Identifying Barriers and Facilitators for Increasing Uptake of Sodium-Glucose Cotransporter-2 (SGLT2) Inhibitors in British Columbia, Canada, using the Consolidated Framework for Implementation Research
Notice bibliographique
Résumé
Background: Care gaps remain in modern health care despite the availability of robust, evidence-based medications. Although sodium-glucose cotransporter-2 (SGLT2) inhibitors have demonstrated profound benefits in improving both cardiovascular and kidney outcomes in patients, the uptake of these medications remain suboptimal, and the causes have not been systematically explored. Objective: The purpose of this study was to use the Consolidated Framework for Implementation Research (CFIR) to describe the barriers and facilitators faced by clinicians in British Columbia, Canada, when prescribing an SGLT2 inhibitor. To achieve this, we conducted semistructured interviews using the CFIR with practicing family physicians, nephrologists, endocrinologists, and cardiologists in British Columbia. Design: Semistructured interviews. Setting: British Columbia, Canada. Participants: Actively practicing family physicians, nephrologists, endocrinologists, and cardiologists in British Columbia. Methods: Twenty-one clinicians were interviewed using questions derived from the CFIR. The audio recordings were transcribed verbatim, and each transcription was individually analyzed in duplicate using thematic analysis. The analysis focused on identifying barriers and facilitators to using SGLT2 inhibitors in clinical practice and coded using the CFIR constructs. Once the transcriptions were coded, overarching themes were created. Results: Five overarching themes were identified to the barriers and facilitators to using SGLT2 inhibitors: current perceptions and beliefs, clinician factors, patient factors, medication factors, and health care system factors. The current perceptions and beliefs were that SGLT2 inhibitors are efficacious and have distinct advantages over other agents but are underutilized in British Columbia. Clinician factors included varying levels of knowledge of and comfort in prescribing SGLT2 inhibitors, and patient factors included intolerable adverse events and additional pill burden, but many were enthusiastic about potential benefits. Multiple SGLT2 inhibitor related adverse events like mycotic infections and euglycemic diabetic ketoacidosis and the difficulty in obtaining reimbursement for these medications were also identified as a barrier to prescribing these medications. Facilitators for the use of SGLT2 inhibitors included consensus among colleagues, influential leaders, and peers in support of their use, and endorsement by national guidelines. Limitations: The experience from the clinicians regarding costs and the reimbursement process is limited to British Columbia as each province has its own procedures. There may be responder bias as clinicians were approached through purposive sampling. Conclusion: This study highlights different themes to the barriers and facilitators of using SGLT2 inhibitors in British Columbia. The identification of these barriers provides a specific target for improvement, and the facilitators can be leveraged for the increased use of SGLT2 inhibitors. Efforts to address and optimize these barriers and facilitators in a systematic approach may lead to an increase in the use of these efficacious medications.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,015 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,014 | 0,005 |
| Communication savante | 0,005 | 0,001 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».