National Healthcare Quality and Disparities Report
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- Access to Care (1)
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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 DisplayedPatel SA, Krasnow M, Long K
Excess 30-day heart failure readmissions and mortality in black patients increases with neighborhood deprivation.
Researchers examined whether neighborhood environment modifies the disparity in 30-day heart failure (HF) readmissions and mortality between Black and White patients in the Southeastern United States. They created a geocoded retrospective cohort of patients hospitalized for acute HF from 2010-2018 within Emory Healthcare. They found that excess 30-day HF readmissions and mortality were present among Black patients in every neighborhood strata and increased with progressive neighborhood socioeconomic deprivation.
AHRQ-funded; HS026081.
Citation: Patel SA, Krasnow M, Long K .
Excess 30-day heart failure readmissions and mortality in black patients increases with neighborhood deprivation.
Circ Heart Fail 2020 Dec;13(12):e007947. doi: 10.1161/circheartfailure.120.007947..
Keywords: Heart Disease and Health, Cardiovascular Conditions, Hospital Readmissions, Racial and Ethnic Minorities, Mortality, Social Determinants of Health, Low-Income, Disparities
Joyce NR, Pfeiffer MR, Zullo AR
Individual and geographic variation in driver's license suspensions: evidence of disparities by race, ethnicity and income.
Using data from the New Jersey Safety Health Outcomes data warehouse 2004-2018, the authors compared characteristics of suspended drivers, their residential census tract, as well as access to public transportation and jobs, by reason for the suspension. They found that 91% of license suspensions were for non-driving-related events, with the most common reason for a suspension being failure to pay a fine. Non-driving-related suspended drivers lived in census tracts with a lower household median income, higher proportion of black and Hispanic residents and higher unemployment rates, but also better walkability scores and better access to public transportation and jobs. They recommended additional work to determine what effect this has for the social and economic well-being of suspended drivers.
AHRQ-funded; HS022998.
Citation: Joyce NR, Pfeiffer MR, Zullo AR .
Individual and geographic variation in driver's license suspensions: evidence of disparities by race, ethnicity and income.
J Transp Health 2020 Dec;19. doi: 10.1016/j.jth.2020.100933..
Keywords: Racial and Ethnic Minorities, Disparities, Low-Income, Vulnerable Populations, Social Determinants of Health
Roberts 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
Jannat-Khah DP, Khodneva Y, Bryant K
Depressive symptoms do not discriminate: racial and economic influences between time-varying depressive symptoms and mortality among REGARDS participants.
This study examined whether time-varying depressive symptoms (TVDS) predict mortality and if racial and income differences moderate the association in a large cohort. The cohort from the REGARDS study was used to look at that determination. The REGARDS study used community-dwelling U.S. adults aged 45 years or older. They found that there was similar and statistically significant differences with white, black, and low-income ($35,000 or less) participants for the association between TVDS and mortality. High-income participants were found to have a lower hazard.
AHRQ-funded; HS025198.
Citation: Jannat-Khah DP, Khodneva Y, Bryant K .
Depressive symptoms do not discriminate: racial and economic influences between time-varying depressive symptoms and mortality among REGARDS participants.
Ann Epidemiol 2020 Jun;46:31-40.e2. doi: 10.1016/j.annepidem.2020.04.004..
Keywords: Depression, Behavioral Health, Racial and Ethnic Minorities, Cardiovascular Conditions, Cancer, Low-Income, Social Determinants of Health, Mortality