Data-driven knowledge discovery of intervention patterns for older adults with and without end-of-life care interventions using visualization techniques
2022-08
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Data-driven knowledge discovery of intervention patterns for older adults with and without end-of-life care interventions using visualization techniques
Authors
Published Date
2022-08
Publisher
Type
Thesis or Dissertation
Abstract
The majority of hospice care in the United States (also known as end-of-life care [EOLC]) is home-based, provided by public health and home care agencies. Worldwide, palliative and EOLC care are often combined and can be provided years before death. In the United States, however, as most reimbursement for EOLC is limited to six months before death, palliative care services are often separate from EOLC. A systematic review of home-based palliative care outcomes in the United States found strong evidence for lower hospitalization rates and lower costs and limited evidence for high patient satisfaction, increased dying at home, and quality of life improvement. To study home-based EOLC, data from 1167 clients with and EOLC intervention were matched 1:1 with older adult health care clients by gender and age using the Omaha System. Those with an EOLC intervention had 41.6% more total interventions, 59.0% more total visits, and 25.6% fewer problems than those without an EOLC intervention. Data visualization techniques from exploratory data analysis were then used to compare this data to standardized guidelines. Some overlap between guidelines and data was found, but granularity increased when terms were combined, showing the ability of the Omaha System terminology to adapt to the level of granularity needed, making it ideal for intervention dataset analysis. This study leveraged Omaha System data from practice settings to discover novel EOLC intervention patterns for older adults. These methods may be used to generate new practice-based evidence for other populations, settings, and practices.
Description
University of Minnesota Ph.D. dissertation. August 2022. Major: Nursing. Advisor: Karen Monsen. 1 computer file (PDF); vi, 105 pages.
Related to
Replaces
License
Collections
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Suggested citation
Moore, Derek. (2022). Data-driven knowledge discovery of intervention patterns for older adults with and without end-of-life care interventions using visualization techniques. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/243141.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.