Canadian Experts' Views on the Importance of Attributes within Professional and Community-Oriented Primary Healthcare Models
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: The aim of this study was to rate the importance of primary healthcare (PHC) attributes in evaluations of PHC organizational models in Canada. METHODS: Using the Delphi process, we conducted a consensus consultation with 20 persons recognized by peers as Canadian PHC experts, who rated the importance of PHC attributes within professional and community-oriented models of PHC. RESULTS: ATTRIBUTES RATED AS ESSENTIAL TO ALL MODELS WERE DESIGNATED CORE ATTRIBUTES: first-contact accessibility, comprehensiveness of services, relational continuity, coordination (management) continuity, interpersonal communication, technical quality of clinical care and clinical information management. Overall, while all were important, non-core attributes - except efficiency/productivity - were rated as more important in community-oriented than in professional models. Attributes rated as essential for community-oriented models were equity, client/community participation, population orientation, cultural sensitivity and multidisciplinary teams. CONCLUSION: Evaluation tools should address core attributes and be customized in accordance with the specific organizational models being evaluated to guide health reforms.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 it