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These data were collected as part of an assessment of in-person and webinar AFIX consultations on best practices for adolescent HPV immunization. AFIX (which stands for Assessment, Feedback, Incentives, and eXchange) is a program of the Center for Disease Control and Prevention aimed at increasing vaccination of children and adolescents by reducing missed opportunities to vaccinate and improving immunization delivery practices at the provider level.

High-volume primary care clinics serving over 370,000 patients ages 11-17 in three states were randomly assigned to receive no consultation or an in-person or webinar AFIX consultation focused on improving adolescent HPV immunization. Immunization specialists from participating state health departments delivered the consultations. Physicians, nurses and other clinic staff in the in-person and webinar arms who participated in the consultation sessions completed web-based surveys pre-consultation (pre-visit survey), post-consultation (post-visit survey) and at six-month follow up (follow-up survey). Topics covered by the surveys include participation in and satisfaction with the assigned consultation delivery mode; strategies for improving HPV vaccination coverage used by the respondents' clinics; opinions about the level of HPV vaccination coverage in the respondents' clinics; and the respondents' self-efficacy for improving HPV vaccination coverage.

Sponsored by the Robert Wood Johnson Foundation, the Active for Life (AFL) initiative investigated how two physical activity programs for adults aged 50 and older, Active Choices (AC) and Active Living Every Day (ALED), worked in community settings. Created by researchers at Stanford University, Active Choices used lifestyle counseling and personalized telephone support to encourage older adults to be physically active. In AFL, this was a 6-month program delivered through one face-to-face meeting followed by up to eight one-on-one telephone counseling calls. Active Living Every Day, which was created by the Cooper Institute and Human Kinetics Inc., also provided lifestyle counseling to promote physical activity, but in a classroom and workbook format. During the first three years of the four-year AFL initiative, ALED was delivered as a 20-week program where participants attended weekly small group meetings, but in the last year it was shortened to 12 weekly meetings. Nine organizations received AFL grants to implement the programs during 2003-2006. Four grantees implemented the one-on-one AC model, while five implemented the group-based ALED model.

Data were collected from the AC and ALED sites for both a process and outcomes evaluation. The primary aims of the process evaluation were to (1) monitor the extent to which the grantees demonstrated fidelity to the AC and ALED models in their program implementation, (2) assess staff experiences implementing the programs, and (3) assess participants' impressions of the programs. A quasi-experimental, pre-post study design was used to assess outcomes. Primary aims of the outcomes evaluation were to evaluate the impact of AC and ALED on self-reported physical activity, and to evaluate the impact of the programs on self-reported stress, depressive symptoms, and satisfaction with body function and appearance. Secondary aims of the outcome evaluation were to (1) evaluate the impact of the programs on measures of functional fitness, (2) examine whether changes in self-reported physical activity and functional fitness were moderated by participant characteristics, including age, gender, race, baseline physical activity self-efficacy, and baseline physical activity social support, and (3) examine whether changes in self-reported physical activity were consistent with a mediation model for physical activity self-efficacy and physical activity social support.

The collection has 14 data files (datasets). Datasets 1-7 constitute the process evaluation data, and Datasets 8-14 the outcomes evaluation data:

Dataset 1 (AC Initial Face-to-Face Sessions Data) contains information about the initial face-to-face AC session: the format, date, and length of the session, whether the 8 steps required in the face-to-face session were completed, what was discussed between the health educator and the participant related to physical activity plans, interests, benefits, and barriers, and the health educator's progress notes. The file contains one record for each AC participant.

Dataset 2 (AC Completed Calls Data) comprises information about the completed AC calls, but does not cover the topics discussed on the calls. Recorded information about each call includes the date and length of the call, the health educator's progress notes, and whether the participant was assessed for injury, light activity, moderate activity, exercise goals, or exercise intentions. Each call is represented by a separate record in the data file and, typically, there are multiple records per participant.

Dataset 3 (AC Topics Discussed on Completed Calls ) contains information about the topics discussed on each completed AC call, e.g., exercise barriers/benefits, previous exercise experiences, goal setting, long term goals, injury prevention, rewards/reinforcement, social support, progress tracking, and relapse prevention. Each record in the file represents one topic and there are often multiple records per call for each participant.

