eHealth for Breast Cancer Survivors: Use, Feasibility and Impact of an Interactive Portal
Open accessAbstract
BACKGROUND: MijnAVL is an interactive portal including patient education, overview of appointments, access to the electronic medical records (EMR), patient-reported outcomes, plus feedback and physical activity support. OBJECTIVE: With this study we aimed to evaluate the use, feasibility, and impact of MijnAVL among breast cancer survivors. METHODS: We included survivors currently or recently treated with curative intent, who completed questions on sociodemographics, patient activation (PAM), quality of life (SF-36), and physical activity (IPAQ). MijnAVL could be used noncommittally for four months. Log data were collected retrospectively and participants completed questions on acceptability, satisfaction, and the PAM, SF-36 and IPAQ. RESULTS: Ninety-two women (mean age 49.5 years, 59% on-treatment) participated, with a mean number of logins of 8.7. Overview of appointments (80% of participants) and access to the EMR (90%) were most frequently used and most highly valued. Average website user satisfaction was 3.8 on a 5-point scale. Although participants reported having more knowledge and experiencing more control of their situation after using MijnAVL, PAM scores did not change significantly. Three domains of the SF-36 (role functioning - emotional, mental health, and social functioning) and median vigorous physical activity improved significantly over time. The burden of MijnAVL for professionals was limited. CONCLUSIONS: User experiences were positive and exposure to MijnAVL was accompanied by improvements in three quality of life domains and vigorous physical activity. Tailored features may be needed to enhance the usefulness and efficacy of MijnAVL. Research with a controlled design is needed to confirm our findings.
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Log data analyses in eHealth research have mainly focused on descriptive statistics such as number of logins, time spent, and frequency of use of different elements by all users as a group.
“Log data analyses in eHealth research have mainly focused on descriptive statistics, such as the number of logins, time spent, and the frequency of use of the different elements by all users as a group [18-20].”
From Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data (2017) · cites this paper as [20]
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- Authors
- Kuijpers, W., Groen, W. G., Oldenburg, H. S., Wouters, M. W., Aaronson, N. K., & van Harten, W. H.
- Affiliations
- The Netherlands Cancer Institute (NL)
- ORCID
- Venue
- JMIR Cancer
- Publisher
- JMIR Publications Inc.
- Published
- 2016-05-10
- Volume
- 2
- Issue
- 1
- Pages
- e3
- ISSN
- 2369-1999 (ISSN-L)
- PMC
- PMC5369634
- OpenAlex
- W2409089748
- Cited by
- 77
- References
- 29
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 5 · 2023: 10 · 2022: 12 · 2021: 14 · 2020: 8 · 2019: 7 · 2018: 9 · 2017: 7
- FWCI
- 4.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Cancer (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion, cc-by)
- University of Twente Research Information (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- KWF Kankerbestrijding
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- breast cancer survivors, e-health, patient activation, quality of life, physical activity, patient-reported outcomes, patient education, user satisfaction, feasibility
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