Evidence map›Paper›PMID 31758349›Full record

ArticleAIDS and behavior2020

Moving Antiretroviral Adherence Assessments to the Modern Era: Correlations Among Three Novel Measures of Adherence.

Parya Saberi, Deepalika Chakravarty, Kristin Ming, Dominique Legnitto, Monica Gandhi, Mallory O Johnson, Torsten B Neilands

Open access · greenAbstract read
In one paragraph

Article in AIDS and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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 1 institution in 1 country.

Parya SaberiDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA. parya.saberi@ucsf.edu.ORCID http://orcid.org/0000-0002-3793-5112
Deepalika ChakravartyDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Kristin MingDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Dominique LegnittoDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Monica GandhiDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Mallory O JohnsonDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Torsten B NeilandsDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
University of California, San Francisco · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 1988 to 2026
$93.6M
Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 2001 to 2026
$57.4M
Plugging Hair ARV Levels as Adherence Biomarkers into HIV Prevention TrialsR01AI098472 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANDHI, MONICA · 2012 to 2021
$5.6M
“Hair Lengthening”: Using Hair Levels to Interpret Long-Acting PrEP Studies.R37AI098472 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Monica Gandhi · 2023 to 2026
$3.2M
Mentoring and Empowerment in the Context of HIV Care for At-Risk PopulationsK24DA037034 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSON, MALLORY O · 2014 to 2018
$918k
Technology-based adaptive treatment strategies for antiretroviral adherenceK23MH097649 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SABERI, PARYA · 2012 to 2016
$890k
Rx Pix: A Novel Way to Assess Antiretroviral Adherence with Pharmacy Refill DatesR21MH108414 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SABERI, PARYA · 2016 to 2017
$436k
Objective measures of adherence for later-stage ART failure in resource limited settingsR03AI152773 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANDHI, MONICA · 2020 to 2021
$161k
NIAID NIH HHS P30 AI027763NIAID NIH HHS R01 AI098472NIAID NIH HHS R37 AI098472NIDA NIH HHS K24 DA037034NIMH NIH HHS K23 MH097649NIMH NIH HHS K23MH097649NIMH NIH HHS K24DA037034NIMH NIH HHS P30 MH062246NIMH NIH HHS R21 MH108414NIMH NIH HHS R21MH108414
6 · The paper itself

Abstract

There is no gold standard for estimating antiretroviral therapy (ART) adherence. Feasible, acceptable, and objective measures that are cost- and time-effective are needed. US adults (N = 93) on ART for ≥ 3 months, having access to a mobile phone and internet, and willing to mail in self-collected hair samples, were recruited into a pilot study of remote adherence data collection methods. We examined the correlation of self-reported adherence and three objective remotely collected adherence measures: text-messaged photographs of pharmacy refill dates for pharmacy-refill-based adherence, text-messaged photographs of pills for pill-count-based adherence, and assays of home-collected hair samples for pharmacologic-based adherence. All measures were positively correlated. The strongest correlation was between pill-count- and pharmacy-refill-based adherence (r = 0.68; p < 0.001), and the weakest correlation was between self-reported adherence and hair drug concentrations (r = 0.14, p = 0.34). The three measures provide objective adherence data, are easy to collect, and are viable candidates for future HIV treatment and prevention research.

Indexed as

Drug MonitoringAdolescentAdultAnti-HIV AgentsDrug PrescriptionsFemaleHairHIV InfectionsHumansMaleMiddle AgedPilot ProjectsPredictive Value of TestsAnti-HIV AgentsAdherenceHair drug concentrationsHIV treatmentPharmacy refill datePill countText message

Identifiers

PMID31758349
PMCPMC6996539
OpenAlexW2990400517

What OpenQuestion holds

Textmetadata
LicenceTDM
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.