Patient perspectives on the British Columbia Biosimilars Initiative: a qualitative descriptive study
Bibliographic record
Abstract
In May 2019, the Government of British Columbia (BC) announced the implementation of the Biosimilars Initiative, mandating the switch of biologic (originator) drugs to biosimilars for certain patient populations in the hopes of optimizing public resources. Through this qualitative study, we aimed to identify patients' perspectives as they undergo this change. From October 2019 to July 2020, we conducted nine pre- and six post-switch to biosimilar interviews with BC, English speaking participants, who were 18 years or older, and were currently taking a biologic medication. Participants were interviewed pre- and post-switch to a biosimilar medication and interviews were audio-recorded and transcribed verbatim for qualitative analysis. Interviews were thematically analysed and major themes and sub-categories were elucidated. The themes derived from pre and post-switch interviews captured participants' anticipated or experienced barriers and enablers to the policy change. In general, the fears and apprehension of participants approaching the switch, including concerns surrounding the efficacy and safety of biosimilars, were addressed by their rheumatologist and social support circles. For the most part, participants were able to successfully manage their disease regardless of their baseline concerns about efficacy and safety. Experiences of changes in health delivery models were also observed secondary to the impact of the COVID-19 pandemic amongst participants. This study is the first of its kind to characterize the patient perspective regarding the BC Biosimilars Initiative. The incorporation of the patient perspective, including adequate provider-patient communication and shared decision-making can help to inform future non-medical switching policy changes.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.017 | 0.011 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".