ArticleJournal of diabetes science and technology2014
The Added Value of Log File Analyses of the Use of a Personal Health Record for Patients With Type 2 Diabetes Mellitus: Preliminary Results.
Article in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functions and Outcomes of Personal Health Records for Patients with Chronic Diseases: A Systematic Review.Perspectives in health information managemen · 2021Pooled it
- Effects of the Proactive Interdisciplinary Self-Management (PRISMA) Program on Online Care Platform Usage in Patients with Type 2 Diabetes in Primary Care: A Randomized Controlled Trial.Journal of diabetes research · 2020Trial
- How Cancer Patients Use and Benefit from an Interactive Cancer Communication System.Journal of health communication · 2017Trial
- Patient Portals as Facilitators of Engagement in Patients With Diabetes and Chronic Heart Disease: Scoping Review of Usage and Usability.Journal of medical Internet research · 2023Article
- Evaluating a Strengths-Based mHealth Tool (MyStrengths): Explorative Feasibility Trial.JMIR formative research · 2021Article
- Metrics for Outpatient Portal Use Based on Log File Analysis: Algorithm Development.Journal of medical Internet research · 2020Article
- Exploring How Professionals Within Agile Health Care Informatics Perceive Visualizations of Log File Analyses: Observational Study Followed by a Focus Group Interview.JMIR human factors · 2020Article
- Effects of use of an eHealth platform e-Vita for COPD patients on disease specific quality of life domains.Respiratory research · 2019Article
- Patient Engagement as Measured by Inpatient Portal Use: Methodology for Log File Analysis.Journal of medical Internet research · 2019Article
- A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review.JMIR mHealth and uHealth · 2019Article
- Inpatient portal clusters: identifying user groups based on portal features.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Patient Portal Use in Diabetes Management: Literature Review.JMIR diabetes · 2018Review
- Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data.JMIR research protocols · 2017Article
- High Level of Integration in Integrated Disease Management Leads to Higher Usage in the e-Vita Study: Self-Management of Chronic Obstructive Pulmonary Disease With Web-Based Platforms in a Parallel Cohort Design.Journal of medical Internet research · 2017Article
- Demographical, Clinical, and Psychological Characteristics of Users and Nonusers of an Online Platform for T2DM Patients (e-VitaDM-3/ZODIAC-44).Journal of diabetes research · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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. 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. 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. 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.