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From this page you can view our recent publications, listed below with the most recent at the top of the list.

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Strategies for Leveraging SNACC Data for Policy and Evaluation: Sustainability of Data Linkage Projects and Coalitions of Interest

Publication Year: 
2011

In this brief, SHARE grantee Mike O'Grady (NORC, University of Chicago) details the process of linking data sets, gives an overview of data linkage projects that have been undertaken to date

Strategies for Leveraging SNACC Data for Policy and Evaluation: Barriers and Challenges to Linked Data Sets

Publication Year: 
2011

In this brief, SHARE grantee Mike O'Grady (NORC, University of Chicago) details the process of linking data sets, gives an overview of data linkage projects that have been undertaken to date

The Next Generation of Data Linkage Projects: Priority Areas for SNACC under the ACA

Publication Year: 
2011

In this brief, SHARE grantee Mike O'Grady (NORC, University of Chicago) details the process of linking data sets, gives an overview of data linkage projects that have been undertaken to date

Data Availability for Race, Ethnicity, and Immigrant Groups in Federal Surveys

Publication Year: 
2009

This brief focuses on the availability of public use data from selected federal surveys that collect information on health insurance coverage and access to care for race, ethnicity and immigrant group (REI) identifiers.  Publicly available data for populations defined by REI are necessary for monitoring disparities in healthcare coverage and access.

Measurement of Race, Ethnicity, and Immigrant Groups in Federal Surveys

Publication Year: 
2009

This brief discusses the collection and classification of survey data for populations defined by race, ethnicity and immigrant (REI) status. SHADAC’s companion brief #17, "Data availability for Race, Ethnicity, and Immigrant Groups in Federal Surveys," discusses availability of these data in public use files.

The Impact of Wireless-only Households on State Surveys of Health Insurance Coverage

Publication Year: 
2009

SHADAC's Issue Brief #15 examines the increasing prevalence of cell phone coverage in the U.S., and the consequent increase in the number of people who use their cell phone in place of a landline.  The wireless-only trend makes it difficult to reach target populations and may eventually threaten the quality of the data collected.  This issue brief documents the survey research issues posed by the increase in wireless-only coverage in the U.S. and highlights the challenges posed by this environment and potential solutions.  March 2009.

The Medicaid Undercount: Real or Perceived Bias in Estimates of Coverage in General Population Surveys?

Publication Year: 
2008

This brief by Bonnie J. Austin, published by the Changes in Health Care Financing & Organization (HCFO) program of the Robert Wood Johnson Foundation, summarizes SHADAC's study of the Medicaid undercount in Minnesota, California, Florida, and Pennsylvania. The brief outlines key findings and discusses implications for policy and practice. September 2008.

Are Lower Response Rates Hazardous to Your Health Survey?

Publication Year: 
2008

SHADAC's Issue Brief #13 examines response completion efforts in three state surveys of health insurance coverage to assess whether refusal conversion and making many calls to the same number alter health survey estimates. February 2008.

Do National Surveys Overestimate the Number of Uninsured? Findings from the Medicaid Undercount Experiment in Minnesota

Publication Year: 
2004

SHADAC's Issue Brief #9 summarizes SHADAC's study of the Medicaid undercount in Minnesota, or the systematic underestimate the number of individuals known through administrative records to be enrolled in Medicaid programs. January 2004.

Overview of Approaches for Estimating Uninsurance Rates at the Sub-state Level

Publication Year: 
2002

SHADAC's Issue Brief #5 highlights three approaches that have been used to estimate uninsurance rates at the sub-state level: direct estimation through survey sampling, the proxy measure approach, and the model-based approach. April 2002.