UWSpace is currently experiencing technical difficulties resulting from its recent migration to a new version of its software. These technical issues are not affecting the submission and browse features of the site. UWaterloo community members may continue submitting items to UWSpace. We apologize for the inconvenience, and are actively working to resolve these technical issues.
 

Predictors of Alternate Level of Care within Mental Health Inpatient Units across Ontario

dc.contributor.authorLittle, Jerrica
dc.date.accessioned2016-01-04T16:14:49Z
dc.date.available2016-01-04T16:14:49Z
dc.date.issued2016-01-04
dc.date.submitted2015-12-15
dc.description.abstractPurpose: The main purpose of this study was to identify clinical predictors of alternate level of care (ALC) status within inpatient mental health units across Ontario. In addition, the distribution of ALC days among designated patients, the proportion of patient episodes designated ALC over time, and the demographic and clinical characteristics of mental health inpatients are also described. Methods: This project was conducted via a secondary data analysis of data obtained from the Resident Assessment Instrument – Mental Health (RAI-MH). RAI-MH data was provided by the Ontario Mental Health Reporting System (OMHRS) for the years 2005 to 2014, including information on ALC days. Furthermore, an additional ALC variable was obtained from the Wait Time Information System (WTIS) for the years 2011 to 2013. All analyses were performed using admission episodes only. For the descriptive statistics, rates of ALC designations and odds ratios (OR) were examined across several characteristics, providing a basis for variable selection in the multivariate modeling stage. To determine the clinical predictors of ALC status, a multivariate logistic regression was performed in OMHRS using a 30+ ALC day cut-point. Once the model was ascertained in OMHRS, it was tested again in WTIS and adjusted accordingly, providing a final model for 30+ ALC days. Results: The proportion of ALC episodes designated as ALC over time was low (~3% for 1+ ALC days and ~1% for 30+ ALC days), but the distribution of ALC days across patients was comparatively large (Median = ~20 days). The final logistic regression model for 30+ ALC days identified several predictors of ALC status, including IADL, ADL and cognitive impairment, social isolation, aggression, older age, male sex, speaking a primary foreign language, greater lifetime admissions to a psychiatric hospital, symptoms of depression, positive psychosis and social withdrawal, disorders of childhood/adolescence, intellectual disabilities, and substance use. Conclusions: There are a multitude of risk factors implicated in ALC designations among mental health inpatients in Ontario, indicating that their needs are varied and complex. Policy makers and mental health care practitioners may utilize early predictors of ALC status to introduce treatment interventions and policies that reduce the risk of ALC designations in mental health settings.en
dc.identifier.urihttp://hdl.handle.net/10012/10089
dc.language.isoenen
dc.pendingfalse
dc.publisherUniversity of Waterlooen
dc.subjectAlternate level of careen
dc.subjectinterRAIen
dc.subjectResident Assessment Instrument - Mental Healthen
dc.subjectDelayed dischargesen
dc.subjectOntario Mental Health Reporting Systemen
dc.titlePredictors of Alternate Level of Care within Mental Health Inpatient Units across Ontarioen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Scienceen
uws-etd.degree.departmentSchool of Public Health and Health Systemsen
uws-etd.degree.disciplineHealth Studies and Gerontologyen
uws-etd.degree.grantorUniversity of Waterlooen
uws.comment.hiddenMy previous submission was rejected for the following reasons: 1. Title Page - the word 'By' should appear lower case. 2. Table of Contents – please add sections: Author’s Declaration, Abstract, and Acknowledgements. These errors have been rectified in the new submission.en
uws.contributor.advisorHirdes, John
uws.contributor.affiliation1Faculty of Applied Health Sciencesen
uws.peerReviewStatusUnrevieweden
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Little_Jerrica.pdf
Size:
2.44 MB
Format:
Adobe Portable Document Format
Description:
Master's thesis
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6.17 KB
Format:
Item-specific license agreed upon to submission
Description: