Research Projects Directory

Research Projects Directory

At this time, all listed projects are using data in the registered tier. The registered tier contains individual-level data from electronic health records, survey answers, and physical measurements. These data have been altered to protect participant privacy.

Note: Researcher Workbench users provide information about their research projects independently. Any views expressed in the Research Projects Directory belong to the relevant users and do not necessarily represent those of the All of Us Research Program.

Information in the Research Projects Directory is also cross-posted on AllofUs.nih.gov in compliance with the 21st Century Cures Act.

There are currently 73 active workspaces. This information was updated on 7/2/2020.

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MDD_test

Project Purpose(s)

  • Population Health ...

Scientific Questions Being Studied

Initial exploratory data analysis to assess the AoU data potential hypotheses that could be explored

Scientific Approaches

Case-Control statistical analysis to compare across significant differences across various sub-cohorts in AoU based on labels that will be derived based on survey outcomes.

Anticipated Findings

To help develop better understanding of AoU datasets and workbench that will be used to inform future research studies

Demographic Categories of Interest

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

Research Team

Owner:

  • Abhishek Pratap - Senior Researcher, Sage Bionetworks

Mental Health and Substance Use Demo Projects

Project Purpose(s)

  • Disease Focused Research (disease of mental health)
  • Population Health ...

Scientific Questions Being Studied

What are the prevalences of mental health conditions in the AoURP?

Scientific Approaches

Not available.

Anticipated Findings

AoURP data can be used to assess mental health conditions in previously under-represented populations.

Demographic Categories of Interest

  • Sex at Birth
  • Education Level
  • Income Level

Research Team

Owner:

  • Chen Yeh - Project Personnel, Northwestern University

Collaborators:

  • Kai Yin Ho - Project Personnel, Northwestern University
  • Joyce Ho - Mid-career Tenured Researcher, Northwestern University

Mental Health Demonstration Project

Project Purpose(s)

  • Disease Focused Research (generalized anxiety disorder, depressive disorder, bipolar disorder)
  • Other Purpose (“This work is a result of an All of Us Research Program Demonstration Project. The projects are efforts by the Program designed to meet the program's goal of ensuring the quality and utility of the Research Hub as a resource for accelerating discovery in science and medicine. This work was reviewed and overseen by the All of Us Research Program Science Committee and the Data and Research Center to ensure compliance with program policy, including policies for acceptable data access and use”.) ...

Scientific Questions Being Studied

As a demonstration project, this study aimed to explore the usability of the All of Us dataset and examined the prevalence of mental health conditions in the All of Us Research Program cohort. Specifically, we explored the lifetime prevalence of depressive disorder, bipolar disorder, and generalized anxiety disorder.

Our study looked prevalence rates for the above conditions in the following ways:
1. Prevalence in EHR data available by various demographic factors
2. Cohort characteristics
3. Congruency for diagnoses in EHR and self-report questionnaire
4. Among individuals who self-report as having been diagnosed with a mental health condition listed above, the percentage of individuals in treatment and associations between treatment and various demographic factors

Scientific Approaches

In this analysis, we calculated prevalence of mental health conditions by leveraging demographic information, questionnaire responses, and EHR data Specifically, we utilized the following surveys: Basics, Overall Health, Personal Medical History, and Healthcare Access PPIs. We utilized EHR data by creating a cohort of individuals with specific diagnoses code in their EHR. We referenced all relevant parent and child SNOMED codes for each mental health condition of the investigation (documented in Concept Set). Associations were calculated using Chi Square.

Anticipated Findings

We anticipated that the prevalence rates found in All of Us will be consistent with previous large scale studies, such as the National Comorbidity Survey. We found that the All of Us dataset is sensitive to detecting mood disorders and is usable for examining mental health conditions.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Chen Yeh - Project Personnel, Northwestern University

Collaborators:

  • Kai Yin Ho - Project Personnel, Northwestern University
  • Joyce Ho - Mid-career Tenured Researcher, Northwestern University

NIV Failure Characterization

Project Purpose(s)

  • Disease Focused Research (respiratory failure) ...

Scientific Questions Being Studied

We are attempting to identify the failure mechanisms of noninvasive ventilation therapy in patients with acute respiratory failure.

Scientific Approaches

We plan to validate an existing phenotyping method for ventilation therapy patients and generate summary statistics between the different cohorts to characterize any major differences.

Anticipated Findings

We anticipate that our approach will validate the previously created phenotyping algorithm and identify major differences between patients that successfully undergo noninvasive ventilation therapy and those that fail noninvasive therapy and require subsequent endotracheal intubation.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Patrick Essay - Graduate Trainee, University of Arizona

Collaborators:

  • Vignesh Subbian - Early Career Tenure-track Researcher, University of Arizona

Noninvasive Ventilation Failure

Project Purpose(s)

  • Disease Focused Research (respiratory failure) ...

Scientific Questions Being Studied

Questions:
We are interested in identifying differences in characteristics among acute respiratory failure patients treated with various mechanical ventilation therapies. In particular, what are the mechanisms of failure for certain types of ventilation? Identifying key differences between patients successfully treated with different ventilation devices and those that failed therapies requiring a change in treatment path will all clinicians to better match patients with the appropriate therapies.

Scientific Approaches

We will be validating a recently published phenotyping algorithm for identification of invasive and noninvasive mechanical ventilation. We will generate basic summary statistics across each phenotype and apply feature selection and subgroup analysis to identify key differences between patients successfully treated with each type of therapy.

Anticipated Findings

We anticipate key differences between ventilation phenotypes will be identifiable in physiological data and that these differences may be leveraged for characterizing patient groups in detail and modeling risks of potential ventilation failure.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

Owner:

  • Patrick Essay - Graduate Trainee, University of Arizona

Opioid Use in Cancer Patients

Project Purpose(s)

  • Disease Focused Research (cancer)
  • Population Health ...

Scientific Questions Being Studied

Is there a difference between how much patients with cancer use opioids depending on ethnicity and environmental setting

Scientific Approaches

Not available.

Anticipated Findings

That there is a racial disparity among opioid use as evidenced by how much they are prescribed.

Demographic Categories of Interest

  • Sex at Birth
  • Geography
  • Access to Care
  • Education Level
  • Income Level

Research Team

Owner:

  • Toluwalase (Lasė) Ajayi - Early Career Tenure-track Researcher, Scripps Research

Collaborators:

  • Francis Ratsimbazafy - Other, All of Us Program Operational Use