People-centered tuberculosis care versus standard directly observed therapy: study protocol for a cluster randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Tuberculosis is a major public health concern resulting in high rates of morbidity and mortality worldwide, particularly in low- and middle-income countries. Tuberculosis requires a long and intensive course of treatment. Thus, various approaches, including patient empowerment, education and counselling sessions, and involvement of family members and community workers, have been suggested for improving treatment adherence and outcome. The current randomized controlled trial aims to evaluate the effectiveness over usual care of an innovative multicomponent people-centered tuberculosis-care strategy in Armenia. METHODS/DESIGN: Innovative Approach to Tuberculosis care in Armenia is an open-label, stratified cluster randomized controlled trial with two parallel arms. Tuberculosis outpatient centers are the clusters assigned to intervention and control arms. Drug-sensitive tuberculosis patients in the continuation phase of treatment in the intervention arm and their family members participate in a short educational and counselling session to raise their knowledge, decrease tuberculosis-related stigma, and enhance treatment adherence. Patients receive the required medications for one week during the weekly visits to the tuberculosis outpatient centers. Additionally, patients receive daily Short Message Service (SMS) reminders to take their medications and daily phone calls to assure adherence and monitoring of treatment potential side effects. Control-arm patients follow the World Health Organization--recommended directly observed treatment strategy, including daily visits to tuberculosis outpatient centers for drug-intake. The primary outcome is physician-reported treatment outcome. Patients' knowledge, depression, quality of life, within-family tuberculosis-related stigma, family social support, and self-reported adherence to tuberculosis treatment are secondary outcomes. DISCUSSION: Improved adherence and tuberculosis treatment outcomes can strengthen tuberculosis control and thereby forestall tuberculosis and multidrug resistant tuberculosis epidemics. Positive findings on effectiveness of this innovative tuberculosis treatment people-centered approach will support its adoption in countries with similar healthcare and economic profiles. TRIAL REGISTRATION: ClinicalTrials.gov registration number: NCT02082340. Date of registration: 4 March 2014.
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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 | 0.030 | 0.104 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| 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) | 0.000 | 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; both teacher heads agree on what is shown here.
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".