Dataset 4 (AC Aggregate Call Data) aggregates the call data across calls for each AC participant. For example, for a given participant, this dataset shows the total number of calls completed, the number of calls where injury/health problems were assessed, etc. The file contains one record per participant.

Dataset 5 (ALED Sessions Data) contains information about each class session for every ALED group, including the session date, start time, and end time, learning activities covered in the session, participant evaluations of the session and the facilitator, facilitator progress notes, the number of participants who were in various stages of readiness for moderate exercise, and the number of participants who tracked physical activity and thoughts about physical activity. This file has one record for each session of every ALED group.

Dataset 6 (ALED Attendance and Tracking Data (Years 2-4)) consists of participant-level attendance and tracking data for every ALED session during the second to fourth years of the evaluation, including the participant's attendance at the session, whether the participant's stage of readiness was assessed, and whether the participant tracked thoughts about physical activity or actual physical activity. There is no participant-level ALED data for the first year. Each participant has a separate record for each session. Thus, the file contains 20 records per participant in the years 2-3, and 12 records per participant in year 4.

Dataset 7 (ALED Aggregate Attendance and Tracking Data (Years 2-4)) contains ALED attendance and tracking data for each participant in years 2-4, aggregated across the sessions. The data file has one record for each participant.

Dataset 8 (Demographics) comprises program information (e.g., program status, start date, end date, site, etc.), demographic information (e.g., age, gender, race, Hispanic origin, employment status, income, and the participant's state and ZIP code of residence), and responses to the Physical Activity Readiness Questionnaire (PAR-Q), a screening tool that was used to assess possible risks of exercising based on answers to specific health history questions. The file contains one record for each AFL participant, except for those with a status of "nonstarter" or "repeater."

Datasets 9 (Pretest Survey Data) and 10 (Posttest Survey Data) contain data from the Pretest and Posttest Surveys. The Pretest Survey was administered at the beginning of the AC and ALED programs, while the Posttest Survey was administered at their end. Topics covered by the surveys include social and recreational activities, activities undertaken for exercise, perceived stress, depressive symptoms, satisfaction with body appearance and function, social support for physical activity, self-efficacy for physical activity, neighborhood environment, health conditions, health-related quality of life, caregiving, and self-reported height and weight. Both surveys included items from the Community Health Activities Model Program for Seniors Physical Activity Questionnaire (CHAMPS), the Center for Epidemiological Studies Depression Questionnaire (CES-D), the Behavioral Risk Factor Surveillance System Questionnaires (BRFSS), and the International Physical Activity Prevalence Study Environmental Module. These data files each have one record for each participant who submitted a questionnaire.

Dataset 11 (ALED Week 12 Survey Data (Year 4)) contains responses to the ALED Week 12 Posttest Survey, which was used to evaluate the 12-week adaptation of ALED in Year 4. (In Year 4, ALED participants completed both a 12- and 20-week posttest survey). There is one record for each participant who returned this survey.

Dataset 12 (Six-Month Posttest Follow-Up Survey Data (Years 3-4)) comprises data from a special 6-month follow-up survey which was administered in years 3-4 in six of the ALED sites and one of the AC sites. Participants were questioned about their current physical activities, weight, health-related quality of life, satisfaction with bodily function, and other topics. As with Datasets 9-11, the data file contains one record for each participant who returned a questionnaire.

Dataset 13 (Functional Fitness Tests Data) contains the results of pretest and posttest functional fitness tests which were administered by one ALED grantee. Four tests were adminstered: (1) the 30-Foot Walk Test, (2) the 30-Second Chair Stand, (3) 8-Foot Up and Go, and (4) the Chair Sit and Reach Test. This participant-level data file also includes pretest height measurements plus pretest and posttest weight measurements.

Dataset 14 (Participants' Impressions of the Programs (Years 1, 3, and 4)) contains data collected by the last sections of the Posttest Survey, ALED Week 12 survey, and 6-Month Follow-up Survey. The topics it covers include the participants' impressions of the programs, participation in physical activities, and changes (compared to before they started the AFL program) in motivation to be physically active, actual level of physical activity, medical and health conditions, overall pain, flexibility/limberness, level of stress, happiness, and enjoyment of life. The file has a separate record for each survey completed by the participants. Thus, there are 1-3 records per participant.

