Evidence map›Paper›PMID 32027559›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Evaluation of Algorithms Used for PrEP Surveillance Using a Reference Population From New York City, July 2016-June 2018.

Nathan W Furukawa, Dawn K Smith, Charles J Gonzalez, Ya-Lin A Huang, David B Hanna, Uriel R Felsen, Weiming Zhu, Julia H Arnsten, Viraj V Patel

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.4field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Trends in Persons Prescribed HIV Postexposure Prophylaxis in the United States, 2015-2023.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  3. Development and Evaluation of a Novel Algorithm to Identify Doxycycline Postexposure Prophylaxis Users at a Large Healthcare System in the Bronx, New York.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Nathan W FurukawaDivision of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0002-4268-0556
Dawn K SmithDivision of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Charles J GonzalezAIDS Institute, New York State Department of Health, Albany, NY, USA.
Ya-Lin A HuangDivision of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
David B HannaDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Uriel R FelsenDivision of Infectious Diseases, Department of Medicine, Montefiore Health System/Albert Einstein College of Medicine, Bronx, NY, USA.
Weiming ZhuDivision of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Julia H ArnstenDivision of General Internal Medicine, Department of Medicine, Montefiore Health System/Albert Einstein College of Medicine, Bronx, NY, USA.
Viraj V PatelDivision of General Internal Medicine, Department of Medicine, Montefiore Health System/Albert Einstein College of Medicine, Bronx, NY, USA.
Albert Einstein College of Medicine · USCenters for Disease Control and Prevention · USNew York State Department of Health · US

Funding

Patient and Population Health Outcomes Research SWGP30AI124414 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Vilma Gabbay · 2017 to 2026
$28.3M
Social Media Based Peer Led Intervention to Facilitate PrEP in YMSM of ColorK23MH102118 · NIMH · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI PATEL, VIRAJ V · 2014 to 2018
$953k
TestED!: Applying Implementation Science to improve an HIV testing strategy for Emergency DepartmentsK23MH106386 · NIMH · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI FELSEN, URIEL · 2015 to 2019
$920k
Prediction of heart failure in HIV-infected individualsK01HL137557 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI HANNA, DAVID B. · 2017 to 2020
$711k
NIAID NIH HHS P30 AI124414NIMH NIH HHS K23 MH102118NIMH NIH HHS K23 MH106386NIMH NIH HHS L30 MH117751
6 · The paper itself

Abstract

objectiveDaily tenofovir disoproxil fumarate/emtricitabine (TDF/FTC) use as HIV preexposure prophylaxis (PrEP) is monitored by identifying TDF/FTC prescriptions from pharmacy databases and applying diagnosis codes and antiretroviral data to algorithms that exclude TDF/FTC prescribed for HIV postexposure prophylaxis (PEP), HIV treatment, and hepatitis B virus (HBV) treatment. We evaluated the accuracy of 3 algorithms used by the Centers for Disease Control and Prevention (CDC), Gilead Sciences, and the New York State Department of Health (NYSDOH) using a reference population in Bronx, New York.

methodsWe extracted diagnosis codes and data on all antiretroviral prescriptions other than TDF/FTC from an electronic health record database for persons aged ≥16 prescribed TDF/FTC during July 2016-June 2018 at Montefiore Medical Center. We reviewed medical records to classify the true indication of first TDF/FTC use as PrEP, PEP, HIV treatment, or HBV treatment. We applied each algorithm to the reference population and compared the results with the medical record review.

resultsOf 2862 patients included in the analysis, 694 used PrEP, 748 used PEP, 1407 received HIV treatment, and 13 received HBV treatment. The algorithms had high specificity (range: 98.4%-99.0%), but the sensitivity of the CDC algorithm using a PEP definition of TDF/FTC prescriptions ≤30 days was lower (80.3%) than the sensitivity of the algorithms developed by Gilead Sciences (94.7%) or NYSDOH (96.1%). Defining PEP as TDF/FTC prescriptions ≤28 days improved CDC algorithm performance (sensitivity, 95.8%; specificity, 98.8%).

conclusionsAdopting the definition of PEP as ≤28 days of TDF/FTC in the CDC algorithm should improve the accuracy of national PrEP surveillance.

Indexed as

AlgorithmsAdolescentAdultAgedAnti-HIV AgentsElectronic Health RecordsEmtricitabineFemaleHepatitis BHIV InfectionsHumansMaleMiddle AgedNew York CityPost-Exposure ProphylaxisPre-Exposure ProphylaxisAnti-HIV AgentsEmtricitabineTenofoviralgorithmHIVNew Yorkpreexposure prophylaxissurveillancevalidation

Identifiers

PMID32027559
PMCPMC7036610
OpenAlexW3004451911

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.