Abstract
A wealth of physiological, pathophysiological and clinical evidence of the beneficial effects of childhood fever exists already. Nevertheless, the public perception of fever has become persistently negative. Sociological research attributes this to a number of factors: unjustified fear, help-seeking behaviour, complex behavioural patterns of symptom avoidance and comfort-seeking. One of the keys to this change in attitudes, in the light of recent research, is linked to changes in the awareness and understanding of health among health professionals and lay people. The role of the young generation using media is crucial. To establish a long-term research project to reduce the use of medication (antipyretics and antibiotics) and the number of medical consultations and to improve attitudes towards fever, using media-based e-health tools. An observational, adaptive, prospective cohort study was conducted. The intervention under study is a publicly available application and linked knowledge base. We collect self-reported data from caregivers. The application takes these into account and provides a decision-supporting condition classification based on a differential diagnosis algorithm. 1) The parameters, primary and secondary criteria to be captured in the application as well as the data collection and data processing methodology for the assessment were defined by 100% consensus of the expert partners in a Delphi process. 2) Based on the available national and international guidelines, the above parameters were used to create the condition assessment, decision aid algorithm, which can be a starting point for machine learning in the long term. 3) We evaluated baseline data on demographics, febrile events and antipyretic use from 01/11/2020 to 15/06/2022. The FeverFriendTM project can contribute to reduce the burden of medicalisation and care burden on the existing healthcare system through evidence-based modern fever management in the care of children and adults with fever. The impact of the FeverFriendTM program on target behavioural change needs to be further investigated through data analysis. Orv Hetil. 2023; 164(5): 179-185.
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