Barriers and facilitators to adopting high value practices and de-adopting low value practices in Canadian intensive care units: a multimethod study
Bibliographic record
Abstract
OBJECTIVE: To compare and contrast illustrative examples of the adoption of high value practices and the de-adoption of low value practices. DESIGN: (1) Retrospective, population-based audit of low molecular weight heparin (LMWH) for venous thromboembolism (VTE) prophylaxis (high value practice) and albumin for fluid resuscitation (low value practice) and (2) cross-sectional survey of healthcare providers. SETTING: Data were collected from nine adult medical-surgical intensive care units (ICUs) in two large Canadian cities. Patients are managed in these ICUs by a group of multiprofessional and multidisciplinary healthcare providers. PARTICIPANTS: Participants included 6946 ICU admissions and 309 healthcare providers from the same ICUs. MAIN OUTCOME MEASURES: (1) The use of LMWH for VTE prophylaxis (per cent ICU days) and albumin for fluid resuscitation (per cent of patients); and (2) provider knowledge of evidence underpinning these practices, and barriers and facilitators to adopt and de-adopt these practices. RESULTS: LMWH was administered on 38.7% of ICU days, and 20.0% of patients received albumin.Most participants had knowledge of evidence underpinning VTE prophylaxis and fluid resuscitation (59.1% and 84.2%, respectively). Providers perceived these practices to be followed. The most commonly reported barrier to adoption was insufficient knowledge/understanding (32.8%), and to de-adoption was clinical leader preferences (33.2%). On-site education was the most commonly identified facilitator for adoption and de-adoption (67.8% and 68.6%, respectively). CONCLUSIONS: Despite knowledge of and self-reported adherence to best practices, the audit demonstrated opportunity to improve. Provider-reported barriers and facilitators to adoption and de-adoption are broadly similar.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.192 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".