Physician-adherence to pharmacotherapy guidelines for chronic heart failure in a tertiary health facility in Lagos, Nigeria
Bibliographic record
Abstract
Background: The increasing need for adherence evaluation of CHF amongst senior physicians in our environment prompted this study. Objective: To determine physician-adherence to pharmacotherapy guidelines in CHF in an economically resource-poor tertiary health facility. Methods: Review of prescription pattern of anti-CHF drug-class of 100 confirmed systolic-CHF patients was carried out. Data for adherence-evaluation were obtained from follow-up information from out-patient clinic-notes, while data on acute care medications and precipitating factors were from in-patient hospitalization notes. Results: CHF patients aged 54.7 ± 14.5 years, had NYHA III/IV symptoms (47%) and hypertension (61%). Anti-CHF pharmacotherapy averaged three drug-types; and consisted of ACEI/ARB (83%), β blockers-BB (48%), aldosterone antagonists (41%), CG (82%), and diuretics (75%). Adherence was assessed as good or complete in 50%, partial/ incomplete in 33%; but non-adherent in 17% of the total. While overall physician-adherence was 59.6% on single drug-classes, survival- advantage combinations with ACEI/ARB+BB and ACEI/ARB+BB+AA were present in 40% and 16% respectively. Older patients (≥ 65 years) had significantly lower prescriptions of all three classes of survival advantage anti-HF drugs, as follows: ACEI/ARB (56% versus 95%); BB (37.5% versus 52%); and AA (31% versus 63%) [p < .05]. Conclusion: BB and AA were under-prescribed. Physician-adherence to evidence-based anti-HF drug classes was variable and influenced by patient’s age. It was also comparable with reports from other countries. Our physicians will benefit from a structured HF education and feed-back program.
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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 | 0.000 | 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 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".