The Evaluation of the Balance Calories Initiative collection includes datasets consisting of intercept interviews of adults and adolescents regarding their beverage consumption. This data was collected as part of an evaluation of the Balance Calories Initiative (BCI) campaign. The BCI is a campaign launched by the top three American beverage companies (Coca-Cola, Dr Pepper, and Pepsi) to help Americans reduce their consumption of sugar from beverages, especially through increasing interest in low- and no-calorie beverages. The BCI began in 2015, and was introduced to the Mississippi Delta region and Montgomery, Alabama in 2016. Researchers conducted point-of-purchase interviews in the South Delta and Montgomery communities to study the BCI campaign progress in predominantly low-income neighborhoods. Two non-BCI comparison communities matched by population and socio-demographic composition in the region, the North Delta of Mississippi and Birmingham, AL, were also included. Participants were recruited outside of retail food outlets, primarily grocery stores and big box stores, but also restaurants and convenience stores.

Demographic information in this collection include sex, age, race, education level, employment status, marital status, and categorical income.

The National Association of County and City Health Officials' (NACCHO) Forces of Change Survey is an evolution of NACCHO's Job Losses and Program Cuts Surveys (also known as the Economic Surveillance Surveys) which measured the impact of the economic recession on local health departments' (LHD) budgets, staff, and programs. The Forces of Change Survey continues to measure changes in LHD budgets, staff, and programs and assess more broadly the impact of forces affecting change in LHDs, such as health reform and accreditation. More specifically, the survey collected information about LHD staffing levels, workforce reductions, and changes in budget sizes; provided services or functions; changes in the level of service delivery; billing for clinical services; efforts to help people enroll in health insurance from exchanges under the Affordable Care Act; awareness of and involvement in the State Innovation Models Initiative; participation in the Public Health Accreditation Board's national accreditation program for LHDs; and whether LHDs are part of a combined health and human services agency.

The collection is comprised of the restricted-use version (Restricted-Use Level 2) of the Forces of Change 2014 dataset, and includes 140 variables for 648 cases, with demographic variables related to LHD budgets, governance type, and number of employees.

The National Association of County and City Health Officials' (NACCHO) Forces of Change Survey is an evolution of NACCHO's Job Losses and Program Cuts Surveys (also known as the Economic Surveillance Surveys) which measured the impact of the economic recession on local health departments' budgets, staff, and programs. The Forces of Change Survey continues to measure changes in Local Health Department (LHD) budgets, staff, and programs and assess more broadly the impact of forces affecting change in LHDs, such as health reform and accreditation. More specifically, the survey collected information about LHD staffing levels, workforce reductions, and changes in budget sizes; provided services or functions; changes in the level of service delivery; billing for clinical services; efforts to help people enroll in health insurance from exchanges under the Affordable Care Act; awareness of and involvement in the State Innovation Models Initiative; participation in the Public Health Accreditation Board's national accreditation program for LHDs; and whether LHDs were part of a combined health and human services agency.

The collection is comprised of the public-use version (Restricted-Use Level 1) of the Forces of Change 2015 dataset, and includes 101 variables for 690 cases, with demographic variables related to LHD budgets.

The National Association of County and City Health Officials' (NACCHO) Forces of Change Survey is an evolution of NACCHO's Job Losses and Program Cuts Surveys (also known as the Economic Surveillance Surveys) which measured the impact of the economic recession on local health departments' budgets, staff, and programs. The Forces of Change Survey continues to measure changes in Local Health Department (LHD) budgets, staff, and programs and assess more broadly the impact of forces affecting change in LHDs, such as health reform and accreditation. More specifically, the survey collected information about LHD staffing levels, workforce reductions, and changes in budget sizes; provided services or functions; changes in the level of service delivery; billing for clinical services; efforts to help people enroll in health insurance from exchanges under the Affordable Care Act; awareness of and involvement in the State Innovation Models Initiative; participation in the Public Health Accreditation Board's national accreditation program for LHDs; and whether LHDs were part of a combined health and human services agency.

