Evidence map›Paper›PMID 38549065›Full record

ArticleBMC psychiatry2024

Gender-specific pathways in mental health crisis in adolescents, from consultation to (in)voluntary admission: a retrospective study.

Linda Dil, Saskia Mérelle, Nick Lommerse, Jaap Peen, Pety So, Rien Van, Jeroen Zoeteman, Jack Dekker

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2024. 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
3.2field-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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. The Association Between Negative Online Behaviours and Problematic Social Media Use in Adolescents: Comparing Psychiatric Inpatients and Community Participants.Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors at 1 institution in 1 country.

Linda DilNPI, Arkin, Buikslotermeerplein 420, 1025 WP, Amsterdam, The Netherlands. linda.dil@npsai.nl.
Saskia MérelleResearch Department 113 Zelfmoordpreventie, Paasheuvelweg 25, 1105 BP, Amsterdam, The Netherlands.
Nick LommerseResearch Department Arkin, Klaprozenweg 111, 1033 NN, Amsterdam, The Netherlands.
Jaap PeenResearch Department Arkin, Klaprozenweg 111, 1033 NN, Amsterdam, The Netherlands.
Pety SoYouz, Center for Youth Mental Healthcare, Lupinestraat 1, 2906CV, Capelle a/d IJssel, The Netherlands.
Rien VanNPI, Arkin, Domselaerstraat 126, 1093 MB, Amsterdam, The Netherlands.
Jeroen ZoetemanPsychiatric Emergency Service, Arkin, 1 e Constantijn Huijgensstraat 38, 1054 BR, Amsterdam, The Netherlands.
Jack DekkerDepartment of Clinical Psychology, VU Faculties, De Boelelaan 1105, 1081 HV, Amsterdam, The Netherlands.
Arkin · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA strong increase in mental health emergency consultations and admissions in youths has been reported in recent years. Although empirical evidence is lacking, gender differences in risk of admission may have contributed to this increase. A clearer understanding of the relationship, if any, between gender and various aspects of (in)voluntary care would help in more evidence-based service planning.

methodsWe analysed registry data for 2008-2017 on 3770 outpatient emergencies involving young people aged 12 to 18 years from one urban area in the Netherlands, served by outreaching psychiatric emergency services. These adolescents were seen in multiple locations and received a psychosocial assessment including a questionnaire on the severity of their problems and living conditions. Our aims were to (a) investigate the different locations, previous use of mental health service, DSM classifications, severity items, living conditions and family characteristics involved and (b) identify which of these characteristics in particular contribute to an increased risk of admission.

resultsIn 3770 consultations (concerning 2670 individuals), more girls (58%) were seen than boys. Boys and girls presented mainly with relationship problems, followed by disruptive disorders and internalizing disorders. Diagnostic differences diminished in hospitalisation. More specifically, disruptive disorders were evenly distributed. Suicide risk was rated significantly higher in girls, danger to others significantly higher in boys. More girls than boys had recently been in mental health care prior to admission. Although boys and girls overall did not differ in the severity of their problems, female gender predicted admission more strongly. In both boys and girls severity of problems and lack of involvement of the family significantly predicted admission. Older age and danger to others significantly predicted admission among boys, whereas psychosis, suicidality and poor motivation for treatment predicted admission among girls.

conclusionThere are different pathways for youth admission, which can partly be explained by different psychiatric classifications as well as gender-specific differences with regard to age, suicide risk, danger to others and the influence of motivation for treatment. Finally, for both genders, family desire for hospitalisation is also an important predictor.

Indexed as

Patient AdmissionPsychotic DisordersAdolescentFemaleHumansMaleMental HealthReferral and ConsultationRetrospective StudiesAdolescentsCrisisEmergency psychiatryGender differencesPredictors of hospitalisation

Identifiers

PMID38549065
PMCPMC10976791
OpenAlexW4393261804

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.