Evidence map›Paper›PMID 27382421›Full record

ArticlePharmacy practice

Redesigning pictographs for patients with low health literacy and establishing preliminary steps for delivery via smart phones.

Seth E Wolpin, Juliet K Nguyen, Jason J Parks, Annie Y Lam, Donald E Morisky, Lara Fernando, Adeline Chu, Donna L Berry

Abstract read
In one paragraph

Article in Pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Seth E WolpinClinical Associate Professor, Department of Biobehavorial Nursing and Health Systems, School of Nursing University of Washington . Seattle, WA ( United States ). swolpin@uw.edu.ORCID 0000-0002-6385-2310
Juliet K NguyenProject Director, Department of Biobehavorial Nursing and Health Systems, School of Nursing, University of Washington . Seattle, WA ( United States ). Julietknguyen@gmail.com.ORCID 0000-0003-3574-6278
Jason J ParksResearch Analyst, Department of Biobehavorial Nursing and Health Systems, School of Nursing, University of Washington . Seattle, WA ( United States ). elfrijoli8@hotmail.com.ORCID 0000-0001-6829-2618
Annie Y LamClinical Associate Professor, School of Pharmacy, University of Washington . Seattle, WA ( United States ). aylam@uw.edu.ORCID 0000-0001-7204-1037
Donald E MoriskyProfessor, Fielding School of Public Health, University of California , Los Angeles. Los Angeles, CA ( United States ). dmorisky@ucla.edu.ORCID 0000-0003-1338-2231
Lara FernandoResearch Assistant, Department of Biobehavorial Nursing and Health Systems, School of Nursing, University of Washington . Seattle, WA ( United States ). laramariefernando@gmail.com.ORCID 0000-0001-8884-8003
Adeline ChuClinical Assistant Professor, Department of Biobehavorial Nursing and Health Systems, School of Nursing, University of Washington . Seattle, WA ( United States ). adechu@uw.edu.ORCID 0000-0003-4067-0773
Donna L BerryAssociate Professor The Phyllis F. Cantor Center, School of Medicine, Harvard University . Boston, MA ( United States ). Donna_Berry@dfci.harvard.edu.ORCID 0000-0001-7935-2807

Funding

INSTITUTE FOR TRANSLATIONAL HEALTH SCIENCE (UL1): BPCAUL1RR025014 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$51.5M
ZD1839 FOR MALIGNANT ASTROCYTOMA OR GLIOBLASTOMA AND MENINGIOMAM01RR000079 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KESSLER, DAVID A · 1985 to 2006
$26.0M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Institute for Translational Health Science (KL2)KL2RR025015 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$9.3M
UW Multidisciplinary Clinical Research Training (RMI)K12RR023265 · NCRR · UNIVERSITY OF WASHINGTON · PI PROBSTFIELD, JEFFREY LYNN · 2005 to 2007
$6.1M
BIOBEHAVIORAL NURSING RESEARCH TRAINING PROGRAMT32NR007106 · NINR · UNIVERSITY OF WASHINGTON · PI LANDIS, CAROL A · 1999 to 2013
$4.6M
Personal Patient Profile-Prostate: Testing and Implementation in Health NetworksR01NR009692 · NINR · UNIVERSITY OF WASHINGTON · PI BERRY, DONNA L. · 2006 to 2015
$4.0M
Computerized Assessment for Patients with Cancer: ESRA-C IIR01NR008726 · NINR · UNIVERSITY OF WASHINGTON · PI BERRY, DONNA L. · 2004 to 2009
$3.4M
Dyspnea Self-Management: Internet or Face-to-FaceR01NR008938 · NINR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CARRIERI-KOHLMAN, VIRGINIA LEE · 2005 to 2010
$2.3M
Improving Medication Adherence for Patients with Low Functional Health Literacy: R21NR010706 · NINR · UNIVERSITY OF WASHINGTON · PI WOLPIN, SETH · 2008 to 2009
$429k
Design and Feasibility of Pictographic Medication Reminders for Delivery via CellR21NR012504 · NINR · UNIVERSITY OF WASHINGTON · PI WOLPIN, SETH · 2012 to 2013
$417k
Real-Time Support for Exercise Persistence: Chronic Obstructive Pulmonary DiseaseR03NR009361 · NINR · UNIVERSITY OF WASHINGTON · PI NGUYEN, HUONG Q · 2006 to 2007
$153k
NCRR NIH HHS K12 RR023265NCRR NIH HHS KL2 RR025015NCRR NIH HHS M01 RR000079NCRR NIH HHS UL1 RR025014NINR NIH HHS R01 NR008726NINR NIH HHS R01 NR008938NINR NIH HHS R01 NR009692NINR NIH HHS R03 NR009361NINR NIH HHS R21 NR010706NINR NIH HHS R21 NR012504NINR NIH HHS T32 NR007106NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

backgroundPictographs (or pictograms) have been widely utilized to convey medication related messages and to address nonadherence among patients with low health literacy. Yet, patients do not always interpret the intended messages on commonly used pictographs correctly and there are questions how they may be delivered on mobile devices.

objectiveOur objectives are to refine a set of pictographs to use as medication reminders and to establish preliminary steps for delivery via smart phones.

methodsCard sorting was used to identify existing pictographs that focus group members found "not easy" to understand. Participants then explored improvements to these pictographs while iterations were sketched in real-time by a graphic artist. Feedback was also solicited on how selected pictographs might be delivered via smart phones in a sequential reminder message. The study was conducted at a community learning center that provides literacy services to underserved populations in Seattle, WA. Participants aged 18 years and older who met the criteria for low health literacy using S-TOFHLA were recruited.

resultsAmong the 45 participants screened for health literacy, 29 were eligible and consented to participate. Across four focus group sessions, participants examined 91 commonly used pictographs, 20 of these were ultimately refined to improve comprehensibility using participatory design approaches. All participants in the fifth focus group owned and used cell phones and provided feedback on preferred sequencing of pictographs to represent medication messages.

conclusionLow literacy adults found a substantial number of common medication label pictographs difficult to understand. Participative design processes helped generate new pictographs, as well as feedback on the sequencing of messages on cell phones, that may be evaluated in future research.

Indexed as

Health CommunicationHealth LiteracyMedication AdherencePatient Education as TopicSmartphoneUnited States

Identifiers

PMID27382421
PMCPMC4930855

What OpenQuestion holds

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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.