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The American Health Values Survey (AHVS) was conducted by the National Opinion Research Center (NORC) at the University of Chicago in order to develop a typology of Americans based on their health values and beliefs. The survey, of more than 10,000 adults from five individual communities, examined values and beliefs related to health at both the individual as well as societal levels. The community surveys sought to compare differences between the local typologies, but also to investigate any similarities with national typology groups. The survey assessed the importance of health in:

• day-to-day personal life (i.e. the amount of effort spent on disease prevention as well as appropriate seeking of medical care);
• equity, the value placed on the opportunity to succeed generally in life as well as on health equity;
• social solidarity, the importance of taking into account the needs of others as well as personal needs;
• health care disparities, views about how easy/hard it is for African Americans, Latinos and low-income Americans to get quality health care;
• and, the importance of the social determinants of health.

In addition, the survey also explored views about how active government should be in health; collective efficacy, the ease of affecting positive community change by working with others; and health-related civic engagement e.g. the support of health charities and organizations working on health issues.

There are public-use and restricted-use versions of the data provided for each of the five sentinel communities participating in this study. Although each site differs on the number of respondents as listed below, each data file contains the same 143 variables for each site and version of the data. The only difference between the public-use versus restricted-use versions of the data is the variable ZIP, which was MASKED in the public-use version.

• DS1 and DS2 - Baltimore, Maryland: 2,139
• DS3 and DS4 - Maricopa County, Arizona: 2,247
• DS5 and DS6 - Stockton, California: 2,127
• DS7 and DS8 - Mobile, Alabama: 1,821
• DS9 and DS10 - North Central counties in Nebraska: 2,846

The Robert Wood Johnson Foundation (RWJF) has a vision to build a Culture of Health (CoH) by making health a shared national priority, one valued and advanced by multiple stakeholders across all sectors of society. This vision embraces a very broadly integrated and comprehensive approach to health, one where well-being lies at the center of every aspect of American life. In 2014, the RWJF commissioned NORC at the University of Chicago to plan and conduct the first American Health Values Survey (AHVS) to understand the extent to which United States adults held views consistent with this vision. The idea was to explore which types of United States adults were more supportive and less supportive of the goal and what the differences were between the more and less supportive groups. To aid in the understanding of these differences, NORC developed a typology of United States adults based on their values and beliefs related to the CoH vision.

Using a large-scale national survey fielded in late 2015 and early 2016, NORC identified six major segments of the population of adults in the United States based on their differing health values and beliefs and developed detailed profiles of each segment that described their pattern of values and beliefs as well as their demographic, political and other characteristics. NORC subsequently replicated the typology development work in five RWJF Sentinel Communities across the nation and also developed a typology of rural America. The same segments, or similar ones, were common across various geographic areas of the United States. Four years have since passed, in which changes occurred in the country. RWJF in 2019 commissioned NORC to conduct a second national, cross-sectional survey (AHVS II) in late 2019 and early 2020.

The Future of Families and Child Wellbeing Study (FFCWS, formerly known as the Fragile Families and Child Wellbeing Study) follows a cohort of nearly 5,000 children born in large, U.S. cities between 1998 and 2000. The study oversampled births to unmarried couples; and, when weighted, the data are representative of births in large U.S. cities at the turn of the century. The FFCWS was originally designed to address four questions of great interest to researchers and policy makers:

1. What are the conditions and capabilities of unmarried parents, especially fathers?
2. What is the nature of the relationships between unmarried parents?
3. How do children born into these families fare?
4. How do policies and environmental conditions affect families and children?

The FFCWS consists of interviews with mothers, fathers, and/or primary caregivers at birth and again when children are ages 1, 3, 5, 9, 15, and 22. The parent interviews collected information on attitudes, relationships, parenting behavior, demographic characteristics, health (mental and physical), economic and employment status, neighborhood characteristics, and program participation. Beginning at age 9, children were interviewed directly (either during the home visit or on the telephone). The direct child interviews collected data on family relationships, home routines, schools, peers, and physical and mental health, as well as health behaviors.

