Devolution to democratic health authorities in Saskatchewan: an interim report.
Bibliographic record
Abstract
BACKGROUND: In 1995 Saskatchewan adopted a district health board structure in which two-thirds of members are elected and the rest are appointed. This study examines the opinions of board members about health care reform and devolution of authority from the province to the health districts. METHODS: All 357 members of Saskatchewan district health boards were surveyed in 1997; 275 (77%) responded. Analyses included comparisons between elected and appointed members and between members with experience as health care providers and those without such experience, as well as comparisons with hypotheses about how devolution would develop, which were advanced in a 1997 report by another group. RESULTS: Most respondents felt that devolution had resulted in increased local control and better quality of decisions. Ninety-two percent of respondents believed extensive reforms were necessary and 83% that changes made in the previous 5 years had been for the best. However, 56% agreed that there was no clear vision of the reformed system. A small majority (59%) perceived health care reform as having been designed to improve health rather than reduce spending, contrary to a previous hypothesis. Many respondents (76%) thought that boards were legally responsible for things over which they had insufficient control, and 63% perceived that they were too restricted by rules laid down by the provincial government, findings that confirm the expectation of tensions surrounding the division of authority. Respondents with current or former experience as health care providers were less likely than nonprovider respondents to believe that nonphysician health care providers support decisions made by the regional health boards (45% v. 63%, p = 0.02), a result that confirmed the contention that the role of health care providers on the boards would be a source of tension. INTERPRETATION: Members of Saskatchewan district health boards supported the general goals of health care reform and believed that changes already undertaken had been positive. There were few major differences in views between appointed and elected members and between provider and nonprovider members. However, tensions related to authority and representation will require resolution.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".