Date of Conferral

4-8-2026

Degree

Ph.D.

School

Health Sciences

Advisor

Hadi Danawi

Abstract

Advanced medical technology use among individuals with physical disabilities remains understudied, creating a significant gap in understanding its impact on quality-of-life (QoL) outcomes across demographic and age groups. Guided by the social ecological model, the purpose of this quantitative study was to examine associations between advanced medical technology use, disability status, demographic factors (age, gender, and race/ethnicity), and QoL outcomes using 2017–2018 National Health and Nutrition Examination Survey data. The sample included 9,254 individuals age 6 years and older with physical functional limitations and complete technology-use and QoL data. Advanced medical technology use was significantly associated with improved QoL (p < .001). Disability status demonstrated a statistically significant but modest association with technology use, OR = 0.84, 95% CI [0.83, 0.85], p < .001. Age-stratified analyses indicated that advanced technology use significantly predicted improved QoL among adults aged 20 years and older, OR = 6.90, 95% CI [6.89, 6.91], p < .001, but not among youths aged 6–19 years (p = .929). Gender was a significant predictor of technology use, with females having higher odds than males, OR = 1.07, 95% CI [1.06, 1.08], p < .001. Race/ethnicity was also significantly associated with technology use; compared with non-Hispanic White adults, Mexican American (OR = 0.43, 95% CI [0.42, 0.44], p < .001), other Hispanic (OR = 0.58, 95% CI [0.57, 0.59], p < .001), and non-Hispanic Black adults (OR = 0.79, 95% CI [0.78, 0.80], p < .001) had lower odds of advanced medical technology use. The study may inform health care stakeholders about strategies to promote equitable access to advanced medical assistive technologies for social change

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