Evidence map›Paper›PMID 37029322›Full record

ArticleSocial psychiatry and psychiatric epidemiology2023

Self-harm and rurality in Canada: an analysis of hospitalization data from 2015 to 2019.

Newsha Mahinpey, Nathaniel J Pollock, Li Liu, Gisèle Contreras, Wendy Thompson

Abstract read
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Article in Social psychiatry and psychiatric epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

5 authors.

Newsha MahinpeyCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada.
Nathaniel J PollockCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada. nathaniel.pollock@phac-aspc.gc.ca.ORCID http://orcid.org/0000-0001-5699-7661
Li LiuCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0001-9251-0603
Gisèle ContrerasCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0003-2788-1533
Wendy ThompsonCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0002-0177-998X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe incidence of self-harm is an important indicator in suicide surveillance and a target outcome for suicide prevention. Self-harm rates vary by geographic location and rurality appears to be a risk factor. The objectives of this study were to estimate rates of self-harm hospitalization in Canada over a 5-year period by sex and age group, and examine relationships between self-harm and rurality.

methodsHospitalizations related to self-harm were identified in a national dataset (the Discharge Abstract Database) for all patients aged 10 years or older who were discharged from hospital between 2015 and 2019. Self-harm hospitalization rates were calculated and stratified by year, sex, age group, and level of rurality, as measured using the Index of Remoteness. A Poisson regression was fit to estimate rate ratios for the levels of rurality.

resultsRates of self-harm hospitalization were higher for females than males across all levels of rurality and increased with each level for both sexes, except for among young males. The widest rural-to-urban disparities were observed for the 10-19 and 20-34-year old age groups. Females aged 10-19 in very remote areas had the highest self-harm hospitalization rate.

conclusionThe rate of self-harm hospitalization in Canada varied by sex, age group, and level of rurality. Clinical and community-based interventions for self-harm, such as safety planning and increased access to mental health services, should be tailored to the differential risks across geographic contexts.

Indexed as

Self-Injurious BehaviorSuicideCanadaFemaleHospitalizationHumansMaleSuicide PreventionAdministrative dataHealth disparitiesRuralSelf-inflicted injurySuicideSurveillanceUrban

Identifiers

PMID37029322
PMCPMC10081931

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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.