Monday, June 13, 2016
Wednesday, June 8, 2016
New from ICPSR: Archive of Data on Disability to Enable Policy and research (ADDEP).
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
Monday, April 25, 2016
Thursday, April 7, 2016
Mapping Medicare Disparities
"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.
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