Wednesday, June 8, 2016
News from ICPSR:
ICPSR is pleased to announce the official debut of the website for the Archive of Data on Disability to Enable Policy and research (ADDEP).
The Center for Large Data Research and Data Sharing in Rehabilitation (CLDR) and ICPSR have been working together to develop ADDEP, a data repository that supports disability and rehabilitation research. On the ADDEP website, users can explore existing disability data resources already available at ICPSR and newly acquired data from rehabilitation medicine and related areas through the new partnership with CLDR. With input from the CLDR, ADDEP will continue to find ways to improve and facilitate collaborative research opportunities for investigators, policymakers, and practitioners by providing access to existing disability and rehabilitation datasets for secondary analyses.
The CLDR involves a consortium of investigators from the University of Texas Medical Branch, Cornell University, and the University of Michigan. ADDEP is supported by grant P2CHD065702 awarded to the CLDR by the NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering.
Researchers can explore and download curated data, archive and share their data, learn about training opportunities, and more at icpsr.umich.edu/addep.
Tuesday, June 7, 2016
Monday, May 23, 2016
Monday, May 16, 2016
Questions? Barbara Mento
Monday, April 25, 2016
Thursday, April 7, 2016
"The Mapping Medicare Disparities (MMD) Tool contains health outcome measures for disease prevalence, costs, and hospitalization for 18 specific chronic conditions, emergency department utilization, readmissions rates, mortality and preventable hospitalizations. The MMD Tool provides a user friendly way to explore and better understand disparities in chronic diseases, and allows users to: 1) visualize health outcome measures at a national, state, or county level; 2) explore health outcome measures by age, race and ethnicity, gender; 3) compare differences between two geographic locations." From the website.
Includes 2012, 2013 and 2014 data.