TY - JOUR
T1 - A taxonomy of pragmatic measures of HIV preexposure prophylaxis use
AU - Pyra, Maria
AU - Rusie, Laura
AU - Castro, Michael
AU - Baker, Kristin Keglovitz
AU - McNulty, Moira
AU - Bohm, Nick
AU - Prokurat, Andrei
AU - Schneider, John
N1 - Funding Information:
J.S. was supported in part by R01 AI120700. This work was supported in part by the Third Coast Center for AIDS Research, an NIH funded center (P30 AI117943). M.M. was supported by K23 MH118969. The CDC foundation funded the DBS measurement of tenofovir-diphosphate, which was performed by the University of Colorado. The conclusions, findings, and opinions expressed by authors contributing to this article do not necessarily reflect the official position of the Centers for Disease Control and Prevention, Gilead Sciences, the University of Colorado or the authors’ affiliated institutions.
Funding Information:
M.P. designed the research question and conducted the analysis. L.R., N.B., and A.P. contributed to data collection. All authors contributed to writing and editing. J.S. was supported in part by R01 AI120700. This work was supported in part by the Third Coast Center for AIDS Research, an NIH funded center (P30 AI117943). M.M. was supported by K23 MH118969. The CDC foundation funded the DBS measurement of tenofovir-diphosphate, which was performed by the University of Colorado. The conclusions, findings, and opinions expressed by authors contributing to this article do not necessarily reflect the official position of the Centers for Disease Control and Prevention, Gilead Sciences, the University of Colorado or the authors? affiliated institutions.
Publisher Copyright:
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - 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.
AB - 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.
KW - Adherence
KW - HIV preexposure prophylaxis
KW - Persistence
KW - Retention
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U2 - 10.1097/QAD.0000000000002618
DO - 10.1097/QAD.0000000000002618
M3 - Article
C2 - 33009011
AN - SCOPUS:85092678533
SN - 0269-9370
VL - 34
SP - 1951
EP - 1957
JO - AIDS
JF - AIDS
IS - 13
ER -