{"doi":"10.1177/0033354920904085","title":"Evaluation of Algorithms Used for PrEP Surveillance Using a Reference Population From New York City, July 2016–June 2018","abstract":"OBJECTIVE: Daily 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. METHODS: We 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. RESULTS: Of 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%). CONCLUSIONS: Adopting the definition of PEP as ≤28 days of TDF/FTC in the CDC algorithm should improve the accuracy of national PrEP surveillance.","journal":"Public Health Reports","year":2020,"id":92716,"datarank":0.5606504427425053,"base_score":3.7376696182833684,"endowment":3.7376696182833684,"self_citation_contribution":0.5606504427425053,"citation_network_contribution":0.0,"self_endowment_contribution":0.5606504427425053,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":41,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.939,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":322495,"name":"Dawn K. Smith","orcid":"0000-0003-3401-2598","position":1,"is_corresponding":false},{"id":464619,"name":"Charles J. Gonzalez","orcid":null,"position":2,"is_corresponding":false},{"id":464620,"name":"Ya-Lin A Huang","orcid":null,"position":3,"is_corresponding":false},{"id":368853,"name":"David B. Hanna","orcid":"0000-0002-1985-9865","position":4,"is_corresponding":false},{"id":463591,"name":"Uriel R. Felsen","orcid":"0000-0002-4957-5767","position":5,"is_corresponding":false},{"id":351447,"name":"Weiming Zhu","orcid":"0000-0002-9042-6202","position":6,"is_corresponding":false},{"id":315646,"name":"Julia H. Arnsten","orcid":"0000-0002-7741-1567","position":7,"is_corresponding":false},{"id":337566,"name":"Viraj V. Patel","orcid":"0000-0002-5603-9823","position":8,"is_corresponding":false},{"id":353917,"name":"Nathan W. Furukawa","orcid":"0000-0002-4268-0556","position":0,"is_corresponding":true}],"reference_count":25,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T22:30:31.563852Z","pmid":"32027559","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}