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Record W4414240107 · doi:10.11124/jbies-24-00441

Factors influencing the de-implementation of seclusion and restraint in inpatient mental health settings: a qualitative systematic review protocol

2025· article· en· W4414240107 on OpenAlexaff
Sophie Sergerie‐Richard, Guillaume Fontaine, Lewys Beames, Vincent Billé, Rachael Laritz, Marie‐Hélène Goulet

Bibliographic record

VenueJBI Evidence Synthesis · 2025
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsMcGill UniversityInstitut Universitaire en Santé Mentale de QuébecUniversité de MontréalJewish General HospitalInstitut universitaire en santé mentale de MontréalOttawa Hospital
Fundersnot available
KeywordsSeclusionMental healthProtocol (science)Qualitative researchSystematic reviewData collection

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of the review is to synthesize qualitative evidence on the views, experiences, and perspectives of service users and their informal carers, health care providers, managers, and decision-makers regarding factors influencing the de-implementation of seclusion and restraint in inpatient mental health settings. INTRODUCTION: Seclusion and restraint, frequently used in mental health settings, are low-value health care interventions associated with numerous negative consequences and lack of therapeutic benefits. Conceptualizing the reduction, substitution, and elimination of these low-value interventions under the lens of de-implementation offers an innovative and promising approach. ELIGIBILITY CRITERIA: Qualitative studies exploring the views, experiences, and perspectives of adult mental health service users, their informal carers, health care providers, managers, and decision-makers regarding the de-implementation of seclusion and restraint will be considered for inclusion. Studies conducted in inpatient general mental health settings, excluding subspecialties, will be considered. METHODS: This review will follow the JBI methodology for qualitative reviews. The databases to be searched are CINAHL Complete (EBSCOhost), Cochrane Library, Embase (Ovid), MEDLINE (Ovid), PsycINFO (Ovid), and Web of Science. Study selection, data extraction, and quality assessment will be conducted independently by 2 authors. Following a meta-aggregation approach, the data synthesis will be guided by the Consolidated Framework for Implementation Research and the Model of Prevention of Seclusion and Restraint Use in Mental Health. Methodological quality will be assessed using the JBI Critical Appraisal Checklist for Qualitative Research, and confidence in the findings will be assessed using ConQual. REVIEW REGISTRATION: PROSPERO CRD42024586670.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.493

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.502
Teacher spread0.456 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2025
Admission routes1
Has abstractyes

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