Trinh Do

Graduate Trainee, University of California, Irvine

1 active project

Heart Failure Quality of Care and Relation to Social Determinant of Health

Background: Multiple studies have shown that patients with heart failure (HF) who experience adverse downstream effects of social determinants of health (SDOH) and healthcare disparities are less able to access care and more likely to experience poor HF outcomes over…

Scientific Questions Being Studied

Background:

Multiple studies have shown that patients with heart failure (HF) who experience adverse downstream effects of social determinants of health (SDOH) and healthcare disparities are less able to access care and more likely to experience poor HF outcomes over time due to the inability to achieve GDMT. The most up to date first-line medications for all populations are ARNIs, beta blockers, aldosterone antagonists, and SGLT2 inhibitors. We will examine adherence to GDMT in US adults with HF and the relation to race/ethnicity (Asian-American, Black, Hispanic, and White) and their socio-economic status (income level, education status, and health insurance).

SCIENTIFIC QUESTIONS BEING STUDIED:

AIM 1: We will examine the adherence to guideline directed medical therapy (GDMT) for heart failure in participants with different ethnicities and socioeconomic statuses.

AIM 2: We will examine predictors of adherence to GDMT in HF among ethnicity and social determinants of health

Project Purpose(s)

  • Disease Focused Research (Heart Failure)

Scientific Approaches

We will use the cohort builder to find US participants aged 18 years and older who have been diagnosed with HF. We would also like to utilize the participants’ provided information and electronic health records to access information about participants’ overall health standing, lifestyle, medication lists, and demographic details.

We will identify the proportion of persons with HF who are on all four recommended medications as compared to 3, 2, or only 1 recommended therapy. We will use the Chi-Square test to compare the extent of adherence to recommended medications to demographic characteristics and social determinants of health. Multiple logistic regression will be used to examine how these factors relate to the odds of being on at least 3 of the recommended therapies.

Anticipated Findings

With our cross-sectional study, we anticipate observing significant differences in GDMT adherence among different races/ethnicities. Also, certain non-white ethnic groups and those of lower socioeconomic status or without health insurance will be less likely to be on GDMT. Our findings hope to make physicians more aware of socio-economic barriers to care that may undermine the ability to achieve GDMT, thus achieving a better quality of life for patients.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Geography
  • Access to Care
  • Education Level
  • Income Level
  • Others

Research Team

Owner:

  • Trinh Do - Graduate Trainee, University of California, Irvine
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