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Record W2551671123 · doi:10.1186/s13643-016-0372-8

A mixed-methods systematic review protocol to examine the use of physical restraint with critically ill adults and strategies for minimizing their use

2016· article· en· W2551671123 on OpenAlexafffund
Louise Rose, Craig Dale, Orla Smith, Lisa Burry, Glenn Enright, Dean Fergusson, Samir K. Sinha, Lesley Wiesenfeld, Tasnim Sinuff, Sangeeta Mehta

Bibliographic record

VenueSystematic Reviews · 2016
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsOttawa HospitalUniversity of OttawaSt. Michael's HospitalCentre for Family MedicineInstitute for Clinical Evaluative SciencesSunnybrook Health Science CentreToronto East General HospitalUniversity of TorontoMount Sinai HospitalHealth Sciences Centre
FundersCanadian Institutes of Health Research
KeywordsMedicineCINAHLMEDLINESystematic reviewHarmCochrane LibraryData extractionProtocol (science)Intensive care medicinePsychological interventionMeta-analysisNursingAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Critically ill patients frequently experience severe agitation placing them at risk of harm. Physical restraint is common in intensive care units (ICUs) for clinician concerns about safety. However, physical restraint may not prevent medical device removal and has been associated with negative physical and psychological consequences. While professional society guidelines, legislation, and accreditation standards recommend physical restraint minimization, guidelines for critically ill patients are over a decade old, with recommendations that are non-specific. Our systematic review will synthesize evidence on physical restraint in critically ill adults with the primary objective of identifying effective minimization strategies. METHODS: Two authors will independently search from inception to July 2016 the following: Ovid MEDLINE, CINAHL, Embase, Web of Science, Cochrane Library, PROSPERO, Joanna Briggs Institute, grey literature, professional society websites, and the International Clinical Trials Registry Platform. We will include quantitative and qualitative study designs, clinical practice guidelines, policy documents, and professional society recommendations relevant to physical restraint of critically ill adults. Authors will independently perform data extraction in duplicate and complete risk of bias and quality assessment using recommended tools. We will assess evidence quality for quantitative studies using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach and for qualitative studies using the Confidence in the Evidence from Reviews of Qualitative Research (CERQual) guidelines. Outcomes of interest include (1) efficacy/effectiveness of physical restraint minimization strategies; (2) adverse events (unintentional device removal, psychological impact, physical injury) and associated benefits including harm prevention; (3) ICU outcomes (ventilation duration, length of stay, and mortality); (4) prevalence, incidence, patterns of use including patient and treatment characteristics and chemical restraint; (5) barriers and facilitators to minimization; (6) patient, family, and healthcare professional perspectives; (7) professional society-endorsed recommendations; and (8) evidence gaps and research priorities. DISCUSSION: We will use our systematic review findings to produce updated guidelines on physical restraint use for critically ill adults and to develop a professional society-endorsed position statement. This will foster patient and clinician safety by providing clinicians, administrators, and policy makers with a tool to promote minimal and safe use of physical restraint for critically ill adults. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42015027860.

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)0.131
metaresearch head score (Gemma)0.148
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.131
Threshold uncertainty score0.693

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1310.148
Meta-epidemiology (narrow)0.0070.006
Meta-epidemiology (broad)0.0280.016
Bibliometrics0.0200.020
Science and technology studies0.0050.005
Scholarly communication0.0090.010
Open science0.0070.006
Research integrity0.0100.007
Insufficient payload (model declined to judge)0.0870.011

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 head0.188
GPT teacher head0.471
Teacher spread0.282 · 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
GenreProtocol

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

Citations47
Published2016
Admission routes2
Has abstractyes

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