Economic and sociological drivers impact access to individualized specialty health care. This study would examine the role of age (pediatric, geriatric), gender, or ethnicity specialty expertise on patient outcomes. Demographic information would be combined with survey information about access to specialty medical care expertise. Outcomes would be determined by PPI and EHR, to include admissions, length of stay, disability... more »
It is important that the All of Us database includes a range of nutrition-related measures which are used to help identify malnutrition risk. Additional measures of malnutrition-related characteristics are important for malnutrition diagnosis. Validated screening tools such as the Malnutrition Screening Tool (MST) could be used regularly to collect this data, as well as linked surveys to capture demographic information... more »
We all aspire for precision Medicine particularly when it comes to response to drugs , pharmacogenomics , cancer treatment or heart disease , yet logistic and economical barriers still keep this far from universal application.
The proposed study would answer if precision medicine practice based on Ethnicity is appropriate or not.
What if any are the differences in terms of cancer incidence and treatment outcomes for genetic demographics (biological sex, ethnicity) versus comparable self-reported demographics (gender, race, nationality)? The goal of this research would be to explore the relative contribution on disease, health, and outcome of genetically determined demographic characteristics versus personal, social or culturally determined demographic... more »
Assess religiosity as it may relate to social support to buffer stress, which could affect pregnancy length (# weeks gestation) and preterm birth rates.
Data suggest that place of birth is important in chronic disease causation even after people move to new locations. Similarly data abound regarding environmental exposure and chronic diseases.
Understanding gene-environment interactions in the context of race/ethnicity is important for chronic disease causation and prevention.
This study could use zip code level data to stratify risk and track interventions