A collaborative study of the FFCWS, the In-Home Longitudinal Study of Pre-School Aged Children (In-Home Study) collected data from a subset of the FFCWS Core respondents at the Year 3 and 5 follow-ups to ask how parental resources in the form of parental presence or absence, time, and money influence children under the age of 5. The In-Home Study collected information on a variety of domains of the child's environment, including: the physical environment (quality of housing, nutrition and food security, health care, adequacy of clothing and supervision) and parenting (parental discipline, parental attachment, and cognitive stimulation). In addition, the In-Home Study also collected information on several important child outcomes, including anthropometrics, child behaviors, and cognitive ability. This information was collected through interviews with the child's primary caregiver, and direct observation of the child's home environment and the child's interactions with his or her caregiver.

Similar activities were conducted during the Year 9 follow-up. At the Year 15 follow-up, a condensed set of home visit activities were conducted with a subsample of approximately 1,000 teens. Teens who participated in the In-Home Study were also invited to participate in a Sleep Study and were asked to wear an accelerometer on their non-dominant wrist for seven consecutive days to track their sleep (Sleep Actigraphy Data) and that day's behaviors and mood (Daily Sleep Actigraphy and Diary Survey Data).

An additional collaborative study collected data from the child care provider (Year 3) and teacher (Years 9 and 15) through mail-based surveys. Saliva samples were collected at Year 9 and 15 (Biomarker file and Polygenic Scores). The Study of Adolescent Neural Development (SAND) COVID Study began data collection in May 2020 following the onset of the COVID-19 pandemic. It included online surveys with the young adult and their primary caregiver.

The FFCWS began its seventh wave of data collection in October 2020, around the focal child's 22nd birthday. Data collection and interviews continued through January 2024. The Year 22 wave included a young adult (YA) survey with the original focal child and a primary caregiver (PCG) survey. Data were also collected on the children of the original focal child (referred to as Generation 3, or G3).

In 2017, the FFCWS team announced the Fragile Families (FF) Challenge, a collaborative effort in which participants were tasked with using machine learning methods and FFCWS data (Baseline to Year 9) to build a model that would predict six key outcomes at Year 15. Materials used in the FF Challenge have been archived in this collection.

Documentation for these files is available on the FFCWS website under Data and Documentation. For details of updates made to the FFCWS data files, please see the project's Data Alerts page.

Data collection for the Future of Families and Child Wellbeing Study was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) of the National Institutes of Health under award numbers R01HD36916, R01HD39135, and R01HD40421, as well as a consortium of private foundations.

Below is the citation for use of the FFCWS data accessed through ICPSR. For information on additional citation requirements when using FFCWS in publications, please refer to this FAQ on the FFCWS project site.

Obtaining a better understanding of the organizational and operational attributes of public health delivery systems is a critical step in elucidating pathways for improving public health services. This survey of local governmental public health agencies was conducted to that end, as part of a larger study designed to classify the structural characteristics of local public health delivery systems and to examine variation and change in these characteristics over time. In 1998 and again in 2006, 2012, 2014, 2016, 2018, and 2023 local governmental public health agencies serving populations of 100,000 residents or more were surveyed about 20 core public health activities devoted to public health assessment, policy development, and assurance.

For each activity, the survey instrument asked agency directors to report whether the activity was performed at all in the agency's jurisdiction and if so, which types of organizations were involved in performing the activity. Response options for the second item consisted of a pre-defined list of organization types, including hospitals, physician practices, health insurers, community health centers, educational institutions, community-based and faith-based organizations, state and local government agencies, and private businesses/employers. The instrument also asked what proportion of the total community effort for each activity was contributed by the local public health agency and asked how effectively the activity was performed.

The purpose of this study was to describe what newly licensed registered nurses (NLRN) working in hospitals learned about quality improvement in their education programs and workplaces. The survey was administered to nurses working in a hospital who participated in the second wave (ICPSR 36812) of the Newly Licensed Registered Nurse Survey series. This was part of a ten year panel survey. Quality improvement topics covered by the survey include:

• patient-centered care
• evidence-based practice
• standardized practices for restrain and seclusion, infection control and pain management
• use of information technology or strategies to reduce reliance on memory
• participation in analyzing errors and designing system improvements
• use of national patient safety resources, initiatives or regulations
• use of specific quality improvement models

In 2008, a group of uninsured low-income adults in Oregon was selected by lottery to be given the chance to apply for Medicaid. This lottery provides an opportunity to gauge the effects of expanding access to public health insurance on the health care use, financial strain, and health of low-income adults using a randomized controlled design. The Oregon Health Insurance Experiment follows and compares those selected in the lottery (treatment group) with those not selected (control group). The data collected and provided here include data from in-person interviews, three mail surveys, emergency department records, and administrative records on Medicaid enrollment, the initial lottery sign-up list, welfare benefits, and mortality.

