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Enregistrement W3206265610 · doi:10.1002/cl2.1158

Multisystemic Therapy® for social, emotional, and behavioural problems in youth age 10 to 17: An updated systematic review and meta‐analysis

2021· article· en· W3206265610 sur OpenAlexaboutno aff
Julia H. Littell, Terri Pigott, Wendy Nilsen, Stacy J. Green, Olga L. K. Montgomery

Notice bibliographique

RevueCampbell Systematic Reviews · 2021
Typearticle
Langueen
DomainePsychology
ThématiqueChild and Adolescent Psychosocial and Emotional Development
Établissements canadiensnon disponible
Organismes subventionnairesCenter for Mental Health ServicesNational Institute of Mental Health
Mots-clésMeta-analysisPsychologyPsychotherapistClinical psychologySystematic reviewMEDLINEMedicinePolitical science

Résumé

récupéré en direct d'OpenAlex

Background Multisystemic Therapy® (MST®) is an intensive, home-based intervention for families of youth with social, emotional, and behavioural problems. MST therapists engage family members in identifying and changing individual, family, and environmental factors thought to contribute to problem behaviour. Intervention may include efforts to improve communication, parenting skills, peer relations, school performance, and social networks. MST is widely considered to be a well-established, evidence-based programme. Objectives We assessed (1) impacts of MST on out-of-home placements, crime and delinquency, and other behavioural and psychosocial outcomes for youth and families; (2) consistency of effects across studies; and (3) potential moderators of effects including study location, evaluator independence, and risks of bias. Search Methods Searches were performed in 2003, 2010, and March to April 2020. We searched PsycINFO, MEDLINE, ERIC, NCJRS Abstracts, ProQuest and WorldCAT dissertations and theses, and 10 other databases, along with government and professional websites. Reference lists of included articles and research reviews were examined. Between April and August 2020 we contacted 22 experts in search of missing data on 16 MST trials. Selection Criteria Eligible studies included youth (ages 10 to 17) with social, emotional, and/or behavioural problems who were randomly assigned to licensed MST programmes or other conditions. There were no restrictions on publication status, language, or geographic location. Data Collection and Analysis Two reviewers independently screened 1802 titles and abstracts, read all available study reports, assessed study eligibility, and extracted data onto structured electronic forms. We assessed risks of bias (ROB) using modified versions of the Cochrane ROB tool and What Works Clearinghouse standards. Where possible, we used random effects models with inverse variance weights to pool results across studies. We used odds ratios for dichotomous outcomes and standardised mean differences for continuous outcomes. We used Hedges g to adjust for small sample sizes. We assessed the heterogeneity of effects with χ 2 and I 2 . Pairwise meta-analyses are displayed in forest plots, with studies arranged in subgroups by location (USA or other country) and investigator independence. We provide separate forest plots for conceptually distinct outcomes and endpoints. We assessed differences between subgroups of studies with χ 2 tests. We generated robust variance estimates, using correlated effects (CE) models with small sample corrections to synthesise all available outcome measures within each of nine outcome domains. Exploratory CE analyses assessed potential moderators of effects within these domains. We used GRADE guidelines to assess the certainty of evidence on seven primary outcomes at one year after referral. Main Results Twenty-three studies met our eligibility criteria; these studies included a total of 3987 participating families. Between 1983 and 2020, 13 trials were conducted in the USA by MST program developers and 10 studies were conducted by independent teams (three in the USA, three in the UK, and one each in Canada, the Netherlands, Norway, and Sweden). These studies examined outcomes of MST for juvenile offenders, sex offenders, offenders with substance abuse problems, youth with conduct or behaviour problems, those with serious mental health problems, autism spectrum disorder, and cases of child maltreatment. We synthesised data from all eligible trials to test the claim that MST is effective across clinical problems and populations. Most trials compared MST to treatment as usual (TAU). In the USA, TAU consisted of relatively little contact and few services for youth and families, compared with more robust public health and social services available to youth in other high-income countries. One USA study provided “enhanced TAU” to families in the control group, and two USA studies compared MST to individual therapy for youth. The quality of available evidence for MST is mixed. We identified high risks of bias due to: inadequate randomisation procedures (in 9% of studies); lack of comparability between groups at baseline (65%); systematic omission of cases (43%); attrition (39%); confounding factors (e.g., between-group differences in race, gender, and attention; 43%); selective reporting of outcomes (52%); and conflicts of interest (61%). Most trials (96%) have high risks of bias on at least one indicator. GRADE ratings of the quality of evidence are low or moderate for seven primary outcomes, with high-quality evidence from non-USA studies on out-of-home placement. Effects of MST are not consistent across studies, outcomes, or endpoints. At one year post randomisation, available evidence shows that MST reduced out-of-home placements in the USA (OR 0.52, 95% confidence interval [CI] 0.32 to 0.84; P < .01), but not in other countries (OR 1.14, CI 0.84 to 1.55; P = .40). There is no overall evidence of effects on other primary outcomes at one year. When we included all available outcomes in CE models, we found that MST reduced placements and arrests in the USA, but not in other countries. At 2.5 years, MST increased arrest rates in non-USA countries (OR 1.27, CI 1.01 to 1.60; P = .04) and increased substance use by youth in the UK and Sweden (SMD 0.13, CI −0.00 to 0.27; P = .05). CE models show that MST reducesd self-reported delinquency and improved parent and family outcomes, but there is no overall evidence of effects on youth symptoms, substance abuse, peer relations, or school outcomes. Prediction intervals indicate that future studies are likely to find positive or negative effects of MST on all outcomes. Potential moderators are confounded: USA studies led by MST developers had higher risks of bias, and USA control groups received fewer services and had worse outcomes than those in independent trials conducted in other high-income countries. The USA/non-USA contrast appears to be more closely related to effect sizes than than investigator independence or risks of bias. Authors' Conclusions The quality of evidence for MST is mixed and effects are inconsistent across studies. Reductions in out-of-home placements and arrest/conviction were observed in the USA, but not in other high-income countries. Studies that compared MST to more active treatments showed fewer benefits, and there is evidence that MST may have had some negative effects on youth outside of the USA. Based on moderate to low quality evidence, MST may reduce self-reported delinquency and improve parent and family outcomes, but there is no overall evidence of effects on youth symptoms, substance abuse, peer relations, or school outcomes.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,012
score de la tête « metaresearch » (Gemma)0,026
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,064

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,026
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0170,023
Bibliométrie0,0090,009
Études des sciences et des technologies0,0010,001
Communication savante0,0030,003
Science ouverte0,0020,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,168
Tête enseignante GPT0,363
Écart entre enseignants0,195 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeMéta-analyse
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations61
Publié2021
Routes d'admission1
Résumé présentoui

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