Main research projects

Safe care by persuasive designs

In several project we study how adherence to safety regulations can be increased using the Persuasive system design model in eHealth technology development. The systems within these projects are aimed at general public, patients and healthcare professionals.


Antibiotic Information App for nurses

Prevalence app

Infection manager


Nienke Beerlage-de Jong

Jobke Wentzel

Further information


Measuring effects of persuasiveness of health technology

We are developing and validating an instrument, based on the Persuasive System Design model, to measure the perceived persuasiveness of health technology. This can contribute to more insight in the ‘black box’ of eHealth, by exploring the influence of persuasion on adherence and success of eHealth technology.

Further information

Beerlage-de Jong, N., Kulyk, O.A., Wentzel, M.J., Van Gemert-Pijnen, J.E.W.C., Oinas-Kukkonen, H. (in press) “Sorting out” the PPQ: A mixed-method approach to evaluate Perceived Persuasiveness Questionnaire constructs. Poster presented at Persuasive 2015, June 3-5, Chicago, USA.


Nienke Beerlage-de Jong

Olga Kulyk

Adherence to Personal Health Records

Projects to collect, analyze and visualize logdata from real-time usage of Personal Health records (PHRs) and its users to identify usage patterns and to determine user profiles. The profiles will be used to personalize feedback to needs and usage contexts of patients and professionals and to improve (the persuasiveness of) such applications. Furthermore, input will be used to identify how PHRs can be of added value for both patients and professionals in the current healthcare processes.





Floor Sieverink

Saskia Akkersdijk

Big data to personalize healthcare

Big data will be analyzed to understand how data can be used for machine generated feedback systems. To better understand how big data impacts society, safety, healthcare and business, and what the critical factors are for using big data to personalize healthcare we investigate A) how to use data from large and complex datasets in an effective, efficient, secure and safe way, B) how the use of big data to personalize healthcare impacts attitudes and behaviors, and C) how to analyze and interpret in a sensible way in order to design real-time, accurate, persuasive and personalized feedback systems?



Liseth Tjin-Kam-Jet-Siemons

Floor Sieverink

Stakeholder mapping

Stakeholder methods will be studied to map health technologies with stakeholders interest and values, to increase the integration of technology in healthcare. For example mental models, value mapping, focus groups.



Maarten van Limburg

Melle Lorijn

Annemarie Braakman-Jansen