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Innovative data solutions to support community-based prescription medication research

thesis
posted on 22.06.2020, 05:49 by JESSICA ELIZABETH LOCKERY
Medications are designed to help keep older people well, but they can also have unintended adverse effects. Healthy older people may be more resilient to these adverse effects, but investigation is limited by the structure of available data (i.e. free text). This thesis develops the innovative data solutions required to collect and code medication data from healthy, community-dwelling older adults, and uses the resultant data to examine the risk profile of common potentially inappropriate medications and medications with anticholinergic properties.

History

Principal supervisor

John Mcneil

Additional supervisor 1

Robyn Woods

Additional supervisor 2

Michael Ernst

Year of Award

2020

Department, School or Centre

Public Health and Preventive Medicine

Campus location

Australia

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Exports