Objective: Shared Decision-Making (SDM) as a clinical approach allows patients and physicians to discuss the best treatment options for the patients' improved health outcomes. Over the past two decades, SDM has improved the quality of health by reassuring patients that they have a voice when considering treatment options. The objective of this study is threefold: to examine parents' perceptions of engaging in SDM with their physicians about their treatment options; to engage in the SDM process when their children's mental health conditions were the subject of SDM; and to assess the comfort level of parents engaging in SDM, based upon their highest levels of education. Specifically, the researcher was interested in how parents' racial demographics influenced their involvement in the SDM process. Methods: The researcher reviewed in-depth the 2016-2017 National Survey of Children's Health (NSCH). In that study, interviewers asked parents of different races how they engaged in SDM with their physicians, when discussing their health and their children's mental health issues. The three questions dealt with parents' experiences with SDM and their physicians, parents' experiences with SDM when discussing their children's mental health conditions, and how parents' highest educational attainment might impact their comfort levels in engaging in SDM with their physicians. The researcher conducted a Univariate descriptive statistic, Cronbach Alpha Score, ANOVA, T-test and Tukey poc test to make valid conclusions in answering the question, "How does shared decision-making between patient and physician differ by race?"
If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu.
Master of Arts (M.A.)
College of Sciences
Applied Sociology; Domestic Violence Track
Length of Campus-only Access
Masters Thesis (Open Access)
Headley, Vernon, "The Power Color: Does Shared Decision Making Between Physicians and Patients Differ by Race" (2020). Electronic Theses and Dissertations, 2020-. 228.