A performance assessment framework for hospitals: the WHO regional office for Europe PATH project
Bibliographic record
Abstract
OBJECTIVE: The World Health Organization (WHO) Regional Office for Europe launched in 2003 a project aiming to develop and disseminate a flexible and comprehensive tool for the assessment of hospital performance and referred to as the performance assessment tool for quality improvement in hospitals (PATH). This project aims at supporting hospitals in assessing their performance, questioning their own results, and translating them into actions for improvement, by providing hospitals with tools for performance assessment and by enabling collegial support and networking among participating hospitals. METHODS: PATH was developed through a series of four workshops gathering experts representing most valuable experiences on hospital performance assessment worldwide. An extensive review of the literature on hospital performance projects was carried out, more than 100 performance indicators were scrutinized, and a survey was carried out in 20 European countries. RESULTS: Six dimensions were identified for assessing hospital performance: clinical effectiveness, safety, patient centredness, production efficiency, staff orientation and responsive governance. The following outcomes were achieved: (i) definition of the concepts and identification of key dimensions of hospital performance; (ii) design of the architecture of PATH to enhance evidence-based management and quality improvement through performance assessment; (iii) selection of a core and a tailored set of performance indicators with detailed operational definitions; (iv) identification of trade-offs between indicators; (v) elaboration of descriptive sheets for each indicator to support hospitals in interpreting their results; (vi) design of a balanced dashboard; and (vii) strategies for implementation of the PATH framework. CONCLUSION: PATH is currently being pilot implemented in eight countries to refine its framework before further expansion.
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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 | 0.105 | 0.067 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.014 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".