This paper is in the following e-collection/theme issue:

Focus Groups and Qualitative Research with Users (507) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (882) Mobile Health (mhealth) (1560) Diabetes (75) Diabetes Self-Management (313) Usability of Apps and User Perceptions of mHealth (643) Adoption and Change Management of eHealth Systems (384) mHealth for Wellness, Behavior Change and Prevention (1916)

Published on in Vol 9, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34918, first published .
Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study

Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study

Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study

Authors of this article:

Patrik Schretzlmaier 1 Author Orcid Image ;   Achim Hecker 2, 3 Author Orcid Image ;   Elske Ammenwerth 1 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics
Patrik Schretzlmaier 1, MEng;  Achim Hecker 2, 3, PhD;  Elske Ammenwerth 1, PhD

1 Institute of Medical Informatics, UMIT – Private University for Health Sciences, Medical Informatics and Technology , Hall in Tirol , AT

2 Institute for Management and Economics in Healthcare, UMIT – Private University for Health Sciences, Medical Informatics and Technology , Hall in Tirol , AT

3 DBU Digital Business University of Applied Sciences , Berlin , DE

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