Evidence map›Paper›PMID 26324110›Full record

ArticlePatient education and counseling2016

Effect of format on comprehension of adherence data in chronic disease: A cross-sectional study in HIV.

Anita Lyons, Warren B Bilker, Janet Hines, Robert Gross

Open access · greenAbstract read
In one paragraph

Article in Patient education and counseling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Anita LyonsDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, PA, United States.
Warren B BilkerDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, PA, United States.
Janet HinesDepartment of Medicine (Infectious Diseases), Perelman School of Medicine, University of Pennsylvania, PA, United States.
Robert GrossDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, PA, United States; Department of Medicine (Infectious Diseases), Perelman School of Medicine, University of Pennsylvania, PA, United States; Department of Medicine (Infectious Diseases), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, United States. Electronic address: grossr@mail.med.upenn.edu.
University of Pennsylvania · US

Funding

Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Ronald G Collman · 1999 to 2026
$78.6M
Penn Mental Health AIDS Research CenterP30MH097488 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Knashawn Hodge Morales · 2013 to 2026
$23.5M
NIAID NIH HHS P30 AI045008NIAID NIH HHS P30 AI 45008NIMH NIH HHS P30 MH097488NIMH NIH HHS P30 MH97488
6 · The paper itself

Abstract

objectiveTo determine which formats communicate medication adherence effectively to patients.

methodsHIV-infected adults on antiretrovirals viewed examples of refill data in 5 formats: (1) percentage of doses, (2) number of days late to refill ("days late"), (3) calendar of days with/without medications, (4) pie chart of days with/without medications, and (5) letter grade. Five scenarios (>95%, 90-95%, <90%, <80% and <70% adherence) were presented in each format. Participants rated scenarios on adherence improvement needed. "Good understanding" was ≥ 4 of 5 scenarios correct. We calculated odds ratios for "good understanding" using logistic regression with percentage as the referent format.

results124 participants were median age 48.5 years, 65% Black, 71% male. Understanding of all formats differed by education (all interaction p values<0.02). For ≤ 12 years education, odds ratios (OR) of understanding (95% CI) compared to percentage were: days late 3.3 (2.3-4.7), calendar 3.1 (2.2-4.3) pie chart 2.0 (1.4-2.7), and letter grade 1.8 (1.3-2.5). For >12 years education, ORs were: days late 1.3 (0.9-2.0), calendar 2.4 (1.5-3.8), pie chart 2.9 (1.8-4.6), and letter grade 1.7 (1.1-2.6). Calendar plot was most preferred.

conclusionsAdherence percentage was the least understood format regardless of education. PRACTICE IMPLICATIONS: Calendars should be used to convey adherence information.

Indexed as

CommunicationComprehensionMedication AdherencePatient Medication KnowledgeAdultAnti-HIV AgentsCross-Sectional StudiesEducational StatusFemaleHIV InfectionsHumansLogistic ModelsMaleMiddle AgedPatient Education as TopicAnti-HIV AgentsHealth communicationHealth numeracyHIV/AIDSMedication adherencePatient preferences

Identifiers

PMID26324110
PMCPMC4691371
OpenAlexW1112085993

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.