Evidence map›Paper›PMID 27716175›Full record

ArticleBMC psychiatry2016

Relationship between Massachusetts Youth Screening Instrument-second version and psychiatric disorders in youths in welfare and juvenile justice institutions in Switzerland.

L E W Leenarts, C Dölitzsch, K Schmeck, J M Fegert, T Grisso, M Schmid

Abstract read
In one paragraph

Article in BMC psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

L E W LeenartsKinder- und Jugendpsychiatrische Klinik Forschungsabteilung, Universitäre Psychiatrische Kliniken (UPK), Schanzenstrasse 13, 4056, Basel, Switzerland. laura.leenarts@upkbs.ch.
C DölitzschKlinik für Kinder- und Jugendpsychiatrie/Psychotherapie, Universitätsklinikum Ulm, Steinhövelstrasse 5, D-89075, Ulm, Germany.
K SchmeckKinder- und Jugendpsychiatrische Klinik Forschungsabteilung, Universitäre Psychiatrische Kliniken (UPK), Schanzenstrasse 13, 4056, Basel, Switzerland.
J M FegertKlinik für Kinder- und Jugendpsychiatrie/Psychotherapie, Universitätsklinikum Ulm, Steinhövelstrasse 5, D-89075, Ulm, Germany.
T GrissoDepartment of Psychiatry, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.
M SchmidKinder- und Jugendpsychiatrische Klinik Forschungsabteilung, Universitäre Psychiatrische Kliniken (UPK), Schanzenstrasse 13, 4056, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is growing evidence that it is important to have well-standardized procedures for identifying the mental health needs of youths in welfare and juvenile justice institutions. One of the most widely used tools for mental health screening in the juvenile justice system is the Massachusetts Youth Screening Instrument-second version (MAYSI-2). To contribute to the body of research examining the utility of the MAYSI-2 as a mental health screening tool; the first objective of the current study was to examine the relationship between the MAYSI-2 and the Schedule for Affective Disorders and Schizophrenia for School-Age Children, Present and Lifetime version (K-SADS-PL) in a sample of Swiss youths in welfare and juvenile justice institutions using a cross-sectional design. Secondly, as the sample was drawn from the French-, German- and Italian-speaking parts of Switzerland, the three languages were represented in the total sample and consequently differences between the language regions were analyzed as well. The third objective was to examine gender differences in this relationship.

methodsParticipants were 297 boys and 149 girls (mean age = 16.2, SD = 2.5) recruited from 64 youth welfare and juvenile justice institutions in Switzerland. The MAYSI-2 was used to screen for mental health or behavioral problems that could require further evaluation. Psychiatric classification was based on the Schedule for Affective Disorders and Schizophrenia for School-Age Children, Present and Lifetime version (K-SADS-PL). Binomial logistic regression analysis was used to predict (cluster of) psychiatric disorders from MAYSI-2 scales.

resultsThe regression analyses revealed that the MAYSI-2 scales generally related well to their corresponding homotypic (cluster of) psychiatric disorders. For example, the alcohol/drug use scale identified the presence of any substance use disorder and the suicide ideation scale identified youths reporting suicide ideation or suicide attempts. Several MAYSI-2 scales were also related to heterotypic (cluster of) psychiatric disorders. For example, the MAYSI-2 scale alcohol/drug use, was positively related to any disruptive disorder. Furthermore, the results revealed gender differences in the relationship between the MAYSI-2 and K-SADS-PL (e.g., in the boys' subsample no MAYSI-2 scale was significantly related to any affective disorder; whereas, in the girls' subsample the MAYSI-2 scales depressed-anxious and somatic complaints were significantly related to any affective disorder).

conclusionsOverall, The MAYSI-2 seems to serve well as a first-stage screen to identify service needs for youths in welfare and juvenile justice institutions in Switzerland. Its effectiveness to identify the presence of (cluster of) psychiatric disorders differs between genders.

Indexed as

Child WelfareCriminal LawPrisonsPsychiatric Status Rating ScalesAdolescentChildCross-Sectional StudiesFemaleHumansJuvenile DelinquencyMaleMental DisordersSwitzerlandGenderJuvenile justiceMAYSI-2Mental health screeningPsychiatric disorders

Identifiers

PMID27716175
PMCPMC5045656

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.