Predicting the length of hospital stay of psychiatry patients using signal detection analysis
Autor: | Kenji Kuroda, Yoshihiro Nabeshima, Takeru Abe, Akihito Hagihara, Fase Badriah, Kouji Ikeda |
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Rok vydání: | 2012 |
Předmět: |
Adult
Hospitals Psychiatric Male medicine.medical_specialty Signal Detection Psychological Adolescent Patients Young Adult Patient Admission Japan Predictive Value of Tests Medicine Psychiatric hospital Humans Psychiatry Biological Psychiatry Aged Aged 80 and over Inpatient care business.industry Mental Disorders Patient data Odds ratio Length of Stay Middle Aged Predictive value Psychiatry and Mental health Female business Hospital stay |
Zdroj: | Psychiatry research. 210(3) |
ISSN: | 1872-7123 |
Popis: | 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. |
Databáze: | OpenAIRE |
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