Predictors for early and long-term readmission in involuntarily admitted patients

Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Mario Müller [verfasserIn] Nathalie Brackmann [verfasserIn] Philipp Homan [verfasserIn] Stefan Vetter [verfasserIn] Erich Seifritz [verfasserIn] Vladeta Ajdacic-Gross [verfasserIn] Florian Hotzy [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Involuntary admission Short-term readmission Revolving-door Coercion Recovery

Übergeordnetes Werk:	In: Comprehensive Psychiatry - Elsevier, 2019, 128(2024), Seite 152439-
Übergeordnetes Werk:	volume:128 ; year:2024 ; pages:152439-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.comppsych.2023.152439

Katalog-ID:	DOAJ099910837

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520			\|a Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. Methods: A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (< 30 days) readmissions were examined using logistic regression modelling. Results: Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. Conclusions: To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support.
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allfields	10.1016/j.comppsych.2023.152439 doi (DE-627)DOAJ099910837 (DE-599)DOAJ56e688e19b0a43f196d55e8c8e591168 DE-627 ger DE-627 rakwb eng RC435-571 Mario Müller verfasserin aut Predictors for early and long-term readmission in involuntarily admitted patients 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. Methods: A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (< 30 days) readmissions were examined using logistic regression modelling. Results: Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. Conclusions: To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support. Involuntary admission Short-term readmission Revolving-door Coercion Recovery Psychiatry Nathalie Brackmann verfasserin aut Philipp Homan verfasserin aut Stefan Vetter verfasserin aut Erich Seifritz verfasserin aut Vladeta Ajdacic-Gross verfasserin aut Florian Hotzy verfasserin aut In Comprehensive Psychiatry Elsevier, 2019 128(2024), Seite 152439- (DE-627)330080377 (DE-600)2049049-5 15328384 nnns volume:128 year:2024 pages:152439- https://doi.org/10.1016/j.comppsych.2023.152439 kostenfrei https://doaj.org/article/56e688e19b0a43f196d55e8c8e591168 kostenfrei http://www.sciencedirect.com/science/article/pii/S0010440X23000767 kostenfrei https://doaj.org/toc/0010-440X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 128 2024 152439-
spelling	10.1016/j.comppsych.2023.152439 doi (DE-627)DOAJ099910837 (DE-599)DOAJ56e688e19b0a43f196d55e8c8e591168 DE-627 ger DE-627 rakwb eng RC435-571 Mario Müller verfasserin aut Predictors for early and long-term readmission in involuntarily admitted patients 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. Methods: A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (< 30 days) readmissions were examined using logistic regression modelling. Results: Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. Conclusions: To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support. Involuntary admission Short-term readmission Revolving-door Coercion Recovery Psychiatry Nathalie Brackmann verfasserin aut Philipp Homan verfasserin aut Stefan Vetter verfasserin aut Erich Seifritz verfasserin aut Vladeta Ajdacic-Gross verfasserin aut Florian Hotzy verfasserin aut In Comprehensive Psychiatry Elsevier, 2019 128(2024), Seite 152439- (DE-627)330080377 (DE-600)2049049-5 15328384 nnns volume:128 year:2024 pages:152439- https://doi.org/10.1016/j.comppsych.2023.152439 kostenfrei https://doaj.org/article/56e688e19b0a43f196d55e8c8e591168 kostenfrei http://www.sciencedirect.com/science/article/pii/S0010440X23000767 kostenfrei https://doaj.org/toc/0010-440X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 128 2024 152439-
allfields_unstemmed	10.1016/j.comppsych.2023.152439 doi (DE-627)DOAJ099910837 (DE-599)DOAJ56e688e19b0a43f196d55e8c8e591168 DE-627 ger DE-627 rakwb eng RC435-571 Mario Müller verfasserin aut Predictors for early and long-term readmission in involuntarily admitted patients 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. Methods: A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (< 30 days) readmissions were examined using logistic regression modelling. Results: Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. Conclusions: To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support. Involuntary admission Short-term readmission Revolving-door Coercion Recovery Psychiatry Nathalie Brackmann verfasserin aut Philipp Homan verfasserin aut Stefan Vetter verfasserin aut Erich Seifritz verfasserin aut Vladeta Ajdacic-Gross verfasserin aut Florian Hotzy verfasserin aut In Comprehensive Psychiatry Elsevier, 2019 128(2024), Seite 152439- (DE-627)330080377 (DE-600)2049049-5 15328384 nnns volume:128 year:2024 pages:152439- https://doi.org/10.1016/j.comppsych.2023.152439 kostenfrei https://doaj.org/article/56e688e19b0a43f196d55e8c8e591168 kostenfrei http://www.sciencedirect.com/science/article/pii/S0010440X23000767 kostenfrei https://doaj.org/toc/0010-440X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 128 2024 152439-
allfieldsGer	10.1016/j.comppsych.2023.152439 doi (DE-627)DOAJ099910837 (DE-599)DOAJ56e688e19b0a43f196d55e8c8e591168 DE-627 ger DE-627 rakwb eng RC435-571 Mario Müller verfasserin aut Predictors for early and long-term readmission in involuntarily admitted patients 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. Methods: A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (< 30 days) readmissions were examined using logistic regression modelling. Results: Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. Conclusions: To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support. Involuntary admission Short-term readmission Revolving-door Coercion Recovery Psychiatry Nathalie Brackmann verfasserin aut Philipp Homan verfasserin aut Stefan Vetter verfasserin aut Erich Seifritz verfasserin aut Vladeta Ajdacic-Gross verfasserin aut Florian Hotzy verfasserin aut In Comprehensive Psychiatry Elsevier, 2019 128(2024), Seite 152439- (DE-627)330080377 (DE-600)2049049-5 15328384 nnns volume:128 year:2024 pages:152439- https://doi.org/10.1016/j.comppsych.2023.152439 kostenfrei https://doaj.org/article/56e688e19b0a43f196d55e8c8e591168 kostenfrei http://www.sciencedirect.com/science/article/pii/S0010440X23000767 kostenfrei https://doaj.org/toc/0010-440X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 128 2024 152439-
