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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.
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1 to 2 of 2 Research Studies DisplayedAguilera 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