Inter-rater agreement of scores to assess quality of care in public sector primary health care facilities – A pattern of performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To determine if the scores obtained from the Ideal Clinic Assessment Tool (ICAT) used to assess the quality of care in public Primary Health Care facilities in South Africa showed inter-rater agreement between self-assessments, district peer reviews and cross-district peer reviews. The ICAT scores obtained in the three types of reviews were paired as follows: self-assessments/district peer reviews, self-assessment/cross-district peer reviews and district/cross-district peer reviews. The global scores and averages of the Vital elements for the three paired reviews for 587 facilities across the country were compared using Bland-Altman plots. RESULTS: The Bland-Altman plots showed no inter-rater agreement between the global scores and averages of the Vital elements for the facilities in any of the paired reviews (n = 1 761 reviews). Similarly, there was no inter-rater agreement between the global scores of the three paired reviews in any of the nine provinces in the country. CONCLUSION: There is still a need to continue to conduct both district and cross-district reviews despite the substantial cost of doing so. Further studies are required to determine what factors contributed to the disagreement in scores between the different types of reviews despite the preparatory training of reviewers.
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.
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) | 0.000 | 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 it