Evidence map›Paper›PMID 36547684›Full record

ArticleSocial psychiatry and psychiatric epidemiology2023

Military veterans and civilians' mental health diagnoses: an analysis of secondary mental health services.

Charlotte Williamson, Laura Palmer, Daniel Leightley, David Pernet, David Chandran, Ray Leal, Dominic Murphy, Nicola T Fear, Sharon A M Stevelink

Open access · hybridAbstract read
In one paragraph

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Charlotte WilliamsonKing's Centre for Military Health Research, King's College London, Weston Education Centre, London, SE5 9RJ, UK. charlotte.1.williamson@kcl.ac.uk.ORCID http://orcid.org/0000-0003-2104-921X
Laura PalmerKing's Centre for Military Health Research, King's College London, Weston Education Centre, London, SE5 9RJ, UK.ORCID http://orcid.org/0000-0001-8559-5709
Daniel LeightleyKing's Centre for Military Health Research, King's College London, Weston Education Centre, London, SE5 9RJ, UK.ORCID http://orcid.org/0000-0001-9512-752X
David PernetKing's Centre for Military Health Research, King's College London, Weston Education Centre, London, SE5 9RJ, UK.ORCID http://orcid.org/0000-0002-7469-0150
David ChandranDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.ORCID http://orcid.org/0000-0002-0123-666X
Ray LealKing's Centre for Military Health Research, King's College London, Weston Education Centre, London, SE5 9RJ, UK.
Dominic MurphyKing's Centre for Military Health Research, King's College London, Weston Education Centre, London, SE5 9RJ, UK.ORCID http://orcid.org/0000-0002-9530-2743
Nicola T Fear *King's Centre for Military Health Research, King's College London, Weston Education Centre, London, SE5 9RJ, UK.ORCID http://orcid.org/0000-0002-5792-2925
Sharon A M Stevelink *King's Centre for Military Health Research, King's College London, Weston Education Centre, London, SE5 9RJ, UK.ORCID http://orcid.org/0000-0002-7655-7986
King's College London · GB

Funding

Forces in Mind Trust FiMT18/0525KCL
6 · The paper itself

Abstract

purposeHealthcare provision in the United Kingdom (UK) falls primarily to the National Health Service (NHS) which is free at the point of access. In the UK, there is currently no national marker to identify military veterans in electronic health records, nor a requirement to record it. This study aimed to compare the sociodemographic characteristics and recorded mental health diagnoses of a sample of veterans and civilians accessing secondary mental health services.

methodsThe Military Service Identification Tool, a machine learning computer tool, was employed to identify veterans and civilians from electronic health records. This study compared the sociodemographic characteristics and recorded mental health diagnoses of veterans and civilians accessing secondary mental health care from South London and Maudsley NHS Foundation Trust, UK. Data from 2,576 patients were analysed; 1288 civilians and 1288 veterans matched on age and gender.

resultsDepressive disorder was the most prevalent across both groups in the sample (26.2% veterans, 15.5% civilians). The present sample of veterans accessing support for mental health conditions were significantly more likely to have diagnoses of anxiety, depressive, psychosis, personality, and stress disorders (AORs ranging 1.41-2.84) but less likely to have a drug disorder (AOR = 0.51) than age- and gender-matched civilians.

conclusionVeterans accessing secondary mental health services in South London had higher risks for many mental health problems than civilians accessing the same services. Findings suggest that military career history is a key consideration for probable prognosis and treatment, but this needs corroborating in other geographical areas including national population-based studies in the UK.

Indexed as

Mental Health ServicesMilitary PersonnelVeteransHumansMental HealthState MedicineArmed forcesCivilianMental healthMilitarySecondary healthcareVeteran

Identifiers

PMID36547684
PMCPMC10261174
OpenAlexW4312094130

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.