Chapter 9 180 can be used as a single measure of adherence with a score of ³ 45 being adherent. Also, one of the two domains of the RAdMAT-NL can be used when a patient scores much lower on this domain than on the other domain. To also provide patients with more personalized care, a prediction model to predict exercise adherence was developed. With four easily obtained predictors, intention, depression, MRC score, and alliance, the exercise adherence calculator (https://derzis.nu/Calculator/) can be used to calculate the probability of adherence for the individual patient. Based on the outcome and on shared decision-making, the physiotherapist and patient agree on a desired form of clinical supervision. The results of the studies presented provide knowledge for a possible better distribution of healthcare capacity, potentially reducing pressure on healthcare without compromising the effectiveness of PR for the individual patient. The exercise adherence prediction model has potential for clinical utility in patients with COPD following PR for at least one month. Before PATCH can be used more broadly, it is recommended that follow-up research first focusses on broad validation and then on impact analysis. Note This thesis discusses the RAdMAT-NL, the Dutch version of the Rehabilitation Adherence Measure for Athletic Training. For use in practice, another name for this measurement is suggested because the RAdMAT-NL is not used in an athletic training setting. For example, the EASE, Exercise Adherence ScoreE, would be a more appropriate name for an instrument that measures exercise adherence. Since the intention is to apply the EASE in a broader setting and population than just within primary care and in patients with COPD, the name has been limited to naming what the instrument measures. References 1. Bakker, J.H., Therapietrouw; van ervaren belang naar gedeeld belang [Adherence; from perceived importance to shared importance]. 2016, VWS. Available at: https://zoek.officielebekendmakingen.nl/blg-671330.pdf (cited March 18, 2023). 2. World Health Organization, WHO Guideline on Self-Care Interventions for Health and Well-Being. 2021. Geneva: World Health Organization. 3. Sabaté, E., Adherence to long-term therapies. Evidence for action 2003, Geneva: World Health Organization. 4. Wiecek, E., F.S. Tonin, A. Torres-Robles, S.I. Benrimoj, F. Fernandez-Llimos, and V. Garcia-Cardenas, Temporal effectiveness of interventions to improve medication adherence: a network meta-analysis. PLoS One, 2019. 14(3), DOI: 10.1371.journal.pone.0213432.
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