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Towards mHealth Systems for Support of Psychotherapeutic Practice: A Qualitative Study of Researcher-Clinician Collaboration in System Design and Evaluation

Overview of attention for article published in International Journal of Telemedicine & Applications, March 2016
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Title
Towards mHealth Systems for Support of Psychotherapeutic Practice: A Qualitative Study of Researcher-Clinician Collaboration in System Design and Evaluation
Published in
International Journal of Telemedicine & Applications, March 2016
DOI 10.1155/2016/5151793
Pubmed ID
Authors

Karin Halje, Toomas Timpka, Joakim Ekberg, Magnus Bång, Anders Fröberg, Henrik Eriksson

Abstract

We examined clinicians' and researchers' experiences from participation in collaborative research on the introduction of Internet and mobile information systems (mHealth systems) in psychotherapeutic routines. The study used grounded theory methodology and was set in a collaboration that aimed to develop and evaluate mHealth support of psychotherapy provided to young people. Soundness of the central objects developed in the design phase (the collaboration contract, the trial protocol, and the system technology) was a necessary foundation for successful collaborative mHealth research; neglect of unanticipated organizational influences during the trial phase was a factor in collaboration failure. The experiences gained in this study can be used in settings where collaborative research on mHealth systems in mental health is planned.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 14%
Researcher 7 12%
Student > Ph. D. Student 7 12%
Student > Bachelor 6 11%
Student > Doctoral Student 5 9%
Other 14 25%
Unknown 10 18%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Psychology 9 16%
Computer Science 7 12%
Nursing and Health Professions 5 9%
Social Sciences 5 9%
Other 12 21%
Unknown 10 18%