The Added Value of Log File Analyses of the Use of a Personal Health Record for Patients With Type 2 Diabetes Mellitus
| Autor: | Saskia M. Kelders, Julia E.W.C. van Gemert-Pijnen, Floor Sieverink, Louise Marie Antoinette Braakman-Jansen |
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| Rok vydání: | 2014 |
| Předmět: |
Service (systems architecture)
Special Section: Telemedicine for Diabetes business.industry Endocrinology Diabetes and Metabolism media_common.quotation_subject Biomedical Engineering Type 2 Diabetes Mellitus Bioengineering medicine.disease Session (web analytics) World Wide Web IR-89290 Chronic disease Log data Internal Medicine medicine Added value Personal health Quality (business) Medical emergency METIS-299761 business media_common |
| Zdroj: | Journal of diabetes science and technology. Diabetes Technology Society |
| ISSN: | 1932-2968 |
| DOI: | 10.1177/1932296814525696 |
| Popis: | Background: The electronic personal health record (PHR) is a promising technology for improving the quality of chronic disease management. Until now, evaluations of such systems have provided only little insight into why a particular outcome occurred. The aim of this study is to gain insight into the navigation process (what functionalities are used, and in what sequence) of e-Vita, a PHR for patients with type 2 diabetes mellitus (T2DM), to increase the efficiency of the system and improve the long-term adherence. Method: Log data of the first visits in the first 6 weeks after the release of a renewed version of e-Vita were analyzed to identify the usage patterns that emerge when users explore a new application. Results: After receiving the invitation, 28% of all registered users visited e-Vita. In total, 70 unique usage patterns could be identified. When users visited the education service first, 93% of all users ended their session. Most users visited either 1 or 5 or more services during their first session, but the distribution of the routes was diffuse. Conclusions: In conclusion, log file analyses can provide valuable prompts for improving the system design of a PHR. In this way, the match between the system and its users and the long-term adherence has the potential to increase. |
| Databáze: | OpenAIRE |
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