National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Access to Care (1)
- Chronic Conditions (2)
- Diabetes (3)
- Disparities (1)
- Elderly (1)
- Health Information Technology (HIT) (3)
- Health Promotion (1)
- (-) Low-Income (4)
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- Patient and Family Engagement (1)
- Patient Self-Management (2)
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- (-) Telehealth (4)
- Vulnerable Populations (1)
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 4 of 4 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
Mayberry LS, Lyles CR, Oldenburg B
mHealth interventions for disadvantaged and vulnerable people with type 2 diabetes.
The authors evaluate the impact of diabetes self-management interventions delivered via mobile device and/or Internet on glycemic control of disadvantaged/vulnerable adults with type 2 diabetes. They found evidence suggesting that digital interventions can improve diabetes control, healthcare utilization, and healthcare costs. More research to substantiate these early findings is recommended; the authors suggest that many issues remain in order to optimize the impact of digital interventions on the health outcomes of disadvantaged/vulnerable persons with diabetes.
AHRQ-funded; HS022408; HS025429.
Citation: Mayberry LS, Lyles CR, Oldenburg B .
mHealth interventions for disadvantaged and vulnerable people with type 2 diabetes.
Curr Diab Rep 2019 Nov 25;19(12):148. doi: 10.1007/s11892-019-1280-9.
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Keywords: Diabetes, Vulnerable Populations, Patient Self-Management, Telehealth, Health Information Technology (HIT), Patient-Centered Healthcare, Low-Income, Chronic Conditions
Mayberry LS, Berg CA, Harper KJ
The design, usability, and feasibility of a family-focused diabetes self-care support mHealth intervention for diverse, low-income adults with type 2 diabetes.
Through user-centered design and iterative usability/feasibility testing, the researchers developed a mobile Health intervention for disadvantaged adults with type 2 diabetes (T2D) called FAMS. FAMS delivers phone coaching to set self-care goals and improve patient participant's (PP) ability to identify and address family actions that support/impede self-care. PPs reported FAMS increased self-care and both PPs and support persons reported FAMS improved support for and communication about diabetes.
AHRQ-funded; HS022990.
Citation: Mayberry LS, Berg CA, Harper KJ .
The design, usability, and feasibility of a family-focused diabetes self-care support mHealth intervention for diverse, low-income adults with type 2 diabetes.
J Diabetes Res 2016;2016:7586385. doi: 10.1155/2016/7586385.
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Keywords: Diabetes, Low-Income, Patient and Family Engagement, Patient Self-Management, Telehealth