Evidence map›Paper›PMID 22796102›Full record

ArticlePsychiatry research2012

Warning signs for suicide within a week of healthcare contact in Veteran decedents.

Peter C Britton, Mark A Ilgen, M David Rudd, Kenneth R Conner

Abstract read
In one paragraph

Article in Psychiatry research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Suicide risk around the world: a meta-analysis of longitudinal studies.Social psychiatry and psychiatric epidemiology · 2019
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  14. Which PHQ-9 Items Can Effectively Screen for Suicide? Machine Learning Approaches.International journal of environmental research and public health · 2021
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  20. Health care contacts in the year before suicide death.Journal of general internal medicine · 2014
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Peter C BrittonVISN 2 Center of Excellence for Suicide Prevention, Department of Veteran Affairs Medical Center, Canandaigua, NY, USA. peter.britton@va.gov
Mark A Ilgen
M David Rudd
Kenneth R Conner

Funding

Motivational Interviewing to Prevent Suicide in High Risk VeteransIK2CX000641 · VA · SYRACUSE VA MEDICAL CENTER · PI BRITTON, PETER C · 2012 to 2016
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CSRD VA IK2 CX000641Intramural VA VA999999
6 · The paper itself

Abstract

objectivesThis study examined warning signs for suicide observed in the final day(s) of life in Veteran decedents who received healthcare from Veterans Health Administration (VHA) (N=381), using data obtained from detailed chart reviews.

methodsVeterans who died within a week (7 days) of healthcare contact (18%) were compared to those who died later (82%). Multivariate logistic regression was used to examine differences in suicidal thoughts, psychiatric symptoms, and somatic symptoms as documented at the last visit, after controlling for demographic variables. A second multivariate regression examined whether the identified warning signs were also risk factors for suicide within a month (30 days) of contact.

resultsDocumented suicidal ideation, OR (95% CI)=3.46 (1.15-10.38), and psychotic symptoms, OR (95% CI)=2.67 (1.11-6.42), at the last visit increased the likelihood of suicide within a week of healthcare contact. Both variables also increased the odds of suicide within a month of contact.

conclusionsThe assessment of suicidal ideation is critical to identify Veterans at immediate risk. However, recognition of psychotic symptoms may also improve identification. In addition to indicating immediate risk, some warning signs may also suggest on-going risk.

Indexed as

Suicidal IdeationVeterans HealthAdolescentAdultAgedAged, 80 and overDelivery of Health CareDepressionDepressive DisorderFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSuicide

Identifiers

PMID22796102
PMCPMC5064427

What OpenQuestion holds

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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.