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

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conference contribution
posted on 2024-11-14, 09:11 authored by Tao Jiang, Siyu Qian, David Hailey, Jun Ma, Ping YuPing Yu
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).

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Citation

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.

Parent title

Studies in Health Technology and Informatics

Volume

245

Pagination

892-895

Language

English

RIS ID

115839

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