Household context and psychosocial impact of childhood multidrug-resistant tuberculosis in KwaZulu-Natal, South Africa
Bibliographic record
Abstract
SETTING: Referral hospital for drug-resistant tuberculosis (TB) in KwaZulu-Natal, South Africa. OBJECTIVES: We conducted interviews with primary care givers of children admitted with multidrug-resistant TB (MDR-TB) during a 3-month period in 2015 to identify broader household challenges. RESULTS: We interviewed 26 care givers, most of whom were women (85%). Most households had been decimated by TB/MDR-TB and human immunodeficiency virus (HIV) infection, and were dependent upon government grants. In 54% of cases, parents were absent due to illness or death, or their whereabouts were not known. The median age of the children treated for MDR-TB was 8 years (range 2-14); 72% were HIV-co-infected. Four themes emerged in the interviews: 1) the psychosocial impact of hospitalisation and separation on the child and the household, 2) the psychosocial impact of MDR-TB on children and 3) on care givers, and 4) the economic hardship of affected households. Children had to contend with multiple diseases and medications, and personal family losses; they faced behavioural, emotional and cognitive difficulties. Care givers were often anxious and concerned about the child's longer-term prospects, while the cost of hospital visits exacerbated the pre-existing economic vulnerability of affected households. CONCLUSION: The socio-economic impact of childhood MDR-TB reverberates beyond diseased children to their affected households. Enhanced social protection, psychosocial support and treatment literacy would create the foundations for family-centred care.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".