To explore and develop an algorithm for detection and prediction of Freezing of Gait episodes using smartphones and pressure sensing insoles.
N= 30 Persons with Parkinson Disease, data collection in lab setting and at home. Collaboration with University of Twente and Radboud University.
Data collection ongoing.
This study is funded by (OP) ERDF East Netherlands.
In this study the primary aim is to evaluate the effectiveness, in terms of self-efficacy control and quality of life, and the cost-effectiveness of self-monitoring based management of MS through the use of the MS sherpa app compared to care as usual without MS sherpa.
N=225, 125 intervention group, 100 control group, collaboration with Amsterdam UMC, 3 STZ hospitals, MS4Research institute and the Radboud University.
APPS MS (MS)
Develop and explore measuring methods using built-in sensors of conventional smartphones and wearables to quantify fatigue, disease activity and progression in a day-to-day setting in patients with MS.
N=125, 100 persons with MS, 25 healthy controls, collaboration with Amsterdam UMC, last patient visited in February 2021.
In data analysis phase, scientific publications in preparation.
MS SELF (MS)
The aim of this study is to assess the validity, sensitivity and ease of use of new mobile self-monitoring tools for people with Relapsing-Remitting Multiple Sclerosis.
N= 25 MS patients, N= 79 healthy controls.
Cloosterman at al. (2021)
Title: The Potential Impact of Digital Biomarkers in Multiple Sclerosis in The Netherlands: An Early Health Technology Assessment of MS Sherpa. Brain Sciences, volume 11, issue 10, 10.3390/brainsci11101305
Wester et al. (2021)
Title: Early HTA on the value of a decision support AI application in multiple sclerosis (in Dutch).
Lam et al. (2021)
Title: Reliability, construct and concurrent validity of a smartphone-based cognition test in multiple sclerosis. Multiple Sclerosis Journal, 10.1177/13524585211018103
Lam et al. (2020)
Title: Reliability, concurrent and ecological validity of smartphone-based cognition and walking tests (poster presentation ECTRIMS 2020)
Van Oirschot et al. (2020)
Title: Symbol Digit Modalities Test variant in a smartphone app for persons with multiple sclerosis: validation study. Journal of Medical Internet Research, mHealth & uHealth, 2020;8(10):e18160
Wendrich et al. (2019)
Title: Toward Digital Self-monitoring of Multiple Sclerosis: Investigating First Experiences, Needs, and Wishes of People with MS. International Journal of MS Care, 21(6):282-291
Pelle, T., van der Palen, J., de Graaf, F., van den Hoogen, F. H. J., Bevers, K., van den Ende, C. H. M. (2021)
Use and usability of the dr. Bart app and its relation with health care utilisation and clinical outcomes in people with knee and/or hip osteoarthritis, BMC Health Services Research volume 21, Article number: 444 (2021)
Pelle, T., Bevers, K., van der Palen, J., van den Hoogen, F. H., & van den Ende, C. H. (2020)
Effect of the dr. Bart application on healthcare use and clinical outcomes in people with osteoarthritis of the knee and/or hip in the Netherlands; a Randomized Controlled Trial. Osteoarthritis and Cartilage 28(4)