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NCT05487807RECRUITINGanonymous

Quit4Life+: Adapting and Evaluating a Phone-Based Tobacco Use Cessation Program for People Living With HIV in Uganda and Zambia (Quit4Life+ )

Sponsor

Source record

University of Southern California

Phase

Source record

Phase 1

Modality

AI-normalized

small molecule

Target

AI-normalized

Tobacco use cessation in people living with HIV

Indication / condition

AI-normalized

Nicotine Dependence

Intervention

Source record

Nicotine patch, text messaging

Source & freshness

Source record

NCT ID

NCT05487807

Original source

ClinicalTrials.gov

Source last updated

Nov 28, 2023

Ingested at

May 23, 2026

Internal sync

Jun 05, 2026

Model version

trialsignal-ai-v1

Normalized confidence

88%

Validation status

validated

Open original registry record
View original source fields

NCT ID

NCT05487807

Title

Quit4Life+: Adapting and Evaluating a Phone-Based Tobacco Use Cessation Program for People Living With HIV in Uganda and Zambia (Quit4Life+ )

Sponsor

University of Southern California

Status

RECRUITING

Phase

Phase 1

Condition raw

Nicotine Dependence

Condition normalized

Nicotine Dependence

Modality raw

Nicotine Dependence

Modality normalized

small molecule

Target raw

Tobacco use cessation in people living with HIV

Target normalized

Tobacco use cessation in people living with HIV

Interventions

Nicotine patch, text messaging

Public preview

Source record

The Quit4Life+ trial aims to evaluate a phone-based tobacco cessation program specifically designed for individuals living with HIV in Uganda and Zambia. This intervention will be compared against standard care and nicotine replacement therapy, providing insights into its efficacy and feasibility in low-resource settings. The study is expected to inform cost-effective strategies for tobacco cessation among HIV patients, potentially leading to significant health improvements.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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