The collection is comprised of the restricted-use version (Restricted-Use Level 2) of the Forces of Change 2015 dataset, which includes 103 variables for 690 cases and demographic variables related to the size of population served and LHD budgets.

The National Association of County and City Health Officials' (NACCHO) Forces of Change Survey is an evolution of NACCHO's Job Losses and Program Cuts Surveys (also known as the Economic Surveillance Surveys) which measured the impact of the economic recession on local health departments' (LHD) budgets, staff, and programs. The Forces of Change Survey continues to measure changes in LHD budgets, staff, and programs and assess more broadly the impact of forces affecting change in local health departments, such as health reform and accreditation. This current iteration of the survey collected information about Zika response; local health departments involvement in multi-sectoral partnerships; and workforce recruitment.

The collection is comprised of the public-use version (Restricted-Use Level 1) of the Forces of Change 2017 dataset, and includes 192 variables for 948 cases, with demographic variables related to LHD budgets.

The National Association of County and City Health Officials' (NACCHO) Forces of Change Survey is an evolution of NACCHO's Job Losses and Program Cuts Surveys (also known as the Economic Surveillance Surveys) which measured the impact of the economic recession on local health departments' (LHD) budgets, staff, and programs. The Forces of Change Survey continues to measure changes in LHD budgets, staff, and programs and assess more broadly the impact of forces affecting change in LHDs, such as health reform and accreditation. This current iteration of the survey collected information about Zika response; LHDs involvement in multi-sectoral partnerships; and workforce recruitment.

The collection is comprised of the restricted-use version (Restricted-Use Level 2) of the Forces of Change 2017 dataset, and includes 195 variables for 948 cases, with demographic variables related to LHD budgets.

The National Association of County and City Health Officials' (NACCHO) Forces of Change Survey is an evolution of NACCHO's Job Losses and Program Cuts Surveys (also known as the Economic Surveillance Surveys) which measured the impact of the economic recession on local health departments' (LHD) budgets, staff, and programs. The Forces of Change Survey continues to measure changes in LHD budgets, staff, and programs and assess more broadly the impact of forces affecting change in LHDs, such as health reform and accreditation. More specifically, the survey collected information about LHD staffing levels, workforce reductions, and changes in budget sizes; provided services or functions; changes in the level of service delivery; billing for clinical services; efforts to help people enroll in health insurance from exchanges under the Affordable Care Act; awareness of and involvement in the State Innovation Models Initiative; participation in the Public Health Accreditation Board's national accreditation program for LHDs; and whether LHDs are part of a combined health and human services agency.

The collection is comprised of the public-use version (Restricted-Use Level 1) of the Forces of Change 2014 dataset, and includes 133 variables for 648 cases, with demographic variables related to LHD budgets, governance type, and number of employees.

These data were collected as part of the evaluation of the Healthy School Program (HSP), a program that provides support to elementary, middle, and high schools in the United States as they work to create healthy school environments that promote physical activity and healthy eating for students and staff. HSP was created in 2006 by the Alliance for a Healthier Generation with funding from the Robert Wood Johnson Foundation. The HSP evaluation addressed both process and impact outcomes:

1. Is the HSP technical assistance and training model effective in increasing the implementation of policies and programs that promote and provide access to healthier foods and more physical activity before, during and after school?

2. Are there distinctive or common school-level characteristics that hasten or hinder school-level implementation of policies and programs that promote and provide access to healthy foods and physical activity in the school setting in HSP schools?

3. Does participation in HSP contribute to an increase in healthy eating behaviors and physical activity participation among students? Does participation in HSP contribute to a decrease in body mass index (BMI) among students?

The evaluation used a mixed-method design incorporating both quantitative and qualitative components. The quantitative component of the evaluation was a longitudinal design that measured student changes in eating and physical activity behaviors and BMI and schools' implementation of policies and practices promoted by HSP. For the qualitative component the evaluation team conducted site visits in a sample of HSP schools.

