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Multicity Study of the Impact of Taxes on Sugar-Sweetened Beverages, Philadelphia, Pennsylvania and Oakland, California Metropolitan Areas, 2016-2018 (ICPSR 37925)

Released/updated on: 2022-08-09
Geographic coverage: United States, California, Oakland, Philadelphia, Pennsylvania
Time period: 2016-01-01--2018-01-01

The Multicity Study of the Impact of Taxes on Sugar-Sweetened Beverages was a multi-year study intended to provide comprehensive information about the impacts of sugar-sweetened beverage taxes on retail prices, purchases, and consumption. The study was conducted in two cities that recently implemented an excise tax on sugar-sweetened beverages: Philadelphia, PA and Oakland, CA.

The study consists of six datasets, with three datasets covering Philadelphia and three covering Oakland. The store observation data contain price information for sodas, juices, and other beverages. The purchase datasets contain information from survey questions fielded at stores, including basic demographic information (race and ethnicity, gender, income), the number of people in the participant's household, and how often they shop for beverages at that store and others. The household datasets contain information from survey questions fielded during the household beverages consumption survey; it includes demographic information and beverage consumption information for a household adult and a household child.

The study also included an analysis of strategic responses to the taxes, including cross-border shopping by consumers, and retailers changing the availability of various beverages.

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Adolescent Substance Abuse Prevention Study (ASAPS), 2001-2006 [Detroit, Houston, Los Angeles, Newark, New Orleans, St. Louis] (ICPSR 28641)

Released/updated on: 2012-02-29
Geographic coverage: Detroit, United States, New Orleans, Los Angeles, Newark, St. Louis, Houston
Time period: 2001-01-01--2006-01-01

The Adolescent Substance Abuse Prevention Study (ASAPS) was a randomized field trial designed to test the effectiveness of a new school-based substance abuse prevention program called Take Charge of Your Life (TCYL). The program consisted of two curricula, one for middle schools and the other for high schools, which were delivered through the Drug Abuse Resistance Education network of law enforcement officers (D.A.R.E.). TCYL was developed building on existing D.A.R.E. seventh/eighth grade and tenth/eleventh grade curricula and applied principles and strategies suggested by published literature on effective drug abuse prevention programming and effective middle and high school curricula design. ASAPS was conducted among a 2001-2002 multi-site cohort of seventh graders who were followed for five years until the 2005-2006 school year when they were in the eleventh grade. The first TCYL curriculum was delivered in the treatment schools when the students were in seventh grade and the second was delivered when they were in the ninth grade.

Over the five-year study period, the treatment and control students responded to seven self-administered surveys: (1) at baseline in the seventh grade, (2) post-intervention in the seventh grade, (3) in the eighth grade, (4) pre-intervention in the ninth grade, (5) post-intervention in the ninth grade, (6) in the tenth grade, and (7) in the eleventh grade. Topics covered by the surveys include normative beliefs, social skills, attitudes toward drug use, and self-reported use of alcohol, tobacco, marijuana, and other illicit drugs. The ASAPS data also include measures of implementation fidelity of the seventh and ninth grade TCYL curricula, which were obtained from trained observers who rated the D.A.R.E. officers' delivery in the classroom. The fidelity measures encompass content coverage and instructional strategy.

This data collection comprises two data files, both with public- and restricted-use versions. The first (the Main Data File) contains the students' survey responses and the seventh grade curriculum fidelity measures, while the second (the 9th Grade Officer Observations Data) contains the ninth grade curriculum fidelity measures.

The following results may be significantly less relevant compared to results above.
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Project HealthDesign: iN Touch - Obese Teens and Young Adults Using Mobile Devices to Track Observations of Daily Living, 2011 (ICPSR 36026)

Released/updated on: 2024-02-14
Geographic coverage: San Francisco, United States, California
This study examined the potential of collecting observations of daily living (ODLs) via mobile devices for youths who are managing obesity and are at risk for depression and anxiety. Leveraging TheCarrott.com (thecarrot.com) utilities and data storage platform, the iN Touch design team developed an application for the iPod Touch that study participants used to record their physical activity, food intake, socialization and mood. Study participants shared this information with their lay health coaches and collaboratively set goals with them. The data file contains the ODL information collected with the iPod Touch application.
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21st Century School Study Neighborhood Audit Data, Baltimore, Maryland, 2016 (ICPSR 37515)

