Equity in health and health care in a decentralised context: evidence from Canada
Bibliographic record
Abstract
The impact of administrative decentralisation on equity in health and health care is an important unresolved issue in the health policy debate. Predictions from the limited theoretical literature and the relevant empirical research are both insufficient to draw any firm conclusions. Many countries are nevertheless experimenting with decentralisation policies in the absence of research evidence. This paper presents an exploratory empirical analysis of decentralisation by investigating the spatial dimensions of health-related equity in Canada, a highly decentralised setting. Using data from the 2001 Canadian Community Health Survey, we apply a decomposition method of the Concentration Index to explore whether income-related inequalities in health and inequities in the use of health care are more likely to be due to gaps between rich and poor Canadian provinces rather than to differences between rich and poor individuals within them. The results show that within area variation is the most important source of income-related health inequality, while income-related inequities in health care use are mostly driven by differences between provinces.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".