Browsing by Subject "Omaha System"

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    Data-driven knowledge discovery of intervention patterns for older adults with and without end-of-life care interventions using visualization techniques
    (2022-08) Moore, Derek
    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.
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    Picturing Patterns in Whole-Person Health: Leveraging Visualization Techniques with Structured Consumer-Generated mHealth Data
    (2018-12) Austin, Robin
    Cardiovascular disease (CVD) is a leading cause of death in women. In cardiac care-management, women have experienced being seen “as the disease” rather than as a whole person. Current methods are lacking to better understand a whole person perspective to include strengths, challenges, and needs. Health information technology (HIT) holds promise for capturing data that represents the whole-person perspective. A literature review identified that women with cardiovascular disease have strengths and would like their strengths used as part of managing care. A consumer-facing application, MyStrengths+MyHealth app, was developed to enable self-report of strengths, challenges, and needs using a consumer-facing version of the Omaha System, a multi-disciplinary standardized health terminology. The Omaha System problem concept, Circulation, was used as a surrogate for women with cardiovascular disease. Participants (N=604) used the MSMH app at Midwestern state fair and women with Circulation signs/symptoms (n=80) were matched to an equal number of women without Circulation signs/symptoms. Data generated by participants were analyzed using descriptive statistics and data visualizations techniques to evaluate and compare standardized strengths, challenges, and needs for women with Circulation signs/symptoms. This study revealed women with Circulation signs/symptoms had more strengths, challenges, and needs compared to women without Circulation signs/symptoms. Data visualizations techniques detected differing patterns in the data for women with and without Circulation signs/ symptoms. Future research is needed to validate these findings and extend this research to other populations and programs. This research creates a foundation for what is possible using data visualizations to enhance understanding of consumer-generated health data.