Multi-level Determinants of Starting ART Late in Sub-Saharan Africa (LSTART Study): A Case-control Study to Identify Individual-level Risk Factors for Late ART Initiation in Ethiopia
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 1,214
- 试验地点
- 6
- 主要终点
- Proportion of Persons Initiating ART Late
研究概览
简要总结
The availability of HIV care and treatment programs is increasing in sub-Saharan Africa. However more than half the patients who need HIV treatment are still not receiving antiretroviral therapy (ART). This can lead to early death from AIDS. Additionally, many patients start ART late after the HIV disease is very advanced. This results in high death rates soon after starting ART. The factors that contribute to late ART initiation are still unclear. This study will identify factors that help patients to enroll or prevent them from enrolling into HIV care and starting ART on time. We will examine the characteristics of all patients initiating ART at study sites. We will also look at potential risk factors among patients who initiate ART late (cases) compared to patients who initiate earlier (controls) at 6 HIV care and treatment clinics in Ethiopia. Data will be collected using 2 methods:
- Face-to-face interviews with participants using questionnaires
- Obtaining clinical data from the electronic patient-level database
Identifying factors that help patients to start or prevent them from starting ART on time will help to direct interventions, programs and policies to reduce early death.
详细描述
Background: Although HIV care and treatment programs are being scaled up in sub-Saharan Africa, more than 50% of the patients in need of ART are not receiving it and there is still significant mortality from AIDS. One of the major challenges is high rates of late ART initiation (i.e., in the advanced stages of HIV disease) which results in high rates of mortality soon after initiation of ART. The individual-level factors that contribute to late ART initiation are still unclear. Objective: As the 3rd part of a 3-phase NIH-sponsored project, this study aims to identify individual-level enablers and barriers to timely enrollment into HIV care and ART initiation.
Methods: We will be recruiting all patients newly initiating ART at the study sites for descriptive analysis (approximately 1,200). As a sub-analysis, we will be utilizing a case-control approach to examine potential individual risk factors (e.g. knowledge and behaviors around HIV care and treatment, experience of stigma, and other perceived barriers and enablers to earlier HIV diagnosis, enrollment into care, and ART initiation) among 360 patients who initiated ART late (CD4 count <150 cells/µL compared to 360 patients who initiated earlier (CD4≥200) at 6 HIV care and treatment clinics in Ethiopia. For both the descriptive study and case-control study, data will be collected using 2 methods:
- Face-to-face interviews with participants using structured questionnaires
- Abstraction of clinical data from the electronic patient-level database to capture patient information at baseline, 6 and 12 months after enrollment in the study
Expected use of results: Identifying individual-level enablers and barriers of timely ART initiation will facilitate implementation of interventions, programs and policies to mitigate the problem of late ART initiation.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Aged 18 years (the age of majority in Ethiopia) or older.
- •ART naïve.
- •Eligible for ART according to Ethiopia's National ART guideline criteria.
- •Have received a prescription for ART during the study period.
- •Speak either Oromiffa or Amharic.
- •Special inclusion criteria for case-control sub-analysis:
- •Cases: CD4 count <150 cells/µL (regardless of WHO stage)
- •Controls: CD4 ≥200.
排除标准
- •Overtly cognitively impaired
- •Inability or unwillingness to provide informed consent
- •Actively incarcerated
结局指标
主要结局
Proportion of Persons Initiating ART Late
时间窗: 12 months
次要结局
未报告次要终点
研究者
Batya Elul
Assistant Professor of Clinical Epidemiology
Columbia University
