5 CzechPharmPed: starting the optimization of pharmacotherapy in children in daily clinical practice in the Czech Republic and Slovakia (initiative of a networking group of young researchers)

Introduction Evidence-based (EB) data on drug dosage optimization in children are already available across Europe. However, their systematic translation was lacking in the Czech Republic and Slovakia. The purpose of our project is to create a Czech drug database (CzechPharmPed) based on evidence of already existing international databases and national specifics, that will have a positive impact on the daily clinical practice. The objectification of this impact is crucial, moreover, provides valuable feedback. Methododology After the development of the content framework respecting drugs according to the State Institute for Drug Control (SÚKL) and technical development (a system based on PHP, MySQL and CSS, JavaScript technologies provided via a secure HTTPS connection, using HTTP 2.0 technology), the pharmacoepidemiology of paracetamol was evaluated using a cross-sectional study to map baseline values in a single centre. Results In the pre-implementation analysis, of all paracetamol prescriptions, 8% of errors were found in the indication, 15% in the routes of administration and in 20% inaccuracy of the pharmaceutical form according to the manufacturer. The single and daily cumulative dose were correct for 59% and 70% of prescriptions, respectively. The SÚKL recommendation for prescribing paracetamol was used by 80% of caregivers, but 62% of these were found to be inaccurate for use in children. Therefore, the domains (www.pharmped.cz, www.pharmped.sk.) and the calculator in cooperation with the database iplprecept.cz (individually prepared medicines) were approved for implementation. Conclusion CzechPharmPed is designed as a web-based, user-friendly, reflecting the need to update the user interface standards required in the Czech Republic and Slovakia while using the pre-implemantation analysis, its impact can be evaluated properly. Acknowledgements the Gama 2 Project TP01010040, Charles University 2022