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Prospectus

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Innovations in eHealth Care

Course
2015-2016

Entry requirements

Open to all master students Psychology. The course provides a broad view on eHealth in a diverse range of health care settings.

Description

This course provides an introduction in what eHealth encompasses and how it can be used to enhance and improve health care in several different areas. The lectures in this course will provide a broad overview of eHealth tools and applications from a wide range of health care settings. In each lecture, the use of eHealth in a different field in health care will be explored, showing students current interventions, how they work, and how they are deployed in health practice. Topics that will be addressed are (a.o.) prevention and lifestyle interventions, chronic care and self-management, rehabilitation tools, and mental health care. Within these topics a wide range of eHealth functionalities will be addressed, such as online treatment, web portals, smartphone applications, serious gaming, and blended forms of eHealth. We will also discuss the (ethical and practical) annotations of this form of health care. Besides exhibiting existing eHealth applications and interventions, we will focus more theoretically on how to design and implement eHealth. Questions such as; ‘How do you make sure to connect to needs and skills of your target group?’, and ‘How can you achieve that an eHealth tool is taken up in the care process and will be actively used?’ will be addressed. To bring this knowledge into practice, students will develop their own eHealth modules in small subgroups.

Course objectives

Upon completion of the course, students will:

  • Know about the basic principles of eHealth and the use of eHealth in different health care settings, related to Health-, Medical and Neuropsychology;

  • Know about a broad range of eHealth tools, interventions and functionalities and how they are used to improve health care;

  • Know about theory and research on how to develop, implement and evaluate eHealth applications; and

  • Have practical experience with developing an eHealth module that fits the needs and skills of their target group.

Timetable

For the timetables of your lectures, work groups and exams, please select your study programme in:
Psychology timetables

Registration

Course

Students need to enroll for lectures and work group sessions.
Master’s course registration

Examination

Students are not automatically enrolled for an examination. They can register via uSis from 100 to 10 calendar days before the date. Students who are not registered will not be permitted to take the examination.
Registering for exams

Mode of instruction

8 2-hour lectures and unsupervised work group sessions, with online tutoring (attendance of all meetings is obligatory):

  • Lectures: to cover the relevant literature, provide knowledge about eHealth in health care and discuss theory about eHealth development, implementation and evaluation.

  • Unsupervised work group sessions: to practice in developing online modules and test these modules on the target group.

  • Online tutoring/supervision is available during the course to discuss questions or problems with a supervisor.

Assessment

Grading will be based on three assessments:

  • Developing an eHealth module for a specific target group (pass/fail);

  • Group presentation of the eHealth module in the last lecture session of the course (grade);

  • Writing a group report on the developmental process of the module, incorporating scientific literature and what is learned during the lectures (grade);
    Students have to pass all parts of the assessment. Grading will be based on the presentation (20%), and on the paper (80%).

The Faculty of Social and Behavioural Sciences has instituted that instructors use a software programme for the systematic detection of plagiarism in students’ written work. In case of fraud disciplinary actions will be taken. Please see the information concerning fraud.

Reading

Course Reader with scientific literature related to the lecture topics.

Contact

Dr. Rosalie van der Vaart
r.vandervaart@fsw.leidenuniv.nl