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Record W3004036677 · doi:10.11124/jbisrir-d-19-00265

Barriers and enablers to implementation of pressure injury prevention in hospitalized adults: a mixed methods systematic review protocol

2020· article· en· W3004036677 on OpenAlexaff
Lucylynn Lizarondo, Cindy Stern, Judith Carrier, Christina Godfrey, Kendra L. Rieger, Susan Salmond, João Apóstolo, Pamela Kirkpatrick, Heather Loveday

Bibliographic record

VenueJBI Evidence Synthesis · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsUniversity of ManitobaCentre for Excellence in Mining Innovation
Fundersnot available
KeywordsCINAHLPsycINFOData extractionMedicinePsychological interventionCritical appraisalScopusSystematic reviewMEDLINEProtocol (science)Health carePressure injuryNursingAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of the proposed systematic review is to determine the barriers and enablers (or facilitators) to the implementation of pressure injury prevention among adults receiving care in the hospital setting. INTRODUCTION: Hospital-acquired pressure injuries are preventable; however, they remain an ongoing safety and quality health care concern in many countries. There are various evidence-based preventative interventions for pressure injuries, but their implementation in clinical practice is limited. An understanding of the different factors that support (enablers or facilitators) and inhibit (barriers) the implementation of these interventions from different perspectives is important, so that targeted strategies can be incorporated into implementation plans. INCLUSION CRITERIA: This review will include quantitative, qualitative, and mixed methods studies that investigate barriers and/or enablers in relation to hospital-acquired pressure injury prevention in hospitalized adults. Only English publications will be considered, with no publication date restrictions. METHODS: The systematic review will be conducted in accordance with the JBI methodology for mixed methods systematic review. Published studies will be searched in PubMed, CINAHL, Embase, PsycINFO and Scopus. Gray literature will also be considered. Critical appraisal and data extraction will be performed using standardized tools, followed by data transformation. Data synthesis will follow the convergent integrated approach.

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)0.005
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
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)0.0010.000

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 head0.030
GPT teacher head0.474
Teacher spread0.444 · 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.

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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

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