Evidence map›Paper›PMID 24881161›Full record

ReviewCanadian journal of psychiatry. Revue canadienne de psychiatrie2014

Preventing suicide among inpatients.

Isaac Sakinofsky

Abstract readReview
In one paragraph

Review in Canadian journal of psychiatry. Revue canadienne de psychiatrie, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  15. [Why do we require clinical guidelines for suicide prevention?]Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022
    Review
  16. Article
  17. Review
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  20. Identifying a probable suicide cluster in an acute care psychiatric hospital in the Eastern Cape, South Africa.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2021
    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.

Isaac Sakinofsky

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveInpatient suicide comprises a proportionately small but clinically important fraction of suicide. This study is intended as a qualitative analysis of the comprehensive English literature, highlighting what is known and what can be done to prevent inpatient suicide.

methodA systematic search was conducted on the Cochrane Library, PubMed, Embase, Web of Knowledge, and a personal database for articles on cohort series, preferably controlled, of inpatient suicide (not deliberate self-harm or attempted suicide, unless they also dealt specifically with suicide data).

resultsA qualitative discussion is presented, based on the findings of the literature searched.

conclusionsThe bulk of inpatient suicides actually occur not on the ward but off premises, when the patient was on leave or had absconded. Peaks occur shortly after admission and discharge. It is possible to reduce suicide risk on the ward by having a safe environment, optimizing patient visibility, supervising patients appropriately, careful assessment, awareness of and respect for suicide risk, good teamwork and communication, and adequate clinical treatment.

Indexed as

Suicide PreventionAttitude of Health PersonnelCohort StudiesCross-Sectional StudiesEmergency Service, HospitalGuideline AdherenceHospital Design and ConstructionHumansInpatientsPatient Care TeamPsychiatric Department, HospitalRisk FactorsSafety ManagementSocial EnvironmentSuicideTreatment Refusal

Identifiers

PMID24881161
PMCPMC4079240

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.