Primary Health Care Physicians’ Adherence and Attitude Towards Integrated Management of Childhood Illness Guidelines in Alexandria Governorate in Egypt
Bibliographic record
Abstract
BACKGROUND: Integrated Management of Childhood Illness (IMCI) is a cost-effective strategy that improves the quality of care provided to under - five children. Alexandria was the first governorate that applied the Integrated Management of Childhood Illness guidelines in Egypt. The aim of this study was to assess the degree of primary health care physicians' adherence and attitude towards those guidelines after 17 years of application. METHODS: This cross-sectional study was carried out on a representative sample from the primary health care facilities in Alexandria from which physicians using IMCI guidelines were included in the study. The sample units were chosen randomly from all districts of Alexandria. Observational checklists were developed to assess the degree of adherence of physicians based on the guidelines booklet. RESULTS: The highest adherence score reported was that of writing disease classification (100%). As regards infants aged up to 2 months, the highest physicians' adherence score reported was that of jaundice and possible bacterial infection assessment (100 % and 95% respectively). And in spite of its importance, only 85.7% of physicians were complied with weight assessment and its plotting in the growth curve. For children aged from 2 months up to 5 years physicians were generally well complied with the guidelines especially for assessment of dangerous signs and possible bacterial infection. CONCLUSION: Despite being applied for years, IMCI guidelines still show certain areas of poor adherence, an issue that need further investigation in order to maximize physicians' adherence and achieve the best of their performance.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".