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Decreased memory bias via a mobile application: a symptom tracker to monitor children's periodic fever
Conference proceeding   Open access   Peer reviewed

Decreased memory bias via a mobile application: a symptom tracker to monitor children's periodic fever

Anna Sigridur Islind, Helena Vallo Hult, Karin Rydenman and Per Hällsjö Wekell
Challenges of trustable AI and added-value on health - proceedings of MIE 2022, pp.915-919
Studies in Health Technology and Informatics, 294
32nd Medical Informatics Europe Conference, MIE 2022, 179490 (Nice, 27/05/2022–30/05/2022)
2022
Scopus ID: 2-s2.0-85131106280
PMID: 35612242

Abstract

Children Co-design Healthcare Memory bias Mobile apps
Memory bias, the tendency to rely on certain events over others, can become an issue in chronic illnesses, especially when symptoms are reported retrospectively. This paper examines a case where continuous symptom registration can be facilitated, memory supported, and memory bias reduced by introducing a mobile application. The aim of the paper is to report on the design of an app for collecting subjective data over an extended period to continuously follow children with periodic fever. The research approach is qualitative, building on interview data. The design method is co-design, a collaborative and participatory approach involving researchers, physicians and other key stakeholders, with focus on the views of the parents. We argue that collecting data continuously through an app moves the discussion from memory to the specific data points, which is illustrated through trends shown in the visualizations of the data. Moreover, we highlight the importance of systematically collecting data over an extended period through a data-driven approach to both forward clinical practice and research on complex, often chronic topics such as periodic fever, which is genuinely under-researched to date.
url
https://doi.org/10.3233/SHTI220624View
Published (Version of record) Open

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