Item Details

abstract

A previous study by Bower et al., found that glioma patients from low-income communities had lower survival rates than patients coming from high-income communities, despite having similar demographic features and clinical and treatment characteristics. Social determinants of health could influence this difference in survival. This study is part one of a larger mixed-methods study that looks to describe social determinants of health across five factors: economic, education, neighborhood environment, social context, and health/healthcare. Social determinants of health were quantified using two validated instruments and supplementary questions developed for the study. The survey was given to 100 glioma patients at the Comprehensive Cancer Center at Wake Forest Baptist Medical Center. Risk scores from the individual instruments were combined to provide an overall social determinant of health risk, and comparison of risks was done between low-income (LIC) and high income (HIC) communities, urban and rural groups, and those in active treatment versus those in surveillance. The factor that presented the highest health risk was the health and healthcare factor, with the mean health risk being significantly higher in the HIC group when compared to the LIC group. Overall, the health and health care factor, alongside the economic factors, presents the highest social determinant of health risks, while the social factor for the total sample, and most of the groups, presents the lowest risk.

subject

AHC

Glioma

PRAPARE

Social determinants of health

contributor

Hutchinson, Angelica (author)

Strowd, Roy E (committee chair)

Weaver, Kathryn (committee member)

Hsu, Fang Chi (committee member)

date

2020-05-29T08:36:15Z (accessioned)

2020-05-29T08:36:15Z (available)

2020 (issued)

degree

Health Disparities in Neuroscience-related Disorders – MS (discipline)

identifier

http://hdl.handle.net/10339/96868 (uri)

language

en (iso)

publisher

Wake Forest University

title

Quantifying Social Determinants of Health in the Glioma Population

type

Thesis