Released/updated on: 2022-10-27
Geographic coverage: Baltimore, United States, Maryland

Over half of public school buildings across the country fail to provide adequate conditions for students to learn and school staff to work. Prior research has established an evidence base of associations between high-quality school building facilities and student, staff, school, and community health and education outcomes. Recognizing this research and the need for facility improvements, Maryland has approved the 21st Century School Buildings Program, which is paid for by Baltimore City Public Schools (City Schools), the State of Maryland, and the City of Baltimore. The program will invest close to $1 billion to renovate or replace over two dozen school buildings. City Schools, with support from the Fund for Educational Excellence, selected the RAND Corporation to study the impact of new school buildings on student, staff, school, and community outcomes.

The goal of this first phase was to collect data prior to the start of the Baltimore 21st Century Building Program and conduct initial exploratory analyses of data from treatment schools (i.e., schools slated for renovation or rebuilding) and comparison schools (i.e., schools with similar student and school characteristics but not slated for renovation or rebuilding). The data compiled here are audits of the street segments immediately surrounding those target schools. These observations from Spring 2016 were collected in an effort to document the conditions and features of the neighborhoods prior to school building renovations.

This data collection describes baseline neighborhood characteristics prior to the 21st Century Buildings School Program. For more information about the Baltimore City Schools and the 21st Century School Building Program, please visit the 21st Century Schools website.

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Project HealthDesign: BreathEasy - A Personal Health Record Application For Adults With Asthma, 2011-2012 (ICPSR 36027)

Released/updated on: 2024-02-14
Geographic coverage: Virginia, Richmond
Time period: 2011-01-01--2012-01-01
Asthma is a chronic illness that affects more than 23 million adults in the United States. In addition to respiratory symptoms associated with the disease, individuals with asthma are also more likely to experience depression and anxiety. The BreathEasy team designed a mobile application built on the latest clinical guidelines for treatment and self-monitoring for patients with asthma. Patients with asthma used the application on smartphones to capture and report observations of daily living (ODLs) such as use of controller and rescue medications, asthma symptoms (including peak flow rates), depression and anxiety symptoms, encounters with asthma triggers, physical activity levels (including accelerometer based data), sleeping problems, and smoking. Clinicians used a web based dashboard with simple analysis and visualization tools that allowed them to quickly view the patients' data, evaluate their health statuses, and communicate changes in treatment or monitoring. This data collection contains the ODL data recorded by the patients.
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Project HealthDesign: Chronology.MD - Personal Health Record Applications for Patients With Crohn's Disease, 2011-2012 (ICPSR 36028)

Released/updated on: 2024-02-14
Geographic coverage: San Francisco, California
Time period: 2011-01-01--2012-01-01
More than 600,000 people in the United States live with Crohn's disease, a chronic and progressive disorder of the digestive system which is most prevalent in young adults ages 18-35. The Chronology.MD team developed two mobile applications to help patients who have Crohn's disease create visually aided narratives of their condition and responses to treatment. Crohn's patients used the Chronology app to enter observations of daily living (e.g., levels of abdominal pain, energy, and stress); enter clinical data (levels of B-12, C-Reactive Protein, HTC and iron in the blood); automatically upload weight data using Withings scales; and automatically uploaded sleep and exercise data from Fitbit body monitors. The Crohnograph app enabled patients to view time trends for tracked ODLs and other data, explore possible associations among them, and show the data visualizations to their health care provider. The providers could document information from the visualization and conversations in clinical notes. This data collection comprises the data collected using the Chronology app from the patients who participated in the Chronology.MD study.
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The Future of Families and Child Wellbeing Study (FFCWS), Public Use, United States, 1998-2024 (ICPSR 31622)

Released/updated on: 2026-04-06
Geographic coverage: United States
Time period: 1998-01-01--2024-01-01

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.

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Active for Life: Translation of Physical Activity Programs for Mid-Life and Older Adults, 2003-2007 [United States] (ICPSR 24723)

Released/updated on: 2024-02-14
Geographic coverage: North Carolina, District of Columbia, United States, Tennessee, California, Michigan, Pennsylvania, Illinois, Texas, Missouri, Ohio, Virginia, Maryland
Time period: 2003-01-01--2007-01-01

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.

