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Curated

County Characteristics, 2000-2007 [United States] (ICPSR 20660)

Released/updated on: 2008-01-24
Geographic coverage: United States
Time period: 2000-01-01--2007-01-01
This file contains an array of county characteristics by which researchers can investigate contextual influences at the county level. Included are population size and the components of population change during 2000-2005 and a wide range of characteristics on or about 2005: (1) population by age, sex, race, and Hispanic origin, (2) labor force size and unemployment, (3) personal income, (4) earnings and employment by industry, (5) land surface form topography, (6) climate, (7) government revenue and expenditures, (8) crimes reported to police, (9) presidential election results (10) housing authorized by building permits, (11) Medicare enrollment, and (12) health profession shortage areas.
Curated

The Health Care Cost of Elder Abuse: An Analysis of Medicare, Medicaid, and Adult Protective Services Data in Maine, 2006-2014 (ICPSR 37372)

Released/updated on: 2024-07-30
Geographic coverage: United States, Maine
Time period: 2006-01-01--2014-12-31

In partnership with the Maine Department of Health and Human Services, this study analyzed approximately 200 case files of Maine Adult Protective Services (APS) substantiated investigations of financial exploitation that were opened and completed from 2007 through 2012. The case files included detailed information about the types of abuse individuals experienced, their functional limitations, and severity of risk status. The research team linked the case files with the individuals' Medicare and Medicaid claims data from 2006 through 2014 to examine their claims experience one year prior to APS contact, during their APS event year, and two years following their APS event year. Using a quasi-experimental design, the research team established health care use and cost profiles of the APS clients and compared their profiles to matched controls in the general older population. The project aimed to advance knowledge of the financial impact of elder abuse.

Curated
Restricted

Using Physician Behavioral Big Data for High Precision Fraud Prediction and Detection, United States, 2000-2019 (ICPSR 38811)

Released/updated on: 2025-12-02
Geographic coverage: United States
Time period: 2000-01-01--2020-12-31
This project used big data from non-clinical physician behavior. These include traffic violations, substance abuse, property ownership, stressors (e.g., bankruptcy and divorce), social media data, and other life events data. These variables, all based on public records, were used to construct a predictive model of Medicare fraud using machine learning techniques.