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- Creators: Milovanovic, Jelena
- Creators: Arizona State University. College of Nursing & Healthcare Innovation
- Creators: Zicarelli, John
- Status: Published
Description
Catastrophe events occur rather infrequently, but upon their occurrence, can lead to colossal losses for insurance companies. Due to their size and volatility, catastrophe losses are often treated separately from other insurance losses. In fact, many property and casualty insurance companies feature a department or team which focuses solely on modeling catastrophes. Setting reserves for catastrophe losses is difficult due to their unpredictable and often long-tailed nature. Determining loss development factors (LDFs) to estimate the ultimate loss amounts for catastrophe events is one method for setting reserves. In an attempt to aid Company XYZ set more accurate reserves, the research conducted focuses on estimating LDFs for catastrophes which have already occurred and have been settled. Furthermore, the research describes the process used to build a linear model in R to estimate LDFs for Company XYZ's closed catastrophe claims from 2001 \u2014 2016. This linear model was used to predict a catastrophe's LDFs based on the age in weeks of the catastrophe during the first year. Back testing was also performed, as was the comparison between the estimated ultimate losses and actual losses. Future research consideration was proposed.
ContributorsSwoverland, Robert Bo (Author) / Milovanovic, Jelena (Thesis director) / Zicarelli, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The purpose of the study was to determine the impact of social interaction with children on the symptoms of depression in elderly participants at the John C. Lincoln Adult Day Healthcare center when compared to depressive symptoms in the elderly who do not regularly interact with children. This organization provides care to elderly members of the community in a dignified and stimulating manner. It allows caregivers of participants to take a break from day to day responsibilities while providing the participants with a safe and active environment. It shares premises with the Lincoln Learning Center, which is a care/educational facility for children ages 6 weeks to 12 years of age. The children and the elderly interact one day a week for half an hour in a planned activity in the Adult Day Healthcare Center. The Geriatric Depression Scale- Short Form was used to assess for presence of depressive symptoms in both the control group (those who did not regularly interact with children) and the experimental group (those who did regularly interact with the children). The scale consisted of 15 yes-or-no questions regarding the average emotions the participants experienced in a week. A total of 15 people participated in the study, eight in the control group and seven in the experimental group. Eight of the participants were male, seven were female and they ranged in age from 58 to 96 years old. An independent sample t-test was performed to assess the data for statistical significance.
ContributorsHorneman, Kaitlyn Noelle (Author) / Speer, Therese (Thesis director) / O'Brien, Janet (Committee member) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Purpose: The COVID-19 pandemic government regulations and mandates have caused feelings of overload, isolation, anxiety, depression, and loneliness. This project aimed to evaluate the level of impact of social distancing and homestay mandates on seniors during the COVID-19 pandemic. The knowledge from the data guided the implementation of Information Communication Technology (ICT) as a focused intervention to address loneliness, social
isolation, and depression among seniors.
Methods: Quantitative reviews were employed to assess the impact of ICT on lonely seniors. A convenience sample of 5 seniors aged 65 and up from a local church congregating in worship center located in southwestern United States enrolled in this voluntary pre-and post-educational intervention project. Participants were informed of the confidentiality of the study and that the study had no known risks on participants. The participants willingly signed a consent for the
study. The attendees received two one-hour education sessions on how to use WhatsApp and Zoom as communication strategies. The pre-and post-loneliness scale scores were collected using the Revised UCLA Loneliness Scale as a tool. Results were compared before and after the educational intervention using a paired Wilcoxon signed-rank test.
Results: The results indicate significant reductions in reported loneliness from pre to post intervention (z = -2.02, p = 0.043). These results indicate that using ICT can help address loneliness in the seniors.
Conclusion: Implementing communication strategies such as WhatsApp and Zoom effectively addresses social isolation and loneliness in seniors. The data reveals that integrating electronic communication in the life of the seniors can manage the social isolation problem. Future nursing practices may benefit from the project's data to address loneliness in the seniors.