Nine data files constitute this data collection:

1. HSP Participation and Inventory Data File, 2006-2011 (originally called the Inventory Data File)

2. Pilot Student Survey Data File

3. Pilot Student Height and Weight Measurements Data File

4. Survey of Students in Boston and Miami-Dade Public Schools Data File

5. HSP Participation and Inventory Data File, 2006-2014

6. Arizona, Prince George's County and Nevada Healthy Schools Youth Survey Data File

7. Arizona and Prince George's County Youth Height and Weight Measurements Data File

8. Arizona Academic Achievement Data File

9. Prince George's County School Wellness Coordinator Survey Data File

Dataset 1 contains data on school characteristics, HSP engagement indicators, baseline and follow-up responses to the Healthy Schools Inventory, and indices derived from the Inventory for all HSP schools as of August 2011. The Inventory collected information about each school's adherence to the Healthy Schools Program Framework, a set of best practice guidelines that promote physical activity and healthy eating among students and staff.

Datasets 2, 4 and 6 contain data from baseline and follow-up administrations of the Healthy Schools Youth Survey questionnaire in three samples of HSP schools: students in grades 5-12 in the initial pilot cohort of HSP schools; students in grades 5, 8 and 10 in the 2007-2008 cohort of HSP schools in Boston, Massachusetts and Miami-Dade County, Florida; and students in grades 5, 8 and 10 or 11 in HSP schools in Arizona, Nevada and Prince George's County, Maryland. Topics covered by the Healthy Schools Youth Survey questionnaire include eating and physical activity habits, attitudes about healthy eating and physical activity, health knowledge, and school food environments.

Datasets 3 and 7 contain baseline and follow-up height and weight measurements and derived BMIs, the former for students in grades 4-12 in schools sampled by the Pilot Student Survey and the latter for students in grades 5, 8, and 10 in Arizona and grades 1-12 in Prince George's County in schools sampled by the Arizona, Prince George's County and Nevada Healthy Schools Youth Survey.

Dataset 5 is an update to Dataset 1. Like Dataset 1 it contains data on HSP participation and engagement and school characteristics. Dataset 5 covers 8,500 schools that participated in HSP through fall 2014. It includes 4,028 of the 4,542 schools in Dataset 1.

Dataset 8 contains average math, reading and language scores for grades in HSP and comparable non-HSP schools in Arizona. Every record in the data file represents a grade (one or more of the grades 2-9) within a school (150 schools) for a given school year (up to seven years 2007-2008 to 2013-2014).

Dataset 9 contains data from a survey of HSP school coordinators in Prince Georges County. The coordinators were interviewed about the implementation of HSP in their schools.

ICPSR did not receive the site visit data.

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

In long-term care, frontline supervisors play a central role in direct care workers' (DCW) job quality and turnover and are critical to the implementation of management changes. To better understand supervisors' perceptions of management practices, the quality of supervision, and the effect on DCW turnover and job quality, the Office of the Assistant Secretary for Planning and Evaluation in the United States Department of Health and Human Services contracted with Pennsylvania State University to conduct this survey of supervisors participating in the Better Jobs, Better Care (BJBC) demonstration. Funded by the Robert Wood Johnson Foundation and The Atlantic Philanthropies, the BJBC demonstration -- which took place in Iowa, North Carolina, Oregon, Pennsylvania, and Vermont -- tested innovative policy and practice models designed to improve the quality of DCW jobs in an effort to improve recruitment and retention of these workers and strengthen capacity to meet future demand for long-term care.

Frontline supervisors were interviewed from the four types of facilities and agencies that participated in the demonstration: skilled nursing facilities, assisted living facilities, home care agencies, and adult day service providers. The survey explored the supervisors' job responsibilities, formal training, job satisfaction, and thoughts about quitting. It investigated the culture of the organizations in which the supervisors worked, probed for problems with the supervisors' jobs, assessed how rewarding the supervisors felt their jobs were, inquired as to whether the supervisors felt respected by their clients, DCWs, and managers, gauged the supervisors' assessments of the overall competency level of the DCWs in their organizations, and explored the supervisors' beliefs about managerial support for the BJBC project, how well the BJBC programs were executed, and whether the overall impact of the project was positive.

