Physicians’ accounts of frontline tensions when implementing pilot projects to improve primary care
Bibliographic record
Abstract
Purpose Canada's primary care system has been described as "a culture of pilot projects" with little evidence of converting successful initiatives into funded, permanent programs or sharing project outcomes and insights across jurisdictions. Health services pilot projects are advocated as an effective strategy for identifying promising models of care and building integrated care partnerships in local settings. In the qualitative study reported here, the purpose of this paper is to investigate the strengths and challenges of this approach. Design/methodology/approach Semi-structured interviews were conducted with 34 primary care physicians who discussed their experiences as pilot project leads. Following thematic analysis methods, broad system issues were captured as well as individual project information. Findings While participants often portrayed themselves as advocates for vulnerable patients, mobilizing healthcare organizations and providers to support new models of care was discussed as challenging. Competition between local healthcare providers and initiatives could impact pilot project success. Participants also reported tensions between their clinical, project management and research roles with additional time demands and skill requirements interfering with the work of implementing and evaluating service innovations. Originality/value Study findings highlight the complexity of pilot project implementation, which encompasses physician commitment to addressing care for vulnerable populations through to the need for additional skill set requirements and the impact of local project environments. The current pilot project approach could be strengthened by including more multidisciplinary collaboration and providing infrastructure supports to enhance the design, implementation and evaluation of health services improvement initiatives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".