Evidence map›Paper›PMID 30933688›Full record

ArticleGeneral hospital psychiatry

National study of emergency department disposition for high suicide risk geriatric patients.

Timothy Schmutte, Mark Olfson, Ming Xie, Steven C Marcus

Abstract read
In one paragraph

Article in General hospital psychiatry. 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
–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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
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

4 authors.

Timothy SchmutteYale University, Department of Psychiatry, Program for Recovery and Community Health, New Haven, CT, USA. Electronic address: timothy.schmutte@yale.edu.
Mark OlfsonColumbia University, Department of Psychiatry and the New York State Psychiatric Institute, New York, NY, USA.
Ming XieUniversity of Pennsylvania, Department of Psychiatry, Philadelphia, PA, USA.
Steven C MarcusUniversity of Pennsylvania, School of Social Policy & Practice, Philadelphia, PA, USA.

Funding

Improving the Emergency Department Management of Deliberate Self-HarmR01MH107452 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MARCUS, STEVEN C, OLFSON, MARK · 2016 to 2020
$4.3M
NIMH NIH HHS R01 MH107452
6 · The paper itself

Abstract

objectiveTo examine predictors of hospitalization among older adults at high risk for suicide treated in emergency departments (EDs).

methodsThis retrospective cohort analysis used national 2015 Medicare claims for adults ≥65 years with ED visits for suicide ideation or deliberate self-harm (N = 50,472) merged with data from the Area Health Resource File. Rates and adjusted risk ratios (ARR) of hospital admission were assessed.

resultsA majority of ED episodes resulted in hospital admission (81.9%) with most being admitted to a psychiatric unit (62.8%). Visits for self-harm with suicide ideation were most likely to result in hospitalization (94.7%) compared to suicide ideation alone (84.0%) or self-harm alone (73.1%). Current diagnosis of depression, bipolar, anxiety, cognitive, and personality disorder were associated with hospitalization. Co-occurring mental and substance use disorders were the most predictive mental health condition of admission. Overall, severity of current medical comorbidity was the strongest predictor of hospital admission.

conclusionsMost older adults treated in EDs for suicide ideation or self-harm are hospitalized. Medical morbidity plays a more prominent role than other patient factors in admission status.

Indexed as

Suicide PreventionAgedCohort StudiesComorbidityEmergency Service, HospitalFemaleHumansMaleMental DisordersOdds RatioPatient AdmissionRetrospective StudiesSelf-Injurious BehaviorSuicideUnited StatesEmergency departmentOlder adultsSuicide

Identifiers

PMID30933688
PMCPMC6500465

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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.