Representations on adherence to the treatment of Multidrug-Resistant Tuberculosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To identify representations regarding adherence to the treatment of multidrug-resistant tuberculosis from the perspective of patients who were discharged upon being cured. METHOD: A qualitative study with patients who completed the drug treatment for multidrug-resistant tuberculosis in São Paulo. Social Determination was used to interpret the health-disease process, and the testimonies were analyzed according to dialectical hermeneutics and the discourse analysis technique. RESULTS: Twenty-one patients were interviewed. The majority (80.9%) were men, in the productive age group (90.4%) and on sick leave or unemployed (57.2%) during the treatment. Based on the testimonies, three categories associated with adherence to treatment emerged: the desire to live, support for the development of treatment and care provided by the health services. CONCLUSION: For the study sample, adherence to the treatment of multidrug-resistant tuberculosis was related to having a life project and support from the family and health professionals. Free treatment is fundamental for adherence, given the fragilities arising from the social insertion of people affected by the disease. Therefore, special attention is required from the health services to understand patient needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it