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Project Number: | I01HX002220-01A1 |
| Title: | Advanced Prediction Models to Optimize Treatment and Access for Veterans with Hepatitis C |
| Principal Investigator: | Akbar K Waljee |
| Location: | Ann Arbor, MI |
| Congressional District Code: | 12 |
| Research Service: | Health Services R&D |
| Project Period: | April 2017 - March 2021 |
| FY 2021 Funding Amount: | $92,820 |
| Total Award Amount (all years): |
$1,099,600 |
| Abstract: |
View full abstract and other project information on NIH RePORTER Go To NIH RePORTER Excerpt: Background Chronic hepatitis C (CHC) is a major public health problem that currently afflicts over 250,000 Veterans. The Food and Drug Administration (FDA) recently approved several direct acting antiviral agents (DAAs) for the treatment of CHC. Unlike prior interferon-based treatment regimens for CHC, DAAs are highly effective, have a favorable safety profile, and are well tolerated, eliciting significant consumer demand. However, DAAs are also extremely costly, making it difficult for healthca... |