To illustrate the utility of the All of Us Research Program for studying military and veteran health.
Author(s): Porter, Ben
DOI: 10.1093/jamia/ocae153
This case study describes how an All of Us engagement project returned value to community by strengthening high school students' capacity to serve as health advocates.
Author(s): Yamazaki, Katrina Go, Taylor, Amy, Asikin-Garmager, Asih, Han, Sharon, Bartlett, Laura
DOI: 10.1093/jamia/ocae150
The aim of this study was to describe opportunities and challenges associated with the development and implementation of a program for supporting researchers underrepresented in biomedical research.
Author(s): Southwell, Brian, Hood, Sula, Carter, Javan, Richardson, Courtney, Cates, Sheri, Sow, Hadyatoullaye, Branigan, MaryBeth, Hawkins, Trey-Rashad, Atkinson, Katie, Uhrig, Jennifer, Lewis, Megan
DOI: 10.1093/jamia/ocae099
Integration of social determinants of health into health outcomes research will allow researchers to study health inequities. The All of Us Research Program has the potential to be a rich source of social determinants of health data. However, user-friendly recommendations for scoring and interpreting the All of Us Social Determinants of Health Survey are needed to return value to communities through advancing researcher competencies in use of the All of [...]
Author(s): Koleck, Theresa A, Dreisbach, Caitlin, Zhang, Chen, Grayson, Susan, Lor, Maichou, Deng, Zhirui, Conway, Alex, Higgins, Peter D R, Bakken, Suzanne
DOI: 10.1093/jamia/ocae214
Hypertension (HTN) remains a significant public health concern and the primary modifiable risk factor for cardiovascular disease, which is the leading cause of death in the United States. We applied our validated HTN computable phenotypes within the All of Us Research Program to uncover prevalence and characteristics of HTN and apparent treatment-resistant hypertension (aTRH) in United States.
Author(s): Alshahawey, Mona, Jafari, Eissa, Smith, Steven M, McDonough, Caitrin W
DOI: 10.1093/jamia/ocae227
Scales often arise from multi-item questionnaires, yet commonly face item non-response. Traditional solutions use weighted mean (WMean) from available responses, but potentially overlook missing data intricacies. Advanced methods like multiple imputation (MI) address broader missing data, but demand increased computational resources. Researchers frequently use survey data in the All of Us Research Program (All of Us), and it is imperative to determine if the increased computational burden of employing MI [...]
Author(s): Guide, Andrew, Garbett, Shawn, Feng, Xiaoke, Mapes, Brandy M, Cook, Justin, Sulieman, Lina, Cronin, Robert M, Chen, Qingxia
DOI: 10.1093/jamia/ocae217
Identifying sources of sex-based disparities is the first step in improving clinical outcomes for female patients. Using All of Us data, we examined the association of biological sex with cost-related medication adherence (CRMA) issues in patients with cardiovascular comorbidities.
Author(s): Agapito, Ivann, Hoang, Tu, Sayer, Michael, Naqvi, Ali, Patel, Pranav M, Ozaki, Aya F
DOI: 10.1093/jamia/ocae203
To understand how frailty and healthcare delays differentially mediate the association between sexual and gender minority older adults (OSGM) status and healthcare utilization.
Author(s): Wong, Chelsea N, Smith, Louisa H, Cavanaugh, Robert, Kim, Dae H, Streed, Carl G, Kapadia, Farzana, Olivieri-Mui, Brianne
DOI: 10.1093/jamia/ocae205
We aimed to evaluate the feasibility of using ChatGPT as programming support for nursing PhD students conducting analyses using the All of Us Researcher Workbench.
Author(s): Reading Turchioe, Meghan, Kisselev, Sergey, Fan, Ruilin, Bakken, Suzanne
DOI: 10.1093/jamia/ocae208
To evaluate the NIH All of Us Research Program database as a potential data source for studying allostatic load and stress among adults in the United States (US).
Author(s): Beese, Shawna, Abshire, Demetrius A, DeJong, Trey L, Carbone, Jason T
DOI: 10.1093/jamia/ocae201