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Data Linkage Methods in Manitoba

Ken Turner, Randy Walld, Shelley Derksen · International Journal of Population Data Science · 2018

IntroductionAt the Manitoba Centre for Health Policy (MCHP), we have been performing data linkage for over 25 years. Over time, the Manitoba Population Research Data Repository (MPRDR) has expanded to over 80 datasets. Data linkage methods are key to bringing all this data together for population-based research.
 Objectives and ApproachThe presentation will include a detailed description of the individual steps involved in the data linkage process and provide information about the methods developed and knowledge gained over time at MCHP. We will present different scenarios linking health, education, social and justice data and the choices that are made prior to and during data linkage. The data linkage process and linkage methods, including data validation techniques, will be illustrated with examples from our work.
 ResultsThe presentation will describe the different types of data we have in the MPRDR and illustrate how the data are processed in a de-identified manner so that privacy and confidentiality are maintained.
 The presentation will provide details on the data linkage methods used, dependent on the type of data sources being linked. This involves identifyin

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