Evidence map›Paper›PMID 39849671›Full record

ArticleJMIR human factors2025

A User-Centered Design Approach for a Screening App for People With Cognitive Impairment (digiDEM-SCREEN): Development and Usability Study.

Michael Zeiler, Nikolas Dietzel, Fabian Haug, Julian Haug, Klaus Kammerer, Rüdiger Pryss, Peter Heuschmann, Elmar Graessel, Peter L Kolominsky-Rabas, Hans-Ulrich Prokosch

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Michael Zeiler *Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0009-0002-7267-9764
Nikolas Dietzel *Interdisciplinary Center for Health Technology Assessment and Public Health, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-5820-3738
Fabian HaugInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID 0000-0001-5697-3686
Julian HaugInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID 0000-0001-6323-3184
Klaus KammererInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID 0000-0001-8998-0890
Rüdiger PryssInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID 0000-0003-1522-785X
Peter HeuschmannInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.ORCID 0000-0002-2681-3515
Elmar GraesselUniklinik Erlangen Department of Psychiatry and Psychotherapy, Center for Health Services Research in Medicine, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-9009-5351
Peter L Kolominsky-RabasInterdisciplinary Center for Health Technology Assessment and Public Health, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-7168-058X
Hans-Ulrich ProkoschMedical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0001-6200-753X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dementia is a widespread syndrome that currently affects more than 55 million people worldwide. Digital screening instruments are one way to increase diagnosis rates. Developing an app for older adults presents several challenges, both technical and social. In order to make the app user-friendly, feedback from potential future end users is crucial during this development process. Objective: This study aimed to establish a user-centered design process for the development of digiDEM-SCREEN, a user-friendly app to support early identification of persons with slight symptoms of dementia. Methods: This research used qualitative and quantitative methods and involved 3 key stakeholder groups: the digiDEM research team, the software development team, and the target user group (older adults ≥65 years with and without cognitive impairments). The development of the screening app was based on an already existing and scientifically analyzed screening test (Self-Administered Tasks Uncovering Risk of Neurodegeneration; SATURN). An initial prototype was developed based on the recommendations for mobile health apps and the teams' experiences. The prototype was tested in several iterations by various end users and continuously improved. The app's usability was evaluated using the System Usability Scale (SUS), and verbal feedback by the end users was obtained using the think-aloud method. Results: The translation process during test development took linguistic and cultural aspects into account. The texts were also adapted to the German-speaking context. Additional instructions were developed and supplemented. The test was administered using different randomization options to minimize learning effects. digiDEM-SCREEN was developed as a tablet and smartphone app. In the first focus group discussion, the developers identified and corrected the most significant criticism in the next version. Based on the iterative improvement process, only minor issues needed to be addressed after the final focus group discussion. The SUS score increased with each version (score of 72.5 for V1 vs 82.4 for V2), while the verbal feedback from end users also improved. Conclusions: The development of digiDEM-SCREEN serves as an excellent example of the importance of involving experts and potential end users in the design and development process of health apps. Close collaboration with end users leads to products that not only meet current standards but also address the actual needs and expectations of users. This is also a crucial step toward promoting broader adoption of such digital tools. This research highlights the significance of a user-centered design approach, allowing content, text, and design to be optimally tailored to the needs of the target audience. From these findings, it can be concluded that future projects in the field of health apps would also benefit from a similar approach.

Indexed as

Cognitive DysfunctionDementiaMass ScreeningMobile ApplicationsUser-Centered DesignAgedAged, 80 and overFemaleHumansMaleagingcognitive disordercognitive impairmentdementiadesigndevelopmentdigiDEMfeedbackmHealthmobile appmobile healtholder adultsscreeningusabilityuser-centereduser centred

Identifiers

PMID39849671
PMCPMC11779685

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Registered trials

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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.