Evidence map›Paper›PMID 35831289›Full record

ArticleTranslational psychiatry2022

Detecting and distinguishing indicators of risk for suicide using clinical records.

Brian K Ahmedani, Cara E Cannella, Hsueh-Han Yeh, Joslyn Westphal, Gregory E Simon, Arne Beck, Rebecca C Rossom, Frances L Lynch, Christine Y Lu, Ashli A Owen-Smith and 10 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

20 authors at 8 institutions in 1 country.

Brian K AhmedaniHenry Ford Health, Center for Health Policy & Health Services Research, 1 Ford Place, Suite 3A, Detroit, MI, 48202, USA. bahmeda1@hfhs.org.ORCID 0000-0003-4291-4516
Cara E CannellaHenry Ford Health, Public Health Sciences, Detroit, MI, USA.
Hsueh-Han YehHenry Ford Health, Center for Health Policy & Health Services Research, 1 Ford Place, Suite 3A, Detroit, MI, 48202, USA.
Joslyn WestphalHenry Ford Health, Center for Health Policy & Health Services Research, 1 Ford Place, Suite 3A, Detroit, MI, 48202, USA.
Gregory E SimonKaiser Permanente Washington, Health Research Institute, Seattle, WA, USA.
Arne BeckKaiser Permanente Colorado, Institute for Health Research, Aurora, CO, USA.
Rebecca C RossomHealthPartners Institute, Minneapolis, MN, USA.
Frances L LynchKaiser Permanente Northwest, Center for Health Research, Portland, OR, USA.
Christine Y LuHarvard Pilgrim Health Care Institute & Harvard Medical School, Department of Population Health, Boston, MA, USA.
Ashli A Owen-SmithGeorgia State University & Kaiser Permanente Georgia, Atlanta, GA, USA.
Kelsey J Sala-HamrickHenry Ford Health, Center for Health Policy & Health Services Research, 1 Ford Place, Suite 3A, Detroit, MI, 48202, USA.
Cathrine FrankHenry Ford Health, Behavioral Health Services, Detroit, MI, USA.
Esther AkinyemiHenry Ford Health, Behavioral Health Services, Detroit, MI, USA.
Ganj BeebaniHenry Ford Health, Behavioral Health Services, Detroit, MI, USA.ORCID 0000-0003-1910-5980
Christopher BusuitoHenry Ford Health, Behavioral Health Services, Detroit, MI, USA.
Jennifer M BoggsKaiser Permanente Colorado, Institute for Health Research, Aurora, CO, USA.
Yihe G DaidaKaiser Permanente Hawaii, Center for Integrated Health Care Research, Honolulu, HI, USA.
Stephen WaringEssentia Institute of Rural Health, Duluth, MN, USA.
Hongsheng GuiHenry Ford Health, Behavioral Health Services, Detroit, MI, USA.ORCID 0000-0002-0460-7446
Albert M LevinHenry Ford Health, Public Health Sciences, Detroit, MI, USA.
Henry Ford Health System · USBehavioral Health Services · USKaiser Permanente · USEssentia Health · USHarvard University · USHealthPartners · USKaiser Permanente Center for Health Research · USKaiser Permanente Washington Health Research Institute · US

Funding

SSRI's and SuicidalityU19MH092201 · NIMH · KAISER FOUNDATION RESEARCH INSTITUTE · PI SIMON, GREGORY E. · 2010 to 2018
$19.5M
Treatment Utilization Before Suicide (TUBS)R01MH103539 · NIMH · HENRY FORD HEALTH SYSTEM · PI AHMEDANI, BRIAN KENNETH · 2015 to 2018
$2.6M
NIMH NIH HHS R01 MH103539NIMH NIH HHS R01MH103539NIMH NIH HHS U19 MH092201NIMH NIH HHS U19MH092201
6 · The paper itself

Abstract

Health systems are essential for suicide risk detection. Most efforts target people with mental health (MH) diagnoses, but this only represents half of the people who die by suicide. This study seeks to discover and validate health indicators of suicide death among those with, and without, MH diagnoses. This case-control study used statistical modeling with health record data on diagnoses, procedures, and encounters. The study included 3,195 individuals who died by suicide from 2000 to 2015 and 249,092 randomly selected matched controls, who were age 18+ and affiliated with nine Mental Health Research Network affiliated health systems. Of the 202 indicators studied, 170 (84%) were associated with suicide in the discovery cohort, with 148 (86%) of those in the validation cohort. Malignant cancer diagnoses were risk factors for suicide in those without MH diagnoses, and multiple individual psychiatric-related indicators were unique to the MH subgroup. Protective effects across MH-stratified models included diagnoses of benign neoplasms, respiratory infections, and utilization of reproductive services. MH-stratified latent class models validated five subgroups with distinct patterns of indicators in both those with and without MH. The highest risk groups were characterized via high utilization with multiple healthcare concerns in both groups. The lowest risk groups were characterized as predominantly young, female, and high utilizers of preventive services. Healthcare data include many indicators of suicide risk for those with and without MH diagnoses, which may be used to support the identification and understanding of risk as well as targeting of prevention in health systems.

Indexed as

Mental DisordersSuicide PreventionAdolescentCase-Control StudiesFemaleHumansRisk FactorsSurveys and Questionnaires

Identifiers

PMID35831289
PMCPMC9279332
OpenAlexW4285083734

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.