Henry Skrehot

Graduate Trainee, Baylor College of Medicine

7 active projects

Healthcare access and utilization for ophthalmic conditions

We intend to study the healthcare access and utilization in a variety of ophthalmic conditions such as, but not limited to, diabetic retinopathy, glaucoma, macular degeneration, cataracts, eye injuries, strabismus, cranial nerve palsies, temporal arteritis, and others. The goal is…

Scientific Questions Being Studied

We intend to study the healthcare access and utilization in a variety of ophthalmic conditions such as, but not limited to, diabetic retinopathy, glaucoma, macular degeneration, cataracts, eye injuries, strabismus, cranial nerve palsies, temporal arteritis, and others. The goal is to understand the healthcare environment patients who suffer from or are at risk for these conditions are in.

Project Purpose(s)

  • Disease Focused Research (ophthalmic disorders)

Scientific Approaches

We plan to use datasets for each condition paired with survey analysis to reach conclusions on patients' healthcare access and utilization. Exploratory data analysis, hypothesis testing, and regression will be primary tools used.

Anticipated Findings

Anticipated findings include uncovering disparities in healthcare access and utilization that may exist in particular subpopulations with a condition. These findings will enable and empower physicians and patients to be more mindful and aware of the difficulties of receiving necessary care that faces some of these patients.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

Duplicate of Optic neuritis and risk of multiple sclerosis

We want to understand the factors that may contribute to patients who initially present with optic neuritis who are then diagnosed with multiple sclerosis.

Scientific Questions Being Studied

We want to understand the factors that may contribute to patients who initially present with optic neuritis who are then diagnosed with multiple sclerosis.

Project Purpose(s)

  • Disease Focused Research (multiple sclerosis, optic neuritis)

Scientific Approaches

We plan to do exploratory data analysis and regression to find risk factors of patients who are diagnosed with multiple sclerosis after optic neuritis

Anticipated Findings

Anticipated findings include demographic and social factors that are related to the diagnosis of multiple sclerosis after optic neuritis. The findings would provide more information on populations who are at greater risk and are more vulnerable.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

Risk of open globe injury

We want to study the incidence of open globe injuries in the All of Us patient population. We hope to uncover any disparities in its occurrence among particular subpopulations.

Scientific Questions Being Studied

We want to study the incidence of open globe injuries in the All of Us patient population. We hope to uncover any disparities in its occurrence among particular subpopulations.

Project Purpose(s)

  • Disease Focused Research (Open globe injury)
  • Population Health

Scientific Approaches

We will use the All of Us dataset for patients with a history of open globe injuries. We will do exploratory data analysis and regression to examine the incidence.

Anticipated Findings

We anticipate finding the incidence of open globe injuries and any discrepancies among subpopulations that may suggest an inequitable risk. This will give us a greater understanding of the people most at risk for this potentially vision impairing condition.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age

Data Set Used

Registered Tier

Research Team

Owner:

Prevalence of AMD

To investigate the prevalence of age-related macular degeneration in the All of Us population. We hope to understand the burden of age-related macular degeneration in different subpopulations.

Scientific Questions Being Studied

To investigate the prevalence of age-related macular degeneration in the All of Us population. We hope to understand the burden of age-related macular degeneration in different subpopulations.

Project Purpose(s)

  • Disease Focused Research (age related macular degeneration)
  • Population Health

Scientific Approaches

We will use datasets of study participants with age-related macular degeneration. We will stratify them by various demographic categories and find descriptive statistics. We will also use regression to identify risk factors.

Anticipated Findings

Anticipated findings include the prevalence of age-related macular degeneration among the All of Us study participants, as well as similar findings for subpopulations. Factors that make patients more at-risk for developing age-related macular degeneration will also be identified.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

Optic neuritis and risk of multiple sclerosis

We want to understand the factors that may contribute to patients who initially present with optic neuritis who are then diagnosed with multiple sclerosis.

Scientific Questions Being Studied

We want to understand the factors that may contribute to patients who initially present with optic neuritis who are then diagnosed with multiple sclerosis.

Project Purpose(s)

  • Disease Focused Research (multiple sclerosis, optic neuritis)

Scientific Approaches

We plan to do exploratory data analysis and regression to find risk factors of patients who are diagnosed with multiple sclerosis after optic neuritis

Anticipated Findings

Anticipated findings include demographic and social factors that are related to the diagnosis of multiple sclerosis after optic neuritis. The findings would provide more information on populations who are at greater risk and are more vulnerable.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

Duplicate of How to Get Started with Registered Tier Data (tier 5)

We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data. What should you expect? This notebook will give you an overview of what data is available in the current…

Scientific Questions Being Studied

We recommend that all researchers explore the notebooks in this workspace to learn the basics of All of Us Program Data.

What should you expect? This notebook will give you an overview of what data is available in the current Curated Data Repository (CDR). It will also teach you how to retrieve information about Electronic Health Record (EHR), Physical Measurements (PM), and Survey data.

Project Purpose(s)

  • Educational
  • Methods Development
  • Other Purpose (This is an All of Us Tutorial Workspace. It is meant to provide instruction for key Researcher Workbench components and All of Us data representation.)

Scientific Approaches

This Tutorial Workspace contains two Jupyter Notebooks (one written in Python, the other in R). Each notebook is divided into the following sections:

1. Setup: How to set up this notebook, install and import software packages, and select the correct version of the CDR.
2. Data Availability Part 1: How to summarize the number of unique participants with major data types: Physical Measurements, Survey, and EHR;
3. Data Availability Part 2: How to delve a little deeper into data availability within each major data type;
4. Data Organization: An explanation of how data is organized according to our common data model.
5. Example Queries: How to directly query the CDR, using two examples of SQL queries to extract demographic data.
6. Expert Tip: How to access the base version of the CDR, for users that want to do their own cleaning.

Anticipated Findings

By reading and running the notebooks in this Tutorial Workspace, you will understand the following:

All of Us data are made available in a Curated Data Repository. Participants may contribute any combination of survey, physical measurement, and electronic health record data. Not all participants contribute all possible data types. Each unique piece of health information is given a unique identifier called a concept_id and organized into specific tables according to our common data model. You can use these concept_ids to query the CDR and pull data on specific health information relevant to your analysis. See our support article Learning the Basics of the All of Us Dataset for more info.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Data Set Used

Registered Tier

Research Team

Owner:

Epidemiology of eye disorders and diseases

We want to understand the epidemiology of common eye diseases and disorders in the US. We also want to understand if there are risk factors that make individuals more susceptible to certain eye conditions.

Scientific Questions Being Studied

We want to understand the epidemiology of common eye diseases and disorders in the US. We also want to understand if there are risk factors that make individuals more susceptible to certain eye conditions.

Project Purpose(s)

  • Population Health

Scientific Approaches

We will use the All of Us database to investigate the epidemiology of eye diseases and disorders as well as understand related risk factors. We will use EHR and survey data in our analysis.

Anticipated Findings

Anticipated findings include identifying previously unknown at risk populations and novel associations with other diseases.

Demographic Categories of Interest

  • Race / Ethnicity
  • Age
  • Sex at Birth
  • Gender Identity
  • Sexual Orientation
  • Geography
  • Disability Status
  • Access to Care
  • Education Level
  • Income Level

Data Set Used

Registered Tier

Research Team

Owner:

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You can request that the All of Us Resource Access Board (RAB) review a research purpose description if you have concerns that this research project may stigmatize All of Us participants or violate the Data User Code of Conduct in some other way. To request a review, you must fill in a form, which you can access by selecting ‘request a review’ below.