Framework for primary care organizations: the importance of a structural domain
Bibliographic record
Abstract
PURPOSE: Conceptual frameworks for primary care have evolved over the last 40 years, yet little attention has been paid to the environmental, structural and organizational factors that facilitate or moderate service delivery. Since primary care is now of more interest to policy makers, it is important that they have a comprehensive and balanced conceptual framework to facilitate their understanding and appreciation. We present a conceptual framework for primary care originally developed to guide the measurement of the performance of primary care organizations within the context of a large mixed-method evaluation of four types of models of primary care in Ontario, Canada. METHODS: The framework was developed following an iterative process that combined expert consultation and group meetings with a narrative review of existing frameworks, as well as trends in health management and organizational theory. RESULTS: Our conceptual framework for primary care has two domains: structural and performance. The structural domain describes the health care system, practice context and organization of the practice in which any primary care organization operates. The performance domain includes features of health care service delivery and technical quality of clinical care. CONCLUSION: As primary care evolves through demonstration projects and reformed delivery models, it is important to evaluate its structural and organizational features as these are likely to have a significant impact on performance.
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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 | 0.028 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.007 | 0.029 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".