Cooperative Design of a Dashboard for Monitoring the P4D Cohort Study on Major Depression

Abstract
The P4D (Personalised, Predictive, Precise, and Preventive Medicine for Major Depression) study aims at an improved prediction of treatment outcomes based on a more precise stratification of major depression subtypes. It is collecting very complex data from 1,000 patients across five German university hospitals. We have designed a dashboard to monitor the study and share the collected data among the study partners. We employed a state-of-the-art cooperative dashboard design approach by Setlur et al. [SCST24] in two design cycles: user feedback and dashboard revision. We observed a significant improvement in user satisfaction from the first (Mean=3.57 std=0.95) to the second (Mean=3.87 std=0.80) cycle and an overall positive assessment.
Description

CCS Concepts: Human-centered computing → Information visualization; Visualization design and evaluation methods

        
@inproceedings{
10.2312:evp.20241081
, booktitle = {
EuroVis 2024 - Posters
}, editor = {
Kucher, Kostiantyn
and
Diehl, Alexandra
and
Gillmann, Christina
}, title = {{
Cooperative Design of a Dashboard for Monitoring the P4D Cohort Study on Major Depression
}}, author = {
Maharlou, Hamidreza
and
Bössel-Debbert, Nicole
and
Weber, Heike
and
Weihs, Antoine
and
Frieling, Helge
and
Oeltze-Jafra, Steffen
and
Lucht, Michael
and
Maier, Hannah B.
and
Mücke, Stefanie
and
Müntefering, Fabian
and
Neuhaus, Barbara
and
Prokein, Jana
and
Reif-Leonhard, Christine
and
Voges, Jan
}, year = {
2024
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-258-5
}, DOI = {
10.2312/evp.20241081
} }
Citation