National Healthcare Quality and Disparities Report
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedRoberts ET, Mehrotra A
Assessment of disparities in digital access among Medicare beneficiaries and implications for telemedicine.
In this study, the investigators examined disparities in digital access (ie, access at home to technology that enables video telemedicine visits) among Medicare beneficiaries by socioeconomic and demographic characteristics. The investigators concluded that the proportion of beneficiaries who lacked digital access was higher among those with low socioeconomic status, those 85 years or older, and in communities of color.
AHRQ-funded; HS026727.
Citation: Roberts ET, Mehrotra A .
Assessment of disparities in digital access among Medicare beneficiaries and implications for telemedicine.
JAMA Intern Med 2020 Oct;180(10):1386-89. doi: 10.1001/jamainternmed.2020.2666..
Keywords: Elderly, Medicare, Telehealth, Health Information Technology (HIT), Disparities, Access to Care, Social Determinants of Health, Low-Income, Racial and Ethnic Minorities
Aguilera A, Figueroa CA, Hernandez-Ramos R
mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE study.
In this randomized controlled trial, the researchers’ goal is to examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. They will compare passively collected daily step counts, self-reported PHQ-8 and most recent hemoglobin A1c from medical records at baseline and at intervention completion at 6-month follow-up. They plan to submit manuscripts describing their user-designed methods and testing of the adaptive learning algorithm and will submit the results of the trial for publication in peer-reviewed journals and presentations at scientific meetings.
AHRQ-funded; HS025429.
Citation: Aguilera A, Figueroa CA, Hernandez-Ramos R .
mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE study.
BMJ Open 2020 Aug 20;10(8):e034723. doi: 10.1136/bmjopen-2019-034723..
Keywords: Telehealth, Health Information Technology (HIT), Diabetes, Chronic Conditions, Racial and Ethnic Minorities, Low-Income, Health Promotion
Fontil V, McDermott K, Tieu L
Adaptation and feasibility study of a digital health program to prevent diabetes among low-income patients: results from a partnership between a digital health company and an academic research team.
Researchers collaborated with a digital health company to adapt a diabetes prevention program for low-income prediabetes patients at a large safety net clinic. They concluded that underserved prediabetic patients displayed high engagement and satisfaction with a digital diabetes prevention program despite lower digital literacy skills. The collaboration between researchers and a digital health company enabled iterative improvements in technology implementation to address challenges in low-income populations.
AHRQ-funded; HS022408.
Citation: Fontil V, McDermott K, Tieu L .
Adaptation and feasibility study of a digital health program to prevent diabetes among low-income patients: results from a partnership between a digital health company and an academic research team.
J Diabetes Res 2016;2016:8472391. doi: 10.1155/2016/8472391.
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Keywords: Diabetes, Health Information Technology (HIT), Low-Income, Prevention, Health Promotion