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Enregistrement W4366241801 · doi:10.1111/jgs.18377

Rates of overtreatment and deprescribing of antihyperglycemics among long‐term care residents in British Columbia

2023· letter· en· W4366241801 sur OpenAlexaffabout
Jeffrey Pan, Aaron M Tejani, Alixandra Logan, Heather Brodoway, Kruti Shukla, Maric Son, Kanika Khosla, AmirHossein Moradi, Isla Drummond, Lisa McCarthy, Iliana C. Lega, Rita McCracken, Wade Thompson

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2023
Typeletter
Langueen
DomaineMedicine
ThématiqueDiabetes Management and Education
Établissements canadiensWomen's College HospitalTrillium Health CentreUniversity of TorontoUniversity of WaterlooBruyèreVancouver Coastal HealthiCo Therapeutics (Canada)University of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineDeprescribingGerontologyPopulationType 2 diabetesLong-term careHarmDiabetes mellitusIntensive care medicineEnvironmental healthPolypharmacyPsychiatry

Résumé

récupéré en direct d'OpenAlex

Over 25% of older adults live with type 2 diabetes (T2DM).1 Current guidelines discourage intensive T2DM treatment in older adults with functional limitations, dementia, and/or frailty, such as those living in long-term care (LTC). Intensive T2DM treatment has unclear benefit in this population, increases risk of harm, and may have a deleterious effect on quality of life.1, 2 Diabetes Canada guidelines recommend moderate control in this population (e.g., HbA1c targets 7.1%–8.5% or higher), and to avoid sulfonylureas (SUs) or insulin.3 Despite unclear benefit and increased risk of harm, older adults in LTC may be overtreated for T2DM.4-8 People that are overtreated may benefit from stopping or reducing the dose of antihyperglycemics ("deprescribing").9, 10 This examined rates of overtreatment and deprescribing of antihyperglycemics at urban LTC facilities in British Columbia, Canada. Residents with an HbA1c available at baseline were categorized as overtreated if they had a baseline HbA1c of <7% (on any antihyperglycemic[s]) or if they had a baseline HbA1c of <7.5% on a SU or insulin. Deprescribing was defined as having an antihyperglycemic stopped or the dose reduced without having another antihyperglycemic medication started or increased. We captured the proportion of antihyperglycemic medications that were changed as well as the proportion of individual residents that had an antihyperglycemic change during the follow up period. We used descriptive statistics to summarize the data. The study was approved by the University of British Columbia (UBC) Research Ethics Board (REB) and received Providence Health Care Institutional Approval (UBC REB # H22-01575). Of 630 residents in the five LTC homes, 120 residents met inclusion criteria (Table 1). Among residents with an HbA1c available (n = 85), 34/85 residents (40%) met the criteria for being overtreated. We found that 17/34 (50%) residents in the overtreated group had an antihyperglycemic stopped during follow-up and <5 had a dose reduced, while 9/51 (18%) of the not overtreated group had an antihyperglycemic stopped and 5/51 (10%) had a dose reduced. This corresponded to a deprescribing rate of 50% in the overtreated group and 27% in the not overtreated group, over 6 months (Figure 1). In the overtreated group, <5 residents had a dose increased or a new antihyperglycemic started over the study period. In the not overtreated group, the dose was increased for 6/69 (9%) of antihyperglycemics used at baseline and at least one new antihyperglycemic was started over the study period in 17/51 (33%) residents. Antihyperglycemics were started and subsequently stopped over the study period for 5/34 (15%) residents in the overtreated group compared to 10/51 (19%) residents in the not overtreated group. Medications were stopped and subsequently restarted in <5 residents in the overtreated group and <5 residents in the not overtreated group. Our results suggest that overtreatment of T2DM continues to occur in LTC. The rates of overtreatment we observed are consistent with other published studies among LTC residents in Canada and the United States.4-8 We found higher rates of deprescribing compared to a recent study in US LTC homes, which may be explained by our longer follow-up period.8 Limitations included missing HbA1c data for around 30% of residents with diabetes. We did not capture ethnicity, socioeconomic factors, and other factors that could affect T2DM management. Data collection was limited to urban Vancouver area LTC homes. Deprescribing of antihyperglycemics in LTC appears to be safe, with a 2022 US cohort study finding deintensification was not associated with an increased risk of adverse events (ED visits, hospitalizations, death) at 60 days.10 However, scaling back T2DM care can be challenging for both healthcare providers and people with T2DM.11 Most healthcare providers and people with T2DM are open to considering antihyperglycemic deprescribing but require support, tools, and guidance to do so.11, 12 Efforts that promote individualizing T2DM care in LTC continue to be warranted. This may include knowledge translation efforts for existing guidance and/or quality improvement or implementation strategies.1, 3 Concept and design: Wade Thompson, Aaron Tejani. Acquisition of data: Wade Thompson, Aaron Tejani, Isla Drummond, Jeffrey Pan, Alixandra Logan, AmirHossein Moradi, Maric Son, Heather Brodoway, Kanika Khosla, Kruti Shukla. Analysis and interpretation of data: All. Manuscript preparation: All. The authors would like to acknowledge Anthony Tung for his assistance with drug utilization data. None to declare. This article did not receive any financial support and thus no sponsor had a role in the study. No sources of funding.

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)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,160

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,005
Études des sciences et des technologies0,0030,001
Communication savante0,0020,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,013
Tête enseignante GPT0,263
Écart entre enseignants0,250 · 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'étudeObservationnel
Domainenon disponible
GenreCommentaire

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

En bref

Citations4
Publié2023
Routes d'admission2
Résumé présentoui

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