There is variation in coding of stroke admissions in the administrative data compared with the Australian Stroke Clinical Registry clinician-assigned stroke diagnosis. It has been shown that coding discrepancies between stroke types, namely ischaemic stroke and unspecified stroke, were the most common reasons for coded stroke diagnosis discordance in the administrative data. The student will be working within the Translational Public Health & Evaluation Division from Monash University to: • evaluate published evidence related to education programs for coding of diagnoses (phase 1) • undertake a validation study comparing coding by a neurologist with access to brain imaging results and medical record documentation (phase 2) • develop, evaluate and validate an on-line national education program for the coding of stroke discharge diagnoses recorded in the administrative datasets in Australia (phase 3) After obtaining ethics approval, the student will access large, linked databases and will be expected to complete a systematic review and conduct data analysis. The student is expected to summarise the work completed and their contributions to the research in a thesis by publication. With supportive supervision, the student will develop the following skills and experience during the research program: • Public Health Research • Basic knowledge of health evaluation • Ability to apply for ethics approval • Conduct a systematic literature review • Publication in high level scientific journals The project is most suitable for a PhD degree, however, modification to suit the requirements of a Masters by Research may be considered.
Coding; stroke; education; admissions; diagnosis; evaluation; ischaemic stroke
School of Clinical Sciences at Monash Health / Hudson Institute of Medical Research » Medicine - Monash Medical Centre
Masters by research
Top-up scholarship funding available
Monash Medical Centre Clayton