Evidence map›Paper›PMID 35144585›Full record

ArticleBMC psychiatry2022

Suicide typologies among Medicaid beneficiaries, North Carolina 2014-2017.

Josie J Caves Sivaraman, Shabbar I Ranapurwala, Scott Proescholdbell, Rebecca B Naumann, Sandra B Greene, Stephen W Marshall

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Josie J Caves SivaramanDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA. josie.caves@duke.edu.ORCID 0000-0001-7768-4832
Shabbar I RanapurwalaDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Scott ProescholdbellNorth Carolina Department of Health and Human Services, Division of Public Health, Injury and Violence Prevention Branch, Raleigh, North Carolina, USA.
Rebecca B NaumannDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Sandra B GreeneDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Stephen W MarshallDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA.
University of North Carolina at Chapel Hill · USNC Department of Health and Human Services · US

Funding

UNC-CH TRAINING PROGRAM IN HEALTH SERVICES RESEARCHT32HS000032 · AHRQ · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HOLMES, GEORGE M · 1989 to 2024
$8.2M
UNC INJURY PREVENTION RESEARCH CENTERR49CE002479 · CE · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MARSHALL, STEPHEN WILLIAM · 2014 to 2018
$3.9M
AHRQ HHS T32 HS000032NCIPC CDC HHS R49 CE002479
6 · The paper itself

Abstract

backgroundThere is a well-established need for population-based screening strategies to identify people at risk of suicide. Because only about half of suicide decedents are ever diagnosed with a behavioral health condition, it may be necessary for providers to consider life circumstances that may also put individuals at risk. This study described the alignment of medical diagnoses with life circumstances by identifying suicide typologies among decedents. Demographics, stressful life events, suicidal behavior, perceived and diagnosed health problems, and suicide method contributed to the typologies.

methodsThis study linked North Carolina Medicaid and North Carolina Violent Death Reporting System (NC-VDRS) data for analysis in 2020. For suicide decedents from 2014 to 2017 aged 25-54 years, we analyzed 12 indicators of life circumstances from NC-VDRS and 6 indicators from Medicaid claims, using a latent class model. Separate models were developed for men and women.

resultsMost decedents were White (88.3%), with a median age of 41, and over 70% had a health care visit in the 90 days prior to suicide. Two typologies were identified in both males (n = 175) and females (n = 153). Both typologies had similar profiles of life circumstances, but one had high probabilities of diagnosed behavioral health conditions (45% of men, 71% of women), compared to low probabilities in the other (55% of men, 29% of women). Black beneficiaries and men who died by firearm were over-represented in the less-diagnosed class, though estimates were imprecise (odds ratio for Black men: 3.1, 95% confidence interval: 0.8, 12.4; odds ratio for Black women: 5.0, 95% confidence interval: 0.9, 31.2; odds ratio for male firearm decedents: 1.6, 95% confidence interval: 0.7, 3.4).

conclusionsNearly half of suicide decedents have a typology characterized by low probability of diagnosis of behavioral health conditions. Suicide screening could likely be enhanced using improved indicators of lived experience and behavioral health.

Indexed as

MedicaidSuicideCause of DeathFemaleHomicideHumansMaleNorth CarolinaPopulation SurveillanceUnited StatesEpidemiologyFirearmInjuryMedicaidMental healthSubstance useSuicideTypology

Identifiers

PMID35144585
PMCPMC8832648
OpenAlexW4211107274

What OpenQuestion holds

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Registered trials

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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.