Assessment of current practices in management of childhood TB among frontline clinicians in Southern Nigeria
Bibliographic record
Abstract
BACKGROUND: Poor competence of clinicians may be a critical factor responsible for the under-diagnosis of childhood TB in high-burden settings. Our objective was to assess the current practices of management of childhood TB among clinicians in Nigeria. METHODS: A cross-sectional survey was conducted among clinicians recruited through a three-stage sampling technique from 76 health facilities in Southern Nigeria. A semi-structured questionnaire was administered to all participants. RESULTS: Of 106 clinicians who completed the survey, 73 (68.9%) were <40 years and 67 (63.2%) were males. Also, 14 (13.2%) were paediatricians, 22 (20.8%) were paediatric specialist trainees and 70 (66%) were medical officers in primary and secondary care health facilities. About 94% of the respondents perceived diagnosis of childhood TB a challenge in Nigeria. The overall mean (SD) knowledge score was 3.8±0.9 (maximum 5), and 68 (64.2%) had good knowledge of childhood TB. The mean (SD) appropriate practice score was 4.0±1.7 (maximum 10) and, only 8 (7.5%) of them were considered to have adopted appropriate practices regarding childhood TB care. CONCLUSIONS: There are gaps in practices adopted by frontline clinicians in the management of childhood TB in Nigeria. Focused training of health workers on childhood TB care is urgently recommended.
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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 | 0.002 | 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 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".