AUTHOR=Gerbier Eva , Vial Yvan , Puder Jardena , Le Dizès Olivier , Andrey Magali , Arhab Amar , Horsch Antje , Avignon Valérie , Fort Déborah , Deforges Camille , Fischer Fumeaux Céline J. , Henriot Isabelle , Pereira Goncalves Diana Pinto , Pomar Léo , Favre Guillaume , Damnon Françoise , Legardeur Hélène , Mayor Gaëlle , Ceulemans Michael , Budry Nohan , Page Didier , Eisenberger Juergen , Liechti Olivier , Baud David , Panchaud Alice TITLE=Datamama, bringing pregnancy research into the future: design, development, and evaluation of a citizen science pregnancy mobile application JOURNAL=Frontiers in Drug Safety and Regulation VOLUME=Volume 3 - 2023 YEAR=2023 URL=https://www.frontiersin.org/journals/drug-safety-and-regulation/articles/10.3389/fdsfr.2023.1187023 DOI=10.3389/fdsfr.2023.1187023 ISSN=2674-0869 ABSTRACT=Background: Pregnancy mobile applications (apps) have grown in popularity over the past decade, with some used to promote study recruitment or health behaviours. However, no app serves as an all-in-one solution for collecting general data for research purposes and providing women with useful and desirable features. Aim: To create a Swiss pregnancy mobile app as an innovative means to collect research data and provide users with reliable information. Methods: Determining the key features of the app involved a review of the literature and an assessment of popular apps in the Swiss AppStore. A team of engineers developed the app, which includes a pregnancy timeline, questionnaires for data collection, medical and psychological articles written by healthcare experts and, a checklist with appointment reminders. The questionnaires are distributed based on the user's gestational age by a chatbot. The ethics commission in the canton of Vaud authorized the project. An online survey of ten questions, advertised on Datamama's home screen, was conducted to assess the users' app use. Results: A review of 84 articles and 25 popular apps showed the need for a comprehensive pregnancy app. Datamama was developed over two years and includes 70 medical and psychological articles and 29 questionnaires. After the promotion campaign, there were 800 users with a 73% average participation rate in the questionnaires. Sixty-five women completed the survey, with 70.8% using the app once to multiple times per week. The reason most frequently ranked first for using the app was to help research by answering the questionnaires (42/65, 67% of women rated it first). Women rated the information clear, understandable, and interesting, with a trust rating in data handling at 98.5%. The average grade for recommending the app was 8/10, with suggestions for increasing the amount of medical content and tailoring it based on gestational age. Conclusion: Datamama is the first pregnancy application serving patients' and researchers' needs. Initial feedback from the users was highly positive and highlighted the future challenges that should be addressed to ensure its success. Future work will use the data collected to test its validity and answer specific pregnancy-related health questions.