This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

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Prior research has identified that clinicians in the treatment of eating disorders often do not adhere closely to empirically-supported treatments (EST), and are particularly likely to modify Cognitive-Behavioral therapy (CBT). Several reasons for this phenomenon, dubbed "clinician drift", have been identified, including level of clinician training, education, and type of

Prior research has identified that clinicians in the treatment of eating disorders often do not adhere closely to empirically-supported treatments (EST), and are particularly likely to modify Cognitive-Behavioral therapy (CBT). Several reasons for this phenomenon, dubbed "clinician drift", have been identified, including level of clinician training, education, and type of patient care. In addition to the phenomenon of clinician drift, there has been a growing controversy within the field of clinical psychology about the compatibility of ESTs and multiculturalism. Some argue that the standardization inherent to EST resists the concept of cultural adaptability; while others have countered that cultural adaptability is essential in order for empirically supported treatments to remain relevant, ethical, and effective. In order to shed more light on this issue, this study examined how clinicians tend to drift from CBT in the treatment of Latinos suffering from eating disorders, in order to accommodate Latino culture and elements of eating behavior specific to Latino populations. We both attempted to replicate prior findings regarding predictors of clinician drift, as well as build upon the little existing research into the "culturally-motivated clinician drift." It was discovered that no therapist characteristics or client characteristics were predictive of drift. However, the majority of the sample still adapted or abandoned at least part of the CBT treatment. Their responses regarding the weaknesses of CBT for their Spanish-speaking clients can provide insight into how the treatment can be modified for more diverse clients.
ContributorsJosephs, Jamie Elise (Author) / Perez, Marisol (Thesis director) / Luecken, Linda (Committee member) / Davis, Mary (Committee member) / Department of English (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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Description

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.

ContributorsClauss, Colleen (Author) / Hruschka, Daniel (Thesis director) / Davis, Mary (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / Department of Psychology (Contributor)
Created2022-05