Evidence map›Paper›PMID 33948867›Full record

ArticleCommunity mental health journal2022

Rates and Correlates of Suicidality in VA Intensive Case Management Programs.

Somaia Mohamed

Abstract read
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In one paragraph

Article in Community mental health journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Somaia MohamedVA New England Mental Illness, Research, Education and Clinical Center, West Haven, CT, USA. Somaia.Mohamed@yale.edu.ORCID http://orcid.org/0000-0003-1775-5234
Yale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been extensive concern about suicide among veterans, but no study has examined rates and correlates of suicidality in the highly vulnerable group of veterans receiving Veterans Health Administration (VHA) intensive case management services. Veterans participating in a national program evaluation were surveyed at the time of program entry and 6 months later. Sociodemographic and clinical characteristics were documented along with elements of program service delivery. Chi square tests were used to compare rates of suicidality (defined as either having made or threatened an attempt) at baseline and at the 6-month follow-up. Analysis of variance was also used to compare suicidal and non-suicidal veterans at follow-up. Logistic regression analysis was then used to identify independent correlates of suicidality 6 months after program entry. Among the 9921 veterans who later completed follow-up assessments 989 (10.0%) had reported suicidal behavior at program entry as compared to only 250 (2.51%) at 6 months (p < 0.0001). Multivariable logistic regression analysis showed suicidality at 6 months to be associated with suicidality at admission, increased subjective distress on the Brief Symptom Inventory (especially on depression items), violent behavior and decreased quality of life since admission, along with a greater likelihood of receiving crisis intervention, but not other services. Among veterans receiving intensive case management services from VHA, suicidal behavior declined by 75% from admission to 6 months (10-2.5%) and was associated with suicidality prior to program entry, worsening subjective symptoms and greater receipt of crisis intervention services.

Indexed as

SuicideVeteransCase ManagementHumansQuality of LifeSuicidal IdeationIntensive case managementRural mental health servicesVA servicesVeterans issues

Identifiers

PMID33948867
OpenAlexW3158028830

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.