This data collection has seven data files:

Dataset 1 contains administrative data on the lottery from the state of Oregon. These data include demographic characteristics that were recorded when individuals signed up for the lottery, date of lottery draw, and information on who was selected for the lottery, applied for the lotteried Medicaid plan if selected, and whose application for the lotteried plan was approved. Also included are Oregon mortality data for 2008 and 2009.

Dataset 2 contains information from the state of Oregon on the individuals' participation in Medicaid, Supplemental Nutrition Assistance Program (SNAP), and Temporary Assistance to Needy Families (TANF).

Datasets 3-5 contain the data from the initial, six month, and 12 month mail surveys, respectively. Topics covered by the surveys include demographic characteristics; health insurance, access to health care and health care utilization; health care needs, experiences, and costs; overall health status and changes in health; and depression and medical conditions and use of medications to treat them.

Dataset 6 contains an analysis subset of the variables from the in-person interviews. Topics covered by the survey questionnaire include overall health, health insurance coverage, health care access, health care utilization, conditions and treatments, health behaviors, medical and dental costs, and demographic characteristics. The interviewers also obtained blood pressure and anthropometric measurements and collected dried blood spots to measure levels of cholesterol, glycated hemoglobin and C-reactive protein.

Dataset 7 contains an analysis subset of the variables the study obtained for all emergency department (ED) visits to twelve hospitals in the Portland area during 2007-2009. These variables capture total hospital costs, ED costs, and the number of ED visits categorized by time of the visit (daytime weekday or nighttime and weekends), necessity of the visit (emergent, ED care needed, non-preventable; emergent, ED care needed, preventable; emergent, primary care treatable), ambulatory case sensitive status, whether or not the patient was hospitalized, and the reason for the visit (e.g., injury, abdominal pain, chest pain, headache, and mental disorders).

The collection also includes a ZIP archive (Dataset 8) with Stata programs that replicate analyses reported in three articles by the principal investigators and others:

Finkelstein, Amy et al "The Oregon Health Insurance Experiment: Evidence from the First Year". The Quarterly Journal of Economics. August 2012. Vol 127(3).

Baicker, Katherine et al "The Oregon Experiment - Effects of Medicaid on Clinical Outcomes". New England Journal of Medicine. 2 May 2013. Vol 368(18).

Taubman, Sarah et al "Medicaid Increases Emergency Department Use: Evidence from Oregon's Health Insurance Experiment". Science. 2 Jan 2014.

The Youth, Education, and Society (YES) study was conducted as part of the Bridging the Gap initiative, a national research project funded by the Robert Wood Johnson Foundation dedicated to improving the understanding of how policies and environmental policies influence diet, physical activity and obesity among youth, as well as youth tobacco use. YES surveyed secondary schools participating in the Monitoring the Future study and a larger supplementary sample of secondary schools. This data collection covers only the latter sample. The YES Supplement consists of annual surveys of school administrators in representative samples of middle schools and high schools, beginning with the 2006-2007 school year and ending with the 2013-2014 school year. Topics covered by the YES Supplement questionnaire include school characteristics, school nutrition and physical education policies, school lunch programs, and school vending machines, stores and snack bars.

In November 2019, the National Opinion Research Center (NORC) launched the Y Strong Communities Study to explore how experiences with the YMCA (or "the Y") have affected the lives of Y participants and their communities. NORC fielded a survey with over 3,000 individuals who were Y members or who had participated in activities at the Y. Topics covered by the survey included Y engagement (duration and frequency of Y participation), reflections on the Y (e.g., whether the Y helps them develop connect to resources), community involvement, and health and well-being. Additional information collected by the survey includes work status, volunteer activity, attendance of faith-based services, gender identity, age, ethnicity, race, and educational attainment.

NORC also fielded two rounds of questions on the AmeriSpeak Omnibus survey in November 2019 and March 2020 to collect a general population comparison for the Y participant survey.