OBJECTIVES: As delivery of preexposure prophylaxis (PrEP) becomes an HIV prevention priority in the United States, standard, pragmatic measures of PrEP use are needed to compare and evaluate prevention implementation programs. By using readily available electronic health record data, we describe and compare measures of persistence and retention. DESIGN: Retrospective cohort. METHODS: Using electronic health record prescription data for patients at a large urban Federally Qualified Health Center from 2015 to 2019, we calculated measures of persistence and retention and compared them to pharmacy claims data, PrEP biomarkers, and HIV outcomes. RESULTS: Total PrEP time was 19.8 months on average. During this period, average adherence by medication prescription ratio (MRxR) was 89%; 77% of patients had an MRxR at least 85% and 90% have an MRxR at least 57%. Over the first 6 months, average proportion of days covered (PDC) at least 85% was 53% and PDC at least 57% was 57%. Prescription fill rates, based on claims data from a pharmacy partner, ranged from 45 to 60%. Using tenofovir-diphosphate as the gold standard, PDC had high sensitivity (97%) but low specificity (≤13%). As a measure of retention, over the first 6 months, 59% of patients had quarterly HIV tests. CONCLUSION: Total PrEP time is useful measure of overall persistence, while PDC can assess persistence and adherence at a specific time point. Adherence by PDC is more conservative compared with MRxR; both will overestimate true adherence. Retention in care can be measured by quarterly HIV tests. Using consistent terminology and reporting timepoints and adherence thresholds will help reporting and comparing PrEP delivery programs.
OBJECTIVES: As delivery of preexposure prophylaxis (PrEP) becomes an HIV prevention priority in the United States, standard, pragmatic measures of PrEP use are needed to compare and evaluate prevention implementation programs. By using readily available electronic health record data, we describe and compare measures of persistence and retention. DESIGN: Retrospective cohort. METHODS: Using electronic health record prescription data for patients at a large urban Federally Qualified Health Center from 2015 to 2019, we calculated measures of persistence and retention and compared them to pharmacy claims data, PrEP biomarkers, and HIV outcomes. RESULTS: Total PrEP time was 19.8 months on average. During this period, average adherence by medication prescription ratio (MRxR) was 89%; 77% of patients had an MRxR at least 85% and 90% have an MRxR at least 57%. Over the first 6 months, average proportion of days covered (PDC) at least 85% was 53% and PDC at least 57% was 57%. Prescription fill rates, based on claims data from a pharmacy partner, ranged from 45 to 60%. Using tenofovir-diphosphate as the gold standard, PDC had high sensitivity (97%) but low specificity (≤13%). As a measure of retention, over the first 6 months, 59% of patients had quarterly HIV tests. CONCLUSION: Total PrEP time is useful measure of overall persistence, while PDC can assess persistence and adherence at a specific time point. Adherence by PDC is more conservative compared with MRxR; both will overestimate true adherence. Retention in care can be measured by quarterly HIV tests. Using consistent terminology and reporting timepoints and adherence thresholds will help reporting and comparing PrEP delivery programs.
Authors: Julia L Marcus; Leo B Hurley; Charles Bradley Hare; Dong Phuong Nguyen; Tony Phengrasamy; Michael J Silverberg; Juliet E Stoltey; Jonathan E Volk Journal: J Acquir Immune Defic Syndr Date: 2016-12-15 Impact factor: 3.731
Authors: Aaron J Siegler; Farah Mouhanna; Robertino Mera Giler; Kevin Weiss; Elizabeth Pembleton; Jodie Guest; Jeb Jones; Amanda Castel; Howa Yeung; Michael Kramer; Scott McCallister; Patrick S Sullivan Journal: Ann Epidemiol Date: 2018-06-15 Impact factor: 3.797
Authors: Jason Zucker; Caroline Carnevale; Paul Richards; Jacek Slowikowski; Alexander Borsa; Felix Gottlieb; Isabella Vakkur; Christel Hyden; Susan Olender; Alwyn Cohall; Peter Gordon; Magdalena E Sobieszczyk Journal: J Acquir Immune Defic Syndr Date: 2019-08-01 Impact factor: 3.731
Authors: Marsha A Raebel; Julie Schmittdiel; Andrew J Karter; Jennifer L Konieczny; John F Steiner Journal: Med Care Date: 2013-08 Impact factor: 2.983
Authors: Joyce A Cramer; Anuja Roy; Anita Burrell; Carol J Fairchild; Mahesh J Fuldeore; Daniel A Ollendorf; Peter K Wong Journal: Value Health Date: 2008 Jan-Feb Impact factor: 5.725
Authors: Matthew A Spinelli; Hyman M Scott; Eric Vittinghoff; Albert Y Liu; Alicia Morehead-Gee; Rafael Gonzalez; Susan P Buchbinder Journal: Open Forum Infect Dis Date: 2018-05-04 Impact factor: 3.835
Authors: Douglas Krakower; Kevin M Maloney; Victoria E Powell; Ken Levine; Chris Grasso; Kathy Melbourne; Julia L Marcus; Kenneth H Mayer Journal: J Int AIDS Soc Date: 2019-02 Impact factor: 5.396
Authors: Madeline C Montgomery; Catherine E Oldenburg; Amy S Nunn; Leandro Mena; Peter Anderson; Teri Liegler; Kenneth H Mayer; Rupa Patel; Alexi Almonte; Philip A Chan Journal: PLoS One Date: 2016-06-22 Impact factor: 3.240
Authors: Maria Pyra; Russell Brewer; Laura Rusie; Jeanelle Kline; India Willis; John Schneider Journal: J Acquir Immune Defic Syndr Date: 2022-02-01 Impact factor: 3.771
Authors: William C Goedel; Cassandra Sutten Coats; Philip A Chan; Courtney E Sims-Gomillia; James B Brock; Lori M Ward; Leandro A Mena; Amy S Nunn Journal: J Acquir Immune Defic Syndr Date: 2022-07-01 Impact factor: 3.771
Authors: Lorraine T Dean; Hsien-Yen Chang; William C Goedel; Philip A Chan; Jalpa A Doshi; Amy S Nunn Journal: AIDS Date: 2021-11-15 Impact factor: 4.177
Authors: Maria Pyra; Amy K Johnson; Samantha Devlin; A Ziggy Uvin; Shemeka Irby; Eric Stewart; Cori Blum; Maya Green; Sadia Haider; Lisa R Hirschhorn; Jessica P Ridgway Journal: J Racial Ethn Health Disparities Date: 2021-03-17
Authors: Tiara C Willie; Mauda Monger; Amy Nunn; Trace Kershaw; Jamila K Stockman; Kenneth H Mayer; Philip A Chan; Adaora A Adimora; Leandro A Mena; Deja Knight; Karlye A Philllips; Stefan D Baral Journal: BMC Infect Dis Date: 2021-10-26 Impact factor: 3.090