Evidence map›Paper›PMID 30626550›Full record

ArticlePatient education and counseling2019

Patient and clinician perspectives on optimizing graphical displays of longitudinal medication adherence data.

Allison P Pack, Carol E Golin, Lauren M Hill, Jessica Carda-Auten, Deshira D Wallace, Sruthi Cherkur, Claire E Farel, Elias P Rosen, Monica Gandhi, Heather M Asher Prince and 1 more

Abstract read
In one paragraph

Article in Patient education and counseling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Community engagement in the development of health-related data visualizations: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024
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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

11 authors.

Allison P PackGillings School of Global Public Health, University of North Carolina at Chapel Hill, United States. Electronic address: apack15@email.unc.edu.
Carol E GolinGillings School of Global Public Health, University of North Carolina at Chapel Hill, United States; School of Medicine, University of North Carolina at Chapel Hill, United States; Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, United States.
Lauren M HillGillings School of Global Public Health, University of North Carolina at Chapel Hill, United States; Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, United States.
Jessica Carda-AutenGillings School of Global Public Health, University of North Carolina at Chapel Hill, United States.
Deshira D WallaceGillings School of Global Public Health, University of North Carolina at Chapel Hill, United States.
Sruthi CherkurGillings School of Global Public Health, University of North Carolina at Chapel Hill, United States.
Claire E FarelSchool of Medicine, University of North Carolina at Chapel Hill, United States.
Elias P RosenEshelman School of Pharmacy, University of North Carolina at Chapel Hill, United States.
Monica GandhiSchool of Medicine, University of California, San Francisco, United States.
Heather M Asher PrinceSchool of Medicine, University of North Carolina at Chapel Hill, United States.
Angela D M KashubaEshelman School of Pharmacy, University of North Carolina at Chapel Hill, United States.

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
UNC-CH TRAINING PROGRAM IN HEALTH SERVICES RESEARCHT32HS000032 · AHRQ · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HOLMES, GEORGE M · 1989 to 2024
$8.2M
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
Novel Mass Spectrometry Imaging Methods to Quantify Antiretroviral AdherenceR01AI122319 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KASHUBA, ANGELA D, ROSEN, ELIAS · 2016 to 2021
$5.3M
“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 Junior Investigators: Comprehensive HIV PreventionK24HD069204 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GOLIN, CAROL E · 2013 to 2017
$789k
AHRQ HHS T32 HS000032NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI098472NIAID NIH HHS R01 AI122319NIAID NIH HHS R37 AI098472NICHD NIH HHS K24 HD069204
6 · The paper itself

Abstract

objectiveNew pharmacological measures assessing medication adherence, including longitudinal drug levels in hair, are emerging. Little is known, however, about how best to present results from such measures to patients and clinicians in comprehensive, easy-to-understand, acceptable formats. We, therefore, developed three graphical display prototypes of hypothetical daily drug concentrations measured in hair, and assessed their acceptability among participants.

methodsWe interviewed 30 HIV-positive patients and 29 clinicians to examine perceived acceptability for each graphical display prototype.

resultsPatients and clinicians generally found the prototypes acceptable for facilitating understanding of patient adherence; however, areas for optimization were identified. For patients with lower health literacy, prototypes did not provide sufficient understanding of the link between medication-taking and drug concentrations in hair. These patients also preferred pictographs over bar or line graphs. Clinicians largely preferred daily drug concentration data in bar graphs with information included about the measure's accuracy. Participants questioned the utility of showing drug concentrations above a therapeutic range, though they found color-coding results acceptable.

conclusionsAssessing prototype versions of graphical displays of hypothetical longitudinal adherence data indicated ways to optimize their acceptability. PRACTICE IMPLICATIONS: Acceptable prototype-tested graphical displays of longitudinal patient-specific drug concentrations may enhance adherence monitoring in clinical settings.

Indexed as

Audiovisual AidsData DisplayDrug MonitoringPatient Education as TopicAdultAnti-HIV AgentsCross-Sectional StudiesDecision MakingFemaleHairHealth LiteracyHIV InfectionsHumansMaleAnti-HIV AgentsData visualizationHealth communicationMedication adherence

Identifiers

PMID30626550
PMCPMC6525638

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.