Journal article

Validity of algorithms for identifying five chronic conditions in MedicineInsight, an Australian national general practice database

Alys Havard, Jo-Anne Manski-Nankervis, Jill Thistlethwaite, Benjamin Daniels, Rimma Myton, Karen Tu, Kendal Chidwick



BACKGROUND: MedicineInsight is a database containing de-identified electronic health records (EHRs) from over 700 Australian general practices. It is one of the largest and most widely used primary health care EHR databases in Australia. This study examined the validity of algorithms that use information from various fields in the MedicineInsight data to indicate whether patients have specific health conditions. This study examined the validity of MedicineInsight algorithms for five common chronic conditions: anxiety, asthma, depression, osteoporosis and type 2 diabetes. METHODS: Patients' disease status according to MedicineInsight algorithms was benchmarked against the recording of diagnos..

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University of Melbourne Researchers


Funding Acknowledgements

The study was funded by the Australian Government Department of Health. The funding body had no role in the design of the study, data collection, analysis or interpretation, nor in writing the manuscript. KT receives a Research Scholar Award from the Department of Family and Community Medicine at the University of Toronto.