Evidence map›Paper›PMID 36040190›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Comprehension, utility, and preferences of prostate cancer survivors for visual timelines of patient-reported outcomes co-designed for limited graph literacy: meters and emojis over comics.

Lauren E Snyder, Daniel F Phan, Kristen C Williams, Eduardo Piqueiras, Sarah E Connor, Sheba George, Lorna Kwan, Jefersson Villatoro Chavez, Megha D Tandel, Stanley K Frencher and 3 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Community engagement in the development of health-related data visualizations: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  6. Article
  7. Meeting the information and communication needs of health disparate populations.Journal of the American Medical Informatics Association : JAMIA · 2022
    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

13 authors at 3 institutions in 1 country.

Lauren E SnyderDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
Daniel F PhanDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
Kristen C WilliamsDepartment of Urology, University of California, Los Angeles, California, USA.
Eduardo PiqueirasDepartment of Urology, University of California, Los Angeles, California, USA.
Sarah E ConnorDepartment of Urology, University of California, Los Angeles, California, USA.
Sheba GeorgeDepartment of Community Health Sciences, The Fielding School of Public Health, University of California, Los Angeles, California, USA.
Lorna KwanDepartment of Urology, University of California, Los Angeles, California, USA.
Jefersson Villatoro ChavezDepartment of Urology, University of California, Los Angeles, California, USA.
Megha D TandelDepartment of Urology, University of California, Los Angeles, California, USA.
Stanley K FrencherDepartment of Urology, University of California, Los Angeles, California, USA.
Mark S LitwinDepartment of Urology, University of California, Los Angeles, California, USA.ORCID 0000-0002-2318-344X
John L GoreDepartment of Urology, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-2847-5062
Andrea L HartzlerDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-4932-7314
University of California, Los Angeles · USUniversity of Washington · USUniversity of Washington Medical Center · US

Funding

US Department of Defense Office of the Congressionally Directed Medical Research Programs (CDMRP) W81XWH-18-1-0465
6 · The paper itself

Abstract

objectiveVisual timelines of patient-reported outcomes (PRO) can help prostate cancer survivors manage longitudinal data, compare with population averages, and consider future trajectories. PRO visualizations are most effective when designed with deliberate consideration of users. Yet, graph literacy is often overlooked as a design constraint, particularly when users with limited graph literacy are not engaged in their development. We conducted user testing to assess comprehension, utility, and preference of longitudinal PRO visualizations designed for prostate cancer survivors with limited literacy. MATERIALS AND

methodsBuilding upon our prior work co-designing longitudinal PRO visualizations with survivors, we engaged 18 prostate cancer survivors in a user study to assess 4 prototypes: Meter, Words, Comic, and Emoji. During remote sessions, we collected data on prototype comprehension (gist and verbatim), utility, and preference.

resultsParticipants were aged 61-77 (M = 69), of whom half were African American. The majority of participants had less than a college degree (95%), had inadequate health literacy (78%), and low graph literacy (89%). Among the 4 prototypes, Meter had the best gist comprehension and was preferred. Emoji was also preferred, had the highest verbatim comprehension, and highest rated utility, including helpfulness, confidence, and satisfaction. Meter and Words both rated mid-range for utility, and Words scored lower than Emoji and Meter for comprehension. Comic had the poorest comprehension, lowest utility, and was least preferred. DISCUSSION: Findings identify design considerations for PRO visualizations, contributing to the knowledge base for visualization best practices. We describe our process to meaningfully engage patients from diverse and hard-to-reach groups for remote user testing, an important endeavor for health equity in biomedical informatics.

conclusionGraph literacy is an important design consideration for PRO visualizations. Biomedical informatics researchers should be intentional in understanding user needs by involving diverse and representative individuals during development.

Indexed as

Cancer SurvivorsHealth LiteracyProstatic NeoplasmsComprehensionHumansMalePatient Reported Outcome MeasuresProstateSurvivorsconsumer health informationhealth educationhealth literacypatient-reported outcome measureuser-centered design

Identifiers

PMID36040190
PMCPMC9552288
OpenAlexW4293567199

What OpenQuestion holds

Textmetadata
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.