Evidence map›Paper›PMID 30877803›Full record

ArticleMilitary medicine2019

Comparison of National and Local Approaches to Detecting Suicides in Healthcare Settings.

Natalie B Riblet, Brian Shiner, Bradley V Watts, Peter Britton

Abstract read
In one paragraph

Article in Military medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Natalie B RibletVeterans Affairs Medical Center, White River Junction, VT.
Brian ShinerVeterans Affairs Medical Center, White River Junction, VT.
Bradley V WattsGeisel School of Medicine at Dartmouth College, Hanover, NH.
Peter BrittonVISN 2, Center of Excellence for Suicide Prevention, Department of Veterans Affairs, Canandaigua Medical Center, Canandaigua, NY.

Funding

HSRD VA IK2 HX000854Intramural VA VA999999
6 · The paper itself

Abstract

introductionIn order to address the problem of suicide, healthcare providers and researchers must be able to accurately identify suicide deaths. Common approaches to detecting suicide in the healthcare setting include the National Death Index (NDI) and Root-Cause Analysis (RCA) methodology. No study has directly compared these two methods. MATERIALS AND

methodsSuicide reporting was evaluated within the Veterans Affairs (VA) healthcare system. All suicides were included that occurred within 7 days of discharge from an inpatient mental health unit and were reported to the VA through the NDI record linkage and/or RCA database between 2002 and 2014. The proportion of suicide deaths that were identified by NDI and found in the RCA database were calculated. Potential misclassification by the NDI was evaluated, whereby the RCA database identified a suicide case, but the NDI classified the death as a non-suicide.

resultsIn the study period, the NDI identified 222 patients who died by suicide within 7 days of discharge, while the RCA database only detected 95 reports of suicide. A comparison of cases across the two methods indicated that the RCA database identified only 35% (N = 78) of NDI detected suicides (N = 222). Conversely, the RCA database detected 13 suicide cases that the NDI had coded as deaths due to accidental poisoning or other causes. Importantly, RCA accounted for 13% (N = 7) of overdose suicides identified in all databases (N = 52).

conclusionsCombining national and local approaches to detect suicide may help to improve the classification of suicide deaths in the healthcare setting.

Indexed as

Geographic MappingSuicideAdultCause of DeathChi-Square DistributionCohort StudiesFemaleHealth Care SectorHumansMaleMiddle AgedPatient DischargePopulation SurveillanceProgram EvaluationRoot Cause AnalysisStatistics, Nonparametricpublic health surveillanceroot cause analysissuicide

Identifiers

PMID30877803
PMCPMC8801297

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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.