Development and Validation of Surveillance-Based Algorithms to Estimate Hepatitis C Treatment and Cure in New York City

Abstract

The algorithms developed by DOHMH are able to accurately identify HCV treatment and cure using only routinely reported surveillance data. Such algorithms can be used to measure treatment and cure jurisdiction-wide and will be vital for monitoring and addressing HCV. NYC DOHMH will apply these algorithms to surveillance data to monitor treatment and cure rates at city-wide and programmatic levels, and use the algorithms to measure progress towards defined treatment and cure targets for the city.

Evaluation of a hepatitis C clinical care coordination programme’s effect on treatment initiation and cure: A surveillance‐based propensity score matching approach

“…Outcome Variables: We assessed treatment initiation and SVR using DOHMH‐developed and validated algorithms that use reported positive and negative RNA tests to identify treatment and cure . Treatment initiation was defined as having any past high positive (viral load ≥1000 IU/mL) RNA test result followed by a negative RNA test result in the surveillance registry.…”

“…Cure was defined relative to the date of an individual’s first negative, indeterminate (positive, below the limit of detection), or low‐positive (viral load <1000 IU/mL) RNA test result after their most recent high‐positive RNA result. After this date, they must have at least one additional negative RNA test performed at least 4 months later and no subsequent high positive RNA results to be considered cured …”

“…We assessed treatment initiation and SVR using DOHMH-developed and validated algorithms that use reported positive and negative RNA tests to identify treatment and cure. 34…”

A Surveillance-Based Hepatitis C Care Cascade, New York City, 2017

“…9 These features allow the DOHMH to measure HCV testing and develop surveillance-based algorithms that estimate HCV treatment and cure. 10 Given the limited access to clinical data and the availability of a robust surveillance system, DOHMH developed an HCV care cascade by using surveillance data that encompassed the NYC population with an HCV diagnosis. We developed a cascade that presents the current state of HCV care, can be readily refreshed with the latest surveillance data, and can identify gaps and direct interventions to improve HCV diagnosis, treatment, and cure rates in NYC.…”

Dialysis facility screening and testing practices in the era of improved hepatitis C treatment

“…Finally, treatment initiation among dialysis patients was estimated using a DOHMH‐developed and validated treatment algorithm . Treatment initiation is defined as at least one negative RNA result preceded by a high positive (viral load ≥1000 IU/mL) RNA result.…”