Please use this identifier to cite or link to this item: http://hdl.handle.net/11054/1325
Title: Delirium: what is the impact on treatment following stroke and how can we predict it?
Author: Johnson, Damian
Sahathevan, Ramesh
Maylin, Erin
Hayes, Linley
Hair, Casey
Brodtmann, Amy
Kraemer, Thomas
Lau, Mandy
Parsons, Mark
Thijs, Vincent
Issue Date: 2018
Conference Name: Ballarat Health Services 2018 Annual Research Symposium: research partnerships for population, people and patients; celebrating our research partnerships with the community in the Grampians region
Conference Date: November 29th
Conference Place: Ballarat
Abstract: Background Delirium is a neglected, yet common, complication of stroke. While there is clear evidence that delirium negatively impacts mortality and morbidity in stroke survivors, it is unknown how it affects participation in Allied Health, which are aimed at regaining and improving functional ability following a stroke. Objectives/Aims To undertake a literature review to determine the impact of delirium on participation in allied health interventions. To conduct an external validation of a delirium prediction tool (DPT) in an acute stroke population as developed by Oldenbeuving et al (2014). Method Systematic review of the impact of delirium on post-stroke rehabilitation was undertaken. Due to a lack of publications in this population, the search was expanded to include all admission types. The clinical study is an inpatient, cross-sectional observational study currently being conducted at the Ballarat Base Hospital, with Austin Hospital also involved. Results The literature review identified two articles that both suggested that delirium negatively impacts participation in allied health interventions. The clinical study has so far only involved a small population of patients and we plan to present preliminary findings. Implications/Outcomes for Planned Research Project The Literature review has identified an area of need for further research, to improve our understanding of the interplay between a common complication and a key management aspect following acute stroke. If the prediction tool is found to reliably predict risk of delirium, it could be incorporated into standard stroke care, allowing for interventions to minimise the risk and impact of delirium. Final Thoughts We would aim to update on our literature review, as well as our progress with the clinical study which was presented at the BHS Research Week in 2017
URI: http://hdl.handle.net/11054/1325
Internal ID Number: 01282
Health Subject: ALLIED HEALTH PREVENTIONS
DELIRIUM PREDICTION TOOL
RISK OF DELIRIUM
Type: Conference
Presentation
Appears in Collections:Research Output

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