Adherence to tuberculosis care in Canadian Aboriginal populations Part 1: definition, measurement, responsibility, barriers
Bibliographic record
Abstract
OBJECTIVES: In a 2-part series, the current literature with respect to adherence to tuberculosis care among Canadian Aboriginal populations is reviewed. In the current paper, which comprises part 1 of this review, adherence is defined, and methods of measurement, issues of responsibility and potential barriers to adherence are explored. Study design. Literature review. METHODS: A systematic search and analytic review of relevant studies was undertaken, including an online search of electronic databases (PubMed, PsychINFO, MEDLINE, Native Health Database, Scopus, Social Science Citation Index) and publications by governmental and non-governmental agencies. RESULTS: Poor adherence to therapy for TB disease is the most common cause of initial treatment failure and of disease relapse worldwide. Adherence to care for TB disease is necessary for the health of both the affected individual and society as a whole. Adherence is a task-specific behaviour that is not inherent to ethnic identity. The term applies only when common agreement over a care plan has been reached between patient and provider. The International Standards for Tuberculosis Care and the Patients Charter outline the responsibilities for adherence on the part of both patients and providers. For Canadian Aboriginals, barriers to adherence may derive from a complex interaction between the health system, personal factors and social factors, which may include dysfunctional acute and public health systems, dissonant (between health care provider and patient) belief systems, concurrent co-morbidities and life stressors, poverty and social stigma. CONCLUSIONS: Adherence is a task-specific behaviour, not a personality trait. It is influenced by the interaction of systemic, personal and societal factors. These factors must be understood within the historical experience of TB and the cultural meaning of health and illness among Indigenous Canadians.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".