Implementation of PDOPPS in a middle-income country: Early lessons from Thailand
Bibliographic record
Abstract
BACKGROUND: Despite the implementation of a 'Peritoneal Dialysis (PD) First' policy in Thailand since 2008, nationwide PD practices and patients' outcomes have rarely been reported. METHODS: As part of the multinational PD Outcomes and Practice Patterns Study (PDOPPS), PD patients from 22 PD centres from different geographic regions, sizes and affiliations, representing Thailand PD facilities, have been enrolled starting in May 2016. Demographic, clinical and laboratory data and patients' outcomes were prospectively collected and analysed. RESULTS: The pilot and implementation phases demonstrated excellent concordance between study data and validation data collected at enrolment. In the implementation phase, 848 PD patients (including 262 (31%) incident PD patients) were randomly sampled from 5090 patients in participating centres. Almost all participants (95%) performed continuous ambulatory PD (CAPD), and a high proportion had hypoalbuminemia (67%, serum albumin < 3.5 g/dL), anaemia (42%, haemoglobin <10 g/dL) and hypokalaemia (37%, serum potassium < 3.5 mmol/L). The peritonitis rate was 0.40 episodes/year, but the culture-negative rate was high (0.13 episodes/year, 28% of total episodes). The patients from PD clinics located in Bangkok metropolitan region had higher socio-economic status, more optimal nutritional markers, blood chemistries, haemoglobin level and lower peritonitis rates compared to the provincial regions, emphasizing the centre effect on key success factors in PD. CONCLUSIONS: Participation in the PDOPPS helps unveil the critical barriers to improving outcomes of PD patients in Thailand, including a high prevalence of hypokalaemia, anaemia, poor nutritional status and culture-negative peritonitis. These factors should be acted upon to formulate solutions and implement quality improvement on a national level.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".