Charity Hilton

Project Personnel, Georgia Institute of Technology

3 active projects

v6 - Health Equity IRAD

We intend to perform an analysis to see the impact on health outcomes and status when socioeconomic status (income, education, employment) is controlled for, but other factors are variable, such as race, ethnicity, etc. Our initial analysis will be testing…

Scientific Questions Being Studied

We intend to perform an analysis to see the impact on health outcomes and status when socioeconomic status (income, education, employment) is controlled for, but other factors are variable, such as race, ethnicity, etc. Our initial analysis will be testing the hypothesis on different diseases and see if there are patterns among groups with similar SES that result in different health outcomes. The initial goal will be to see if we can reproduce this study (Collin, L. J., Jiang, R., Ward, K. C., Gogineni, K., Subhedar, P. D., Sherman, M. E., ... & McCullough, L. E. (2019). Racial disparities in breast cancer outcomes in the metropolitan Atlanta area: new insights and approaches for health equity. JNCI cancer spectrum, 3(3), pkz053.). We'll also look at other factors available in AoU to see if we can identify any of the drivers of these disparities.

Project Purpose(s)

  • Population Health
  • Methods Development

Scientific Approaches

We are planning to try different regression methods and possibly other methods such as clustering. We'll use the tools available in Python in the AoU notebooks. We may join other datasets publicly available such as the heat vulnerability index, social vulnerability index, and others from sources such as AHRQ, CDC, and others to see if patterns tied to geospatial attributes also have an impact.

Anticipated Findings

If our results are successful, we will aim to contribute our general methodologies back to the field, and hope to aid the general community in investigating Health Equity and SDOH and what some of the key drivers of health disparities might be.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jon Duke - Mid-career Tenured Researcher, Georgia Institute of Technology
  • Charity Hilton - Project Personnel, Georgia Institute of Technology

Collaborators:

  • Sheila Isbell - Mid-career Tenured Researcher, Georgia Institute of Technology
  • Elizaveta Latash - Early Career Tenure-track Researcher, Georgia Institute of Technology
  • Andrew Stevens - Project Personnel, Georgia Institute of Technology

v4 - T8 - Health Analytics

We are evaluating the All of Us dataset to explore the underutilization of population based surveys to gather public health data regarding chronic health conditions, health related risk behaviors, and use of medical services. We seek to use the All…

Scientific Questions Being Studied

We are evaluating the All of Us dataset to explore the underutilization of population based surveys to gather public health data regarding chronic health conditions, health related risk behaviors, and use of medical services. We seek to use the All of Us data to compare the results across various health demographics to established US-based nationwide telephone surveys .

Project Purpose(s)

  • Population Health
  • Methods Development
  • Control Set

Scientific Approaches

We are approaching this problem by using US-based population health data datasets, basic analytical methods and visualization techniques provided in standard programming interfaces (like Python, Jupyter Notebooks, etc.), and additional software toolchains to parse rapidly through large datasets such as All Of Us.

Anticipated Findings

We anticipate that from the comparison we conduct with All Of Us, we will be able to identify if electronic health record and claims data provided by All Of Us can be used to complement or augment nationwide population health survey instruments to identify health inequities and populations requiring special attention and support for maintaining their health.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jon Duke - Mid-career Tenured Researcher, Georgia Institute of Technology
  • Jacob Zelko - Project Personnel, Georgia Institute of Technology
  • Charity Hilton - Project Personnel, Georgia Institute of Technology

Collaborators:

  • Richard Boyd - Other, Georgia Institute of Technology
  • Malina Hy - Undergraduate Student, Georgia Institute of Technology
  • Alexandra Trani - Project Personnel, Georgia Institute of Technology
  • Andrew Hutchison - Undergraduate Student, Georgia Institute of Technology

v5 - T8 - Health Analytics

We are evaluating the All of Us dataset to explore the underutilization of population based surveys to gather public health data regarding chronic health conditions, health related risk behaviors, and use of medical services. We seek to use the All…

Scientific Questions Being Studied

We are evaluating the All of Us dataset to explore the underutilization of population based surveys to gather public health data regarding chronic health conditions, health related risk behaviors, and use of medical services. We seek to use the All of Us data to compare the results across various health demographics to established US-based nationwide telephone surveys .

Project Purpose(s)

  • Population Health
  • Methods Development
  • Control Set

Scientific Approaches

We are approaching this problem by using US-based population health data datasets, basic analytical methods and visualization techniques provided in standard programming interfaces (like Python, Jupyter Notebooks, etc.), and additional software toolchains to parse rapidly through large datasets such as All Of Us.

Anticipated Findings

We anticipate that from the comparison we conduct with All Of Us, we will be able to identify if electronic health record and claims data provided by All Of Us can be used to complement or augment nationwide population health survey instruments to identify health inequities and populations requiring special attention and support for maintaining their health.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

  • Jon Duke - Mid-career Tenured Researcher, Georgia Institute of Technology
  • Jacob Zelko - Project Personnel, Georgia Institute of Technology
  • Charity Hilton - Project Personnel, Georgia Institute of Technology

Collaborators:

  • Richard Boyd - Other, Georgia Institute of Technology
  • Malina Hy - Undergraduate Student, Georgia Institute of Technology
  • Alexandra Trani - Project Personnel, Georgia Institute of Technology
  • Andrew Hutchison - Undergraduate Student, Georgia Institute of Technology
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