Making Sense of Health Care Planning in Ireland; the Street Level Public Organization (SLPO).
Bibliographic record
Abstract
One of the central mechanisms of the Strategic Management Initiative (SMI) (Government of Ireland 1996) is the devolution of accountability and responsibility from the centre to executive agencies. Service planning was introduced in the Irish health care sector as part of this strategic planning ethos. This paper reports on a study that examined both the intent and the consequences of implementing legislatively mandated planning in the Irish health services, in the context of significant organizational change. In an effort to draw broader lessons, a comparison is drawn with the Canadian experience of service planning.\nThe choice was made to study the dynamics of this policy implementation at a local level by examining a number of health boards in both the Irish and Canadian contexts, as well as accounting for the wider institutional influences; the environment in which those cases were situated. This wider view included looking at other stakeholder perspectives, including government and other health care organisations in the health care system, and examining the legislative influence.\nThis study highlights a number of issues. First, the limits of the control system; the legislation itself, in aligning government policy aims with the planning process, and, second, the lack of recognition of the complexity of the healthcare environment and the stakeholders within it, in attempting to implement policy. This paper posits explanations for the difficulty in aligning strategy and planning in Irish health care after over a decade of service planning.
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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 | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.031 |
| Scholarly communication | 0.021 | 0.009 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".