Abstract
Adverse drug events are a primary cause of hospitalization in the elderly. Nearly 70% of the $177.4 billion dollars spent on drug related morbidity and mortality in the U.S. is due to hospitalizations. Polypharmacy, inappropriate medications or medication regimen complexity have all been implicated as precursors to adverse drug events and as indicators of high risk medication regimens. Understanding the relationship between medication regimens and readmission is important when evaluating potential errors in administration, risk-benefit ratios, and readmission risk. However, due to definitional and measurement issues, the high risk medication regimen remains an elusive concept. This study characterizes medication regimens, defines high risk medication regimens, and determines if high risk medication regimens predict re-hospitalization in home healthcare clients over age 65.
Sigma Membership
Non-member
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Other
Research Approach
Other
Keywords:
Geriatrics, Home Healthcare, Medication Complexity, Medication Management, Polypharmacy
Advisor
Christine Mueller
Second Advisor
Bonnie Westra
Degree
PhD
Degree Grantor
University of Minnesota
Degree Year
2010
Recommended Citation
Dierich, Mary T., "High risk medication regimens and medication related predictors of hospital readmission in elderly home care patients" (2024). Dissertations. 1646.
https://www.sigmarepository.org/dissertations/1646
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2024-06-14
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 3481576; ProQuest document ID: 907106495. The author still retains copyright.