Evidence map›Paper›PMID 42383579›Full record

ReviewEarly intervention in psychiatry2026

Clinical High-Risk for Psychosis in Latinx Populations: Common Issues and Recommendations for Improving Care.

Daylin Delgado, Sydney H James, Gregory P Strauss, Thania Galvan

Abstract readReview
In one paragraph

Review in Early intervention in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Daylin DelgadoDepartment of Psychology, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-5943-9603
Sydney H JamesDepartment of Psychology, University of Georgia, Athens, Georgia, USA.
Gregory P StraussDepartment of Psychology, University of Georgia, Athens, Georgia, USA.
Thania GalvanDepartment of Psychology, University of Georgia, Athens, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimCurrent estimates suggest that about 1.7% of the general population meets criteria for clinical high-risk for psychosis (CHR), but Latinx individuals are more likely to be at higher risk due to factors that could inflate rates of symptomatology. Disparities in screening, access to services, and intervention for Latinx individuals at CHR persist despite calls to action.

methodsThrough the lens of service utilisation models, the present narrative review builds on prior calls to action by summarising the literature and providing culturally sensitive recommendations for clinicians and researchers.

resultsDisparities include challenges in the identification of need for services by individuals and their social networks, the lack of culturally appropriate tools and interventions across community and specialty settings, and barriers to service retention and engagement. DISCUSSION: In response, recommendations include disseminating psychoeducational materials and programs to Latinx communities, creating norms for Latinx individuals for standard screeners and clinical interviews, increasing specialised trainings for providers in different settings, and making psychosis-related research in Latinx populations more accessible through open science practices.

Indexed as

Healthcare DisparitiesHispanic or LatinoMental Health ServicesPsychotic DisordersHealth Services AccessibilityHumansclinical high‐risk for psychosishealthcare disparities [or health inequities]health planning guidelinesHispanic or Latinoreview

Identifiers

PMID42383579
PMCPMC13321773

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.