Evidence map›Paper›PMID 42598173›Full record

ArticleJAMIA open2026

Confronting complexity: toward equitable healthcare technology design and evaluation for socioeconomically marginalized patients.

Tiffany C Veinot, Alicia K Stone, Sage Davis, Rupa S Valdez, Lorraine R Buis, Vaishnav Kameswaran, Marcy G Antonio, Graciela Lagraba, Tawanna R Dillahunt

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Tiffany C VeinotSchool of Information, University of Michigan, Ann Arbor, MI 48109, United States.ORCID https://orcid.org/0000-0003-1200-9515
Alicia K StoneSchool of Information, University of Michigan, Ann Arbor, MI 48109, United States.
Sage DavisCovenant Community Care, Detroit, MI 48210, United States.
Rupa S ValdezSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904, United States.ORCID https://orcid.org/0000-0002-5125-0793
Lorraine R BuisSchool of Information, University of Michigan, Ann Arbor, MI 48109, United States.ORCID https://orcid.org/0000-0001-5855-9972
Vaishnav KameswaranDepartment of Human-Computer Interaction, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE.
Marcy G AntonioSchool of Information, University of Michigan, Ann Arbor, MI 48109, United States.ORCID https://orcid.org/0000-0001-9332-8512
Graciela LagrabaSchool of Information, University of Michigan, Ann Arbor, MI 48109, United States.
Tawanna R DillahuntSchool of Information, University of Michigan, Ann Arbor, MI 48109, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Investigate how patients at a Federally-Qualified Health Center (FQHC) perform with, and perceive, complex telehealth tasks. Determine which complexity dimensions most affect patients' performance and perceptions, and compare this to researcher-evaluators' complexity walkthrough results. Materials and Methods: A novel complexity walkthrough inspection method was implemented by researcher-evaluators ( Results: Patients completed 33.9% of the required subtasks without issues. Cognitive load and perceived difficulty were high for 2 tasks. Complexity dimensions of Discussion: Technology-mediated task complexity may explain some telehealth uptake inequities. The complexity dimensions that challenge patients extend known usability heuristics by enhancing their equity sensitivity. Complexity walkthroughs surface design patterns that challenge patients, but complexity-focused user testing with patients reveals additional difficulties. Findings support Conclusion: This paper's novel, theoretically-grounded complexity-focused methods and findings may inform future equitable design and evaluation of technology-mediated tasks for socioeconomically marginalized patients.

Indexed as

access to primary carehealthcare equityhuman factorstelehealthusability

Identifiers

PMID42598173
PMCPMC13470433

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.