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
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".