DocumentCode :
3684245
Title :
Model based methods for the analysis of non-stationary effects of telemonitoring as an intervention for the management of chronic conditions at home
Author :
Branko G. Celler;Ross Sparks
Author_Institution :
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Digital Productivity and Services (DP&
fYear :
2015
Firstpage :
1588
Lastpage :
1591
Abstract :
The monitoring of vital signs for the management of chronic conditions at home have been demonstrated in numerous trials to have a positive impact on the patient´s healthcare outcomes as well as to reduce hospitalization and improve quality of life. The CSIRO has just completed a two year clinical trial designed to evaluate a large number of qualitative and quantitative outcomes of at home telemonitoring. As preliminary data demonstrates that before and after data is not stationary, a model based BACI (Before-After-Control-Impact) design frequently used in environmental and agricultural yield studies, but rarely in clinical trials, has been developed to model the effects of the intervention on healthcare outcomes over time as well as possible secondary effects associate with environmental and seasonal conditions.
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7318677
Filename :
7318677
Link To Document :
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