MétaCan
Menu
Back to cohort
Record W2470188225 · doi:10.4212/cjhp.v69i3.1555

Appropriateness of Dabigatran and Rivaroxaban Prescribing for Hospital Inpatients

2016· article· en· W2470188225 on OpenAlexaffvenue
Unnum Chowdhry, Amanda Jacques, Alan Karovitch, Pierre Giguère, My-Linh Nguyen

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2016
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsOttawa HospitalCanadian Pharmacists Association
Fundersnot available
KeywordsDabigatranMedicineRivaroxabanIncidence (geometry)Medical prescriptionRetrospective cohort studyEmergency medicineCohortPostmarketing surveillanceInternal medicineWarfarinPharmacologyAdverse effectAtrial fibrillation

Abstract

fetched live from OpenAlex

ABSTRACT Background: Recent approval of the new oral anticoagulants dabigatran and rivaroxaban has led to rapid changes in anticoagulant prescribing practices. Postmarketing reports have highlighted safety concerns with these agents, and their use outside of evidence-based recommendations was noted at the authors’ centre. Objectives: To determine the incidence of and risk factors associated with inappropriate prescribing of dabigatran and rivaroxaban. Methods:This retrospective cohort study investigated randomly selected dabigatran or rivaroxaban prescriptions for patients admitted to a tertiary teaching hospital between January 2010 and December 2012. Appropriateness of prescribing was determined from the documented indication, drug dosage, patient’s renal function, and presence of drug interactions, if applicable. Results: Among a total of 321 medication orders reviewed, the incidence of inappropriate use was 31.2% (34/109) for dabigatran and 26.9% (57/212) for rivaroxaban. Of the 97 reasons for inappropriate use that were identified, the most common were prescribing for an unapproved indication (49/97 [50.5%]), concomitant prescribing of another anti -coagulant (22/97 [22.7%]), and high prescribed dose (9/97 [9.3%]). The prescribing service was found to be an independent risk factor for inappropriate prescribing (p = 0.041). Corrections were made to 23.1% (21/91) of the incorrect regimens before hospital discharge. In a sensitivity analysis using calculated ideal body weight to estimate renal function, the overall incidence of inappropriate prescribing increased to 31.5% (101/321). Conclusions: The proportion of patients with inappropriate prescribing of dabigatran or rivaroxaban in clinical practice was higher than expected. Educational interventions and pharmacy-led initiatives with a focus on appropriate indications, concomitant anticoagulant prescribing, and review of dosage regimens are recommended to improve patient safety. RÉSUMÉ Contexte : La récente approbation de deux nouveaux anticoagulants oraux, le dabigatran et le rivaroxaban, a mené à de rapides changements dans les habitudes de prescription pour l’anticoagulothérapie. Des rapports de pharmacovigilance ont relevé des risques pour la santé relativement à ces agents. De plus, on a noté au centre où travaillent les auteurs que ces médicaments n’étaient pas toujours utilisés selon les recommandations fondées sur des données probantes. Objectifs : Déterminer quelle est l’incidence des prescriptions inadéquates de dabigatran et de rivaroxaban et quels sont les facteurs de risque qui y sont associés. Méthodes : La présente étude de cohorte rétrospective a examiné des ordonnances choisies au hasard de dabigatran ou de rivaroxaban, lesquelles étaient destinées à des patients admis dans un hôpital universitaire de soins tertiaires entre janvier 2010 et décembre 2012. La pertinence des prescriptions était établie à l’aide des informations consignées sur l’indication, la posologie, la fonction rénale du patient et la presence d’interactions médicamenteuses, le cas échéant. Résultats : Parmi l’ensemble des 321 ordonnances analysées, l’incidence d’utilisation inadéquate était de 31,2 % (34/109) pour le dabigatran et de 26,9 % (57/212) pour le rivaroxaban. Des 97 raisons d’utilisation ina- déquate qui ont été recensées, les plus fréquentes étaient : la prescription pour une indication non approuvée (49/97 [50,5 %]), la prescription concomitante d’un autre anticoagulant (22/97 [22,7 %]) et la prescription d’une dose élevée (9/97 [9,3 %]). Le service auquel appartenait le prescripteur s’est révélé être un facteur de risque indépendant de prescription inadéquate (p = 0.041). Des corrections ont été apportées à 23,1 % (21/91) des schémas erronés avant que le congé ne soit donné. Dans une analyse de sensibilité qui s’appuyait sur le calcul du poids idéal pour estimer la fonction rénale, le taux global d’incidence de prescription inadéquate augmentait à 31,5 % (101/321). Conclusions : La proportion de patients pour qui la prescription de dabigatran ou de rivaroxaban était inadéquate dans la pratique Clinique était plus élevée que prévu. Afin d’améliorer la sécurité des patients, on recommande l’adoption d’interventions éducatives et d’initiatives dirigées par les services de pharmacie qui porteront sur les indications adéquates, la prescription concomitante d’anticoagulants et la révision des schémas posologiques.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.312
Teacher spread0.257 · 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

Citations13
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueThe Canadian Journal of Hospital PharmacySame topicAtrial Fibrillation Management and OutcomesFrench-language works237,207