National Healthcare Quality and Disparities Report
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- (-) Chronic Conditions (5)
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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 5 of 5 Research Studies DisplayedGlynn A, Hernandez I, Roberts ET
Consequences of forgoing prescription drug subsidies among low-income Medicare beneficiaries with diabetes.
This study’s objective was to estimate the take-up of the Medicare Part D Low-Income Subsidy (LIS) among Medicare beneficiaries with diabetes and examine differences in out-of-pocket costs and prescription drug use between LIS enrollees and LIS-eligible non-enrollees. Data from the Health and Retirement Study linked to Medicare administrative data from 2008 to 2016 was used. The authors first estimated LIS take-up stratified by income (≤100% of the Federal Poverty Level [FPL] and >100% to ≤150% of FPL). Second, to assess the consequences of forgoing the LIS among near-poor beneficiaries (incomes >100% to ≤150% of FPL), they conducted propensity score-weighted regression analyses to compare out-of-pocket costs, prescription drug use, and cost-related medication non-adherence among LIS enrollees and LIS-eligible non-enrollees. Among Medicare beneficiaries with diabetes, 68.1% of those considered near-poor (incomes >100% to ≤150% of FPL) received the LIS, compared to 90.3% of those with incomes ≤100% of FPL. Among near-poor beneficiaries, LIS-eligible non-enrollees incurred higher annual out-of-pocket drug spending ($518], filled 7.3 fewer prescriptions for diabetes, hypertension, and hyperlipidemia drugs, and were 8.9 percentage points more likely to report skipping drugs due to cost. all compared to LIS enrollees.
AHRQ-funded; HS026727.
Citation: Glynn A, Hernandez I, Roberts ET .
Consequences of forgoing prescription drug subsidies among low-income Medicare beneficiaries with diabetes.
Health Serv Res 2022 Oct;57(5):1136-44. doi: 10.1111/1475-6773.13990..
Keywords: Medication, Diabetes, Chronic Conditions, Low-Income, Medicare, Healthcare Costs
McCoy RG, Van Houten HK, Deng Y
Comparison of diabetes medications used by adults with commercial insurance vs Medicare Advantage, 2016 to 2019.
Investigators sought to compare trends in initiation of treatment with GLP-1RA, SGLT2i, and DPP-4i by older adults with type 2 diabetes insured by Medicare Advantage vs commercial health plans. They found that Medicare Advantage beneficiaries may be less likely than commercially insured beneficiaries to be treated with newer medications to lower glucose levels, with greater disparities among lower-income patients. They recommended further investigation of nonclinical factors contributing to treatment decisions and efforts to promote greater equity in diabetes management.
AHRQ-funded; HS025164.
Citation: McCoy RG, Van Houten HK, Deng Y .
Comparison of diabetes medications used by adults with commercial insurance vs Medicare Advantage, 2016 to 2019.
JAMA Netw Open 2021 Feb;4(2):e2035792. doi: 10.1001/jamanetworkopen.2020.35792..
Keywords: Elderly, Diabetes, Chronic Conditions, Medication, Medicare, Health Insurance, Disparities, Low-Income
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
Quan J, Lee AK, Handley MA
Automated telephone self-management support for diabetes in a low-income health plan: a health care utilization and cost analysis.
The objective was to determine whether automated telephone self-management support for low-income, linguistically diverse health plan members with diabetes affects health care utilization or cost. It found no significant differences in emergency department visits and hospitalizations or in costs.
AHRQ-funded; HS020684; HS017261; HS022561.
Citation: Quan J, Lee AK, Handley MA .
Automated telephone self-management support for diabetes in a low-income health plan: a health care utilization and cost analysis.
Popul Health Manag 2015 Dec;18(6):412-20. doi: 10.1089/pop.2014.0154.
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Keywords: Diabetes, Chronic Conditions, Patient Self-Management, Low-Income, Healthcare Costs