MétaCan
Menu
Back to cohort
Record W2946568154 · doi:10.1177/1524838019843196

The Use of Restraint and Seclusion in Residential Treatment Care for Youth: A Systematic Review of Related Factors and Interventions

2019· review· en· W2946568154 on OpenAlexafffund
Camille Roy, Ariane Castonguay, Maxime Fortin, Christine Drolet, Geneviève Franche-Choquette, Alexandre Dumais, Denis Lafortune, Paquito Bernard, Steve Geoffrion

Bibliographic record

VenueTrauma Violence & Abuse · 2019
Typereview
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsInstitut national de psychiatrie légale Philippe-PinelUniversité du Québec à MontréalUniversité de MontréalDouglas Mental Health University Institute
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSeclusionPsychological interventionCINAHLContext (archaeology)AggressionMedicineInclusion (mineral)Poison controlPsychologyGerontologyNursingPsychiatrySocial psychologyEnvironmental health

Abstract

fetched live from OpenAlex

Children placed in residential treatment centers (RTCs) typically present challenging behavior including aggression. In this context, restraint and seclusion (R&S) are seen as "last resort" strategies for educators to manage youth aggression. The use of R&S is controversial, as they can lead to psychological and physical consequences for both the client and the care provider and have yet to be empirically validated as therapeutic. The objectives of this systematic review are to identify the factors related to R&S use in RTCs for youth and to review the interventions aiming to reduce the use of R&S. The identification of these factors is the first step to gaining a better understanding of the decision-making process leading to the use of R&S and ultimately to reducing the use of these strategies to a minimum. Thus, the present systematic review was conducted by searching PubMed, CINAHL, ERIC, and PsycNET for articles published between 2002 and 2017. Key words used were synonyms of R&S, youth, and RTCs. Thirty-one studies met the inclusion criteria: must report on factors affecting the use of R&S in RTCs, must be conducted in RTCs for youth under the age of 21, and must report on original and empirical data. Factors related to the characteristics of the client, the care provider, and the environment, as well as to the implementation of programs for the reduction of R&S, were found to influence the use of R&S in RTCs. A conceptual model is presented. The implementation of programs to reduce R&S use is discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0110.013
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.247
GPT teacher head0.457
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations51
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueTrauma Violence & AbuseSame topicHealthcare Decision-Making and RestraintsFrench-language works237,207