Evidence map›Paper›PMID 37603830›Full record

ArticleInformatics for health & social care2023

Evaluating and refining a pain quality information visualization tool with patients and interpreters to facilitate pain assessment in primary care settings.

Maichou Lor, Nancy B Yang, Uba Backonja, Suzanne Bakken

Open access · greenAbstract read
In one paragraph

Article in Informatics for health & social care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.2field-weighted citation impact, top 5% 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, 9 citations in OpenAlex.

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  6. Seeing things the same way: perspectives and lessons learned from research-design collaborations.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

4 authors at 3 institutions in 1 country.

Maichou LorSchool of Nursing, University of Wisconsin-Madison, Madison, WI, USA.
Nancy B YangSchool of Nursing, University of Wisconsin-Madison, Madison, WI, USA.
Uba BackonjaDepartment of Biomedical Informatics and Medical Education, University of Washington-Seattle, Seattle, WA, USA.
Suzanne BakkenSchool of Nursing and Biomedical Informatics, Columbia University, New York, NY, USA.
University of Wisconsin–Madison · USColumbia University · USUniversity of Washington Medical Center · US

Funding

Information Visualization to Improve Pain Communication Between Providers, Interpreters, and Patients with Limited English ProficiencyK23NR019289 · NINR · UNIVERSITY OF WISCONSIN-MADISON · PI LOR, MAICHOU · 2020 to 2022
$480k
NINR NIH HHS K23 NR019289
6 · The paper itself

Abstract

Information visualization (InfoViz) tools offer a potential solution to pain communication challenges. Incongruencies in communication styles between patients with limited English proficiency (LEP), interpreters, and providers contribute to significant disparities in pain care and outcomes. This study's purpose is to evaluate and refine a culturally appropriate InfoViz pain quality assessment tool for LEP Hmong patients. We conducted a three-part iterative user-centered study with LEP Hmong, bilingual Hmong, and Hmong interpreters with (1) participatory design sessions to evaluate and refine pain infographics for inclusion on the tool, (2) card-sorting to organize the infographics to match the mental models of LEP patients, and (3) a tool assessment to identify which tool accurately represented LEP patients' mental models and was preferred in clinical settings. Fifty-five participants provided three common themes for pain infographics refinement: culturally-relevant colors, infographics resembling human anatomy, and action-specific squiggle lines. The card-sorting sessions revealed three organizational themes: sensation (

Indexed as

CommunicationTranslatingHumansPainPain MeasurementPrimary Health Carecard-sortingcommunicationInformation visualizationpainparticipatory designuser-centered design

Identifiers

PMID37603830
PMCPMC10962645
OpenAlexW4386021616

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.