Evidence map›Paper›PMID 19018041›Full record

ArticleBMJ (Clinical research ed.)2008

Hospital admissions for self harm after discharge from psychiatric inpatient care: cohort study.

David Gunnell, Keith Hawton, Davidson Ho, Jonathan Evans, Susan O'Connor, John Potokar, Jenny Donovan, Nav Kapur

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Psychosocial interventions for self-harm in adults.The Cochrane database of systematic reviews · 2021
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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

8 authors.

David GunnellDepartment of Social Medicine, University of Bristol, Bristol BS8 2PR. d.j.gunnell@bristol.ac.uk
Keith Hawton
Davidson Ho
Jonathan Evans
Susan O'Connor
John Potokar
Jenny Donovan
Nav Kapur

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the risk of non-fatal self harm in the 12 months after discharge from psychiatric inpatient care.

designCohort study based on national hospital episode statistics.

settingEngland. Population Patients aged 16-64 years discharged from psychiatric inpatient care between 1 April 2004 and 31 March 2005 and followed up for one year.

results75 401 people were discharged from psychiatric inpatient care over the study period, 4935 (6.5%) of whom were admitted at least once for self harm in the following 12 months. Risk of self harm was greatest in the four weeks after discharge; one third (32%, n=1578) of admissions for self harm occurred in this period. The strongest risk factor for self harm after discharge was admission for self harm in the previous 12 months (hazard ratio 4.9, 95% confidence interval 4.6 to 5.2). The risk of self harm was also higher in females, younger people, those with diagnoses of depression, personality disorders, and substance misuse, and those with short lengths of stay.

conclusionMore than 6% of patients discharged from psychiatric inpatient care are readmitted for an episode of self harm within 12 months, with one third of these episodes occurring in the month after discharge. Self harm after discharge from hospital shares many of the features of suicide after discharge. Interventions should be developed to reduce risk in this period.

Indexed as

AdolescentAdultAge DistributionCohort StudiesEnglandFemaleHumansLength of StayMaleMental DisordersMiddle AgedPatient ReadmissionProportional Hazards ModelsPsychiatric Department, HospitalRisk FactorsSelf-Injurious Behavior

Identifiers

PMID19018041
PMCPMC2590882

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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.