Evidence map›Paper›PMID 39421394›Full record

ArticleSSM. Mental health2024

Suicide prevention-related Google searches and subsequent emergency department visits in California and Arizona, 2007-2015.

Hilary L Colbeth, Sidra Goldman-Mellor, Ellen A Eisen, Krista Neumann, Ralph Catalano, Corinne A Riddell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SSM. Mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Hilary L ColbethDivision of Epidemiology, School of Public Health, University of California, Berkeley, USA.
Sidra Goldman-MellorDepartment of Public Health, School of Social Sciences, Humanities and Arts, University of California, Merced, USA.
Ellen A EisenDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, USA.
Krista NeumannDivision of Epidemiology, School of Public Health, University of California, Berkeley, USA.
Ralph CatalanoDivision of Epidemiology, School of Public Health, University of California, Berkeley, USA.
Corinne A RiddellDivision of Epidemiology, School of Public Health, University of California, Berkeley, USA.

Funding

Targeted Research Training CoreT42OH008429 · OH · UNIVERSITY OF CALIFORNIA BERKELEY · PI HARRIS ADAMSON, CARISA · 2005 to 2024
$30.0M
Long-term health of adolescent suicide attempters: Healthcare utilization morbidity and costs.R15MH113108 · NIMH · UNIVERSITY OF CALIFORNIA, MERCED · PI GOLDMAN-MELLOR, SIDRA · 2017 to 2017
$564k
NIMH NIH HHS R15 MH113108NIOSH CDC HHS T42 OH008429
6 · The paper itself

Abstract

Introduction: United States emergency departments (ED) visit rates for nonfatal self-harm increased by 42% from 2001 to 2016. Previous suicide mortality research has provided conflicting evidence on the use of suicide-related Internet searches as a surveillance tool for self-harm and suicidal ideation. However, few have used rigorous approaches to account for autocorrelation at the aggregate level, and none have focused on Internet searches related to suicide prevention. Methods and results: Over a 9-year study period (2007-2015), suicidality-related search data were extracted using the Google Health Application Programming Interface (API) for Arizona and California - states, chosen for their differing age distributions and rigorous ED injury coding policies. We examined several combined suicide prevention-related search queries. Using autoregressive integration moving average (ARIMA) models and a Box-Jenkins approach, we assessed whether increased prevention-related Internet searches related to suicidality are predictive of lower subsequent ED visits related to suicidal ideation with or without self-harm injury. In both states, greater prevention-related queries were associated with lower ED visits approximately four to six weeks later. Conclusions: Our results indicate that Internet-based search volumes related to suicide prevention may have the potential to monitor suicidality and online suicide prevention resources offer meaningful opportunities for mental health support.

Indexed as

ARIMA modelsEmergency departmentsGoogle searchSuicidal ideationTime-series analysis

Identifiers

PMID39421394
PMCPMC11485599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.