Tonya Lee

Graduate Trainee, University of California, San Diego

3 active projects

SDHA in Eye Conditions - v5 Dataset

We are planning to explore disparities in healthcare access and utilization for patients with eye conditions across different demographic groups. We would like to evaluate risk of developing advanced/severe disease in different eye conditions, and understand how social determinants contribute…

Scientific Questions Being Studied

We are planning to explore disparities in healthcare access and utilization for patients with eye conditions across different demographic groups. We would like to evaluate risk of developing advanced/severe disease in different eye conditions, and understand how social determinants contribute to this risk while adjusting for other known risk factors. We are also interested in understanding the availability of social determinants of health data in this data repository compared to EHR clinical data warehouses alone.

Project Purpose(s)

  • Population Health

Scientific Approaches

We will build cohorts of patients with various eye diseases (i.e. diabetic retinopathy, retinal vein occlusions, glaucoma, etc.). Then we will develop concept sets and extract data on outcomes (i.e. development of complications), as well as predictors including clinical data and social data. We will draw on survey data and EHR data within All of Us. When genomic data and wearable data become available, we are interested in evaluating those data sources as well. We will use statistical modeling and machine learning to generate predictive models.

Anticipated Findings

We anticipate that there may be differential risk for developing complications based on disparities in healthcare access and utilization for patients with eye conditions.

Demographic Categories of Interest

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

Data Set Used

Registered Tier

Research Team

Owner:

  • Terrence Lee - Graduate Trainee, University of California, San Diego
  • Tonya Lee - Graduate Trainee, University of California, San Diego
  • Sophia Sidhu - Graduate Trainee, University of California, San Diego
  • Sally Baxter - Research Fellow, University of California, San Diego
  • Kaela Acuff - Graduate Trainee, University of California, San Diego
  • John McDermott - Graduate Trainee, University of California, San Diego
  • Grace Ahn - Graduate Trainee, University of California, San Diego
  • Gordon Ye - Undergraduate Student, University of California, San Diego
  • Alison Chan - Graduate Trainee, University of California, San Diego
  • Bita Shahrvini - Graduate Trainee, University of California, San Diego
  • Bharanidharan Radha Saseendrakumar - Project Personnel, University of California, San Diego
  • Arash Delavar - Graduate Trainee, University of California, San Diego

Collaborators:

  • Francis Ratsimbazafy - Other, All of Us Program Operational Use
  • Joy Guo - Graduate Trainee, University of California, San Diego

Socioeconomic factors associated with orbital fracture

Studies have suggested that facial fractures occurring with trauma occur with relation to socioeconomic context. We would like to examine at a national level what types of social and economic risk factors are associated with orbital fractures in particular.

Scientific Questions Being Studied

Studies have suggested that facial fractures occurring with trauma occur with relation to socioeconomic context. We would like to examine at a national level what types of social and economic risk factors are associated with orbital fractures in particular.

Project Purpose(s)

  • Population Health

Scientific Approaches

Datasets: patients with diagnosis of orbital fracture, with socioeconomic/demographics data
Research methods: correlation tests, regression

Anticipated Findings

We anticipate that certain socioeconomic risk factors will have higher odds ratio of orbital fracture and shed light on the context of trauma in which these fractures often occur.

Demographic Categories of Interest

  • Race / Ethnicity
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

  • Tonya Lee - Graduate Trainee, University of California, San Diego

Effect of Thyroid Eye Disease on Mental Health

Thyroid eye disease (TED) causes proptosis, diplopia, changes in vision, eyelid retraction with subsequent dry eye, and disfigurement that can have a negative effect on patients' quality of life and self-esteem. We hope to explore the effect of TED on…

Scientific Questions Being Studied

Thyroid eye disease (TED) causes proptosis, diplopia, changes in vision, eyelid retraction with subsequent dry eye, and disfigurement that can have a negative effect on patients' quality of life and self-esteem. We hope to explore the effect of TED on mental health and quality of life, and to determine if treatments for TED change these parameters. We would also like to understand if there are socioeconomic factors that influence outcome, and therefore quality of life and mental health, in patients with TED.

Project Purpose(s)

  • Disease Focused Research (Thyroid eye disease)
  • Population Health
  • Social / Behavioral

Scientific Approaches

Datasets: patients with TED and their history of treatment, socioeconomic classification (race, ethnicity, income, etc), coexisting mental health diagnoses (depression, anxiety)
Research methods: statistical analyses to evaluate correlation, independent risk factors
Tools: All of Us database and notebooks

Anticipated Findings

We anticipate finding greater prevalence of mental health diagnoses (ie, depression, anxiety) among patients with TED. Certain socioeconomic factors may increase risk of mood and anxiety disorders among these patients. History of TED treatment may decrease risk of these disorders persisting.

Demographic Categories of Interest

  • Geography
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

  • Tonya Lee - Graduate Trainee, University of California, San Diego

Collaborators:

  • Sally Baxter - Research Fellow, University of California, San Diego
  • Gordon Ye - Undergraduate Student, University of California, San Diego
  • Bharanidharan Radha Saseendrakumar - Project Personnel, University of California, San Diego
  • Arash Delavar - Graduate Trainee, University of California, San Diego
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