In addition, the respondents were queried about management practices (e.g., rotation of assignments to different services or units, mechanisms to handle employee concerns, and approaches used to handle poor performance or negative behaviors among employees). They were also asked about DCW training, mentoring, and career ladder programs, DCW participation in patient/resident/client care plans, and communication among DCWs and between DCWs and their supervisors. Respondents were also asked what was the most important thing that their employer could do both to improve the jobs of DCWs and to improve their own ability to do their jobs as supervisors of DCWs. Additional information collected by the survey includes the supervisors' age, sex, race, Hispanic origin, educational attainment, nursing degree or license (LPN, RN, Diploma RN, BSN, MSN, or Advanced Practice Nurse), wages, and health insurance coverage.

This collection comprises three data files: (1) Supervisor Identification Instrument Data, (2) Supervisor Survey Data, and (3) Clinical Managers Who Are Also Supervisors Data. The first file contains information collected by the Supervisor Identification Instrument that was submitted to the clinical manager at each BJBC provider organization. This instrument instructed clinical managers to name all of the supervisors in their organization and to indicate which supervisory responsibilities each one performed. The second data file contains the responses to the Supervisor Survey questionnaire.The third data file contains the responses of clinical managers who also functioned as supervisors in their organization. These clinical managers responded to the same questions in the Supervisor Survey questionnaire, except for ten questions that were worded somewhat differently.

The current collection includes data collected as part of a planned evaluation of New York City's proposed soda portion cap policy. Baseline data collection was conducted in three waves. Wave 1 began in early January 2013 and ended in April 2013; Wave 2 was conducted from August to November 2013; and Wave 3 was conducted between January and June 2014.

Data was collected at point-of-purchase on the availability, sizing, promotion, and cost of beverages in the fast food restaurants of New York City, New York and of Newark and Jersey City in New Jersey. This data was also collected in these areas for their nearest convenience stores/bodegas and supermarkets. Consumer receipts were also gathered to supplement this survey data. Additional data collection was conducted using environmental scans of fast food and grocery store locations to evaluate the healthfulness of the beverage environment. Lastly, some participants also completed a telephone interview where data was gathered on participant's dietary recall.

These data are intended to gather a fuller picture of the factors that may influence beverage purchases.

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.

The National Study of Physician Organizations and the Management of Chronic Illness (NSPO) was designed to improve understanding of evidence-based care management processes (CMPs) as they relate to physician organizations (POs), that is, independent practice associations (IPAs) and medical groups. Since the first NSPO survey of physician organizations in 2000-2001 (NSPO1, archived as ICPSR 4455), considerable investments have been made by a number of different sources, including the Robert Wood Johnson Foundation, the California Healthcare Foundation, and The Commonwealth Fund, to bring about improved care for the chronically ill. This survey, the second NSPO survey of IPAs and medical groups (NSPO2), examined the extent to which the investments in quality improvement were translated into action. NSPO2 assessed the status of CMPs and preventive services use as well as their key drivers in 2006-2007 and the extent to which these factors have changed over time. As in the first NSPO survey, NSPO2 focused on the treatment of four chronic diseases: asthma, congestive heart failure (CHF), depression, and diabetes. Topics covered by the survey include practice type, size, age, ownership, and number of locations; clinical information systems; care management and clinical practice; activities of health insurance plans in chronic illness care; performance incentives; preventative care and health promotion; and organizational culture.

This collection has two data files. The first file contains the NSPO2 survey data, while the second contains a crosswalk between the NSPO1 and NSPO2 case identification numbers which can be used to link the data of the POs that responded to both surveys. Altogether, 369 of the 1,104 POs that responded to NSPO1 also responded to NSPO2.

The Robert Wood Johnson Foundation (RWJF) began its New Connections Program in 2005, motivated by the belief that high-quality research and evaluation that addresses the nation's health demands diverse perspectives. As of December 2011, New Connections has supported the career development of 100 grantees: junior researchers and mid-career professionals from historically disadvantaged and underrepresented communities. In addition, the program has provided overall support to a larger network of over 1,200 scholars from these same communities. This study comprises data from three surveys that were conducted as part of the evaluation of New Connections: the Grantee Process Survey, Grantee Network Survey, and Larger Network Survey.

