Bibliographic record
Abstract
Pharmacy prescribing policy in Israel has been negotiated and changed in recent years in order to improve patient treatment and access to medicines, and reduce national health insurance costs by allowing pharmacists to prescribe medications. Various stakeholders and institutions were involved in the formulation process, affecting the process while representing different motives. The complexity of pharmacy prescribing policy formulation is universal - any policy project needs, for strategic and tactical reasons, to acquire an inventory of institutions involved, identify the key players and explore potential support or opposition among them. This article uses the field (theory) of new institutional economics to explain the process of pharmaceutical institutional change and identifies the stakeholders who are involved in the reform. In the framework of pharmaceutical policies, seven models of prescribing practices are outlined, and the Canadian and British prescribing models are presented. The paper then focuses on the Israeli case and the main issues that concern decision-makers in the Israeli health system, such as inequality in access to health services and the erosion of the notion of universal health services. These concerns and the involvement of different stakeholders, such as The Israeli Medical Association (IMA) and health funds, influenced and directed the final Pharmacist Prescribing Law. After several rejections and amendments the law was passed, enabling experienced pharmacists to prescribe only to patients with a previous prescription given by a physician in the hope it would improve services to patients and reduce physicians' workloads. Here, the topic of the new prescribing policy is introduced, using tools from the new institutional school in political economy.
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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 | 0.015 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".