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Record W3205554718 · doi:10.1136/bmjoq-2021-001583

Comparison of strategies for adherence to venous thromboembolism prophylaxis in high-risk surgical patients: a before and after intervention study

2021· article· en· W3205554718 on OpenAlex
Leopoldo Muniz da Silva, Helidea de Oliveira Lima, Ricardo Ferrer, Anthony M.‐H. Ho, Saullo Queiroz Silveira, Arthur de Campos Vieira Abib, Fernando Nardy Bellicieri, Daenis Camiré, Otto Mittermayer, Karen Kato Botelho, Andre Mortari Pla Gil, Glenio B. Mizubuti

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBMJ Open Quality · 2021
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineVenous thromboembolismIntervention (counseling)Intensive care medicineInternal medicineNursingThrombosis

Abstract

fetched live from OpenAlex

BACKGROUND: Venous thromboembolism (VTE) is a major cause of perioperative morbimortality. Despite significant efforts to advance evidence-based practice, prevention rates remain inadequate in many centres. OBJECTIVE: To evaluate the effectiveness of different strategies aimed at improving adherence to adequate VTE prophylaxis in surgical patients at high risk of VTE. METHOD: Before and after intervention study conducted at a tertiary hospital. Adherence to adequate VTE prophylaxis was compared according to three strategies consecutively implemented from January 2019 to December 2020. A dedicated hospitalist physician alone (strategy A) or in conjunction with a nurse (strategy B) overlooked the postoperative period to ensure adherence and correct inadequacies. Finally, a multidisciplinary team approach (strategy C) focused on promoting adequate VTE prophylaxis across multiple stages of care-from the operating room (ie, preoperative team-based checklist) to collaboration with clinical pharmacists in the postoperative period-was implemented. RESULTS: We analysed 2074 surgical patients: 783 from January to June 2019 (strategy A), 669 from July 2019 to May 2020 (strategy B), and 622 from June to December 2020 (strategy C). VTE prophylaxis adherence rates for strategies (A), (B) and (C) were (median (25th-75th percentile)) 43.29% (31.82-51.69), 50% (42.57-55.80) and 92.31% (91.38-93.51), respectively (p<0.001; C>A=B). There was a significant reduction in non-compliance on all analysed criteria (risk stratification (A (25.5%), B (22%), C (6%)), medical documentation (A (68%), B (55.2%) C (9%)) and medical prescription (A (51.85%), B (48%), C (6.10%)) after implementation of strategy C (p<0.05). Additionally, a significant increase in compliance with adequate dosage, dosing interval and scheduling of the prophylactic regimen was observed. CONCLUSION: Perioperative VTE prophylaxis strategies that relied exclusively on physicians and/or nurses were associated with suboptimal execution and prevention. A multidisciplinary team-based approach that covers multiple stages of patient care significantly increased adherence to adequate VTE prophylaxis in surgical patients at high risk of developing perioperative VTE.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.072
GPT teacher head0.454
Teacher spread0.382 · 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