Lifestyle, attitudes and needs of uncured <scp>XDR</scp>‐<scp>TB</scp> patients living in the communities of South Africa: a qualitative study
Bibliographic record
Abstract
OBJECTIVE: Patient-level data are required to inform strategies interrupting transmission and default in patients with extensively drug-resistant TB (XDR-TB) to improve models of care and identify potential routes of transmission. We therefore explored the experiences, lifestyle, attitudes and needs of patients with uncured XDR-TB, who failed or interrupted therapy, living without treatment in the community. METHODS: We conducted in-depth interviews with 12 community-based patients from South Africa. Family members were interviewed when patients were unavailable. Interviews were analysed using inductive thematic analysis. RESULTS: The thematic experiences identified from the interviews were as follows: (i) living with but not being cured of XDR-TB, (ii) altered lifestyle in the community, (iii) experiences with community health care, (iv) local community members, and (v) wants and needs. Patients identified mistrust in health care, futility of treatment regimens, a need for a purpose in life and subsistence as major concerns. Restriction of living in the community for patients whose treatment had failed resulted in self-imposed isolation. Defaulters focused more on the never-ending drug regimen and bad experiences with health care contributing to non-adherence. Family members emphasised an under-recognised experience of unforeseen burden, obligation, worry and discomfort. Lack of knowledge and lack of concern about transmission was evident. CONCLUSION: Current models of care are not adequately meeting the needs of patients with uncured XDR-TB and relatives. These data inform the need for community-based palliative care, vocational facilities to improve economic opportunities, home-based infection control and improved psychosocial support to increase patient adherence, reduce transmission, provide income and relieve the burden on family members.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".