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Randomized Experiment of Playworks Analytic Files for 2010-2011 and 2011-2012 Cohorts in Six United States Cities (ICPSR 35638)

Released/updated on: 2024-02-14
Geographic coverage: United States
Time period: 2011-01-01--2012-01-01
The Robert Wood Johnson Foundation (RWJF) contracted with Mathematica Policy Research and its subcontractor, the John W. Gardner Center for Youth and Their Communities (JGC) at Stanford University, to conduct a rigorous evaluation of Playworks, a program for structured play during recess, class time and after school in low-income school districts. These data were collected as part of the evaluation. Twenty-nine urban schools interested in implementing Playworks were randomly assigned to treatment and control groups during the 2010-2011 (cohort 1) or 2011-2012 (cohort 2) school years. During the one-year study period for each cohort, treatment schools received Playworks and control schools were not eligible to implement Playworks. Mathematica and JGC collected data from students, teachers and school staff at 25 cohort 1 schools in spring 2011 and an additional four cohort 2 schools in spring 2012 to document the implementation of Playworks and assess the program's impact on key outcomes related to school climate; conflict resolution and aggression; learning and academic performance; youth development; student behavior; and play, physical activity and recess. Data collection activities included administration of student and teacher surveys, collection of physical activity data via accelerometers, structured observations of recess periods and collection of administrative records.
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Project HealthDesign: Estrellita - An Application for Tracking Observations of Daily Living Related to Preterm Infants, 2011-2012 (ICPSR 36029)

Released/updated on: 2024-02-14
Geographic coverage: Orange County, California
Time period: 2011-01-01--2012-01-01
More than 12 percent of all United States births each year are preterm. To improve the care of these infants, which have an increased risk of serious developmental and chronic health problems, the Estrellita team created a mobile phone application to monitor premature infants and their caregivers. This app allows caregivers to better understand the infant care process and to more easily interact with clinicians about themselves and the care of their infants. Caregivers used the Estrellita app to record their own stress levels and mood and their infants' observations of daily living (ODL) such as baby fussiness, diapering, weight, and bonding activities with the babies. In addition, the app allowed the caregivers to track clinical appointments, review the ODL data, and send and receive text messages from clinicians.
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Impact of the NYC Sugar Sweetened Beverage Policy on Calories Purchased and Consumed: Data on Fast Food Purchases, Dietary Patterns, and Retail Beverage Environments in New York City, Newark, and Jersey City, 2013-2014 (ICPSR 37143)

Released/updated on: 2018-10-15
Geographic coverage: New York City, Jersey City, United States, Newark, New York (state), New Jersey
Time period: 2013-01-01--2014-01-01

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.

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Primary Care Audit Study for 10 States in the United States, 2012-2013, 2014 & 2016 (ICPSR 36785)

Released/updated on: 2018-10-10
Geographic coverage: Oregon, Montana, Iowa, United States, Illinois, Texas, Massachusetts, Georgia, Arkansas, New Jersey, Pennsylvania
Time period: 2012-01-01--2013-01-01, 2014-01-01--2014-01-01, 2016-01-01--2016-01-01

Coverage expansion under the Affordable Care Act (ACA) has important implications for access, and the value of coverage is dependent on the ability to access care. Most information about access to care comes from household or physician surveys.

The current data collection was gathered as a part of the Primary Care Audit Study for 10 States in the United States, 2012-2013, 2014 and 2016 to assess variation in access to primary care using a methodology that was applied across different types of states (Arkansas, Georgia, Illinois, Iowa, Massachusetts, Montana, New Jersey, Oregon, Pennsylvania, and Texas) at baseline and over-time. The project was broken up into three phases: before the ACA (2012-2013), during the launch of ACA coverage provisions such as the Medicaid fee bump and ACA marketplaces (2014), and after the full ACA implementation (2016). Insurance types in the study included commercial coverage, Medicaid, uninsured, and, in 2014 and 2016, plans purchased on the ACA market place.

The audit-level file, featured in part one of the collection, includes all completed calls and provides information from multiple dimensions (appointment availability, wait times, simulated patients' demographics, cost information, etc.).

The office-level file, featured in part two of the collection, covers all eligible offices and their characteristics (e.g., size, insurance acceptability, cost information, etc.) collected from the screening phase.

Demographic variables include simulated caller number, race, gender, and age.

