Evidence map›Paper›PMID 42649539›Full record

ArticlePsychiatric services (Washington, D.C.)2026

Discharge From Coordinated Specialty Care: Timing, Reasons, and Predictors in a National Early Psychosis Network.

Sümeyra N Tayfur, Jenifer L Vohs, Serena Chaudhry, Zhiqian Song, Fangyong Li, Nicholas J K Breitborde, John Cahill, Stephan Heckers, Audrey Satchivi, Steve Silverstein and 5 more

Abstract read
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

15 authors.

Sümeyra N TayfurSpecialized Treatment Early in Psychosis (STEP), Department of Psychiatry, Yale School of Medicine, New Haven.ORCID 0000-0002-5151-850X
Jenifer L VohsDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
Serena ChaudhryEarly Psychosis Intervention Clinic-New Orleans, Department of Psychiatry and Behavioral Sciences, Tulane University School of Medicine, New Orleans.
Zhiqian SongYale Center for Analytical Sciences, Yale School of Public Health, New Haven.
Fangyong LiYale Center for Analytical Sciences, Yale School of Public Health, New Haven.
Nicholas J K BreitbordeEarly Psychosis Intervention Center, Department of Psychiatry and Behavioral Health, Ohio State University College of Medicine, Columbus.ORCID 0000-0002-9877-3719
John CahillSpecialized Treatment Early in Psychosis (STEP), Department of Psychiatry, Yale School of Medicine, New Haven.
Stephan HeckersVanderbilt Early Psychosis Program, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville.
Audrey SatchiviDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
Steve SilversteinStrong Ties Young Adult Program, Department of Psychiatry, University of Rochester Medical Center, Rochester, NY.
Stephan F TaylorProgram for Risk Evaluation and Prevention Early Psychosis Clinic, Department of Psychiatry, University of Michigan Medical School, Ann Arbor.
Ivy F TsoEarly Psychosis Intervention Center, Department of Psychiatry and Behavioral Health, Ohio State University College of Medicine, Columbus.
Ashley WeissEarly Psychosis Intervention Clinic-New Orleans, Department of Psychiatry and Behavioral Sciences, Tulane University School of Medicine, New Orleans.
Alan BreierDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
Vinod H SrihariSpecialized Treatment Early in Psychosis (STEP), Department of Psychiatry, Yale School of Medicine, New Haven.ORCID 0000-0003-1556-2332

Funding

Academic-Community EPINET (AC-EPINET): Mitigating Barriers to CareR01MH120588 · NIMH · INDIANA UNIVERSITY INDIANAPOLIS · PI BREIER, ALAN · 2020 to 2023
$5.8M
STEP-ED:Reducing Duration of Untreated Psychosis and its Impact in the U.S.R01MH103831 · NIMH · YALE UNIVERSITY · PI SRIHARI, VINOD H. · 2013 to 2017
$3.9M
NIMH NIH HHS R01 MH103831NIMH NIH HHS R01 MH120588
6 · The paper itself

Abstract

objectiveRetention in coordinated specialty care (CSC) is critical for optimizing outcomes of first-episode psychosis, yet discharge from CSC is heterogeneous and poorly characterized. This study aimed to examine the timing of, reasons for, and predictors of discharge in a large early psychosis intervention network.

methodsData were drawn from the Academic-Community Early Psychosis Intervention Network. Participants (N=701) were followed for up to 36 months after CSC admission. Discharges were classified as positive, ambiguous, or adverse. Kaplan-Meier and competing-risk Cox models were used to examine time to discharge and baseline predictors, respectively.

resultsOver 36 months, 44% of participants were discharged. Ambiguous discharges were most common (55% of discharges), followed by adverse (28%) and positive (17%) discharges. Twenty-five percent of participants were discharged by 10 months. Positive discharge was associated with commercial insurance (hazard ratio [HR]=3.48, p=0.001) and weekly family contact (HR=3.96, p=0.02). A longer duration of untreated psychosis (HR=1.18, p=0.002), prior hospitalization (HR=1.66, p=0.03), and cannabis use (HR=1.81, p=0.005) increased the risk for ambiguous discharge, whereas living with family (HR=0.51, p=0.03) and older age (HR=0.93, p=0.008) were protective. Legal involvement increased the risk for adverse discharge (HR=2.40, p=0.02), whereas antipsychotic use at admission was protective (HR=0.55, p=0.02).

conclusionsDischarge from CSC programs reflects distinct clinical and structural pathways. Findings from this study highlight the need for early engagement strategies, improved discharge documentation, and strong transition supports to promote continuity of care in early psychosis services.

Indexed as

Coordinated Specialty CareDischargeDisengagementFirst-Episode PsychosisServices Research

Identifiers

PMID42649539
PMCPMC13654296

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.