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Implementing MDET: Evaluating adaptations and effectiveness1516the limitation it imposes on a client%u2019s freedom (Frederiks et al., 2017). New to the CCA, in comparison with the Special Admission Act, was that all care organisations were obliged to have plans for reducing involuntary care, following a step-by-step plan with multidisciplinary consultation which is part of CCA. MDET provides organisations a method for complying with this obligation. The complexity of the long-term intellectual disability care context, where care is administered by multiple professionals across various aspects of a client%u2019s life, poses challenges for care organisations when it comes to implementing multi-component methods such as MDET. When implementing innovations organisations might need to change policies and work processes (May et al., 2016). Furthermore, care professionals might need to change their behaviour and work routines (Nilsen et al., 2012). Processes of implementing innovations and scaling out these innovations to other organisations may be challenged by the degree of applicability and fit of the innovation to these contexts. Also, care professionals%u2019 resistance to the innovation, quality of care dilemmas, and a lack of available resources in organisations could be hindering factors in implementation processes (Bisschops et al., 2023; Voss et al., 2021). The degree to which components of innovations can be adapted to overcome challenges in implementation, without impeding effectiveness, is called the plasticity of the method (May et al., 2016). When scaling out MDET to other organisations, coordinators tasked with implementing MDET might need to tailor the method to align with the work structures, relations and routines within each specific organisation (Bisschops et al., 2022). On the other hand, organisations might put effort in changing these work structures, relations and routines to support their professionals in implementing MDET, which is called elasticity (May et al., 2016). By examining what is done in practice, researchers might be able to distinguish between adaptations that are necessary to improve the fit of an innovation to different contexts, and changes that undermine the fidelity of the innovation (Chambers & Norton, 2016; Moore et al., 2015). Therefore, besides examining which adaptations were made to the initial version of MDET, testing the effectiveness of adapted versions of MDET is necessary.