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
Hauptverfasser: Badriah, Fase, Abe, Takeru, Nabeshima, Yoshihiro, Ikeda, Kouji, Kuroda, Kenji, Hagihara, Akihito
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container_issue 3
container_start_page 1211
container_title Psychiatry research
container_volume 210
creator Badriah, Fase
Abe, Takeru
Nabeshima, Yoshihiro
Ikeda, Kouji
Kuroda, Kenji
Hagihara, Akihito
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. 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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><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 &amp; 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 &amp; 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. 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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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