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<article article-type="research-article" dtd-version="1.0" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">kjhp</journal-id>
<journal-title-group>
<journal-title>Korean Journal of Health Promotion</journal-title>
<abbrev-journal-title>Korean J Health Promot</abbrev-journal-title>
</journal-title-group>
<issn pub-type="ppub">2234-2141</issn>
<issn pub-type="epub">2093-5676</issn>
<publisher>
<publisher-name>The Korean Society of Health Promotion and Disease Prevention</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.15384/kjhp.2016.16.3.180</article-id>
<article-id pub-id-type="publisher-id">kjhp-16-180</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Systematic Review and Meta-analysis for Usefulness of Fall Risk Assessment Tools in Adult Inpatients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en"><surname>Park</surname><given-names>Seong-Hi</given-names></name>
<xref ref-type="aff" rid="aff1-kjhp-16-180"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en"><surname>Kim</surname><given-names>Eun-Kyung</given-names></name>
<xref ref-type="aff" rid="aff2-kjhp-16-180"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c1-kjhp-16-180"/>
</contrib>
<aff id="aff1-kjhp-16-180"><label>1</label>Department of Nursing, Soonchunhyang University, Asan, <country>Korea</country></aff>
<aff id="aff2-kjhp-16-180"><label>2</label>Department of Nursing, Chungbuk National University, Cheongju, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-kjhp-16-180">Corresponding author: <bold>Eun-Kyung Kim, PhD</bold> Department of Nursing, Chungbuk National University, 1 Chungdae-ro, Seowon-Gu, Cheongju 28644, Korea Tel: &#x002B;82-43-249-1730, Fax: &#x002B;82-43-266-1710 E-mail: <email>kyung11@chungbuk.ac.kr</email></corresp>
</author-notes><pub-date pub-type="ppub">
<month>01</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>20</day>
<month>01</month>
<year>2016</year>
</pub-date>
<volume>16</volume>
<issue>3</issue>
<fpage>180</fpage>
<lpage>191</lpage>
<history>
<date date-type="received">
<day>12</day><month>05</month><year>2016</year></date>
<date date-type="accepted">
<day>29</day><month>08</month><year>2016</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2016 The Korean Society of Health Promotion and Disease Prevention</copyright-statement>
<copyright-year>2016</copyright-year>
<license><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0">http://creativecommons.org/licenses/by-nc/3.0</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license>
</permissions>
<abstract xml:lang="en">
<sec>
<title>Background</title>
<p>The aim of this study was to determine which fall-risk tool is most accurate for detecting and predicting adults in the hospital setting.</p>
</sec>
<sec>
<title>Methods</title>
<p>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: &#x2018;fall&#x0027;, &#x2018;fall risk assessment&#x0027;, &#x2018;fall screening&#x0027;, &#x2018;mobility scale&#x0027;, and &#x2018;risk assessment tool&#x0027;. 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.</p>
</sec>
<sec>
<title>Results</title>
<p>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&#x0025; confidence interval [CI]: 0.68&#x2013;0.78), pooled specificity 0.75 (95&#x0025; CI: 0.74&#x2013;0.76), area under the curve (AUC) of summary receiver operating characteristics (sROC) curve 0.79 (standard error [SE] &#x003D; 0.02), and value of index Q&#x2217; 0.72 (SE &#x003D; 0.01) respectively.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>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.</p>
</sec>
</abstract>
<kwd-group xml:lang="en">
<kwd>Accidental falls</kwd>
<kwd>Sensitivity and specificity</kwd>
<kwd>Meta-analysis</kwd>
</kwd-group>
</article-meta>
</front>
<back>
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</ref-list>
<sec sec-type="display-objects">
<title>Figures</title>
<fig id="f1-kjhp-16-180" position="float">
<label>Figure 1.</label>
<caption xml:lang="en"><p>Flow diagram of article selection.</p></caption>
<graphic xlink:href="kjhp-16-180f1.tif"/>
</fig>
<fig id="f2-kjhp-16-180" position="float">
<label>Figure 2.</label>
<caption xml:lang="en"><p>Quality assessment results of the selected studies by QUADAS-2.</p></caption>
<graphic xlink:href="kjhp-16-180f2.tif"/>
</fig>
<fig id="f3-kjhp-16-180" position="float">
<label>Figure 3.</label>
<caption xml:lang="en"><p>Predictive validity of Morse Fall Scale in selected studies.</p></caption>
<graphic xlink:href="kjhp-16-180f3.tif"/>
</fig>
<fig id="f4-kjhp-16-180" position="float">
<label>Figure 4.</label>
<caption xml:lang="en"><p>Predictive validity of Hendrich &#x2161; Fall Risk Model in selected studies.</p></caption>
<graphic xlink:href="kjhp-16-180f4.tif"/>
</fig>
<fig id="f5-kjhp-16-180" position="float">
<label>Figure 5.</label>
<caption xml:lang="en"><p>Predictive validity of St. Thomas Risk Assessment Tool in Falling elderly inpatients in selected studies.</p></caption>
<graphic xlink:href="kjhp-16-180f5.tif"/>
</fig>
<fig id="f6-kjhp-16-180" position="float">
<label>Figure 6.</label>
<caption xml:lang="en"><p>Predictive validity of Conley Scale in selected studies.</p></caption>
<graphic xlink:href="kjhp-16-180f6.tif"/>
</fig>
<fig id="f7-kjhp-16-180" position="float">
<label>Figure 7.</label>
<caption xml:lang="en"><p>Predictive validity of others fall risk assessment tools in selected studies.</p></caption>
<graphic xlink:href="kjhp-16-180f7.tif"/>
</fig>
<table-wrap id="kjhp-16-180t1" position="float">
<label>Table 1.</label>
<caption xml:lang="en"><p>Characteristics of selected studies</p></caption>
<graphic xlink:href="kjhp-16-180f8.tif"/>
</table-wrap>
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</article>
