Predicting the length of hospital stay of psychiatry patients using signal detection analysis
Abstract In Japan, the length of hospital stay (LOS) at psychiatric institutions often exceeds a year, and factors related to such stays have been identified. However, we do not know how multiple patient, hospital, and physician factors interact to determine LOS. Patient data were collected from a p...
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Veröffentlicht in: | Psychiatry research 2013-12, Vol.210 (3), p.1211-1218 |
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description | Abstract In Japan, the length of hospital stay (LOS) at psychiatric institutions often exceeds a year, and factors related to such stays have been identified. However, we do not know how multiple patient, hospital, and physician factors interact to determine LOS. Patient data were collected from a psychiatric hospital in Osaka, Japan. We developed subgroups, which were determined by interactions related to LOS using signal detection theory. In acute or emergency wards, five factors related to LOS were identified, and subjects were categorized into six subgroups. The indices obtained by the five factors ranged 2.49–3.47 for odds ratio, 0.47–0.84 for sensitivity, 0.40–0.76 for specificity, and 0.52–0.71 for positive predictive value. In general wards, five factors related to LOS were identified, and subjects were categorized into six subgroups. The indices obtained by the five factors ranged 3.02–5.36 for odds ratio, 0.58–0.86 for sensitivity, 0.37–0.68 for specificity, and 0.85–0.92 for positive predictive value. Psychiatrists who have been practicing longer in acute or emergency wards appear to have significantly longer stay of patients, and older or more severe patients tend to be in need of longer inpatient care. Our results provide findings that may be helpful in decreasing LOS at psychiatric hospitals. |
doi_str_mv | 10.1016/j.psychres.2013.09.019 |
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However, we do not know how multiple patient, hospital, and physician factors interact to determine LOS. Patient data were collected from a psychiatric hospital in Osaka, Japan. We developed subgroups, which were determined by interactions related to LOS using signal detection theory. In acute or emergency wards, five factors related to LOS were identified, and subjects were categorized into six subgroups. The indices obtained by the five factors ranged 2.49–3.47 for odds ratio, 0.47–0.84 for sensitivity, 0.40–0.76 for specificity, and 0.52–0.71 for positive predictive value. In general wards, five factors related to LOS were identified, and subjects were categorized into six subgroups. The indices obtained by the five factors ranged 3.02–5.36 for odds ratio, 0.58–0.86 for sensitivity, 0.37–0.68 for specificity, and 0.85–0.92 for positive predictive value. Psychiatrists who have been practicing longer in acute or emergency wards appear to have significantly longer stay of patients, and older or more severe patients tend to be in need of longer inpatient care. Our results provide findings that may be helpful in decreasing LOS at psychiatric hospitals.</description><identifier>ISSN: 0165-1781</identifier><identifier>EISSN: 1872-7123</identifier><identifier>DOI: 10.1016/j.psychres.2013.09.019</identifier><identifier>PMID: 24095680</identifier><identifier>CODEN: PSRSDR</identifier><language>eng</language><publisher>Kidlington: Elsevier Ireland Ltd</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Biological and medical sciences ; Female ; Hospitals, Psychiatric - utilization ; Humans ; Institution therapy. Inpatient treatment ; Japan ; Length of Stay - statistics & numerical data ; Male ; Medical sciences ; Mental Disorders - epidemiology ; Mental Disorders - rehabilitation ; Middle Aged ; Outcome ; Patient Admission - statistics & numerical data ; Patients ; Prediction ; Predictive Value of Tests ; Psychiatry ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Signal detection analysis ; Signal Detection, Psychological ; Treatments ; Young Adult</subject><ispartof>Psychiatry research, 2013-12, Vol.210 (3), p.1211-1218</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2013 Elsevier