K.A.E. Wijlens MSc | People Pages: Find employees & contact details

Expertise

Psychology
- Breast Cancer
- Treatment
- Practitioners
Medicine and Dentistry
- Cancer-Related Fatigue
- Patient
- Learning
Nursing and Health Professions
- Fatigue
- Malignant Neoplasm

Organisations

I will be working on the PARTNR project (Personalized cAnceR TreatmeNt and caRe, https://www.utwente.nl/nl/techmed/partnr/) to create a platform for breast cancer patients to predict, monitor and provide personal interventions for them against cancer-related fatigue.

Publications

2024

Face and content validity of a holistic assessment questionnaire to assess cancer-related fatigue after breast cancer (2024)Fatigue: Biomedicine, Health and Behavior, 12(4), 293-307. Wijlens, K. A. E., Witteveen, A., Beenhakker, L., Siemerink, E. J. M., Achterkamp, R., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.https://doi.org/10.1080/21641846.2024.2389007Decision support towards optimal intervention for breast cancer patients who experience cancer-related fatigue (2024)Medical decision making, 44(3), NP182-NP182 (E-pub ahead of print/First online). Beenhakker, L., Wijlens, K. A. E., Witteveen, A., Bode, C., Siesling, S. & Vollenbroek-Hutten, M. M. R.https://doi.org/10.1177/0272989X241236400

2023

A holistic profile for cancer-related fatigue for women with breast cancer–a qualitative study (2023)Psychology & health (E-pub ahead of print/First online). Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siemerink, E. J. M., Jansen, L., Gernaat, C., Schellekens, M. P. J., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.https://doi.org/10.1080/08870446.2023.2289457Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis (2023)Journal of cancer survivorship (E-pub ahead of print/First online). Beenhakker, L., Wijlens, K. A. E., Witteveen, A., Heins, M., Korevaar, J. C., de Ligt, K. M., Bode, C., Vollenbroek-Hutten, M. M. R. & Siesling, S.https://doi.org/10.1007/s11764-023-01491-1Psychological Coping Factors Associated With Breast Cancer-Related Fatigue: A Systematic Review of Recent Evidence for Stages 0 to III (2023)Clinical breast cancer, 23(7), E401-E411. Schaab, M., Wijlens, K. A. E. & Bode, C.https://doi.org/10.1016/j.clbc.2023.06.005Monitoring of cancer-related fatigue after breast cancer in daily-life: from development towards implementation (2023)[Contribution to conference › Poster] 12th Supporting Health by Technology Conference 2023. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.Preferences of breast cancer patients related to attributes of eHealth interventions for cancer-related fatigue (2023)[Contribution to conference › Abstract] 12th Supporting Health by Technology Conference 2023. Beenhakker, L., Brughuis, M. D. M., Wijlens, K. A. E., Bode, C., Siesling, S., Vollenbroek-Hutten, M. M. R., Witteveen, A. & van Til, J. A.Content validity of a toolkit for holistic monitoring of cancer-related fatigue in breast cancer patients (2023)[Contribution to conference › Abstract] 12th Annual ARPH Conference 2023. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.

2022

158 (PB-071) Poster - Home-monitoring of cancer-related fatigue in breast cancer patients (2022)[Contribution to conference › Poster] 13th European Breast Cancer Conference, EBCC 2022. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.https://doi.org/10.1016/S0959-8049(22)01485-X161 (PB-074) Poster - Overview of patient preference sensitive attributes in eHealth interventions for breast cancer-related fatigue (2022)[Contribution to conference › Abstract] 13th European Breast Cancer Conference, EBCC 2022. Beenhakker, L., Witteveen, A., Wijlens, K. A. E., Siemerink, E., van der Lee, M. L., Bode, C., Siesling, S. & Vollenbroek-Hutten, M. M. R.https://doi.org/10.1016/S0959-8049(22)01488-5

Research profiles

PERSONALIZED CANCER TREATMENT AND CARE (PARTNR) PLATFORM

One in seven women in the Netherlands will be diagnosed with breast cancer at some point in her life. Up to 90% of the patients experience some form of cancer-related fatigue (CRF) after diagnosis and for 30%, this fatigue remains problematic up to 10 years after diagnosis. As fatigue is a multi-dimensional problem, the patient should be assessed holistically. Early treatment is important, to keep it from becoming chronic. Based on the holistic patient profile, a personalized advice for an intervention against CRF can be given. In the PARTNR project, an intelligent self-learning system for these patients is developed, combining medical data with data on daily-life functioning to provide a personalized recommendation for an intervention against CRF.

The Biomedical Signals and Systems group coordinates and leads the project, which is a collaboration between the University of Twente, ZiekenhuisGroep Twente (ZGT), Helen Dowling Institute (HDI), Roessingh rehabilitation centre, Roessingh Research and Development (RRD), Netherlands Comprehensive Cancer Organisation (IKNL), Evidencio, Ivido and the University Medical Centre of Groningen (UMCG). Also, two patient advocates from the Dutch Breast Cancer Association (BVN) give their advice.

This research is supported by the Dutch Cancer Society (KWF) and NWO Domain AES, as part of their joint strategic research programme: Technology for Oncology II. The collaboration project is co-funded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to stimulate public-private partnerships.

https://www.utwente.nl/en/techmed/partnr/