Design of a multicenter randomized controlled trial of a post‐discharge suicide prevention intervention for high‐risk psychiatric inpatients: The Veterans Coordinated Community Care Study.
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| Title: | Design of a multicenter randomized controlled trial of a post‐discharge suicide prevention intervention for high‐risk psychiatric inpatients: The Veterans Coordinated Community Care Study. |
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| Authors: | Weinstock, Lauren M. (AUTHOR), Bishop, Todd M. (AUTHOR), Bauer, Mark S. (AUTHOR), Benware, Jeffrey (AUTHOR), Bossarte, Robert M. (AUTHOR), Bradley, John (AUTHOR), Dobscha, Steven K. (AUTHOR), Gibbs, Jessica (AUTHOR), Gildea, Sarah M. (AUTHOR), Graves, Hannah (AUTHOR), Haas, Gretchen (AUTHOR), House, Samuel (AUTHOR), Kennedy, Chris J. (AUTHOR), Landes, Sara J. (AUTHOR), Liu, Howard (AUTHOR), Luedtke, Alex (AUTHOR), Marx, Brian P. (AUTHOR), Miller, Aletha (AUTHOR), Nock, Matthew K. (AUTHOR), Owen, Richard R. (AUTHOR) |
| Source: | International Journal of Methods in Psychiatric Research. Dec2024, Vol. 33 Issue 4, p1-13. 13p. |
| Subjects: | Machine learning, Clinical trial registries, Treatment effect heterogeneity, Suicide prevention, Randomized controlled trials |
| Abstract: | Background: The period after psychiatric hospital discharge is one of elevated risk for suicide‐related behaviors (SRBs). Post‐discharge clinical outreach, although potentially effective in preventing SRBs, would be more cost‐effective if targeted at high‐risk patients. To this end, a machine learning model was developed to predict post‐discharge suicides among Veterans Health Administration (VHA) psychiatric inpatients and target a high‐risk preventive intervention. Methods: The Veterans Coordinated Community Care (3C) Study is a multicenter randomized controlled trial using this model to identify high‐risk VHA psychiatric inpatients (n = 850) randomized with equal allocation to either the Coping Long Term with Active Suicide Program (CLASP) post‐discharge clinical outreach intervention or treatment‐as‐usual (TAU). The primary outcome is SRBs over a 6‐month follow‐up. We will estimate average treatment effects adjusted for loss to follow‐up and investigate the possibility of heterogeneity of treatment effects. Results: Recruitment is underway and will end September 2024. Six‐month follow‐up will end and analysis will begin in Summer 2025. Conclusion: Results will provide information about the effectiveness of CLASP versus TAU in reducing post‐discharge SRBs and provide guidance to VHA clinicians and policymakers about the implications of targeted use of CLASP among high‐risk psychiatric inpatients in the months after hospital discharge. Clinical trials registration: ClinicalTrials.Gov identifier: NCT05272176 (https://www.clinicaltrials.gov/ct2/show/NCT05272176). [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Methods in Psychiatric Research is the property of Wiley-Blackwell 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 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 181921981 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Design of a multicenter randomized controlled trial of a post‐discharge suicide prevention intervention for high‐risk psychiatric inpatients: The Veterans Coordinated Community Care Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Weinstock%2C+Lauren+M%2E%22">Weinstock, Lauren M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bishop%2C+Todd+M%2E%22">Bishop, Todd M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bauer%2C+Mark+S%2E%22">Bauer, Mark S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Benware%2C+Jeffrey%22">Benware, Jeffrey</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bossarte%2C+Robert+M%2E%22">Bossarte, Robert M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bradley%2C+John%22">Bradley, John</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dobscha%2C+Steven+K%2E%22">Dobscha, Steven K.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gibbs%2C+Jessica%22">Gibbs, Jessica</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gildea%2C+Sarah+M%2E%22">Gildea, Sarah M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Graves%2C+Hannah%22">Graves, Hannah</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Haas%2C+Gretchen%22">Haas, Gretchen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22House%2C+Samuel%22">House, Samuel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kennedy%2C+Chris+J%2E%22">Kennedy, Chris J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Landes%2C+Sara+J%2E%22">Landes, Sara J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Howard%22">Liu, Howard</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luedtke%2C+Alex%22">Luedtke, Alex</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marx%2C+Brian+P%2E%22">Marx, Brian P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Miller%2C+Aletha%22">Miller, Aletha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nock%2C+Matthew+K%2E%22">Nock, Matthew K.