ABC News "Good Morning America" Health Care Poll, July 1994 (ICPSR 3850)
ABC News/USA Today/KFF Poll, September 2006 (ICPSR 4666)
ABC News/Washington Post Monthly Poll, June 2009 (ICPSR 27765)
ABC News/Washington Post Monthly Poll, November 2009 (ICPSR 29043)
ABC News/Washington Post Poll, February 1994 (ICPSR 6618)
ABC News/Washington Post Poll, September 2007 (ICPSR 24591)
ABC News/WASHINGTON POST "World News Tonight" Health Care Poll, September 1993 (ICPSR 6284)
Analysis of Longitudinal Claims Databases (R1 Part A): Aging Trajectories of Chronic Disease, Psychological Morbidity, and Mortality, United States (ICPSR 38530)
The Analysis of Longitudinal Claims Databases (R1 Part A): Aging Trajectories of Chronic Disease, Psychological Morbidity, and Mortality, United States is the first of a three-part project that examined claims data from Medicare, Medicaid, and/or Optum databases to explore aging trajectories, use of preventative services, and healthcare outcomes for individuals with several types of physical disabilities.
There is a well-established interrelationship between access to healthcare and the age-related co-occurrence of two or more chronic conditions, adverse health events, and cost of care among people with a physical disability (PWPD). However, the extent to which health outcomes and healthcare costs interact with a wide range of social factors, including type and depth of insurance coverage, has received little attention. There is also scarce evidence regarding the aging trajectories of chronic diseases and psychological conditions among PWPD, as well as how these factors contribute to healthcare costs and adverse health events, including early mortality. Three specific aims guide this research investigation:
- Determine the longitudinal trends of cardiometabolic diseases, the age-related co-occurrence of two or more chronic conditions (or multimorbidity), diagnosed physiological conditions, and musculoskeletal diseases common among individuals diagnosed with a physical disability ordered by type of insurance (public vs. private).
- Identify the independent and joint contributions of medical factors (e.g., age, multimorbidity, disease severity, etc.) and social and environmental factors (e.g., income, education, and insurance) on adverse health events (including mortality), healthcare use, and costs.
- Quantify how changes in medical and social factors predict or facilitate adverse health events and healthcare costs among individuals with specific diagnoses of physical disabilities.
Area Health Resources Files (ICPSR 34043)
Assessment of a Program of Public Information on Health Care Reform, 1992-1993: [Wichita, Kansas, and Des Moines, Iowa] (ICPSR 6066)
Associated Press Health Care Reform Survey, by Stanford University with the Robert Wood Johnson Foundation, August-September 2010 [United States] (ICPSR 30422)
Bicol Community Survey (BCS), 1981: [Philippines] (ICPSR 6888)
Border Contraceptive Access Study, El Paso, Texas 2005-2008 (ICPSR 32561)
Oral contraceptive (OC) users living in El Paso, Texas were interviewed to assess motivations for patronizing a United States clinic or a Mexican pharmacy with over-the-counter (OTC) pills and to determine which women were likely to use the OTC option. The experiences of OC users who obtained their contraception from Mexican pharmacies were compared with those of women who obtained their pills from family planning clinics in El Paso, Texas, where eligible low-income women often pay nothing. 532 clinic users and 514 pharmacy users were surveyed about background characteristics, motivations for choosing their oral contraception source, and satisfaction with this source. For more information, please see the Border Contraceptive Access Study website.
