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Record W4382652954 · doi:10.53660/clm-1554-23h74

Tools for care transfer in intensive care units: systematic review of observational studies

2023· article· en· W4382652954 on OpenAlexaboutno aff
Andréa dos Santos Albuquerque Van-dúnem, Noélle de Oliveira Freitas, Jane Grace Andrade de Faria, Silvana Andréa Molina Lima, Meline Rossetto Kron Rodrigues

Bibliographic record

VenueConcilium · 2023
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyMedicineIntensive care unitIntensive careMultidisciplinary approachMEDLINECochrane LibraryMedical recordSystematic reviewMedical emergencyEmergency medicineIntensive care medicineMeta-analysisInternal medicine

Abstract

fetched live from OpenAlex

Objective: to evaluate the effectiveness of the use of tools for care transfer in patients admitted to an intensive care unit (ICU). Methods: Systematic review consulted in the databases PubMed, Embase, Cochrane Library, LILACS until August 2022. The descriptors “Patient Handoff”, “Continuity of Patient Care”, “SBAR”, “ISBAR”, “SBAR-R”, “ISBARR”, “ISOBAR”, “Communication” and “Intensive Care Units” were used. Observational studies use of any tools to transfer care in patients admitted to any ICU were included. Risk of bias using the Newcastle-Ottawa Scale. Results: the findings suggest that the professionals' perceptions are positive and that there was an improvement in multidisciplinary communication. As for the impact on patient care, the findings suggest that the use of transfer tools in care favors the complete completion of the medical record, as well as the notification of events in the medical records. Conclusions: no robust evidence was found regarding the use of ICU care transfer tools.

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)0.001
metaresearch head score (Gemma)0.079
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.559
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.079
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.533
GPT teacher head0.493
Teacher spread0.041 · 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
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
Published2023
Admission routes1
Has abstractyes

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