Impact of defined clinical population and missing data on temporal trends in HIV viral load estimation within a health care system.

Edelman EJ, Tate JP, Fiellin DA, Brown ST, Bryant K, Gandhi N, Gibert CL, Goetz MB, Gordon KS, Rodriguez-Barradas MC, Braithwaite RS, Rimland D, Justice AC. Impact of defined clinical population and missing data on temporal trends in HIV viral load estimation within a health care system. HIV Medicine. 2015 Jul 1; 16(6):346-54.

Dimensions for VA is a web-based tool available to VA staff that enables detailed searches of published research and research projects.

If you have VA-Intranet access, click here for more information vaww.hsrd.research.va.gov/dimensions/

VA staff not currently on the VA network can access Dimensions by registering for an account using their VA email address.    Search Dimensions for VA for this citation
* Don't have VA-internal network access or a VA email address? Try searching the free-to-the-public version of Dimensions

Search for Abstract from PubMed

---

Abstract:

OBJECTIVES: Community viral load (CVL) estimates vary based on analytic methods. We extended the CVL concept and used data from the Veterans Health Administration (VA) to determine trends in the health care system viral load (HSVL) and its sensitivity to varying definitions of the clinical population and assumptions regarding missing data. METHODS: We included HIV-infected patients in the Veterans Aging Cohort Study, 2000-2010, with at least one documented CD4 count, HIV-1 RNA or antiretroviral prescription (n? = 37?318). We created 6-month intervals including patients with at least one visit in the past 2 years. We assessed temporal trends in clinical population size, patient clinical status and mean HSVL and explored the impact of varying definitions of the clinical population and assumptions about missing viral load. RESULTS: The clinical population size varied by definition, increasing from 16?000-19?000 patients in 2000 to 23?000-26?000 in 2010. The proportion of patients with suppressed HIV-1 RNA increased over time. Over 20% of patients had no viral load measured in a given interval or the past 2 years. Among patients with a current HIV-1 RNA, mean HSVL decreased from 97?800 HIV-1 RNA copies/mL in 2000 to 2000 copies/mL in 2010. When current HIV-1 RNA data were unavailable and the HSVL was recalculated using the last available HIV-1 RNA, HSVL decreased from 322?300 to 9900 copies/mL. HSVL was underestimated when using only current data in each interval. CONCLUSIONS: The CVL concept can be applied to a health care system, providing a measure of health care quality. Like CVL, HSVL estimates depend on definitions of the clinical population and assumptions about missing data.