Evidence map›Paper›PMID 40933080›Full record

ArticleDigital health

User or patient/human or person? Development of a practical framework for applying user-centered design to vulnerable populations for digital transformation in healthcare.

Angelina Müller, Jannik Schaaf

Abstract read
In one paragraph

Article in Digital health. 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
–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

7 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

2 authors.

Angelina MüllerInstitute of General Practice, Goethe University Frankfurt, Frankfurt, Germany.ORCID https://orcid.org/0000-0003-0162-7000
Jannik SchaafInstitute of Medical Informatics, Goethe University Frankfurt, University Medicine, Frankfurt, Germany.ORCID https://orcid.org/0000-0002-0058-155X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: User-centered design (UCD) is essential in developing healthcare technologies that effectively address user needs, particularly in vulnerable populations. Although UCD traditionally emphasizes direct user involvement, challenges arise when individuals face cognitive, emotional, or structural barriers to participation. In medical settings, integrating UCD with inclusive design principles has been crucial to ensuring equitable healthcare solutions. Methods: Based on our expertise and a narrative review, we identified challenges and results in UCD approaches in digital health. Results: The findings reveal key principles for applying UCD in digital health, emphasizing the importance of early user engagement, accessibility, and interdisciplinary collaboration. Studies demonstrate that active involvement of end-users (patients, healthcare providers, and caregivers) through qualitative methods such as interviews, surveys, and usability testing, ideally following iterative design cycles, is critical for designing effective and inclusive digital tools. Accessibility considerations, particularly for vulnerable populations, and integration of digital tools into clinical workflows play an essential role in the process. Conclusion: To address these challenges, we propose a structured UCD framework for "user-patient-human-friendly" digital transformation in healthcare that guides the development of digital health technologies from initial user research to long-term evaluation. The framework provides a roadmap for designing solutions that are adaptable, inclusive, and sustainable, ensuring that healthcare technologies align with the needs of diverse populations.

Indexed as

digital healthhealth equityhuman factorsusability testingUser-centered designuser–computer interfacevulnerable populations

Identifiers

PMID40933080
PMCPMC12417668

What OpenQuestion holds

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LicenceCC BY
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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.