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Record W3018411196 · doi:10.1186/s12890-020-1141-y

People–centred care versus clinic–based DOT for continuation phase TB treatment in Armenia: a cluster randomized trial

2020· article· en· W3018411196 on OpenAlexfundno aff
Vahe Khachadourian, Nune Truzyan, Arusyak Harutyunyan, Varduhi Petrosyan, Hayk Davtyan, Karapet Davtyan, Martin van den Boom, Michael Thompson

Bibliographic record

VenueBMC Pulmonary Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
FundersGrand Challenges Canada
KeywordsMedicineDirectly Observed TherapyRandomized controlled trialQuality of life (healthcare)Intervention (counseling)Clinical trialOutpatient clinicIntention-to-treat analysisTuberculosisPhysical therapyCluster (spacecraft)Family medicineInternal medicinePsychiatryHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

BACKGROUND: WHO's directly observed therapy (DOT) strategy for tuberculosis (TB) treatment depends upon a well-organized healthcare system. This study sought to evaluate the effectiveness of self-administered drug intake supported by a family member versus in-clinic DOT. METHODS: This open-label, nationally-representative stratified cluster randomized controlled non-inferiority trial with two parallel equal arms involved drug-susceptible pulmonary TB patients in the continuation treatment phase. We randomly assigned outpatient-TB-centres (52 clusters) to intervention and control arms. The intervention included an educational/counseling session to enhance treatment adherence; weekly visits to outpatient-TB-centres to receive medication, and daily SMS medication reminders and phone calls to track adherence and record side effects. Controls followed clinical DOT at Outpatient-TB-centres. Both groups participated in baseline and 4-5 months follow-up surveys. The trial's non-inferiority comparisons include: treatment success as the clinical (primary) outcome and medication adherence (self-reported), knowledge, depressive symptoms, stigma, quality of life, and social support as non-clinical (secondary) outcomes. RESULTS: Per-protocol analysis showed that the intervention (n = 187) and control (n = 198) arms achieved successful treatment outcome of 92.0 and 92.9%, respectively, indicating that the treatment success in the intervention group was non-inferior to DOT. Knowledge, depression, stigma, quality of life, and social support also showed non-inferiority, demonstrating substantial improvement over time for knowledge (change in the intervention = 1.05: 95%CL (0.49, 1.60); change in the control = 1.09: 95%CL (0.56, 1.64)), depression score (change in the intervention = - 3.56: 95%CL (- 4.99, - 2.13); change in the control = - 1.88: 95% CL (- 3.26, - 0.49)) and quality of life (change in the intervention = 5.01: 95%CL (- 0.64, 10.66); change in the control = 7.29: 95%CL (1.77, 12.81)). The intervention resulted in improved treatment adherence. CONCLUSIONS: This socially empowering alternative strategy might be a preferable alternative to DOT available to patients in Armenia and in other countries. Further research evaluating cost effectiveness of the intervention and generalizability of the results is warranted. TRIAL REGISTRATION: Clinicaltrials.gov: NCT02082340, March 10, 2014.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.123
GPT teacher head0.417
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations35
Published2020
Admission routes1
Has abstractyes

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