{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:36:34Z","timestamp":1740202594076,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>Approximately 300,000 asylum-seeking children arrived in Europe in 2015. The chance of experiencing a traumatic event is very high for fleeing children. Since the origin of the refugees is widespread, the languages spoken are diverse. Multilingual electronic patient-reported outcome systems (ePROs) can be used to gather medical data in a foreign language and display the results in the health professionals' language, which helps overcoming the language barrier. Utilizing such a system, a two-phase study aiming to screen refugee minors for potential mental health issues has started. Potential eligible participants are examined using questionnaires with good psychometric properties and cross-cultural applicability. To date, 75 minors and 21 of their relatives participated in the study, being German and Arabic the most desired languages for the electronic survey. Developing a system that provides multilingual questionnaires entails several drawbacks like a cumbersome translation process and dealing with writing directions. The proposed translation process and the ePRO can be re-used in similar studies.<\/jats:p>","DOI":"10.3233\/978-1-61499-896-9-109","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:07:49Z","timestamp":1740157669000},"source":"Crossref","is-referenced-by-count":0,"title":["Conducting a Multilingual Study Researching Traumatised Refugees Utilizing a Patient-Reported Outcome System"],"prefix":"10.3233","author":[{"family":"Storck Michael","sequence":"additional","affiliation":[]},{"family":"Christians Gundula","sequence":"additional","affiliation":[]},{"family":"M&ouml;ller Birgit","sequence":"additional","affiliation":[]},{"family":"Dugas Martin","sequence":"additional","affiliation":[]},{"family":"Soto-Rey I&ntilde;aki","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences: A Learning Healthcare System"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:54:10Z","timestamp":1740160450000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-895-2&spage=109&doi=10.3233\/978-1-61499-896-9-109"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-896-9-109","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}