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About MIC Lab
Competence Centre for Quality Assurance of MI - Motivational Interviewing | Quality Assurance, Coding, and Education
We provide resources for those seeking knowledge about Motivational Interviewing (MI). The purpose of MIC Lab is to promote the application of MI, educate in MI, and support research on MI.
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MIC Lab receives recorded conversations for quality assurance through reliable coding and professional feedback on MI implementation. Coding provides insights into your MI implementation, allowing you to ensure the quality of your practice in relation to MI and generate coding data for research to investigate what is helpful to clients and patients in the conversations.
Coding involves evaluating the utterances of the counselor and/or the client using standardized templates and provides answers to questions such as 'How much MI did I use during the conversation?' and 'How can I improve my application of MI?'.
Reliable coding and professional feedback on conversations.
MIC Lab receives audio-recorded conversations for reliable coding and professional feedback. The conversations can be coded in terms of client utterances and counselor utterances. Coding is evidence-based and follows a manual where utterances are defined in relevant components. The defined components have theoretical relevance in MI and some have been confirmed to have empirical relevance and thus are related to client behavior.
The manual-based coding is done reliably. This means that professional coders maintain their reliability in coding through regular training. The coders' reliability is controlled through regular checks. The reliability in coding is reported on MIC Lab's website. All conversations sent to MIC Lab are evaluated according to the same standards regardless of who at MIC Lab coded the conversation.
Coding and MI
For those who want to learn MI, coding provides detailed information about their own MI performance. Coding can also be done to obtain information about how clients are affected in the conversation.
For an organization seeking to ensure that MI is implemented, coding is necessary for quality assurance. For researchers, coding can generate data that allows the investigation of specific aspects related to outcomes or simply whether MI is implemented.