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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Perceptions of family caregivers of non-institutionalized Alzheimer's patients about support groups

Warner, Judy A. January 1999 (has links)
The purpose of this descriptive study was to document and analyze the perceptions of family caregivers of non-institutionalized Alzheimer's patients about the benefits and limitations of Alzheimer's support groups. Survey methodology was used to survey caregivers and support group leaders from eight Alzheimer's support groups in the central Indiana area. Several of the major findings challenge the literature. These findings are as follows: The majority of caregivers attended the support group to receive information. None of the caregivers attended the support group due to frustration, and only one caregiver responded that relieving frustration was a benefit of participating in the support group. A majority of caregivers and support group leaders were positive about mixed (spouses and adult children) support groups. A majority of caregivers responded that they did not have guilt, anger, fears about caregiving in the future, or stress concerning their caregiving responsibilities. The study generated several implications that can be used by planners to improve support groups. / Department of Educational Leadership
12

Illness experience and brain damage : a narrative window on stroke and Alzheimer's disease

Scrooby, Caroline 01 1900 (has links)
In recent years, the move toward a more holistic perspective in health care has led to social scientists investigating psychosocial factors in chronic illness, such as the different languages used by health professionals when talking about nonhealth. However, there has been little inquiry into caregivers' illness experiences of stroke and Alzheimer's disease (AD). This study therefore explores the illness experiences of seven caregivers whose spouses are stroke or AD patients. A hermeneutic approach was adopted and two relatively unstructured interviews were conducted with each caregiver. Using Kleinman's work on illness narratives as an interpretive framework, it was found that - except for people questioning the authenticity of AD caregivers' experiences - similarities in caregivers' experiences outweighed differences. All described the extent to which their lives had been damaged by the illness and their reparation attempts. Critique of the research is presented and the findings' implications for treatment are suggested / M.A. (Clinical Psychology)
13

Illness experience and brain damage : a narrative window on stroke and Alzheimer's disease

Scrooby, Caroline 01 1900 (has links)
In recent years, the move toward a more holistic perspective in health care has led to social scientists investigating psychosocial factors in chronic illness, such as the different languages used by health professionals when talking about nonhealth. However, there has been little inquiry into caregivers' illness experiences of stroke and Alzheimer's disease (AD). This study therefore explores the illness experiences of seven caregivers whose spouses are stroke or AD patients. A hermeneutic approach was adopted and two relatively unstructured interviews were conducted with each caregiver. Using Kleinman's work on illness narratives as an interpretive framework, it was found that - except for people questioning the authenticity of AD caregivers' experiences - similarities in caregivers' experiences outweighed differences. All described the extent to which their lives had been damaged by the illness and their reparation attempts. Critique of the research is presented and the findings' implications for treatment are suggested / M.A. (Clinical Psychology)
14

Mining brain imaging and genetics data via structured sparse learning

Yan, Jingwen 29 April 2015 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / Alzheimer's disease (AD) is a neurodegenerative disorder characterized by gradual loss of brain functions, usually preceded by memory impairments. It has been widely affecting aging Americans over 65 old and listed as 6th leading cause of death. More importantly, unlike other diseases, loss of brain function in AD progression usually leads to the significant decline in self-care abilities. And this will undoubtedly exert a lot of pressure on family members, friends, communities and the whole society due to the time-consuming daily care and high health care expenditures. In the past decade, while deaths attributed to the number one cause, heart disease, has decreased 16 percent, deaths attributed to AD has increased 68 percent. And all of these situations will continue to deteriorate as the population ages during the next several decades. To prevent such health care crisis, substantial efforts have been made to help cure, slow or stop the progression of the disease. The massive data generated through these efforts, like multimodal neuroimaging scans as well as next generation sequences, provides unprecedented opportunities for researchers to look into the deep side of the disease, with more confidence and precision. While plenty of efforts have been made to pull in those existing machine learning and statistical models, the correlated structure and high dimensionality of imaging and genetics data are generally ignored or avoided through targeted analysis. Therefore their performances on imaging genetics study are quite limited and still have plenty to be improved. The primary contribution of this work lies in the development of novel prior knowledge-guided regression and association models, and their applications in various neurobiological problems, such as identification of cognitive performance related imaging biomarkers and imaging genetics associations. In summary, this work has achieved the following research goals: (1) Explore the multimodal imaging biomarkers toward various cognitive functions using group-guided learning algorithms, (2) Development and application of novel network structure guided sparse regression model, (3) Development and application of novel network structure guided sparse multivariate association model, and (4) Promotion of the computation efficiency through parallelization strategies.
15

Special care units: Recreational activities for patients with Alzheimer's disease

Erickson-Taube, Christina Marie 01 January 2005 (has links)
The purpose of this study was to evaluate the recreational activities provided in special care units located in the Inland Empire. The population that this study sought to assist was patients diagnosed with Alzheimer's disease and living in an Alzheimer's special care unit.

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