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Record W4312230345 · doi:10.22374/cjgim.v17i1.525

Barriers to Implementing Internist Recommendations for Perioperative Anticoagulation Management by Surgical Teams

2022· article· en· W4312230345 on OpenAlexafffundvenue
Kristin Flemons, Michael Bosch, Gabriel Marcil, Rahim Kachra, Kelly B. Zarnke, Leslie Skeith, Shannon M. Ruzycki

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsHealth Sciences CentreUniversity of AlbertaUniversity of Calgary
FundersAlberta Health Services
KeywordsPerioperativeMedicineGuidelineGeneral surgerySurgery

Abstract

fetched live from OpenAlex

Introduction: In our center, half of all recommendations made by an internist about perioperative anticoagulation management are not followed by surgical team members. We aimed to understand the barriers to implementing perioperative anticoagulation recommendations.Methods: This was a prespecified analysis of interviews with surgical team members about individual- and systems-level drivers of missed perioperative anticoagulation recommendations. Interviews and analysis were guided by the Theoretical Domains Framework and the Consolidation Framework for Implementation Research.Results: We interviewed 16 surgical team members and 2 internists. Surgical team members intentionally did not follow recommendations about perioperative anticoagulation management when they felt that the bleeding risk outweighed the risk of thrombosis. This assessment of risk was driven by emotion and previous experience, even among participants who were familiar with perioperative literature.Conclusions: Development of study outcomes and guideline recommendations for perioperative anticoagulation management should include surgical team members in order to address the acceptability of these recom-mendations and increase adoption. RésuméIntroduction : Dans notre centre, la moitié des recommandations formulées par un interniste concernant la prise en charge de l’anticoagulation périopératoire ne sont pas suivies par les membres de l’équipe chirurgicale. Nous avons cherché à comprendre les obstacles à l’application des recommandations relatives à l’antico-agulation périopératoire. Méthodologie : Il s’agit d’une analyse prédéterminée d’entrevues menées auprès des membres de l’équipe chirurgicale au sujet des facteurs individuels et systémiques de l’insuccès des recommandations relatives à l’anticoagulation périopératoire. Les entrevues et l’analyse ont été guidées par le Theoretical Domains Framework et le Consolidation Framework for Implementation Research.Résultats : Nous avons interrogé 16 membres de l’équipe chirurgicale et 2 internistes. Intentionnellement, les membres de l’équipe chirurgicale ne suivent pas les recommandations concernant la prise en charge de l’anti-coagulation périopératoire lorsqu’ils estiment que le risque d’hémorragie l’emporte sur le risque de thrombose. Cette évaluation du risque est dictée par l’émotion et l’expérience antérieure, même parmi les participants qui connaissent bien la documentation du domaine périopératoire.Conclusions : La mise en application des résultats des études et des recommandations formulées par les lignes directrices pour la prise en charge de l’anticoagulation périopératoire devrait comprendre des membres de l’équipe chirurgicale pour aborder l’acceptabilité de ces recommandations et augmenter l’adoption.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.021
GPT teacher head0.324
Teacher spread0.303 · 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 designNot applicable
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".

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Citations2
Published2022
Admission routes3
Has abstractyes

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