ContributorsTambala, Sandikonda (Author) / Guthrey, Ann (Thesis advisor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor)
Created2022-05-02
Description
Background and Significance
Falls are considered a problem of increasing proportion for older adults all over the world. Falls account for a large portion of injuries, hospitalizations, and death for persons over 65 years old. Research shows that risk factors for falls are multifactorial and modifiable. As such, falls should not be recognized as a natural part of aging, but as an increasing characteristic of frailty. Patient and caregiver education about how to identify and modify fall risk factors so that injurious falls and recurrent falls can be avoided.
Methods
Telephone interviews were conducted and recorded with employees and residents of an independent living facility about their history and knowledge of falls within the community. Content analysis was conducted to assess for common themes and concerns related to falls.
Results
Five participants, consisting of three residents living in a large HUD housing complex for older adults and two employees who work at the complex were interviewed. Results of the interview show that there is a generalized fear or awareness of the dangers of falling either in the home or within the community, but a lack of awareness of some of the risk factors.
Discussion
By analyzing gaps in knowledge of this housing complex, fall risk education can be tailored to their fall risk concerns and knowledge gaps and possibly help to reduce future falls for older adults.
Keywords: community dwelling, older adults, fall risk
ContributorsMcClain, Danielle (Author) / Uriri-Glover, Johannah (Thesis advisor) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor)
Created2021-05-02
Description
AARP estimates that 90% of seniors wish to remain in their homes during retirement. Seniors need assistance as they age, historically they have received assistance from either family members, nursing homes, or Continuing Care Retirement Communities. For seniors not wanting any of these options, there has been very few alternatives. Now, the emergence of the continuing care at home program is providing hope for a different method of elder care moving forward. CCaH programs offer services such as: skilled nursing care, care coordination, emergency response systems, aid with personal and health care, and transportation. Such services allow seniors to continue to live in their own home with assistance as their health deteriorates over time. Currently, only 30 CCaH programs exist. With the growth of the elderly population in the coming years, this model seems poised for growth.
ContributorsSturm, Brendan (Author) / Milovanovic, Jelena (Thesis director) / Hassett, Matthew (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Economics Program in CLAS (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
A factor accounting for the COVID-19 pandemic was added to a generalized linear model to more accurately predict unpaid claims. COVID-19 has affected not just healthcare, but all sectors of the economy. Because of this, whether or not an automobile insurance claim is filed during the pandemic needs to be taken into account while estimating unpaid claims. Reserve-estimating functions such as glmReserve from the “ChainLadder” package in the statistical software R were experimented with to produce their own results. Because of their insufficiency, a manual approach to building the model turned out to be the most proficient method. Utilizing the GLM function, a model was built that emulated linear regression with a factor for COVID-19. The effects of such a model are analyzed based on effectiveness and interpretablility. A model such as this would prove useful for future calculations, especially as society is now returning to a “normal” state.
ContributorsKossler, Patrick (Author) / Zicarelli, John (Thesis director) / Milovanovic, Jelena (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
Description
The objective of this study is to build a model using R and RStudio that automates ratemaking procedures for Company XYZ’s actuaries in their commercial general liability pricing department. The purpose and importance of this objective is to allow actuaries to work more efficiently and effectively by using this model that outputs the results they otherwise would have had to code and calculate on their own. Instead of spending time working towards these results, the actuaries can analyze the findings, strategize accordingly, and communicate with business partners. The model was built from R code that was later transformed to Shiny, a package within RStudio that allows for the build-up of interactive web applications. The final result is a Shiny app that first takes in multiple datasets from Company XYZ’s data warehouse and displays different views of the data in order for actuaries to make selections on development and trend methods. The app outputs the re-created ratemaking exhibits showing the resulting developed and trended loss and premium as well as the experience-based indicated rate level change based on prior selections. The ratemaking process and Shiny app functionality will be detailed in this report.
ContributorsGilkey, Gina (Author) / Zicarelli, John (Thesis director) / Milovanovic, Jelena (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05