Darcy Ummels

174 | Addendum provide life ‐ style guidance and require insight into a patient's physical activity level for their clinical reasoning. For example the new guideline for physiotherapist for patients with chronic obstructive pulmonary disease (COPD), recommends to us an activity tracker to indicate whether a patient is sufficient active and describes that physiotherapists should educate patients about the importance of sufficient physical activity in relation with a healthy lifestyle 12 . Studies show that activity trackers also enhance a patient’s self ‐ management and self ‐ efficacy regarding physical activity. 13,14 Self ‐ monitoring could lead to improved coping, realistic goal setting, and improved quality of life for patients. 15 However, despite their advantages and potential, activity trackers are only sporadically used in healthcare. This dissertation contributes insight and tools to use activity trackers in daily clinical healthcare practice in a meaningful way. This dissertation was part of the Brightlands Innovation Programme Limburg Meet (LIME) 17 , a program that facilitates smarter measurement methods and more efficient data collection for better care and health. Within this programme, this project was part of the theme of ‘personalised wearables’ along with another doctoral project (the Psymate). Both projects focused on implementing health technology tools in daily clinical practice. Because these projects overlapped, a collaboration was established. The results of both projects will be used for further development of the LIME programme. Further, a network between researchers, entrepreneurs, civilians and educators developed within LIME. This allowed us to collaborate, share and gain knowledge with several different disciplines throughout the course of this dissertation and continues to do so in further research. Target population and other stakeholders The results of this dissertation are relevant to several stakeholders: (older) Adults with or without a chronic disease, healthcare professionals, educators and students, researchers, and technology manufacturers. (Older) Adults with or without a chronic disease The knowledge obtained from this dissertation can benefit (older) adults with or without a chronic disease. The MISS Activity was designed specifically with and for older adults with or without a chronic disease. Results indicate that the algorithm developed for the MISS Activity can more validly measure step count and physical activity during activities of daily living compared to the three selected commercially available activity trackers. Older adults with or without a chronic disease experienced the user interface of the MISS Activity as feasible and could use it without support from third parties (e.g.,