Text data mining of aged care accreditation reports to identify risk factors in medication management in Australian residential aged care homes

Authors

Tao Jiang, University of WollongongFollow
Siyu Qian, University of WollongongFollow
David M. Hailey, University of WollongongFollow
Jun Ma, University of WollongongFollow
Ping Yu, University of WollongongFollow

RIS ID

115839

Publication Details

Jiang, T., Qian, S., Hailey, D. M., Ma, J. & Yu, P. (2017). Text data mining of aged care accreditation reports to identify risk factors in medication management in Australian residential aged care homes. 16th World Congress on Medical and Health Informatics (MedInfo2017) (pp. 892-895). United States: International Medical Informatics Association (IMIA) and IOS Press.

Abstract

This study aimed to identify risk factors in medication management in Australian residential aged care (RAC) homes. Only 18 out of 3,607 RAC homes failed aged care accreditation standard in medication management between 7th March 2011 and 25th March 2015. Text data mining methods were used to analyse the reasons for failure. This led to the identification of 21 risk indicators for an RAC home to fail in medication management. These indicators were further grouped into ten themes. They are overall medication management, medication assessment, ordering, dispensing, storage, stock and disposal, administration, incident report, monitoring, staff and resident satisfaction. The top three risk factors are: “ineffective monitoring process” (18 homes), “noncompliance with professional standards and guidelines” (15 homes), and “resident dissatisfaction with overall medication management” (10 homes).