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Enregistrement W6945944119 · doi:10.26190/unsworks/30079

Improving the Uptake of Evidence-based Therapy in Chronic Kidney Disease and Diabetes

2024· dissertation· en· W6945944119 sur OpenAlexaboutno aff

Notice bibliographique

RevueUNSWorks (University of New South Wales, Sydney, Australia) · 2024
Typedissertation
Langueen
DomaineMedicine
ThématiqueDiabetes Treatment and Management
Établissements canadiensnon disponible
Organismes subventionnairesNational Health and Medical Research CouncilAustralian Government
Mots-clésKidney diseaseGeneralizability theoryDiabetes mellitusPopulationDiseaseCohortIncidence (geometry)Clinical trial

Résumé

récupéré en direct d'OpenAlex

Chronic kidney disease (CKD), cardiovascular disease, and diabetes are major health challenges in Canada. In the last 5 years, a series of large randomized controlled trials (RCTs) have demonstrated that sodium-glucose cotransporter-2 inhibitors (SGLT2is) reduce the risk of kidney failure, cardiovascular mortality, and hospitalization for heart failure in people with albuminuric CKD irrespective of diabetes status. Ensuring SGLT2is are optimally used provides a key means for Canada to respond to these looming population health challenges. Exploring the generalizability of these landmark clinical trials to understand the potential impact of SGLT2i use in a Canadian population helps establish the support for their widespread use. A cohort of patients under the care of nephrologists in the province of British Columbia was compared with the participants in two landmark SGLT2i RCTs in order to characterize the burden of disease and explore the generalizability of the findings to the people in British Columbia with CKD. The study indicated that the British Columbia CKD population was older, with a greater proportion of females, and a higher risk group with worse outcomes than the cohorts in the clinical trials. Given the discrepancies in age and sex between the British Columbia CKD population and the trial cohorts, a literature review was firstly conducted to better understand the interaction between sex and the burden and progression of cardiovascular disease in those with CKD. The narrative review highlighted that the prevalence and incidence of cardiovascular disease in patients with CKD by sex is not well described. It also illustrated that all patients with CKD, regardless of sex, are at an elevated risk for cardiovascular disease thus creating a compelling case for the use of effective treatments to reduce this risk. A secondary analysis of a landmark SGLT2i trial was conducted according to age categories and sex to explore whether age or sex led to differences in treatment effect or adverse events. This analysis supports the safety and efficacy of canagliflozin, an SGLT2i, with consistent benefits in kidney and cardiovascular outcomes with minimal differences in the risk of adverse events in patients with CKD across a wide age span and in both males and females. This newly established evidence supports the efforts to increase SGLT2i use across the spectrum of age and both sexes in the British Columbia CKD population. Poor medication adherence is a frequently neglected challenge in healthcare that prevents full realization of the benefits of evidence-based therapies. Forgetting to take medication was identified as one of the most significant patient-reported reason for suboptimal medication adherence in the general CKD literature, with evidence of decline in adherence to SGLT2is to 50-70% within the first year. To better understand additional factors that affect the loss of medication adherence and the challenges in management of SGLT2is, a study was conducted to interview clinicians in British Columbia to determine the barriers and facilitators to utilizing SGLT2is in the local context. The major findings from the clinicians were that some patients do not tolerate adverse effects such as mycotic genital infections and have difficulty remembering information regarding SGLT2is, but many were enthusiastic about the potential benefits. This generated the hypothesis that medication taking reminders and repeated education may be a strategy to improve medication adherence. Given the large geographic area and varying available resources in British Columbia, accessibility and scalability are key practical considerations for an adherence intervention targeting this population. A review of digital and mobile health (mHealth) interventions was conducted in search of a potential intervention that could accommodate these design requirements. The review highlighted examples of effective integration of mHealth into clinical medicine, such as mobile alert detecting acute kidney injury in hospitalized patients resulting in substantial cost savings per patient. Leveraging the ubiquity and low cost of mobile phone communication, a text messaging intervention study was developed with the goal of improving medication adherence to SGLT2is in British Columbia. This hybrid effectiveness-implementation study will determine the effectiveness of a 12-month text message-based intervention covering content regarding the benefits of SGLT2is, adverse reactions, and general health advice and medication reminders. The trial will recruit patients with CKD, cardiovascular disease and/or diabetes, starting a new SGLT2i prescription, and with access to a smart phone. The primary endpoint is medication adherence to SGLT2is at 12 months with secondary assessments at 24 months to assess persistence of any effect after cessation of the intervention. The primary outcome will be measured by mean proportion of days covered (PDC) with an active prescription at 12 months, and implementation outcomes will assess any barriers and facilitators to the incorporation of the text messaging intervention in the local setting. Overall, this thesis describes in detail the potential for SGLT2is to reduce the burden of kidney and cardiovascular disease in the context of a Canadian provincial population. A means of maximizing the benefit of these medications via improved adherence is described and serves as the groundwork for a practical and fundable clinical trial.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,614
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,070
Tête enseignante GPT0,278
Écart entre enseignants0,207 · 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 tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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'admission1
Résumé présentoui

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