Showing 7 ideas for tag "disability"
Osteoarthritis (OA) is the most common cause of disability in the United States, and there are no available biomarkers or disease-modifying therapies for OA. Currently, we are unable to identify rapidly progressive OA patients at diagnosis. All of Us offers a unique opportunity to obtain clinical data and biospecimens, along with diet and exercise information, which associate with rapidly progressive OA to help foster... more »
The prevalence of disabling conditions is increasing in the U.S. and yet we do not have a sufficient understanding of the factors that influence functional and participation outcomes in these populations. With the addition of self-reported measures along these lines, the NIH All of Us initiative could be a powerful tool to correlate demographic, biological, behavioral, and environmental data with functional and community... more »
LBP is the #1 cause of years lived with disability worldwide (GBD 2016), yet little is known about its underlying mechanisms. In standard clinical care, people with very different presentations of LBP are treated the same. Longitudinal survey items related to LBP, and data collection already planned by AoU (surveys + physical measurements + EHR + genomics) can be used to identify meaningful LBP subgroups that are connected... more »
The shared goal of NIH and the participants is to reduce the burden of illness across conditions and segments of the population. How to capture burden of illness due to this variety of health conditions on an individual basis? A validated, standardized measure of disability would be extremely valuable to ascertain the impact of the various conditions on function in All of Us. Plan might be to assess the various, validated... more »
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 »
This would focus on incidence of health problems in the entire cohort to ask if loss of mobility or neurological impairment are separate risk factors. Demographic and pre-enrollment ICD codes will be obtained with the All of Us Core dataset. Volunteers will be followed for 5 years with annual PPI, physical exams, and blood draws. ICD codes will be obtained at any clinical encounters. Principle component analysis will... more »