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Insights from knowledge exchange in Communities of Practice793timeline. The power of repetition was mentioned to remind support staff that a new way of working is required. Finally, participants mentioned that technical systems should work and that specialists need to be available who can prepare these systems. DiscussionThis study aimed to understand issues affecting implementation in intellectual disability care, especially when implementing methods to reduce involuntary care. In two CoP, tacit knowledge and prior experiences with implementation in intellectual disability care were shared by CoP participants, who were a diverse group of managers, policy staff, expertsby-experience, direct support staff and researchers. The findings reveal valuable exchanges and detailed insight of the issues at hand in long-term intellectual disability care during implementation, such as difficulties with implementing methods in line with the Care and Coercion Act, a quality of care dilemma, and hindering and facilitating factors. Also, ideas to improve implementation were discussed, such as support for organisational change and planning for implementation, which may help care organisation to prepare for future implementation projects.First, it became clear that participants usually were not aware of the existence or content of an implementation plan. Also, making an implementation plan was postponed as the organisation first wanted to test on a small scale whether the innovation would work well. Previous research suggested that making such a plan with clear goals, together with care professionals, and approved by the management or Board, could be relevant (Voss et al., 2021). Based on their experiences, the CoP participants expected that a plan with tailored implementation strategies would be beneficial. This insight aligns with published examples of successful implementation based on such plans (e.g., Van Schijndel-Speet et al., 2013, 2014) and efforts to provide online tools to choose and tailor implementation strategies, such as the CFIR-ERIC tool and the ItFits toolkit (Powell et al., 2015; Vis et al., 2023; Waltz et al., 2019).