Evidence map›Paper›PMID 36472968›Full record

ArticlePloS one2022

Granular analysis of pathways to care and durations of untreated psychosis: A marginal delay model.

Walter S Mathis, Maria Ferrara, Shadie Burke, Emily Hyun, Fangyong Li, Bin Zhou, John Cahill, Emily R Kline, Matcheri S Keshavan, Vinod H Srihari

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Personality domains in early stages of psychosis: a systematic review and meta-analysis.European archives of psychiatry and clinical neuroscience · 2026
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Walter S MathisDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0003-1341-2963
Maria FerraraDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Shadie BurkeDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Emily HyunDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Fangyong LiYale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, United States of America.
Bin ZhouYale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, United States of America.
John CahillDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Emily R KlineDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Matcheri S KeshavanDepartment of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Vinod H SrihariDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
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
NCATS NIH HHS UL1 TR001863NIMH NIH HHS R01 MH103831
6 · The paper itself

Abstract

objectiveAn extensive international literature demonstrates that understanding pathways to care (PTC) is essential for efforts to reduce community Duration of Untreated Psychosis (DUP). However, knowledge from these studies is difficult to translate to new settings. We present a novel approach to characterize and analyze PTC and demonstrate its value for the design and implementation of early detection efforts.

methodsType and date of every encounter, or node, along the PTC were encoded for 156 participants enrolled in the clinic for Specialized Treatment Early in Psychosis (STEP), within the context of an early detection campaign. Marginal-delay, or the portion of overall delay attributable to a specific node, was computed as the number of days between the start dates of contiguous nodes on the PTC. Sources of delay within the network of care were quantified and patient characteristic (sex, age, race, income, insurance, living, education, employment, and function) influences on such delays were analyzed via bivariate and mixed model testing.

resultsThe period from psychosis onset to antipsychotic prescription was significantly longer (52 vs. 20.5 days, [p = 0.004]), involved more interactions (3 vs. 1 nodes, [p<0.001]), and was predominated by encounters with non-clinical nodes while the period from antipsychotic to STEP enrollment was shorter and predominated by clinical nodes. Outpatient programs were the greatest contributor of marginal delays on both before antipsychotic prescription (median [IQR] of 36.5 [1.3-132.8] days) and (median [IQR] of 56 [15-210.5] days). Sharper functional declines in the year before enrollment correlated significantly with longer DUP (p<0.001), while those with higher functioning moved significantly faster through nodes (p<0.001). No other associations were found with patient characteristics and PTCs.

conclusionsThe conceptual model and analytic approach outlined in this study give first episode services tools to measure, analyze, and inform strategies to reduce untreated psychosis.

Identifiers

PMID36472968
PMCPMC9725156

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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.