The Grantee Process Survey interviewed New Connections grantees about their accomplishments and participation in professional activities, confidence in various abilities before and after they became grantees, satisfaction with support from New Connections, the extent to which New Connections improved their knowledge and skills, and the extent to which they agreed or disagreed that the program affected their ability to obtain their current position or made them more influential in their work settings.

The Grantee Network Survey questioned New Connections grantees about the persons from whom they would seek support, guidance, or information; expertise; work with; or communicate with about what they needed to be successful in their current positions and to advance in their careers (e.g., to get tenure, a promotion, or a leadership position).

The Larger Network Survey interviewed members of the larger network about their participation in New Connections activities, their interactions with New Connections grantees and the larger network, the extent to which the program improved their knowledge and skills, the extent to which they agreed or disagreed that New Connections affected their ability to obtain their current position, and their satisfaction with the program.

There is a separate data file for each survey. Together with the survey responses, all three files include information from the program's administrative records, such as the highest degree earned, institution type, field of work, race and Hispanic ethnicity, first generation college student status, and low income status. In addition, the Grantee Process Survey data file contains variables derived from the respondents' curriculum vitae that show the number of grantee presentations and publications before, during, and after the New Connection grants.

This survey was conducted as part of the New Jersey Childhood Obesity Study, a project designed to provide vital information for planning, implementing, and evaluating interventions aimed at preventing childhood obesity in five New Jersey municipalities: Camden, Newark, New Brunswick, Trenton, and Vineland. Conducted among households with 3-18 year old children in the 5 cities, the survey interviewed the adult who made most of the decisions about food shopping in each household. The survey examined perceptions about food and physical activity environments in the five cities, investigated barriers related to access to healthy food and physical activity facilities, and collected information on the height and weight and food and physical activity behaviors of the cities' 3-18 year old children and the adult respondents. In addition, the survey collected demographic information about the household members.

Four linkable datasets contain the survey data: the Household File, Index Child File, Adult File, and All Child File. The Household File covers household and neighborhood characteristics, while the Index Child File describes the characteristics and behaviors of a randomly selected 3-18 year old child in the household, who is designated the "index child" and is the primary unit of analysis. The Adult File comprises characteristics and behaviors of the adult respondent, and, lastly, the All Child File covers a few characteristics of all children aged 3-18 in the household.

The NCS-2 was a re-interview of 5,001 individuals who participated in the Baseline (NCS-1). The study was conducted a decade after the initial baseline survey. The aim was to collect information about changes in mental disorders, substance use disorders, and the predictors and consequences of these changes over the ten years between the two surveys. The collection contains four major sections: the main survey, demographic data, diagnostic data, and state, county, and tract FIPS data.

In the main survey, respondents were asked about general physical and mental health. Questions focused on a variety of health issues, including limitations caused by respondents' health issues, substance use, childhood health, life-threatening illnesses, chronic conditions, medications taken in the past 12 months, level of functioning and symptoms experienced in the past 30 days, and any services used by the respondents since the (NCS-1). Additional questions focused on mental disorders including depression, bipolar disorder, specific and social phobias, generalized anxiety, intermittent explosive disorder, suicidality, post-traumatic stress disorder, neurasthenia, pre-menstrual dysphoric disorder, attention deficit/hyperactivity disorder, oppositional defiant disorder, conduct disorder, and separation anxiety. Respondents were also asked about their lives in general, with topics including employment, finances, marriage, children, their social lives, and stressful life events experienced in the past 12 months. Additionally, two personality assessments were included consisting of respondents' opinions on whether various true/false statements accurately described their personalities. Another focus of the main survey dealt with substance use and abuse, nonmedical use of prescription drugs, and polysubstance use. Interview questions in the NCS-2 Main Survey were customized to each respondent based on previous responses in the Baseline (NCS-1).

The second part contains demographic and other background information including age, education, employment, household composition, household income, marital status, and region.

The third part focuses on whether respondents met diagnostic criteria for psychological disorders asked about in the main survey.

The fourth part contains respondents' state, county, and tract FIPS data.