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Owen%2C+Richard+R%2E%22">Owen, Richard R.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Methods+in+Psychiatric+Research%22">International Journal of Methods in Psychiatric Research</searchLink>. Dec2024, Vol. 33 Issue 4, p1-13. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+trial+registries%22">Clinical trial registries</searchLink><br /><searchLink fieldCode="DE" term="%22Treatment+effect+heterogeneity%22">Treatment effect heterogeneity</searchLink><br /><searchLink fieldCode="DE" term="%22Suicide+prevention%22">Suicide prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Randomized+controlled+trials%22">Randomized controlled trials</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: The period after psychiatric hospital discharge is one of elevated risk for suicide‐related behaviors (SRBs). Post‐discharge clinical outreach, although potentially effective in preventing SRBs, would be more cost‐effective if targeted at high‐risk patients. To this end, a machine learning model was developed to predict post‐discharge suicides among Veterans Health Administration (VHA) psychiatric inpatients and target a high‐risk preventive intervention. Methods: The Veterans Coordinated Community Care (3C) Study is a multicenter randomized controlled trial using this model to identify high‐risk VHA psychiatric inpatients (n = 850) randomized with equal allocation to either the Coping Long Term with Active Suicide Program (CLASP) post‐discharge clinical outreach intervention or treatment‐as‐usual (TAU). The primary outcome is SRBs over a 6‐month follow‐up. We will estimate average treatment effects adjusted for loss to follow‐up and investigate the possibility of heterogeneity of treatment effects. Results: Recruitment is underway and will end September 2024. Six‐month follow‐up will end and analysis will begin in Summer 2025. Conclusion: Results will provide information about the effectiveness of CLASP versus TAU in reducing post‐discharge SRBs and provide guidance to VHA clinicians and policymakers about the implications of targeted use of CLASP among high‐risk psychiatric inpatients in the months after hospital discharge. Clinical trials registration: ClinicalTrials.Gov identifier: NCT05272176 (https://www.clinicaltrials.gov/ct2/show/NCT05272176). [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Methods in Psychiatric Research is the property of Wiley-Blackwell 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: 10.1002/mpr.70003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Machine learning Type: general – SubjectFull: Clinical trial registries Type: general – SubjectFull: Treatment effect heterogeneity Type: general – SubjectFull: Suicide prevention Type: general – SubjectFull: Randomized controlled trials Type: general Titles: – TitleFull: Design of a multicenter randomized controlled trial of a post‐discharge suicide prevention intervention for high‐risk psychiatric inpatients: The Veterans Coordinated Community Care Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Weinstock, Lauren M. – PersonEntity: Name: NameFull: Bishop, Todd M. – PersonEntity: Name: NameFull: Bauer, Mark S. – PersonEntity: Name: NameFull: Benware, Jeffrey – PersonEntity: Name: NameFull: Bossarte, Robert M. – PersonEntity: Name: NameFull: Bradley, John – PersonEntity: Name: NameFull: Dobscha, Steven K. – PersonEntity: Name: NameFull: Gibbs, Jessica – PersonEntity: Name: NameFull: Gildea, Sarah M. – PersonEntity: Name: NameFull: Graves, Hannah – PersonEntity: Name: NameFull: Haas, Gretchen – PersonEntity: Name: NameFull: House, Samuel – PersonEntity: Name: NameFull: Kennedy, Chris J. – PersonEntity: Name: NameFull: Landes, Sara J. – PersonEntity: Name: NameFull: Liu, Howard – PersonEntity: Name: NameFull: Luedtke, Alex – PersonEntity: Name: NameFull: Marx, Brian P. – PersonEntity: Name: NameFull: Miller, Aletha – PersonEntity: Name: NameFull: Nock, Matthew K. – PersonEntity: Name: NameFull: Owen, Richard R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10498931 Numbering: – Type: volume Value: 33 – Type: issue Value: 4 Titles: – TitleFull: International Journal of Methods in Psychiatric Research Type: main |
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