Implementation of a Simplified, Low-barrier Primary Care HCV Treatment Model for High Risk, High Prevalence Populations in Austin, Texas
试验速览
- 阶段
- 不适用
- 状态
- 进行中(未招募)
- 入组人数
- 64
- 试验地点
- 2
- 主要终点
- Proportion of participants with chronic HCV infection enrolled in the study that achieve SVR-12
研究概览
简要总结
Highly-effective, pan-genotypic direct acting antivirals (DAAs) have made elimination of hepatitis C virus (HCV) a real possibility. A minority of the population infected with HCV has access to care or been prescribed such HCV treatment. Among people experiencing homelessness in the US, and seeking care at Health Care for the Homeless (HCH) clinics, prevalence is 31%, and 70% among people who experience homeless and inject drugs. In N. America, 55% of people who inject drugs (PWID) have HCV. Austin, TX has over 7,000 people experiencing homelessness with about 20% having a substance use disorder.
Treatment of HCV via DAAs is feasible and effective in primary care settings, and is as effective as treatment by specialists. Among people with opioid use disorder receiving opioid agonist therapy it's both effective and cost-effective. Treatment in the primary care setting has also been shown to be feasible and effective for people experiencing homelessness, with supporting evidence of engaging and retaining people in care. Furthermore, a novel HCV treatment model, featuring a simplified HCV treatment algorithm for front-line health care providers (primary care physicians, Nurse Practitioners, Physicians Assistants), has now been published, to help increase capacity, scale-up treatment and achieve elimination.
This study takes the foregoing new simplified approach one step further: Implementing this simplified algorithm for front-line health care providers in primary care settings caring for high-risk populations such as individuals experiencing homelessness and PWID. The novelty is providing treatment in diverse primary care settings, and targeting clinical sites serving high-risk populations, including people experiencing homelessness and PWID. Investigators use an implementation science approach to study the feasibility and effectiveness of the HCV treatment model in achieving HCV cure in high-risk populations.
Investigators hypothesize that by training front-line health care providers on a simplified, low-barrier HCV treatment model and adapting it using a locally contextualized, protocol-driven approach, investigators will effectively scale up HCV treatment across multiple primary care clinical sites serving high-risk populations, yielding sustained virologic response at 12 weeks (SVR-12) in 75% of enrolled participants. Investigators predict theHCV treatment model to measure favorably across implementation process and outcome measures of reach, adoption, implementation, and maintenance.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Treatment
- 盲法
- None
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
- •Adult patients age 18 years and older.
- •Enrolled in care at one of CommunityCare's clinical sites participating in the study.
- •Laboratory diagnosis of HCV
- •Chronic hepatitis C infection
排除标准
- •Have decompensated cirrhosis.
- •Have received hepatitis C treatment previously.
- •Had a liver transplant or actively on the transplant list awaiting a liver transplant.
- •Have resistant HCV virus
- •Infected with HIV
- •Infected with hepatitis B
- •Currently pregnant
结局指标
主要结局
Proportion of participants with chronic HCV infection enrolled in the study that achieve SVR-12
时间窗: The measurement of SVR12 is assessed 12 weeks after completing treatment.
A sustained virological response is defined as an undetectable HCV RNA level 12 weeks after treatment completion.
次要结局
- Clinical outcome: Time to treatment(Approximately 10 months from time of enrollment)
- Clinical outcome: Complete HCV Treatment(Approximately 10 months from time of enrollment)
- Clinical outcome: Initiate HCV treatment(Approximately 10 months from time of enrollment)
研究者
Tim Mercer
Assistant Professor, Chief of the Division of Global Health, Departments of Population Health and Internal Medicine
University of Texas at Austin
