Evidence map›Paper›PMID 34983463›Full record

ArticleBMC psychiatry2022

Community suicide rates and related factors within a surveillance platform in Western Kenya.

Linnet Ongeri, David A Larsen, Rachel Jenkins, Andrea Shaw, Hannah Connolly, James Lyon, Symon Kariuki, Brenda Penninx, Charles R Newton, Peter Sifuna and 1 more

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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

11 authors at 5 institutions in 4 countries.

Linnet OngeriKenya Medical Research Institute, Centre for Clinical Research, Nairobi, Kenya. linongeri@gmail.com.
David A LarsenSyracuse University Department of Public Health, Syracuse, NY, USA.
Rachel JenkinsKings College London, London, UK.
Andrea ShawInstitute for Global Health and Translational Science, SUNY Upstate Medical University, Syracuse, NY, USA.
Hannah ConnollyInstitute for Global Health and Translational Science, SUNY Upstate Medical University, Syracuse, NY, USA.
James LyonInstitute for Global Health and Translational Science, SUNY Upstate Medical University, Syracuse, NY, USA.
Symon KariukiKenya Medical Research Institute, Wellcome Trust Program, Kilifi, Kenya.
Brenda PenninxVrije University, Amsterdam, Netherlands.
Charles R NewtonKenya Medical Research Institute, Wellcome Trust Program, Kilifi, Kenya.
Peter SifunaKenya Medical Research Institute, Centre for Clinical Research, Nairobi, Kenya.
Bernhards OgutuKenya Medical Research Institute, Centre for Clinical Research, Nairobi, Kenya.
Kenya Medical Research Institute · KESUNY Upstate Medical University · USKing's College London · GBSyracuse University · USVrije Universiteit Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuicide is an important contributor to the burden of mental health disorders, but community-based suicide data are scarce in many low- and middle-income countries (LMIC) including Kenya. Available data on suicide underestimates the true burden due to underreporting related to stigma and legal restrictions, and under-representation of those not utilizing health facilities.

methodsWe estimated the cumulative incidence of suicide via verbal autopsies from the Health and Demographic Surveillance System (HDSS) in Kisumu County, Kenya. We then used content analysis of open history forms among deaths coded as accidents to identify those who likely died by suicide but were not coded as suicide deaths. We finally conducted a case-control study of suicides (both verbal autopsy confirmed and likely suicides) compared to accident-caused deaths to assess factors associated with suicide in this HDSS.

resultsA total of 33 out of 4306 verbal autopsies confirmed suicide as the cause of death. Content analysis of a further 228 deaths originally attributed to accidents identified 39 additional likely suicides. The best estimate of suicide-specific mortality rate was 14.7 per 100,000 population per year (credibility window = 11.3 - 18.0). The most common reported method of death was self-poisoning (54%). From the case-control study interpersonal difficulties and stressful life events were associated with increased odds of suicide in both confirmed suicides and confirmed combined with suspected suicides. Other pertinent factors such as age and being male differed depending upon which outcome was used.

conclusionSuicide is common in this area, and interventions are needed to address drivers. The twofold increase in the suicide-specific mortality rate following incorporation of misattributed suicide deaths exemplify underreporting and misclassification of suicide cases at community level. Further, verbal autopsies may underreport suicide specifically among older and female populations.

Indexed as

SuicideAutopsyCase-Control StudiesCause of DeathFemaleHumansKenyaMaleHealth Demographic Survey SystemKenyamental disordersrisk factorssuicideverbal autopsy

Identifiers

PMID34983463
PMCPMC8729019
OpenAlexW4206466446

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.