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Record W4404866928 · doi:10.1136/bmjopen-2024-090764

Identifying practices of information transfer between the hospital and primary care for older adults: a scoping review protocol

2024· review· en· W4404866928 on OpenAlexafffund
Martina Alkot, Andrea Quaiattini, Sabrina Lessard, Aigul Zaripova, Carolyn Pavoni, Sandrine Couture, Philippe Desmarais, Yu Qing Huang, Emily G. McDonald, Catherine Richer, J.‐G. Chabot, Félix Pageau, Thomas Tannou, Géraldine Layani, Dounia Rouabhia, Matthieu Calafiore, Karin Fink, Beuscart Jean-Baptiste, Claire Godard‐Sebillotte

Bibliographic record

VenueBMJ Open · 2024
Typereview
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of TorontoDouglas Mental Health University InstituteMcGill UniversityThe Quebec Population Health Research NetworkUniversité LavalUniversité de MontréalMcGill University Health Centre
FundersMcGill University Health CentreFaculty of Medicine and Health, University of SydneyMcGill University
KeywordsCINAHLMedicineContext (archaeology)MEDLINEGrey literatureProtocol (science)Data extractionHealth careNursingFamily medicineMedical educationPsychological interventionAlternative medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Transition of care from hospital to primary care has been recognised globally as a high-risk scenario for older patients' safety by the WHO. Indeed, sub-optimal care transitions are associated with increased mortality, morbidity and adverse events.Improving communication through timely and accurate clinical information transfer has been identified as a key component of optimal care transitions. However, timely and accurate clinical information transfer from hospital to primary care varies across countries and institutions. Information transfer practices are heterogeneous, in some places depending on individual initiative and sometimes not occurring at all.To improve current practices, we will conduct a scoping review to identify the current and suggested practices of information transfer between hospital-based physicians or pharmacists and the primary care team of older patients. METHODS AND ANALYSIS: and the JBI Manual for Evidence Synthesis, and the findings reported according to the PRISMA extension for Scoping Reviews. We will use a search strategy developed with a specialised librarian to search four databases (MEDLINE, Embase, CINAHL and AgeLine) and reference lists of selected studies. All studies adhering to our iteratively created eligibility criteria outlined by the population, concept and context elements will be included. The data extraction table will also be constructed iteratively with the research team, and results will be presented tabularly and qualitatively. ETHICS AND DISSEMINATION: Ethics approval was obtained. We plan to disseminate the results as scientific communication (peer-reviewed journal and presentations) and during a deliberative dialogue workshop with key stakeholders in order to generate recommendations to improve current practices in our own clinical setting, potentially to be adapted and scaled up with our collaborators provincially, nationally and internationally.This protocol has been registered on the Open Science Framework: https://osf.io/eg958.

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)0.162
metaresearch head score (Gemma)0.119
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 score0.162
Threshold uncertainty score0.855

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1620.119
Meta-epidemiology (narrow)0.0050.007
Meta-epidemiology (broad)0.0120.013
Bibliometrics0.0220.016
Science and technology studies0.0060.007
Scholarly communication0.0100.010
Open science0.0080.009
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.0490.013

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 head0.126
GPT teacher head0.505
Teacher spread0.379 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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