CMS has released new data on ethnic and racial backgrounds of Medicare Advantage beneficiaries, which will allow for analysis related to quality-based metrics within various populations. The Centers for Medicare & Medicaid Services (CMS) is further attempting to innovate and improve medicine through quality-based metrics, as the CMS Office of Minority Health has released new […]
CMS Releases Medicare Data for Quality-Based Metrics Read More »
Register now for the first webinar Title: Preventing Problems Before They Start: Introducing the Role of Prevention Science in Proven Programs Time and date: 2 p.m. to 3 p.m. ET, Thursday, April 28 Description: How can science help you solve tomorrow’s problems for youth today? Learn how the benefits of prevention science and research science
“The Center for Innovation through Data Intelligence (CIDI), a research and policy center for the Deputy Mayor for Health and Human Services, originally created this Disparity Report for the Young Men’s Initiative (YMI), a city-wide program designed specifically to enhance the wellbeing of young men of color. Since that time, we have realized that this
CIDI’s Young Men’s Initiative (YMI) Disparity Report Read More »
Humming away in a brick building near the banks of Pittsburgh’s Monongahela River, two servers filled with personal data hold the potential to improve the lives of the state’s most vulnerable children. Harnessing what’s on these servers would represent an ambitious use of big data, one that could possibly safeguard thousands of kids from abuse
Two grants, totaling nearly $2 million, have been awarded to University of Pennsylvania professors Dennis Culhane and John Fantuzzo, enabling the continued development and expanded use of Integrated Data Systems, or IDS, for evidence-based policymaking through the Actionable Intelligence for Social Policy, or AISP, initiative. IDS link existing administrative data across multiple agencies and community
Dennis Culhane and John Fantuzzo Awarded $1.9M for AISP and IDS Research Read More »
“Administrative data are information collected, used, and stored primarily for administrative (i.e., operational), rather than research, purposes. These data can be an excellent source of information for use in research and impact evaluation.” “J-PAL North America has developed a guide that provides practical guidance on how to obtain and use nonpublic administrative data for a
J-PAL Creates Resources on How to Obtain and Use Nonpublic Administrative Data Read More »
On January 1, 2016, “ SOPIPA”—the recently passed California student data privacy law that defines how edtech companies can use student data became effective. About 25 other states have passed similar laws that are already in effect, or will become effective. At the same time, more than 200 school service providers have now signed the
Passing the Privacy Test as Student Data Laws Take Effect Read More »
Randomized clinical trials (RCTs) have revolutionized medicine by providing evidence on the efficacy and safety of drugs, devices, and procedures. Today, more than 40 000 RCTs are reported annually, their quality continues to increase, and oversight mechanisms ensure adequate protection of participants. However, RCTs have at least 4 related problems: (1) they are too expensive and
Fusing Randomized Trials With Big Data – The Key to Self-learning Health Care Systems? Read More »
Data collected by public service agencies can provide useful information on the reach and effectiveness of individual programs. This data, when combined from multiple sources, can provide more detailed portraits of family and community life that to inform policy and improve service delivery. This is referred to as Integrated Data Systems (IDS). In its latest
This report describes Allegheny County families who experienced a housing crisis from 2009 through 2013, with a particular focus on the 2009 entry cohort. In 2014, the Allegheny County Department of Human Services (DHS) conducted a review of its homelessness services system as a first step in planning for and promoting effective strategies for reducing
Families Involved in the Allegheny County Homelessness System Read More »
This study aimed to measure the relative contribution of adverse experiences to adolescent behavioral health problems using administrative data. Specifically, we sought to understand the predictive value of adverse experiences on the presence of mental health and substance abuse problems for youth receiving publicly funded social and health services. Medicaid claims and other service records
Amy Finkelstein, an MIT economist, explains why randomized trials can improve medical care. “About 80 percent of studies of U.S. medical interventions use randomized controlled trials (RCTs), the gold standard of laboratory research. But only about 18 percent of studies of U.S. health care delivery use RCTs. That can and should change, suggests Amy Finkelstein,
3 Questions: Amy Finkelstein on testing health care systems Read More »
The Federal Committee on Statistical Methodology’s conference held in December of 2014 featured a session on “Integrating Administrative Data: Routinizing Our Success and Exploring New Frontiers.” (Organizers: Shelly Martinez, OMB; Grace Medley, SAMHSA; John Eltinge, BLS; Kitty Smith, COPAFS) Chair: Adam Sieminski, Administrator, Energy Information Administration From Demonstrating the Potential of Administrative Data in Statistical
Integrating Administrative Data: Routinizing Our Success and Exploring New Frontiers Read More »
A recent NY Times article highlights the use of randomized control trials (RCTs) as an important tool in identifying methods for improving health care delivery. The article notes that the current use of RCTs for this is rare, but identifies researchers that are currently utilizing this method and obtaining results that have lead to cost and
RCTs for Health Care Delivery Improvement Read More »
The Washington State Department of Social and Health Services (DSHS), in collaboration with the Research and Data Analysis Division, recently released “School Works,” a study utilizing administrative data from multiple sources to measure the effects of frequent school mobility. It primarily takes data from INVEST, a cross-agency limited dataset containing data from the DSHS Integrated
Administrative Data Documents Challenges of High-Needs Students Read More »
