Evidence map›Paper›PMID 29950816›Full record

ArticlePatient preference and adherence2018

Novel methods to estimate antiretroviral adherence: protocol for a longitudinal study.

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

Abstract read
In one paragraph

Article in Patient preference and adherence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

6 authors.

Parya SaberiDepartment 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.
Torsten B NeilandsDepartment 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.

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 1988 to 2026
$93.6M
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
NIAID NIH HHS P30 AI027763NIAID NIH HHS R37 AI098472NIDA NIH HHS K24 DA037034NIMH NIH HHS K23 MH097649NIMH NIH HHS R21 MH108414
6 · The paper itself

Abstract

backgroundThere is currently no gold standard for assessing antiretroviral (ARV) adherence, so researchers often resort to the most feasible and cost-effective methods possible (eg, self-report), which may be biased or inaccurate. The goal of our study was to evaluate the feasibility and acceptability of innovative and remote methods to estimate ARV adherence, which can potentially be conducted with less time and financial resources in a wide range of clinic and research settings. Here, we describe the research protocol for studying these novel methods and some lessons learned.

methodsThe 6-month pilot study aimed to examine the feasibility and acceptability of a remotely conducted study to evaluate the correlation between: 1) text-messaged photographs of pharmacy refill dates for refill-based adherence; 2) text-messaged photographs of pills for pill count-based adherence; and 3) home-collected hair sample measures of ARV concentration for pharmacologic-based adherence. Participants were sent monthly automated text messages to collect refill dates and pill counts that were taken and sent via mobile telephone photographs, and hair collection kits every 2 months by mail. At the study end, feasibility was calculated by specific metrics, such as the receipt of hair samples and responses to text messages. Participants completed a quantitative survey and qualitative exit interviews to examine the acceptability of these adherence evaluation methods. The relationship between the 3 novel metrics of adherence and self-reported adherence will be assessed. DISCUSSION: Investigators conducting adherence research are often limited to using either self-reported adherence, which is subjective, biased, and often overestimated, or other more complex methods. Here, we describe the protocol for evaluating the feasibility and acceptability of 3 novel and remote methods of estimating adherence, with the aim of evaluating the relationships between them. Additionally, we note the lessons learned from the protocol implementation to date. We expect that these novel measures will be feasible and acceptable. The implications of this research will be the identification and evaluation of innovative and accurate metrics of ARV adherence for future implementation.

Indexed as

adherence assessmentantiretroviral therapyhair measuresHIVpharmacy refillspill countsPrEPremote studytext message

Identifiers

PMID29950816
PMCPMC6014386

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.