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|Title: ||Use of the interRAI Acute Care Assessment Instrument to Predict Adverse Outcomes Among the Hospitalized Elderly|
|Authors: ||Wiens, Heather|
|Approved Date: ||1-Sep-2010 |
|Date Submitted: ||30-Aug-2010 |
Objectives: This research project was undertaken to review two commonly used screening instruments for the elderly who attend at hospital emergency departments in Ontario. These instruments were then contrasted with a new potential screening instrument made up of items drawn from the Minimum Data Set-Acute Care instrument (MDS-AC Version 1_CAN). The hypothesized outcome was better specificity and sensitivity utilizing the newly prepared instrument in predicting at an earlier point if an elderly emergency department patient would become an alternate level of care (ALC) patient. The ability of the screener to predict negative outcomes (delirium, longer length of stay) was also analyzed.
Methods: One dataset from a previous International Resident Assessment Instrument (interRAI) organization study in southern Ontario completed in 2000 was utilized to inform this research. Each of the commonly used screening instruments was crosswalked to the MDS-AC items, then both univariate and bivariate analyses were completed. Three research questions were then posed. By testing various logistic regression models, the research looked to establish whether the newly developed instrument would be able to perform comparably to the other two currently-used instruments, and whether it would be more effective in predicting ALC status and particular adverse patient outcomes.
Results: The newly-developed instrument was found to perform more accurately. While several variables were tested, a core number were found to be more strongly predictive of future need for ALC status.
Conclusions: Future research in this area is recommended.|
|Program: ||Health Studies and Gerontology|
|Department: ||Health Studies and Gerontology|
|Degree: ||Master of Science|
|Appears in Collections:||Faculty of Applied Health Sciences Theses and Dissertations |
Electronic Theses and Dissertations (UW)
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