Assessment of Quality Guidelines Implementation Using a Continuous Quality Improvement Programme
Bibliographic record
Abstract
BACKGROUND: Data from the Dialysis Outcomes and Practice Patterns Study (DOPPS) study suggest that the level of implementation of the European Best Practice Guidelines (EBPG) is at best partial. The main aim of this study is to describe the level of implementation of the EBPG in the European Fresenius Medical Care (FME) clinic network. METHODS: Data presented in this investigation were gained through the FME database EuCliD (European Clinical Database). Patient data from 4 countries (Great Britain, France, Italy, Spain) were selected from the EuCliD database. The parameters chosen were haemodialysis adequacy, biocompatibility, anaemia control and serum phosphate control, which are surrogate indicators for quality of care. They were compared, by country, between the first quarter (Q1) 2002 and the fourth quarter (Q4) 2005. RESULTS: During Q1 2002 and Q4 2005, respectively, a total of 7,067 and 9,232 patients were treated in FME clinics located in France, Italy, Spain and the UK. This study confirms variations in haemodialysis practices between countries as already described by the DOPPS study. A large proportion of patients in each country achieved the targets recommended by the EBPG in Q4 2005 and this represented a significant improvement over the results achieved in Q1 2002. CONCLUSIONS: Differences in practices between countries still exist. The FME CQI programme allows some of these differences to be overcome leading to an improvement in the quality of the treatment delivered.
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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".