Measuring the performance of health care services: a review of international experiences and their application to urban contexts
Bibliographic record
Abstract
Background: The objective of performance assessment is to provide governments and populations with appropriate information about the state of their health care system. The objective of this paper is to present the most recent developments in performance assessment and their application in urban contexts. Methods: Literature review in PubMed (1970-2004). We identified additional papers and grey literature from retrieved references. Results: Performance assessment initiatives were identified in Australia, Canada, the United Kingdom, and New Zealand. The World Health Report 2000 is one of the best known examples of a transnational approach to performance assessment. Conclusion: The best developed initiatives to date are those that define precise categories, criteria and indicators with which to analyse and assess health care systems, based on a solid conceptual framework. Performance assessment fits perfectly in urban contexts, as it is a useful tool for designing and monitoring policies, assessing the quality of the services provided, and measuring the health status of city dwellers. Barcelona and Montreal are currently collaborating together on a project to assess the performance assessment of their respective health care services.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".