Evidence map›Paper›PMID 42149475›Full record

ArticleJournal of psychopathology and clinical science2026

Using smartphone surveys to predict next-week suicide attempts.

Matthew K Nock, Evan M Kleiman, Kate H Bentley, Rebecca G Fortgang, Alexander J Millner, Kelly L Zuromski, Adam Bear, Alexis Christie, Merryn Daniel, Dylan DeMarco and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of psychopathology and clinical science, 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

25 authors.

Matthew K NockDepartment of Psychology, Harvard University.ORCID 0000-0001-6508-1145
Evan M KleimanDepartment of Psychology, Rutgers University.
Kate H BentleyDepartment of Psychology, Harvard University.
Rebecca G FortgangDepartment of Psychology, Harvard University.
Alexander J MillnerDepartment of Psychology, Harvard University.
Kelly L ZuromskiDepartment of Psychology, Harvard University.
Adam BearDepartment of Psychology, Harvard University.
Alexis ChristieDepartment of Psychology, Harvard University.
Merryn DanielDepartment of Psychology, Harvard University.
Dylan DeMarcoDepartment of Psychology, Harvard University.
Lia FolletDepartment of Psychology, Harvard University.
Flynn KellyDepartment of Psychology, Harvard University.
Hope NeveuxDepartment of Psychology, Harvard University.
Onyinye Obi-ObasiDepartment of Psychology, Harvard University.
Jordyn R RicardDepartment of Psychology, Harvard University.
Narise RamlalDepartment of Psychology, Harvard University.
Tida TambedouDepartment of Psychology, Harvard University.
Yaniv YacobyDepartment of Psychology, Harvard University.
Suzanne A BirdDepartment of Psychiatry, Massachusetts General Hospital.
Ralph BuonapaneFranciscan Children's/Boston Children's Hospital.
Abigail DonovanDepartment of Psychiatry, Massachusetts General Hospital.
Patrick MairDepartment of Psychology, Harvard University.
Jukka-Pekka OnnelaDepartment of Epidemiology, Harvard T.H. Chan School of Public Health.
Rosalind PicardMIT Media Lab.
Jordan W SmollerDepartment of Psychiatry, Massachusetts General Hospital.

Funding

Project-001P50MH129699 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI MATTHEW K NOCK, JORDAN W SMOLLER · 2023 to 2026
$16.6M
Intensive longitudinal study of suicidal behaviors and related health outcomesU01MH116928 · NIMH · HARVARD UNIVERSITY · PI NOCK, MATTHEW K · 2018 to 2022
$4.3M
Fuss Family Research FundNIMH NIH HHSNIMH NIH HHS P50 MH129699NIMH NIH HHS U01 MH116928Will and Chet Griswold Fund
6 · The paper itself

Abstract

Clinicians are tasked with predicting and preventing suicidal behavior among their patients; however, there is currently no method for accurately predicting whether a person will make a suicide attempt (SA) in the near future. We tested whether brief, smartphone-based surveys, combined with passively collected survey metadata, could predict the occurrence of suicidal behavior over the next 7 days among those at elevated risk. Participants were 619 patients presenting to the hospital with suicidal thoughts/behavior. They were sent brief (20-item) smartphone-based surveys 6 times/day for 3 months. Survey responses (

Indexed as

SmartphoneSuicide, AttemptedAdultFemaleHumansMachine LearningMaleMiddle AgedPredictive Learning ModelsSuicidal IdeationSurveys and QuestionnairesYoung Adult

Identifiers

PMID42149475
PMCPMC13308188

What OpenQuestion holds

Textmetadata
LicenceTDM
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.