Business Leaders' Views on American Health Care, 1990 (ICPSR 6032)
California Healthcare Foundation/Mercer Small Business Health Insurance Survey, 2000 (ICPSR 3383)
CBS News/60 Minutes/Vanity Fair National Poll, March #2, 2012 (ICPSR 34601)
CBS News Federal Government Poll, February 1989 (ICPSR 9231)
CBS News Monthly Poll #1, January 2007 (ICPSR 21360)
CBS News Monthly Poll #2, January 2007 (ICPSR 21920)
CBS News Monthly Poll #2, September 2007 (ICPSR 22585)
CBS News Monthly Poll, August 2004 (ICPSR 4155)
CBS News Monthly Poll, May 2009 (ICPSR 26948)
CBS News/New York Times Health Care Poll, August 18-22, 1991 (ICPSR 9862)
CBS News/New York Times Monthly Poll #1, April 2009 (ICPSR 26946)
CBS News/New York Times Monthly Poll #1, April 2010 (ICPSR 31569)
CBS News/New York Times Monthly Poll #2, February 2007 (ICPSR 23021)
CBS News/New York Times Monthly Poll #4, October 2004 (ICPSR 4227)
CBS News/New York Times Monthly Poll, February 2005 (ICPSR 4318)
CBS News/New York Times Monthly Poll, July 2009 (ICPSR 27802)
CBS News/New York Times Monthly Poll, June 2009 (ICPSR 26950)
CBS News/New York Times Monthly Poll, March 2008 (ICPSR 26146)
CBS News/New York Times Monthly Poll, September 2009 (ICPSR 27805)
CBS News/New York Times Poll, December #1, 2013 (ICPSR 36064)
CBS News/New York Times Poll, December #2, 2013 (ICPSR 36065)
CBS News Poll, May #1, 2014 (ICPSR 36198)
CBS News Poll, October #1, 2013 (ICPSR 36061)
CBS News/Vanity Fair Monthly Poll #1, January 2010 (ICPSR 31162)
CBS News/Vanity Fair Monthly Poll, March 2010 (ICPSR 31568)
CBS News/Vanity Fair Monthly Poll, October 2009 (ICPSR 30403)
Chinese Household Income Project, 2002 (ICPSR 21741)
The purpose of this project was to measure and estimate the distribution of personal income and related economic factors in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components. Data were collected through a series of questionnaire-based interviews conducted in rural and urban areas at the end of 2002. There are ten separate datasets. The first four datasets were derived from the urban questionnaire. The first contains data about individuals living in urban areas. The second contains data about urban households. The third contains individual-level economic variables copied from the initial urban interview form. The fourth contains household-level economic variables copied from the initial urban interview form. The fifth dataset contains village-level data, which was obtained by interviewing village leaders. The sixth contains data about individuals living in rural areas. The seventh contains data about rural households, as well as most of the data from a social network questionnaire which was presented to rural households. The eighth contains the rest of the data from the social network questionnaire and is specifically about the activities of rural school-age children. The ninth dataset contains data about individuals who have migrated from rural to urban areas, and the tenth dataset contains data about rural-urban migrant households. Dataset 1 contains 151 variables and 20,632 cases (individual urban household members). Dataset 2 contains 88 variables and 6,835 cases (urban households). Dataset 3 contains 44 variables and 27,818 cases, at least 6,835 of which are empty cases used to separate households in the file. The remaining cases from dataset 3 match those in dataset 1. Dataset 4 contains 212 variables and 6,835 cases, which match those in dataset 2. Dataset 5 contains 259 variables and 961 cases (villages). Dataset 6 contains 84 variables and 37,969 cases (individual rural household members). Dataset 7 contains 449 variables and 9,200 cases (rural households). Dataset 8 contains 38 variables and 8,121 cases (individual school-age children). Dataset 9 contains 76 variables and 5,327 cases (individual rural-urban migrant household members). Dataset 10 contains 129 variables and 2,000 cases (rural-urban migrant households).
The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.
Communities in Charge Survey, 2001-2003 [Alameda County, California, Austin, Texas, and Southern Maine] (ICPSR 4638)
Community Hospital Program (CHP) Access Impact Evaluation Surveys, 1978-1979, 1981 (ICPSR 8245)
Community Tracking Study Household Survey, 1996-1997, and Followback Survey, 1997-1998: [United States] (ICPSR 2524)
Community Tracking Study Household Survey, 1998-1999, and Followback Survey, 1998-2000: [United States] (ICPSR 3199)
Community Tracking Study Household Survey, 2000-2001: [United States] (ICPSR 3764)
Community Tracking Study Household Survey, 2003: [United States] (ICPSR 4216)
Connecticut Health Care Survey, 2012-2013 (ICPSR 35475)
Consumer Healthcare Experience State Surveys, United States, 2022 (ICPSR 38596)
Altarum's Consumer Healthcare Experience State Survey (CHESS) and Medical Debt Survey are designed to elicit respondents' unbiased views on a wide range of health system issues, including confidence in using the health system, financial burden, medical debt, and views on fixes that might be needed. The surveys use a web panel from Dynata with a demographically balanced sample of approximately 1,500 respondents who live in a targeted state. The surveys were conducted in English or Spanish and restricted to adults ages 18 and older. Respondents who finished the surveys in less than half the median time were excluded from the final sample.