DRGs and other patient-, service- and area-level factors influencing length of stay in acute psychiatric wards: the Veneto Region experience.
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| Title: | DRGs and other patient-, service- and area-level factors influencing length of stay in acute psychiatric wards: the Veneto Region experience. |
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| Authors: | Pertile, Riccardo, Donisi, Valeria, Grigoletti, Laura, Angelozzi, Andrea, Zamengo, Giuseppe, Zulian, Grazia, Amaddeo, Francesco |
| Source: | Social Psychiatry & Psychiatric Epidemiology. Jul2011, Vol. 46 Issue 7, p651-660. 10p. |
| Subjects: | Diagnosis related groups, Length of stay in hospitals, Mental health services, Hospital wards, Sociodemographic factors, Regression analysis, Inpatient care |
| Abstract: | Purpose: This study aimed to identify services-related and area-based measures together with socio-demographic factors that could improve diagnosis-related groups in explaining length of stay variability in general hospital psychiatric units in Veneto Region (North East of Italy). Methods: Data were collected from the regional hospital discharge records database. A hierarchical multiple regression model with only diagnosis-related groups as predictors of actual and ln-transformed length of stay was compared with a second model in which patient-, service- and area-level variables were included. Local health district was used as group-level in the hierarchical multiple regression analysis. Results: The only diagnosis explains 6.4% of actual length of stay total variance (14.8% for ln-transformation). In the second model length of stay resulted related also to gender, age, severity of hospitalization, patient's local health district, number of psychiatrists, psychologists, hospital attendants/nurses, social workers and educators in the general hospital psychiatric units, number of outpatients in each local health district and percentages of divorced and single people, with almost a 2% point increase on actual length of stay in explained variance (5% point increase for ln-transformation). Conclusions: For the first time the hospital discharge card regional survey of all public acute inpatient psychiatric facilities in Veneto Region were used. The innovative aspect of this study was the attempt to investigate the relationship between length of stay and other indexes, characterizing not only the inpatient facilities, but also the resident population structure in each area. The information about factors that influence length of stay can be useful to inform service planning and resource allocation. [ABSTRACT FROM AUTHOR] |
| Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 61191097 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: DRGs and other patient-, service- and area-level factors influencing length of stay in acute psychiatric wards: the Veneto Region experience. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pertile%2C+Riccardo%22">Pertile, Riccardo</searchLink><br /><searchLink fieldCode="AR" term="%22Donisi%2C+Valeria%22">Donisi, Valeria</searchLink><br /><searchLink fieldCode="AR" term="%22Grigoletti%2C+Laura%22">Grigoletti, Laura</searchLink><br /><searchLink fieldCode="AR" term="%22Angelozzi%2C+Andrea%22">Angelozzi, Andrea</searchLink><br /><searchLink fieldCode="AR" term="%22Zamengo%2C+Giuseppe%22">Zamengo, Giuseppe</searchLink><br /><searchLink fieldCode="AR" term="%22Zulian%2C+Grazia%22">Zulian, Grazia</searchLink><br /><searchLink fieldCode="AR" term="%22Amaddeo%2C+Francesco%22">Amaddeo, Francesco</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Social+Psychiatry+%26+Psychiatric+Epidemiology%22">Social Psychiatry & Psychiatric Epidemiology</searchLink>. Jul2011, Vol. 46 Issue 7, p651-660. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Diagnosis+related+groups%22">Diagnosis related groups</searchLink><br /><searchLink fieldCode="DE" term="%22Length+of+stay+in+hospitals%22">Length of stay in hospitals</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health+services%22">Mental health services</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+wards%22">Hospital wards</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Inpatient+care%22">Inpatient care</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: This study aimed to identify services-related and area-based measures together with socio-demographic factors that could improve diagnosis-related groups in explaining length of stay variability in general hospital psychiatric units in Veneto Region (North East of Italy). Methods: Data were collected from the regional hospital discharge records database. A hierarchical multiple regression model with only diagnosis-related groups as predictors of actual and ln-transformed length of stay was compared with a second model in which patient-, service- and area-level variables were included. Local health district was used as group-level in the hierarchical multiple regression analysis. Results: The only diagnosis explains 6.4% of actual length of stay total variance (14.8% for ln-transformation). In the second model length of stay resulted related also to gender, age, severity of hospitalization, patient's local health district, number of psychiatrists, psychologists, hospital attendants/nurses, social workers and educators in the general hospital psychiatric units, number of outpatients in each local health district and percentages of divorced and single people, with almost a 2% point increase on actual length of stay in explained variance (5% point increase for ln-transformation). Conclusions: For the first time the hospital discharge card regional survey of all public acute inpatient psychiatric facilities in Veneto Region were used. The innovative aspect of this study was the attempt to investigate the relationship between length of stay and other indexes, characterizing not only the inpatient facilities, but also the resident population structure in each area. The information about factors that influence length of stay can be useful to inform service planning and resource allocation. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00127-010-0231-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 651 Subjects: – SubjectFull: Diagnosis related groups Type: general – SubjectFull: Length of stay in hospitals Type: general – SubjectFull: Mental health services Type: general – SubjectFull: Hospital wards Type: general – SubjectFull: Sociodemographic factors Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Inpatient care Type: general Titles: – TitleFull: DRGs and other patient-, service- and area-level factors influencing length of stay in acute psychiatric wards: the Veneto Region experience. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pertile, Riccardo – PersonEntity: Name: NameFull: Donisi, Valeria – PersonEntity: Name: NameFull: Grigoletti, Laura – PersonEntity: Name: NameFull: Angelozzi, Andrea – PersonEntity: Name: NameFull: Zamengo, Giuseppe – PersonEntity: Name: NameFull: Zulian, Grazia – PersonEntity: Name: NameFull: Amaddeo, Francesco IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 09337954 Numbering: – Type: volume Value: 46 – Type: issue Value: 7 Titles: – TitleFull: Social Psychiatry & Psychiatric Epidemiology Type: main |
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