Page 56 - PATIENT REGISTRY DATA FOR RESEARCH: A Basic Practical Guide
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Chapter 5 - Summary



                       This e-book/book has sought to provide a brief guide on how to conduct research by

               using data obtained from a patient registry database. It can be a difficult task to deal with


               patient's registry data because it revolves around major ethical issues pertaining to data

               privacy and confidentiality issues (since these are sensitive data about each individual


               patients). In addition, there are numerous variables and each with tons of data in a patient

               registry that have rendered data handling much more difficult than that of the other types of

               survey research. Therefore, this e-book/book attempts to provide an overview of the


               framework for all the steps necessary to be taken by a researcher when conducting research


               using data obtained from a patient registry database. It shall also serve as a simple guideline

               which stipulates all the standard requirements that must be met for the purpose of obviating

               major problems from cropping up during the subsequent statistical analysis of these registry


               data.

                       The scope of this e-book/book is limited to discussion on data acquisition, data


               preparation and approach for statistical analysis only. Hence, this e-book/book will not be

               discussing the report writing which is always the final step in the research process. Since


               patient registry databases can potentially answer dozens of research questions, thus there are

               a myriad of different ways on how to discuss and present findings derived from the statistical

               analyses. As an illustration, this e-book/book has listed at least 33 scientific papers published


               in peer-reviewed journals about different types of research being conducted on data from

               patient registry databases.


                       All these studies had also involved numerous types of patient registries, including

               Adult Diabetes Control and Management (ADCM) Registry 2009 (currently known as


               National Diabetes Registry (NDR)), National Eye Database (NED), The Malaysian National

               Cardiovascular Disease Database (NCVD) registry, National Orthopaedic Registry Malaysia
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