A visual reminder chart to improve tuberculosis treatment adherence and self-management in a low-resource setting
Bibliographic record
Abstract
BACKGROUND: Treatment adherence in tuberculosis (TB) remains a significant public health challenge, particularly in low-resource settings where limited health literacy contributes to poor outcomes. This study evaluated the effectiveness of a low-cost, visual reminder tool (the TB-Minder Chart) to improve patient adherence and self-management. METHODS: A single-arm pre-post intervention was conducted with 39 adult pulmonary TB patients attending a regional clinic. Participants used the TB-Minder Chart daily for 2 months to record medication intake and reflect on treatment experiences. Adherence was measured using the 8-item Morisky Medication Adherence Scale, and self-management was assessed using a validated TB self-management tool at baseline, mid-intervention, and post-intervention. RESULTS: Significant improvements were observed in adherence and self-management over time (P < .001). Patients reported better integration of medication into daily routines, improved recall of doses when away from home, and fewer skipped doses. Gains were most pronounced in life integration, highlighting the intervention's role in strengthening patient empowerment. CONCLUSIONS: The TB-Minder Chart represents a scalable, participatory, and cost-effective health education strategy to enhance adherence and self-management in TB care. Its simplicity makes it a promising adjunct to existing programs in resource-limited health systems.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".