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Reliability and validity analyses for the coding of information entered into the Ehealth4MDD database

posted on 17.07.2018, 00:00 by Franziska Burger, M.A. (Mark) Neerincx, Willem-Paul Brinkman
This dataset contains all data and analysis scripts pertaining to the research conducted for the CyberPsychology23 conference paper: “EHealth4MDD: a database of e-health systems for the prevention and treatment of depressive disorders.” In the scope of the research conducted and described in this paper, we have developed a relational database to systematically describe e-mental health systems for the prevention and treatment of Major Depressive Disorder (MDD). For the purpose of creating this database, literature had to be retrieved from PubMed, Scopus, and Web of Knowledge and filtered for inclusion and exclusion based on title, abstract, and full-paper. Samples of records at each stage were double coded. Once the final body of literature was identified, information from the papers had to be extracted (coded) and entered into the database. Four of the database attributes were selected to be double coded again on samples. Furthermore, a set of scales was developed of which we assessed concurrent validity. We here deliver the version of the database used for the analyses as well as all files and documents required for potential replication.



TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems


TU Delft

Time coverage

e-mental health systems for the treatment and prevention of major depressive disorder developed between 2000 and 2017


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