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Enregistrement W4403257634 · doi:10.1177/2325967124s00342

Poster 377: Opioid Restriction Protocol Implemented at a Canadian Sports Orthopaedic Surgery Institution

2024· article· en· W4403257634 sur OpenAlexaffabout
Riley Hemstock, Sheila McRae, Kevin J. Friesen, Heather J. Prior, Ian Laxdal, Thomas C. Mutter, Peter MacDonald, Jarret M. Woodmass

Notice bibliographique

RevueOrthopaedic Journal of Sports Medicine · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueOpioid Use Disorder Treatment
Établissements canadiensUniversity of ManitobaPan Am Clinic
Organismes subventionnairesnon disponible
Mots-clésMedicineProtocol (science)Orthopedic surgeryOpioidSports injuryPhysical therapyGeneral surgerySurgeryAlternative medicineInternal medicinePathology

Résumé

récupéré en direct d'OpenAlex

Objectives: The ongoing global opioid epidemic is a complex issue. With historically high levels of opioids prescribed in the perioperative period, attention has been drawn to the role of the orthopaedic surgeon in the proliferation of this epidemic. While clinical trials have demonstrated clear benefit to the implementation of patient education and alterations in surgeon prescribing to reduce opioid consumption, there is a scarcity of literature evaluating these effects at an institutional level. The purpose of this study is to evaluate the effectiveness of a multimodal opioid restriction and education protocol implemented at a Canadian sports orthopaedic surgery institution with specific focus on outpatient shoulder and knee surgeries. Methods: This is a retrospective pre-post intervention epidemiological study using deidentified data housed in a repository managed by the Manitoba Centre for Health Policy (MCHP). The repository contains information on the entire population of province of Manitoba, Canada (est. 1.44 million as of 2023) with respect to demographics, health, and socioeconomic factors gathered by various government administrative systems (health care, pharmaceuticals, education, housing, employment, etc.). The study population included all “opioid-naïve” patients (had not filled a prescription for opioids in the 6-months pre-surgery) that underwent shoulder or knee surgery at an orthopaedic day surgery institution between January 2013 and December 2021. Exclusion criteria were age less than 18 years, and additional orthopaedic surgery within 6 months. The intervention was the implementation in spring 2020 of a 3-pronged approach to reduce opioid use as part of a change in standard of care. An educational pamphlet was generated with input from surgeons, nurses, members of the public, and administrators to provide general information to patients about risks of opioid use and reasoning behind pain management approaches that utilize non-narcotic analgesics for acute pain control. Implementation of the pamphlet occurred in May 2020 whereby patients received the pamphlet in their postoperative information package in recovery. Concurrently, operating room and recovery room nursing staff attended an in-service on the goals of this program, and on messaging regarding analgesia and pain to be given to patients in the recovery room when the pamphlet was provided. The third element of this initiative was the implementation of a restricted prescription protocol by all surgeons at the facility by June 2020. Surgeons transitioned from their own prescription practices, which included a variety of different common medications such as Tylenol #3, Tramacet or Percocet, to adopting a standardized prescription approach including regularly scheduled acetaminophen and ibuprofen for the first 5 days followed by as needed usage, with an additional prescription of single entity Tramadol to be filled only in instances of intolerable break through pain. As a proxy for surgeon compliance with prescription protocol, the proportion of patients that filled prescriptions for Tramadol pre- and post-operative was compared. The primary outcome was the morphine milligram equivalents (MME) which was calculated based on the prescriptions filled by each patient from 48-hours prior to surgery to 180 days post-op. A binary variable was also generated indicating if a patient did or did not fill an opioid prescription between 180 and 270 days post-surgery to evaluate chronic use. If a patient did not fill any opioid prescriptions in the first 30 days after surgery, they were considered as having received no opioids related to the orthopedic procedure. For continuous data, t-tests were performed on demographic variables and MME, and for categorical data, chi-square tests were conducted. In addition, full multivariate logistic regression was used with opioid use after 180 days as the dependent variable and independent variables included timeframe (i.e., pre- or post-intervention implementation), age, sex, socioeconomic status, comorbidities, and previous mental health diagnosis. Results: Table 1 presents a comparison of patient characteristics pre- versus post-intervention indicating comparable age between groups but a small but significant difference in the proportion of males and females (64.7% versus 62.3% males). Compliance with the prescription protocol was high, as 71.3% of patients filled prescriptions for Tramadol post- compared to 3.3% pre-operative. MME per patient decreased significantly by 20% (325 to 263; p<0.001) supporting the hypothesis. The proportion of patients continuing to fill prescriptions for opioids at 180 days post-surgery also significantly decreased from 5.3 to 3.1% (p<0.001). Based on the logistic regression, pre-post intervention was found to be a significant predictor with an odds ratio (95% CI) of 0.57 (0.44, 0.73) when controlling for the age, sex, mental illness diagnosis, socioeconomic status, and comorbidities. This indicates that the odds of continuing to fill opioid prescriptions were 1.89 times higher before the implementation of the opioid restriction protocol than after. Conclusions: The volume of opioids distributed and the number of chronic opioid users were significantly reduced for outpatient shoulder and knee surgery patients following the implementation of a multimodal approach at a Canadian sports orthopaedic surgery institute. This relatively simple approach focused on patient education, consistent inter-disciplinary perioperative messaging around opioids and buy-in from all surgeons with respect to prescribing guidelines. This evidence could serve to inform other practitioners to adopt similar strategies and change the trajectory of opioid dependency resulting from early post-operative pain management.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,015
score de la tête « metaresearch » (Gemma)0,023
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,309
Score d'incertitude au seuil0,615

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0150,023
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0080,002
Communication savante0,0020,001
Science ouverte0,0030,003
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0580,007

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,292
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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