Ireland Ltd</rights><rights>2015 INIST-CNRS</rights><rights>2013 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c519t-2b88784424a09036e1a1b9ddf6e4bb733e92b78f3f26b709128988bd72a578bc3</citedby><cites>FETCH-LOGICAL-c519t-2b88784424a09036e1a1b9ddf6e4bb733e92b78f3f26b709128988bd72a578bc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.psychres.2013.09.019$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28028147$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24095680$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Badriah, Fase</creatorcontrib><creatorcontrib>Abe, Takeru</creatorcontrib><creatorcontrib>Nabeshima, Yoshihiro</creatorcontrib><creatorcontrib>Ikeda, Kouji</creatorcontrib><creatorcontrib>Kuroda, Kenji</creatorcontrib><creatorcontrib>Hagihara, Akihito</creatorcontrib><title>Predicting the length of hospital stay of psychiatry patients using signal detection analysis</title><title>Psychiatry research</title><addtitle>Psychiatry Res</addtitle><description>Abstract In Japan, the length of hospital stay (LOS) at psychiatric institutions often exceeds a year, and factors related to such stays have been identified. However, we do not know how multiple patient, hospital, and physician factors interact to determine LOS. Patient data were collected from a psychiatric hospital in Osaka, Japan. We developed subgroups, which were determined by interactions related to LOS using signal detection theory. In acute or emergency wards, five factors related to LOS were identified, and subjects were categorized into six subgroups. The indices obtained by the five factors ranged 2.49–3.47 for odds ratio, 0.47–0.84 for sensitivity, 0.40–0.76 for specificity, and 0.52–0.71 for positive predictive value. In general wards, five factors related to LOS were identified, and subjects were categorized into six subgroups. The indices obtained by the five factors ranged 3.02–5.36 for odds ratio, 0.58–0.86 for sensitivity, 0.37–0.68 for specificity, and 0.85–0.92 for positive predictive value. Psychiatrists who have been practicing longer in acute or emergency wards appear to have significantly longer stay of patients, and older or more severe patients tend to be in need of longer inpatient care. Our results provide findings that may be helpful in decreasing LOS at psychiatric hospitals.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Female</subject><subject>Hospitals, Psychiatric - utilization</subject><subject>Humans</subject><subject>Institution therapy. Inpatient treatment</subject><subject>Japan</subject><subject>Length of Stay - statistics & numerical data</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Mental Disorders - epidemiology</subject><subject>Mental Disorders - rehabilitation</subject><subject>Middle Aged</subject><subject>Outcome</subject><subject>Patient Admission - statistics & numerical data</subject><subject>Patients</subject><subject>Prediction</subject><subject>Predictive Value of Tests</subject><subject>Psychiatry</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Signal detection analysis</subject><subject>Signal Detection, Psychological</subject><subject>Treatments</subject><subject>Young Adult</subject><issn>0165-1781</issn><issn>1872-7123</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkt-L1DAQgIMo3nr6Lxx9EXxpzaQ_kryIcqh3cKCgPkpI0-lu1m67ZtKD_vem7p6CLz6FhG9mMt8MY1fAC-DQvN4XR1rcLiAVgkNZcF1w0I_YBpQUuQRRPmabBNY5SAUX7BnRnnMuQOun7EJUXNeN4hv2_XPAzrvox20Wd5gNOG7jLpv6bDfR0Uc7ZBTtsj78LuhtDEt2tNHjGCmbaQ0kvx0T2GHElGkaM5uuC3l6zp70diB8cT4v2bcP779e3-R3nz7eXr-7y10NOuaiVUqqqhKV5ZqXDYKFVndd32DVtrIsUYtWqr7sRdNKrkEorVTbSWFrqVpXXrJXp7zHMP2ckaI5eHI4DHbEaSYDVQNKpaYhoc0JdWEiCtibY_AHGxYD3Kxqzd48qDWrWsO1SWpT4NW5xtwesPsT9uAyAS_PgCVnhz7Y0Xn6yykuFFQycW9PHCYj9x6DIZdsujSHkPyZbvL__8ubf1K4wY8-Vf2BC9J-mkOaQOrbkDDcfFkXYd0DKDmvVdOUvwDkQ7C5</recordid><startdate>20131230</startdate><enddate>20131230</enddate><creator>Badriah, Fase</creator><creator>Abe, Takeru</creator><creator>Nabeshima, Yoshihiro</creator><creator>Ikeda, Kouji</creator><creator>Kuroda, Kenji</creator><creator>Hagihara, Akihito</creator><general>Elsevier Ireland Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20131230</creationdate><title>Predicting the length of hospital stay of psychiatry