: ‘fall', ‘fall risk assessment', ‘fall screening', ‘mobility scale', and ‘risk assessment tool'. The QUADAS-2 was applied to assess the internal validity of the diagnostic studies. Fourteen studies were analyzed using meta-analysis with MetaDisc 1.4.

Results

The result of comparing twelve tools was that the Morse Fall Scale (MFS) is the best tool for predicting falls for acute hospitalized adult patients. Six prospective validation studies using MFS with high methodological quality, involving 9,255 patients, were included. Meta-analysis finding of MFS was as follows; pooled sensitivity 0.73 (95% confidence interval [CI]: 0.68–0.78), pooled specificity 0.75 (95% CI: 0.74–0.76), area under the curve (AUC) of summary receiver operating characteristics (sROC) curve 0.79 (standard error [SE] = 0.02), and value of index Q∗ 0.72 (SE = 0.01) respectively.

Conclusions

Falls in hospitalized adult patients can be effectively prevented using the MFS. These findings provide scientific evidence for using appropriate tool to prevent accidental falls and improve the safety of patients.

Keywords: Accidental falls; Sensitivity and specificity; Meta-analysis

Figure 1.

Flow diagram of article selection.

Figure 2.

Quality assessment results of the selected studies by QUADAS-2.

Figure 3.

Predictive validity of Morse Fall Scale in selected studies.

Figure 4.

Predictive validity of Hendrich Ⅱ Fall Risk Model in selected studies.

Figure 5.

Predictive validity of St. Thomas Risk Assessment Tool in Falling elderly inpatients in selected studies.

Figure 6.

Predictive validity of Conley Scale in selected studies.

Figure 7.

Predictive validity of others fall risk assessment tools in selected studies.

Table 1.

Characteristics of selected studies

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