Evidence map›Paper›PMID 42501837›Full record

ArticleJournal of affective disorders2026

Factors associated with long-term suicide risk severity among youth in community behavioral health care.

Albert Y H Lo, Sarah Mazen, Peyton Williams, Gareth J Parry, Akhil Reddy, Katie E Holmes, Sage Herbert, Sharon-Lise Normand, Philip S Wang, Marcela Horvitz-Lennon and 3 more

Abstract read
In one paragraph

Article in Journal of affective disorders, 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

13 authors.

Albert Y H LoHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States; Harvard Medical School, Department of Psychiatry, Boston, MA, United States. Electronic address: alo@cha.harvard.edu.
Sarah MazenHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States.
Peyton WilliamsHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States.
Gareth J ParryHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States; Harvard Medical School, Department of Psychiatry, Boston, MA, United States.
Akhil ReddyHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States.
Katie E HolmesHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States.
Sage HerbertHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States.
Sharon-Lise NormandHarvard Medical School, Department of Psychiatry, Boston, MA, United States; Harvard School of Public Health, Boston, MA, United States.
Philip S WangHarvard Medical School, Department of Psychiatry, Boston, MA, United States; Center for Learning Health Systems, Brigham and Women's Hospital, Boston, MA, United States.
Marcela Horvitz-LennonHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States; Harvard Medical School, Department of Psychiatry, Boston, MA, United States; Rand Corporation (Health), Boston, MA, United states.
Matthew K NockDepartment of Psychology, Harvard University, Cambridge, MA, United States.
Benjamin Lê CookHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States; Harvard Medical School, Department of Psychiatry, Boston, MA, United States.
Nicholas J CarsonHealth Evaluation Research Lab, Cambridge Health Alliance, Cambridge, MA, United States; Harvard Medical School, Department of Psychiatry, Boston, MA, United States.

Funding

Understanding the Role of Trauma Over the Lifecourse in Order to Improve Trauma-informed TreatmentP50MH126283 · NIMH · CAMBRIDGE HEALTH ALLIANCE · PI COOK, BENJAMIN LE, WANG, PHILIP S · 2021 to 2024
$6.6M
NIMH NIH HHS P50 MH126283
6 · The paper itself

Abstract

purposeWe aimed to identify factors associated with long-term suicide risk severity among youth who received treatment in a community mental health setting.

methodParticipants were 100 adolescents who began outpatient behavioral health services between 2017 and 2019 (Initial Treatment) and completed a follow-up survey approximately five years later in 2023 (Survey). Suicide risk severity was measured by the Computerized Adaptive Test-Mental Health (CAT-MH) at time of Survey. Covariates included EHR-based sociocontextual, diagnostic, and service-related information at time of Initial Treatment, self-reports of social determinants of health and treatment experiences retrospective to time of Initial Treatment, and the frequency of behavioral health treatment sessions (≥4 vs <4 visits per 3-month quarter) during Initial Treatment. Exclusive LASSO and ordinary least square regressions identified covariates and estimated associations between covariates and suicide risk severity. We also tested interactions between treatment frequency and treatment experiences.

resultsEmergency department use had a significant association with longer-term suicide risk severity. DISCUSSION: Emergency department use, and its associated significant illness severity, may be associated with increased suicide severity risk for youth even multiple years later. Further research on the interaction between frequency of treatment and patient perceptions of care on future health outcomes would be valuable.

Indexed as

Community Mental Health ServicesMental DisordersSuicideAdolescentEmergency Room VisitsEmergency Service, HospitalFemaleHumansMaleRisk FactorsSeverity of Illness IndexCommunity mental healthPatient experienceSuicideTreatment frequencyYouth

Identifiers

PMID42501837
PMCPMC13551668

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.