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Record W6997382345

Vascular quality of care pilot study: how admission to a vascular surgery service affects evidence-based pharmacologic risk factor modification in patients with lower extremity peripheral arterial disease

2014· article· en· W6997382345 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2014
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsnot available
Fundersnot available
KeywordsVascular surgeryVascular diseaseACE inhibitorArterial diseaseRisk factorAngiotensin-converting enzymeAngiotensin Receptor BlockersMultidisciplinary approach
DOInot available

Abstract

fetched live from OpenAlex

Naomi Steenhof,1,2 Francesca Le Piane,1 Kori Leblanc,1–3 Naomi R Eisenberg,4 Yvonne Kwan,1 Christine Malmberg,1,6 Alexandra Papadopoulos,5,7 Graham Roche-Nagle4,7,8 1Department of Pharmacy, University Health Network, 2Leslie Dan Faculty of Pharmacy, University of Toronto, 3Centre for Innovation in Complex Care, University Health Network, 4Division of Vascular Surgery, University Health Network, 5Faculty of Nursing, University of Toronto, Toronto, ON, 6Victoria General Hospital, Vancouver Island Health Authority, Victoria, BC, 7Peter Munk Cardiac Centre, University Health Network, 8Faculty of Medicine, University of Toronto, Toronto, ON, Canada Background: Peripheral arterial disease (PAD) guidelines recommend aggressive risk factor modification to improve cardiovascular outcomes. Recommended pharmacologic therapies include antiplatelets, angiotensin converting enzyme (ACE) inhibitors, and HMG-CoA-reductase inhibitors (statins). Purpose: We studied the degree to which patient admission to a vascular surgery service increased the use of these therapies. Patients and methods: The authors conducted a retrospective chart review of 150 patients with PAD admitted to the vascular surgery service at a large Canadian tertiary care hospital. The use of recommended pharmacologic therapies at the time of admission and discharge were compared. A multidisciplinary clinical team established criteria by which patients were deemed ineligible to receive any of the recommended therapies. Angiotensin receptor blockers (ARBs) were considered an alternative to ACE inhibitors. Results: Prior to hospital admission, 64% of patients were on antiplatelet therapy, 67% were on an ACE inhibitor or ARB, and 71% were on a statin. At the time of discharge, 91% of patients were on an antiplatelet (or not, with an acceptable reason), 77% were on an ACE inhibitor or an ARB (or not, with an acceptable reason), and 85% were on a statin (or not, with an acceptable reason). While new prescriptions were largely responsible for improved guideline adherence with antiplatelets and statins, most of the apparent improvement in ACE inhibitor and ARB use was the result of identifying an acceptable reason for not having them prescribed. Conclusion: This hypothesis generating pilot study supports the findings of others that there is suboptimal prescription of pharmacologic risk reduction therapies in the PAD population. Admission to a vascular service increases these rates. Nevertheless, some patients are still not receiving evidence-based treatment at discharge even after consideration of acceptable reasons. Strategies are needed to improve PAD guideline adherence in both the community at large and the vascular surgery service. Keywords: guideline adherence, vascular protection, risk reduction

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)0.003
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.170
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.240
GPT teacher head0.492
Teacher spread0.252 · 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 designObservational
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
Published2014
Admission routes1
Has abstractyes

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