Evidence map›Paper›PMID 34436609›Full record

ArticleJAMA network open2021

Characterization of HIV Preexposure Prophylaxis Use Behaviors and HIV Incidence Among US Adults in an Integrated Health Care System.

J Carlo Hojilla, Leo B Hurley, Julia L Marcus, Michael J Silverberg, Jacek Skarbinski, Derek D Satre, Jonathan E Volk

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07379658 (Improving HIV Prevention Outcomes), which is not on this map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% 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.

NCT07379658 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Improving HIV Prevention Outcomes: Insights on Long-Acting Injectable (LAI) HIV Pre-Exposure Prophylaxis (PrEP) Patient-Reported Medication Preferences, Adherence, and Clinical Outcomes (IMPACT) in a Southern US State

TypeobservationalSponsorAnupama Raghuram MDRan2026 to 2028Enrolled128ConditionsHIV Pre-exposure ProphylaxisArmsInterview and survey to evaluate patient reported outcomes between the two medications.
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

J Carlo HojillaDivision of Research, Kaiser Permanente Northern California, Oakland.
Leo B HurleyDivision of Research, Kaiser Permanente Northern California, Oakland.
Julia L MarcusDepartment of Population Medicine, Harvard Medical School, Boston, Massachusetts.
Michael J SilverbergDivision of Research, Kaiser Permanente Northern California, Oakland.
Jacek SkarbinskiDivision of Research, Kaiser Permanente Northern California, Oakland.
Derek D SatreDivision of Research, Kaiser Permanente Northern California, Oakland.
Jonathan E VolkDepartment of Adult and Family Medicine, Kaiser Permanente San Francisco Medical Center, San Francisco, California.
Kaiser Permanente · USHarvard Pilgrim Health Care · USKaiser Permanente San Francisco Medical Center · US

Funding

Substance Use Disorders Treatment/Services Research Training ProgramT32DA007250 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre, Janice Y Tsoh · 1991 to 2026
$7.4M
Mentoring alcohol use intervention research in HIV health care settingsK24AA025703 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre · 2018 to 2026
$1.8M
Optimizing Care for HIV/HCV-Coinfected Patients in the New HCV Treatment EraK01AI122853 · NIAID · KAISER FOUNDATION RESEARCH INSTITUTE · PI MARCUS, JULIA L. · 2016 to 2020
$655k
NIAAA NIH HHS K24 AA025703NIAID NIH HHS K01 AI122853NIDA NIH HHS T32 DA007250
6 · The paper itself

Abstract

Importance: Long-term follow-up is needed to evaluate gaps in HIV preexposure prophylaxis (PrEP) care delivery and to identify individuals at risk for falling out of care. Objective: To characterize the PrEP continuum of care, including prescription, initiation, discontinuation, and reinitiation, and evaluate incident HIV infections. Design, Setting, and Participants: This retrospective cohort study used data from the electronic health records (EHR) at Kaiser Permanente Northern California to identify individuals aged 18 years and older who received PrEP care between July 2012 and March 2019. Individuals were followed up from date of linkage (defined as a PrEP referral or PrEP-coded encounter) until March 2019, HIV diagnosis, discontinuation of health plan membership, or death. Data were analyzed from December 2019 to January 2021. Exposures: Sociodemographic factors included age, sex, race and ethnicity, and neighborhood deprivation index, and clinical characteristics were extracted from the EHR. Main Outcomes and Measures: The primary outcomes were attrition at each step of the PrEP continuum of care and incident HIV infections. Results: Among 13 906 individuals linked to PrEP care, the median (interquartile range [IQR]) age was 33 (27-43) years, 6771 individuals (48.7%) were White, and 13 227 (95.1%) were men. Total follow-up was 26 210 person-years (median [IQR], 1.6 [0.7-2.8] years). Of individuals linked to PrEP care, 88.1% (95% CI, 86.1%-89.9%) were prescribed PrEP and of these, 98.2% (95% CI, 97.2%-98.8%) initiated PrEP. After PrEP initiation, 52.2% (95% CI, 48.9%-55.7%) discontinued PrEP at least once during the study period, and 60.2% (95% CI, 52.2%-68.3%) of these individuals subsequently reinitiated. Compared with individuals aged 18 to 25 years, older individuals were more likely to receive a PrEP prescription (eg, age >45 years: hazard ratio [HR], 1.21 [95% CI, 1.14-1.29]) and initiate PrEP (eg, age >45 years: HR, 1.09 [95% CI, 1.02-1.16]) and less likely to discontinue (eg, age >45 years: HR, 0.46 [95% CI, 0.42-0.52]). Compared with White patients, African American and Latinx individuals were less likely to receive a PrEP prescription (African American: HR, 0.74 [95% CI, 0.69-0.81]; Latinx: HR, 0.88 [95% CI, 0.84-0.93]) and initiate PrEP (African American: HR, 0.87 [95% CI, 0.80-0.95]; Latinx: HR, 0.90 [95% CI, 0.86-0.95]) and more likely to discontinue (African American: HR, 1.36 [95% CI, 1.17-1.57]; Latinx: 1.33 [95% CI, 1.22-1.46]). Similarly, women, individuals with lower neighborhood-level socioeconomic status (SES), and persons with a substance use disorder (SUD) were less likely to be prescribed (women: HR, 0.56 [95% CI, 0.50-0.62]; lowest SES: HR, 0.72 [95% CI, 0.68-0.76]; SUD: HR, 0.88 [95% CI, 0.82-0.94]) and initiate PrEP (women: HR, 0.71 [95% CI, 0.64-0.80]; lower SES: HR, 0.93 [95% CI, 0.87-.0.99]; SUD: HR, 0.88 [95% CI, 0.81-0.95]) and more likely to discontinue (women: HR, 1.99 [95% CI, 1.67-2.38]); lower SES: HR, 1.40 [95% CI, 1.26-1.57]; SUD: HR, 1.23 [95% CI, 1.09-1.39]). HIV incidence was highest among individuals who discontinued PrEP and did not reinitiate PrEP (1.28 [95% CI, 0.93-1.76] infections per 100 person-years). Conclusions and Relevance: These findings suggest that gaps in the PrEP care continuum were concentrated in populations disproportionately impacted by HIV, including African American individuals, Latinx individuals, young adults (aged 18-25 years), and individuals with SUD. Comprehensive strategies to improve PrEP continuum outcomes are needed to maximize PrEP impact and equity.

Indexed as

Drug MonitoringAdolescentAdultCaliforniaCohort StudiesDelivery of Health Care, IntegratedFemaleFollow-Up StudiesHIV InfectionsHumansIncidenceMaleMiddle AgedPre-Exposure ProphylaxisRetrospective StudiesSociodemographic Factors

Identifiers

PMID34436609
PMCPMC8391097
OpenAlexW3194679235

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.