The Children's Futures initiative was designed to enhance the health and well-being of children from birth to age three in Trenton, New Jersey through three major strategies: (1) Improving access to prenatal care and strengthening effective parenting; (2) Improving the quality of child care; and (3) Strengthening and sustaining positive involvement of fathers in their children's lives. As part of the initiative, data were simultaneously collected to assess the effectiveness of the initiative.

The data collection efforts included a baseline survey of the Trenton community conducted in 2002 and surveys of Trenton child care providers conducted in 2003, 2004, and 2005. In addition, births records for Trenton, Camden, and Newark were obtained from the New Jersey State Department of Health. These survey and birth records data were released as ICPSR 21640: Evaluation of Children's Futures: Improving Health and Development Outcomes for Children in Trenton, New Jersey, 2001-2005. The data from the 2002 community survey represents a baseline picture of the primary caregivers of children ages 0-5 in Trenton on a set of outcomes, among them parenting behaviors and strategies that the initiative hoped to influence.

This data collection contains the data from two follow-up community surveys. Like the baseline community survey, the follow-up surveys interviewed the primary caregivers of children aged 0-5 in Trenton households about child and parental health, parenting practices, fathers' involvement in their children's lives, health insurance and health care utilization, attendance at parenting groups or classes, and utilization of child care. In addition, the surveys collected information on country of birth, year of immigration, race, Hispanic origin, education, employment status, alcohol use, earnings, and household income.

The community surveys followed a repeated cross-sectional design. That is, individual community residents were not followed over time; rather, at each wave of data collection, a new sample of respondents were interviewed.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Health Issues Survey, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include:

• Important health issues

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Public Health Survey, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include:

• Goals of health professionals

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Poll: Health Issues Survey, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include:

• Important health issues

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Health Care Issues, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include:

• Important health issues

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Public Health Priorities, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include:

• Goals of health professionals

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Health Care Priorities, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include:

• Goals of health professionals

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Health Care Priorities, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include:

• Important health issues
• Laws

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.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Poll #2000-6672: Illegal Drugs and End of Life Survey, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include:

• Illegal drug use
• Terminally ill patients

The NCS-2 was a re-interview of 5,001 individuals who participated in the Baseline (NCS-1). The study was conducted a decade after the initial baseline survey. The aim was to collect information about changes in mental disorders, substance use disorders, and the predictors and consequences of these changes over the ten years between the two surveys. The collection contains three major sections: the main survey, demographic data, and diagnostic data.

In the main survey, respondents were asked about general physical and mental health. Questions focused on a variety of health issues, including limitations caused by respondents' health issues, substance use, childhood health, life-threatening illnesses, chronic conditions, medications taken in the past 12 months, level of functioning and symptoms experienced in the past 30 days, and any services used by the respondents since the (NCS-1). Additional questions focused on mental disorders including depression, bipolar disorder, specific and social phobias, generalized anxiety, intermittent explosive disorder, suicidality, post-traumatic stress disorder, neurasthenia, pre-menstrual dysphoric disorder, attention deficit/hyperactivity disorder, oppositional defiant disorder, conduct disorder, and separation anxiety. Respondents were also asked about their lives in general, with topics including employment, finances, marriage, children, their social lives, and stressful life events experienced in the past 12 months. Additionally, two personality assessments were included consisting of respondents' opinions on whether various true/false statements accurately described their personalities. Another focus of the main survey dealt with substance use and abuse, nonmedical use of prescription drugs, and polysubstance use. Interview questions in the NCS-2 Main Survey were customized to each respondent based on previous responses in the Baseline (NCS-1).

The middle section contains demographic and other background information including age, education, employment, household composition, household income, marital status, and region.

The last section of the collection focused on whether respondents met diagnostic criteria for psychological disorders asked about in the main survey.

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Poll: Drinking and Driving Survey, a survey from the Harvard School of Public Health and the Robert Wood Johnson Foundation conducted by ICR-International Communications Research. Topics covered in this survey include:

• Chronic disease
• Important health issues
• Drunk drivers

This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data.

This collection includes variable-level metadata of Poll # 2001-845Q: Most Important Health Problems, a survey by Harvard School of Public Health/Robert Wood Johnson Foundation conducted by ICR Survey Research Group. Topics covered in this survey include:

• Important health problems
• Health care problems