Evidence map›Paper›PMID 38066587›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2024

Trajectories of Pre-exposure Prophylaxis Adherence Among Commercially Insured Individuals.

Ikenna Unigwe, Amie Goodin, Wei-Hsuan Lo-Ciganic, Robert L Cook, Haesuk Park

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Ikenna UnigwePharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Amie GoodinPharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Wei-Hsuan Lo-CiganicDivision of General Internal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-6590-4770
Robert L CookDepartment of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, Florida, USA.
Haesuk ParkPharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0003-3299-8111

Funding

Using Machine Learning to Predict Problematic Prescription Opioid Use and Opioid OverdoseR01DA044985 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Walid F. Gellad · 2017 to 2026
$5.4M
Linking VA and non-VA data to study the risk of suicide in chronic pain patients.R01MH121907 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI OSLIN, DAVID W., PATHAK, JYOTISHMAN · 2020 to 2024
$3.6M
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)R01DA050676 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LO-CIGANIC, WEI-HSUAN JENNY · 2021 to 2025
$3.2M
Social determinants of health for predicting risks of HCV infection and HCV/HIV co-infectionR01DA057886 · NIDA · UNIVERSITY OF FLORIDA · PI Haesuk Park · 2023 to 2026
$2.7M
Medicaid Prior Authorization Policies for Chronic Hepatitis C Treatment in Vulnerable PopulationsK01DA045618 · NIDA · UNIVERSITY OF FLORIDA · PI PARK, HAESUK · 2018 to 2022
$648k
Using a predicting Risky Opioid-Benzodiazepine Trajectory e-Care Tool (PROTeCT) to identify high-risk regionsR21AG060308 · NIA · UNIVERSITY OF FLORIDA · PI LO-CIGANIC, WEI-HSUAN · 2019 to 2020
$523k
Depression Treatment and Outcomes among Older Adults with Dementia in the United StatesR03MH114503 · NIMH · UNIVERSITY OF ARIZONA · PI BHATTACHARJEE, SANDIPAN · 2017 to 2018
$154k
HSRD VA I01 HX002191NIA NIH HHS R21 AG060308NIDA NIH HHS K01 DA045618NIDA NIH HHS R01 DA044985NIDA NIH HHS R01 DA050676NIDA NIH HHS R01 DA057886NIMH NIH HHS R01 MH121907NIMH NIH HHS R03 MH114503
6 · The paper itself

Abstract

We used group-based trajectory models to identify 4 distinct trajectory patterns of adherence to preexposure prophylaxis (PrEP) among 20 696 users. Only 44.5% were consistently PrEP adherent, with younger age, being female, or having substance use disorder or depression associated with early discontinuation. Public health efforts are needed to improve PrEP adherence.

Indexed as

Anti-HIV AgentsDrug MonitoringHIV InfectionsPre-Exposure ProphylaxisAdultFemaleHumansInsurance, HealthMaleMiddle AgedYoung AdultAnti-HIV Agentsadherencegroup-based trajectory modelingMarketScanpreexposure prophylaxisPrEP

Identifiers

PMID38066587
PMCPMC13370472

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.