Evidence map›Paper›PMID 33779997›Full record

ArticleActa psychiatrica Scandinavica2021

Childhood sexual abuse in patients with severe mental Illness: Demographic, clinical and functional correlates.

Nomi Werbeloff, Johan Hilge Thygesen, Joseph F Hayes, Essi M Viding, Sonia Johnson, David P J Osborn

Abstract read
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Article in Acta psychiatrica Scandinavica, 2021. 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

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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

6 authors.

Nomi WerbeloffThe Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel.ORCID 0000-0002-5485-615X
Johan Hilge ThygesenCamden and Islington NHS Foundation Trust, London, UK.
Joseph F HayesDivision of Psychiatry, University College London, London, UK.ORCID 0000-0003-2286-3862
Essi M VidingDivision of Psychology & Language Sciences, University College London, London, UK.
Sonia JohnsonDivision of Psychiatry, University College London, London, UK.
David P J OsbornDivision of Psychiatry, University College London, London, UK.ORCID 0000-0003-2519-1539

Funding

Medical Research Council MC_PC_17216
6 · The paper itself

Abstract

objectiveTo use data from electronic health records (EHRs) to describe the demographic, clinical and functional correlates of childhood sexual abuse (CSA) in patients with severe mental illness (SMI), and compare their clinical outcomes (admissions and receipt of antipsychotic medications) to those of patients with no recorded history of CSA.

methodsWe applied a string-matching technique to clinical text records of 7000 patients with SMI (non-organic psychotic disorders or bipolar disorder), identifying 619 (8.8%) patients with a recorded history of CSA. Data were extracted from both free-text and structured fields of patients' EHRs.

resultsComorbid diagnoses of major depressive disorder, post-traumatic stress disorder and personality disorders were more prevalent in patients with CSA. Positive psychotic symptoms, depressed mood, self-harm, substance use and aggression were also more prevalent in this group, as were problems with relationships and living conditions. The odds of inpatient admissions were higher in patients with CSA than in those without (adjusted OR = 1.95, 95% CI: 1.64-2.33), and they were more likely to have spent more than 10 days per year as inpatients (adjusted OR = 1.32, 95% CI: 1.07-1.62). Patients with CSA were more likely to be prescribed antipsychotic medications (adjusted OR = 2.48, 95% CI: 1.69-3.66) and be given over 75% of the maximum recommended daily dose (adjusted OR = 1.72, 95% CI: 1.44-2.04).

conclusionData-driven approaches are a reliable, promising avenue for research on childhood trauma. Clinicians should be trained and skilled at identifying childhood adversity in patients with SMI, and addressing it as part of the care plan.

Indexed as

Child Abuse, SexualMajor Depressive DisorderPsychotic DisordersSex OffensesStress Disorders, Post-TraumaticChildDemographyHumanschildhood traumapsychotic disorderssexual abuse

Identifiers

PMID33779997
PMCPMC8252558

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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.