TB burden and diagnostic challenges at Sandaun Provincial Hospital in West Sepik Province of PNG, 2016–2021
Bibliographic record
Abstract
SETTING: Bacteriological confirmation of TB diagnosis remains a key operational challenge in Papua New Guinea. Sandaun Provincial Hospital (SPH) is the main TB diagnostic and treatment centre of West Sepik Province. OBJECTIVE: To evaluate TB caseload, patient characteristics, and quality of diagnosis at SPH between 2016 and 2021. DESIGN: A retrospective descriptive study using TB treatment, laboratory, and presumptive TB registers to collect data on all TB patients. We used multivariable logistic regression to determine factors associated with bacteriological confirmation. RESULTS: = 0.002). The proportion bacteriologically confirmed was low (37.3%), being higher in young adults 15-44 years (50.6%, 377/745) than in children <15 years (6.3%, 20/319) or older adults ≥45 years (37.6%, 68/181). Bacteriological confirmation was less likely in people travelling ≥3 hours to a health facility (adjusted OR 0.58, 95% CI 0.34-0.97) and extrapulmonary TB (aOR 0.01, 95% CI 0.00-0.03) but more likely for retreatment cases (aOR 1.59, 95% CI 1.00-2.51). CONCLUSION: Diagnostic services in West Sepik Province need strengthening to achieve a higher proportion of bacteriological confirmation in new pulmonary and extrapulmonary TB cases of all ages and improve access for the rural population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".