Evidence map›Paper›PMID 35216610›Full record

ArticleAIDS research and therapy2022

The systematic development of attributes and levels for a discrete choice experiment of HIV patient preferences for long-acting antiretroviral therapies in the United States.

Aaron T Brah, Douglas Barthold, Brett Hauber, Ann C Collier, Rodney J Y Ho, Vincent C Marconi, Jane M Simoni, Susan M Graham

Open access · goldAbstract read
In one paragraph

Article in AIDS research and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 8 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

8 authors at 3 institutions in 1 country.

Aaron T BrahDivision of Allergy & Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA. atbrah@uw.edu.ORCID 0000-0001-8771-7159
Douglas BartholdThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, WA, USA.
Brett HauberThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, WA, USA.
Ann C CollierDivision of Allergy & Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA.
Rodney J Y HoDepartment of Pharmaceutics and Bioengineering, University of Washington, Seattle, WA, USA.
Vincent C MarconiDivision of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Jane M SimoniDepartment of Psychology, University of Washington, Seattle, WA, USA.
Susan M GrahamDivision of Allergy & Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA.
University of Washington · USEmory University · USPfizer (United States) · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Ann M Chahroudi, Colleen F Kelley · 2002 to 2026
$74.0M
Targeted Long-acting Combination Antiretroviral Therapy (TLC-ART)UM1AI120176 · NIAID · UNIVERSITY OF WASHINGTON · PI COLLIER, ANN CORNWALL, HO, RODNEY J.Y. · 2015 to 2019
$15.0M
University of Washington Developmental AIDS Research Center for Mental Health (UW ARCH)P30MH123248 · NIMH · UNIVERSITY OF WASHINGTON · PI SIMONI, JANE M. · 2021 to 2024
$5.8M
Acceptability of Sustained-Release Antiretrovirals for Treatment in the US and sub-Saharan AfricaR01MH121424 · NIMH · UNIVERSITY OF WASHINGTON · PI GRAHAM, SUSAN MARIE · 2019 to 2023
$2.4M
NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI050409NIAID NIH HHS UM1 AI120176NIMH NIH HHS P30 MH123248NIMH NIH HHS R01 MH121424
6 · The paper itself

Abstract

introductionPatient preferences for long-acting antiretroviral therapies (LA-ART) should inform development of regimens with optimal adherence and acceptability. We describe a systematic process used to identify attributes and levels for a discrete choice experiment (DCE) designed to elicit preferences for potential LA-ART options in the US.

methodsOur approach was conducted in four stages: data collection, data reduction, removing inappropriate attributes, and optimizing wording. We started with 8 attributes defining potential LA-ART products based on existing literature and knowledge of products in development. We conducted 12 key informant interviews with experts in HIV treatment. The list of attributes, the set of plausible levels for each attribute, and restrictions on combinations of attribute levels were updated iteratively.

resultsDespite uncertainty about which products will become available, key informant discussions converged on 4 delivery modes (infusions and patches were not considered immediately feasible) and 6 additional attributes. Treatment effectiveness and frequency of clinical monitoring were dropped. Oral lead-in therapy was split into two attributes: pre-treatment time undetectable and pre-treatment negative reaction testing. We omitted product-specific systemic and local side effects. In addition to mode, the final set of attributes included: frequency of dosing; location of treatment; pain; pre-treatment time undetectable; pre-treatment negative reaction testing; and late-dose leeway.

conclusionsA systematic process successfully captured elements that are both feasible and relevant to evaluating the acceptability of potential LA-ART alternatives to patients.

Indexed as

HIV InfectionsPatient PreferenceChoice BehaviorHumansUnited States

Identifiers

PMID35216610
PMCPMC8881811
OpenAlexW4221126850

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.