Correction: Nurse-Delivered Cognitive Behavioral Therapy for Adherence and Depression Among People Living With HIV (the Ziphamandla Study): Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
There is an unmet need to develop effective, feasible, and scalable interventions for poor adherence and depression in persons living with HIV in low- and middle-income countries (LMIC). This study aims to investigate the effectiveness of a nurse-delivered cognitive behavioral therapy (CBT) intervention for adherence and depression (CBT-AD) among persons living with HIV who are failing first-line antiretroviral therapy (ART) in Cape Town, South Africa. This study is a 2-arm randomized controlled trial of CBT-AD integrated into the HIV primary care setting in South Africa. A total of 160 participants who did not achieve viral suppression from their first-line ART and have a unipolar depressive mood disorder will be randomized to receive either 8 sessions of CBT-AD or enhanced treatment as usual. Participants will be assessed for major depressive disorder using the Mini International Neuropsychiatric Interview at baseline and 4, 8, and 12 months. The primary outcomes are depression on the Hamilton Depression Scale (HAM-D; as assessed by a blinded assessor) at the 4-month assessment and changes in ART adherence (assessed via real-time, electronic monitoring with Wisepill) between baseline and the 4-month assessment. Secondary outcomes are HIV viral load and CD4 cell count at the 12-month assessment as well as ART adherence (Wisepill) and depression (HAM-D) over follow-up (4-, 8-, and 12-month assessments). The trial commenced in August 2015 and recruitment began in July 2016. Enrollment was completed in June 2019. Results of this study will inform whether an existing intervention (CBT-AD) can be effectively administered in LMIC by nurses with training and ongoing supervision. This will present unique opportunities to further explore the scale-up of a behavioral intervention to enhance ART adherence among persons living with HIV with major depression in a high-prevalence setting, to move toward achieving The Joint United Nations Programme on HIV/AIDS 90-90-90 goals. ClincialTrials.gov NCT02696824; https://clinicaltrials.gov/ct2/show/NCT02696824
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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 | 0.017 | 0.072 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.151 | 0.015 |
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".