A Mobile App to Stabilize Daily Functional Activity of Breast Cancer Patients in Collaboration With the Physician: A Randomized Controlled Clinical Trial
Initiatives
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The aim of the study was to evaluate the effects of a mobile app on patient-reported daily functional activity in a supervised and unsupervised setting.
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2013
- End Year
- 2015
- Funding
- This research was supported by the Swiss Tumor Institute Zürich, Switzerland.
Visit Egbring et al.; J Med Internet Res. 2016
Design
- Study design
- Clinical trial cohort
Marker Paper
Egbring M, Far E, Roos M, et al. A Mobile App to Stabilize Daily Functional Activity of Breast Cancer Patients in Collaboration With the Physician: A Randomized Controlled Clinical Trial. J Med Internet Res. 2016;18(9):e238. Published 2016 Sep 6. doi:10.2196/jmir.6414
PUBMED 27601354
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 139
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
breast cancer patients
Eligible participants were recruited consecutively and without preselection during planning of chemotherapy.
Selection Criteria
- Gender
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women
- Minimum age
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18
- Newborns
- Twins
- Countries
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- Switzerland
- Ethnic Origin
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- Health Status
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- breast cancer
Recruitment
- Sources of recruitment
-
- Clinical patients
Number of participants
- Number of participants
- 138
- Number of participants with biosamples
Data Collection Event
The study developed a novel open-source mobile and Web app to record daily functional activity and adverse events. This mobile app was made available in the Apple and Google Android stores free of charge.
- Start Date
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2013-12
- End Date
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2015-07
- Data sources
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Mobile data collection
- Mobile phone
- Smartphone
- Smartphone apps
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Mobile data collection