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PrEP Data Launch Webinar. March 8, 2018. Agenda. Welcome AIDSVu Data Overview Key insights Launch Activities. AIDSVu. About AIDSVu. Partnership since 2010 between Gilead Sciences & Emory University’s Rollins School of Public Health
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PrEP Data Launch Webinar March 8, 2018
Agenda • Welcome • AIDSVu • Data Overview • Key insights • Launch Activities
About AIDSVu Partnership since 2010 between Gilead Sciences & Emory University’s Rollins School of Public Health Mission to make HIV data widely available, easily accessible & locally relevant to inform public health decision making Interactive online mapping tool to visualize the U.S. HIV epidemic at state-, county- & ZIP code-level
Understanding HIV Where You Live • Interactive maps displaying latest CDC data on HIV prevalence, new diagnoses & mortality • County-level for 48 states • ZIP code-level for 41 cities, which collectively represent over 60% of U.S. HIV epidemic
PrEP Data Launch • This week, AIDSVu released the first-ever state-level data and interactive maps of PrEP users and rate of PrEP use (”PrEP Prevalence”) • Dataset developed from proprietary national database of pharmacy data
PrEP Data Available • State-level maps and datasets available, including: • PrEP users and Rate of PrEP use (“PrEP Prevalence”) • Yearly data 2012 to 2016 • Overall, by sex, and by age • Available alongside social determinants of health
Data Source First of its kind data release agreement: Obtained from Source Healthcare Analytics, LLC with the support of Gilead Sciences, Inc., and compiled by researchers at the Rollins School of Public Health at Emory University • Open sample of commercially available data from over 54,000 pharmacies, 1,500 hospitals, 800 outpatient facilities, and 80,000 physician practices across the U.S., which excludes entities that do not make their data available, such as closed healthcare systems and entities that choose not to share their data with SHA • Dataset contains prescription, medical, and hospital claims data for all payment types, including commercial plans, Medicare Part D, cash, assistance programs, and Medicaid • Data are de-identified and linked to confirmatory data from a de-identified medical insurance claims database • Validated algorithm excludes use for HIV treatment, post-exposure prophylaxis, and off-label treatment of chronic Hepatitis B
PrEP Users by State, 2012 to 2016 Number of Persons Using PrEP by State, 2012 & 2016
Overall PrEP Use, 2016 Number of Persons Using PrEP by State, 2016 Rate of PrEP Use by State, 2016
PrEP Users by Age, 2014 Number of Persons aged 24 or under Using PrEP, 2014 Number of Persons aged 25-34 Using PrEP, 2014
PrEP Users by Sex, 2014 Number of Males Using PrEP, 2014 Number of Females Using PrEP, 2014
PrEP Users & Data Comparisons Percent of Population Living in Poverty, 2015 Number of Persons Using PrEP by State, 2015
KeyRedesign Updated Print Function & Downloadable Data
Other Publicly Shared Data • AIDSVu: • PrEP Users or Rate of PrEP Use (“PrEP Prevalence”) • The number of unique persons who had at least one day of prescribed oral TDF/FTC for PrEP in a year from 2012 to 2016. Minimum duration of 30 days was required for an individual to be considered a PrEP user. • Other data sources: • PrEP Starts: Cumulative number of unique persons who have started TDF/FTC for PrEP since 2012 • Total PrEP Users: Estimated total number of unique persons using PrEP across the U.S. at a given point in time
Data Limitations Data are not available from closed healthcare systems and those that choose not to share their data with SHA Not all prescriptions are included resulting in under-estimates Data are derived from prescriptions to unique people; those who fill a prescription may not use it The overall total population may be fewer than the sum of age group total population for a given year PrEP data are not available for race/ethnicity
Overall PrEP Users The number of PrEP users has increased by 880% since 2012, an average 73 percent increase year over year from 2012 to 2016 In 2016, there were 77,120 (28.2 per 100,000 people) PrEP users in the U.S., up from 8,768 (3.3 per 100,000 people) in 2012
PrEP by Sex PrEP use among males has increased at a much faster rate than among females 93 percent of all PrEP users in 2016 were male (71,977) Number of male PrEP users increased 95% year over year since 2012 The rate of PrEP use was more than 14x higher for men (53.9 per 100,000) than women (3.7 per 100,000) in 2016
PrEP by Age Of all age groups, 25 to 44 year olds have the highest rates of PrEP use The rate of PrEP use among 25 to 34 year olds increased year over year by nearly 80% from 2012 to 2016, followed by 78% among 35- to 44- year olds
PrEP by Region The South has the highest number of new HIV diagnoses in the U.S. but has disproportionately fewer people using PrEP The Southern U.S. accounted for only 30 percent (23,091) of all PrEP users in 2016. The region represented more than half (52 percent) of all new HIV diagnoses in 2016.
Deeper Look: PrEP Comprehensive PrEP Resource Page • Maps and Service Locator • Infographics & Video • Why it Matters for Key Audiences • Guest Blogs • Damon Jacobs, PrEP Facts • Joanne Stekler, University of Washington • Aaron Siegler, Emory University • Charlene Flash, Baylor College of Medicine • External Resources
PrEP Locator • National directory of HIV PrEP Providers in the US • Presented by Emory University, in partnership with M•A•C AIDS Fund • Overlay PrEP providers with AIDSVu maps
PrEP Data Sets • Downloadable PrEP datasets at the state- and ZIP3-level for researchers and health departments to utilize in their own analyses • ZIP3 refers to the three digit ZIP code prefix assigned by the U.S. Postal Service ZIP3 boundary example for Georgia
Further PrEP Work How can we help you use the PrEP data and maps? • 2017 data & maps • County-level data & maps • Manuscripts (Annals of Epidemiology) • Improving awareness of data availability
How to Share • Download toolkitAIDSVu.org/PrEPToolkit2018 • Share with your networks • PrEP maps • Infographics & Video • Deeper Look
Thank You info@AIDSVu.org Facebook/AIDSVu @AIDSVu