patients using signal detection analysis</title><author>Badriah, Fase ; Abe, Takeru ; Nabeshima, Yoshihiro ; Ikeda, Kouji ; Kuroda, Kenji ; Hagihara, Akihito</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-2b88784424a09036e1a1b9ddf6e4bb733e92b78f3f26b709128988bd72a578bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Female</topic><topic>Hospitals, Psychiatric - utilization</topic><topic>Humans</topic><topic>Institution therapy. Inpatient treatment</topic><topic>Japan</topic><topic>Length of Stay - statistics & numerical data</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Mental Disorders - epidemiology</topic><topic>Mental Disorders - rehabilitation</topic><topic>Middle Aged</topic><topic>Outcome</topic><topic>Patient Admission - statistics & numerical data</topic><topic>Patients</topic><topic>Prediction</topic><topic>Predictive Value of Tests</topic><topic>Psychiatry</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Signal detection analysis</topic><topic>Signal Detection, Psychological</topic><topic>Treatments</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Badriah, Fase</creatorcontrib><creatorcontrib>Abe, Takeru</creatorcontrib><creatorcontrib>Nabeshima, Yoshihiro</creatorcontrib><creatorcontrib>Ikeda, Kouji</creatorcontrib><creatorcontrib>Kuroda, Kenji</creatorcontrib><creatorcontrib>Hagihara, Akihito</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Psychiatry research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Badriah, Fase</au><au>Abe, Takeru</au><au>Nabeshima, Yoshihiro</au><au>Ikeda, Kouji</au><au>Kuroda, Kenji</au><au>Hagihara, Akihito</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the length of hospital stay of psychiatry patients using signal detection analysis</atitle><jtitle>Psychiatry research</jtitle><addtitle>Psychiatry Res</addtitle><date>2013-12-30</date><risdate>2013</risdate><volume>210</volume><issue>3</issue><spage>1211</spage><epage>1218</epage><pages>1211-1218</pages><issn>0165-1781</issn><eissn>1872-7123</eissn><coden>PSRSDR</coden><abstract>Abstract In Japan, the length of hospital stay (LOS) at psychiatric institutions often exceeds a year, and factors related to such stays have been identified. However, we do not know how multiple patient, hospital, and physician factors interact to determine LOS. Patient data were collected from a psychiatric hospital in Osaka, Japan. We developed subgroups, which were determined by interactions related to LOS using signal detection theory. In acute or emergency wards, five factors related to LOS were identified, and subjects were categorized into six subgroups. The indices obtained by the five factors ranged 2.49–3.47 for odds ratio, 0.47–0.84 for sensitivity, 0.40–0.76 for specificity, and 0.52–0.71 for positive predictive value. In general wards, five factors related to LOS were identified, and subjects were categorized into six subgroups. The indices obtained by the five factors ranged 3.02–5.36 for odds ratio, 0.58–0.86 for sensitivity, 0.37–0.68 for specificity, and 0.85–0.92 for positive predictive value. Psychiatrists who have been practicing longer in acute or emergency wards appear to have significantly longer stay of patients, and older or more severe patients tend to be in need of longer inpatient care. Our results provide findings that may be helpful in decreasing LOS at psychiatric hospitals.</abstract><cop>Kidlington</cop><pub>Elsevier Ireland Ltd</pub><pmid>24095680</pmid><doi>10.1016/j.psychres.2013.09.019</doi><tpages>8</tpages></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Biological and medical sciences Female Hospitals, Psychiatric - utilization Humans Institution therapy. Inpatient treatment Japan Length of Stay - statistics & numerical data Male Medical sciences Mental Disorders - epidemiology Mental Disorders - rehabilitation Middle Aged Outcome Patient Admission - statistics & numerical data Patients Prediction Predictive Value of Tests Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Signal detection analysis Signal Detection, Psychological Treatments Young Adult |
title | Predicting the length of hospital stay of psychiatry patients using signal detection analysis |
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