Quality improvement of diabetes care using flow sheets in family health practice
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
OBJECTIVE: To show that the use of a flow sheet would improve performance of family physicians in diabetes care. METHODS: This is a one-year intervention study conducted in 7 family practice clinics in Taif Armed Forces Hospitals, Taif, Saudi Arabia from March 2006 to June 2007. Diabetic flow sheet was developed based on the clinical practice guidelines of Canada for the management of type 2 diabetes. Patients' records were selected by systematic random sampling technique. RESULTS: Four hundred and fourteen medical records of patients with type 2 diabetes were included in the study. Compliance with the quality indicators was audited using 9 quality improvement indicators. Significant improvement was detected in the indicators of body mass index, glycosylated hemoglobin, microalbuminuria, lipid profile, retinoscopy, foot examination, and peripheral neuropathy examination. CONCLUSION: Flow sheet can be effective in improving quality of care not only for diabetes but also for other chronic conditions.
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 | 0.001 |
| 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