allfieldsSound	10.1016/j.comppsych.2023.152439 doi (DE-627)DOAJ099910837 (DE-599)DOAJ56e688e19b0a43f196d55e8c8e591168 DE-627 ger DE-627 rakwb eng RC435-571 Mario Müller verfasserin aut Predictors for early and long-term readmission in involuntarily admitted patients 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. Methods: A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (< 30 days) readmissions were examined using logistic regression modelling. Results: Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. Conclusions: To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support. Involuntary admission Short-term readmission Revolving-door Coercion Recovery Psychiatry Nathalie Brackmann verfasserin aut Philipp Homan verfasserin aut Stefan Vetter verfasserin aut Erich Seifritz verfasserin aut Vladeta Ajdacic-Gross verfasserin aut Florian Hotzy verfasserin aut In Comprehensive Psychiatry Elsevier, 2019 128(2024), Seite 152439- (DE-627)330080377 (DE-600)2049049-5 15328384 nnns volume:128 year:2024 pages:152439- https://doi.org/10.1016/j.comppsych.2023.152439 kostenfrei https://doaj.org/article/56e688e19b0a43f196d55e8c8e591168 kostenfrei http://www.sciencedirect.com/science/article/pii/S0010440X23000767 kostenfrei https://doaj.org/toc/0010-440X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 128 2024 152439-
language	English
source	In Comprehensive Psychiatry 128(2024), Seite 152439- volume:128 year:2024 pages:152439-
sourceStr	In Comprehensive Psychiatry 128(2024), Seite 152439- volume:128 year:2024 pages:152439-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Involuntary admission Short-term readmission Revolving-door Coercion Recovery Psychiatry
isfreeaccess_bool	true
container_title	Comprehensive Psychiatry
authorswithroles_txt_mv	Mario Müller @@aut@@ Nathalie Brackmann @@aut@@ Philipp Homan @@aut@@ Stefan Vetter @@aut@@ Erich Seifritz @@aut@@ Vladeta Ajdacic-Gross @@aut@@ Florian Hotzy @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	330080377
id	DOAJ099910837
language_de	englisch
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Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. 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callnumber-first	R - Medicine
author	Mario Müller
spellingShingle	Mario Müller misc RC435-571 misc Involuntary admission misc Short-term readmission misc Revolving-door misc Coercion misc Recovery misc Psychiatry Predictors for early and long-term readmission in involuntarily admitted patients
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topic_title	RC435-571 Predictors for early and long-term readmission in involuntarily admitted patients Involuntary admission Short-term readmission Revolving-door Coercion Recovery
topic	misc RC435-571 misc Involuntary admission misc Short-term readmission misc Revolving-door misc Coercion misc Recovery misc Psychiatry
topic_unstemmed	misc RC435-571 misc Involuntary admission misc Short-term readmission misc Revolving-door misc Coercion misc Recovery misc Psychiatry
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title	Predictors for early and long-term readmission in involuntarily admitted patients
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title_full	Predictors for early and long-term readmission in involuntarily admitted patients
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author_browse	Mario Müller Nathalie Brackmann Philipp Homan Stefan Vetter Erich Seifritz Vladeta Ajdacic-Gross Florian Hotzy
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title_sort	predictors for early and long-term readmission in involuntarily admitted patients
callnumber	RC435-571
title_auth	Predictors for early and long-term readmission in involuntarily admitted patients
abstract	Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. Methods: A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (< 30 days) readmissions were examined using logistic regression modelling. Results: Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. Conclusions: To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support.
abstractGer	Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. Methods: A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (< 30 days) readmissions were examined using logistic regression modelling. Results: Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. Conclusions: To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support.
abstract_unstemmed	Background: It is a common aim to reduce psychiatric readmissions. Although risk factors for readmissions were described, specific data in the group of patients with potentially aversively experienced involuntary admissions are lacking. To better understand underlying mechanisms, it is important to identify factors that are linked to readmissions in this specific patient group, which is the purpose of the current paper. Methods: A four-year cohort of N = 3575 involuntary admissions (IA) was followed-up for subsequent re-hospitalization. Demographic, administrative and clinical factors associated with short- (within 30 days) or long-term (< 30 days) readmissions were examined using logistic regression modelling. Results: Almost half of all IA cases were readmitted within the observation period, whereof every fifth readmission was within the first month after discharge from the involuntary index hospitalization. Adjusted regression modelling revealed problematic substance use at admission and assisted living or homelessness as risk factors for readmission, while high functioning at discharge, anxiety disorders, no subsequent treatment after discharge or IA due to danger to others were negatively associated with readmission. Factors specifically linked to short-term readmission were substance use and personality disorders, abscondence or discharge by initiation of the clinic, as well as being discharged to any place except the patient's home. There were no specific risk-factors for long-term readmission. Conclusions: To prevent readmissions after IA, especially for patients at risk, the aim of treatment strategies should be to focus on intensive discharge planning, enable continuous treatment in the outpatient setting, and provide social support.
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title_short	Predictors for early and long-term readmission in involuntarily admitted patients
url	https://doi.org/10.1016/j.comppsych.2023.152439 https://doaj.org/article/56e688e19b0a43f196d55e8c8e591168 http://www.sciencedirect.com/science/article/pii/S0010440X23000767 https://doaj.org/toc/0010-440X
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