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Pathways to Adulthood: A Three-Generation Urban Study, 1960-1994: [Baltimore, Maryland] (ICPSR 2420)

Released/updated on: 2019-11-26
Geographic coverage: Baltimore, United States, Maryland
Time period: 1960-01-01--1994-01-01
This collection incorporates both prospective and retrospective data on three generations of families initially living in inner-city Baltimore, Maryland. The prospective data were selected from data collected as part of the Johns Hopkins Collaborative Perinatal Study (JHCPS), a survey of pregnant women seeking prenatal care and delivery at Johns Hopkins Hospital during 1960-1964. JHCPS studied these women (the first-generation mothers, abbreviated as G1) and the children born to them during 1960-1965 (the second-generation children, abbreviated as G2) until the children were 8 years old. The retrospective data come from a follow-up study, conducted in 1992-1994, of G1, G2, and the children born to G2 (the third-generation children, abbreviated as G3). Data from JHCPS on G1 include obstetrical and reproductive history at registration for prenatal care, sociological/family history variables at or around delivery of G2, observations of mother with child when G2 was 4 months old and 8 months old, and family history, demographic, and sociological variables when G2 was age 7. For G2, the data from JHCPS include delivery room observations at birth, pediatric examination data at age 4 months, developmental evaluation data at age 8 months, pediatric-neurological examination data at age 12 months, language, hearing, and speech evaluation summary data at age 36 months, psychological, behavior profile, physical growth, and other tests at age 48 months, psychological, motor, behavior, neurological, vision, physical, and other tests at age 7-1/2 years, and language, hearing, and speech evaluations, physical growth, interval medical history, and other tests at age 8 years. Retrospective data from the follow-up study on G1 include variables on education, employment, family composition, health and health care usage, housing conditions, income and income sources, marital status, partnerships and changes, neighborhood characteristics at registration to JHCPS and current, and reproductive history. For G2, data from the follow-up include information on aspirations, education, schooling, employment, family composition, health and health care usage, housing conditions, income and income sources, legal problems, living arrangements, marriage, partnership and changes, neighborhood characteristics at birth, at ages 11/12 and 16/17, and current, reproductive history, social relationships, smoking, and substance abuse. Data for the assessed third-generation children, i.e., G3s who were 7-8 years old during the follow-up period, include information on cognitive development, academic achievement and behavior, prenatal care, health, day care, and parental aspirations.
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Physician Responses to Medicare Payment Reductions: Impacts on the Public and Private Sectors, 1988-1991 (ICPSR 6563)

Released/updated on: 2024-02-14
Geographic coverage: United States
Time period: 1988-04-01--1991-12-01
The purpose of this study was to investigate the effects on physician behavior of decreases in Medicare payment rates for surgical procedures. The study examined the volume of services provided, billed charges, and the selection of diagnostic or therapeutic alternative procedures, or clinically unrelated procedures, for Medicare and privately-insured patients. Also studied were the proportion of physician income derived from Medicare and the profitability of procedures as they related to the volume of services provided. This data collection comprises observations for 21 surgical procedure groups in the specialty areas of general surgery, gastroenterology, orthopedic surgery, ophthalmology, urology, gynecological surgery, thoracic surgery, and cardiology, from up to 187 hospitals and for up to 15 quarters. Efforts were made to include high volume and expensive procedures. Excluded were radiology, pathology, or other lab procedures, and procedures that had experienced erratic changes in volume due to changes in technology or changes in national standards. Also included in this collection are hospital characteristics and county-level data pertaining to number of hospital beds, per capita income, licensed practical nurse and registered nurse wages, doctors per 1000 population, and health maintenance organization enrollees per 1000 population.
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State Risk Pool Utilization and Cost Data, 1988-1991: [Connecticut, Florida, Minnesota, Nebraska, Washington, and Wisconsin] (ICPSR 6794)

Released/updated on: 2024-02-14
Geographic coverage: Connecticut, Minnesota, Florida, Wisconsin, Washington, Nebraska
Time period: 1988-01-01--1991-12-31
This study comprises enrollment, utilization, and cost data for a number of state-sponsored high-risk health insurance plans. These plans, known as state risk pools, were primarily established for persons who wanted to buy health insurance but either were medically uninsurable or unable to find a policy at a reasonable cost. Enrollment variables in the data collection include reason for eligibility, preexisting conditions, Medicaid status, and month and year of enrollment and disenrollment. Utilization and cost variables include person's age and gender, coinsurance and deductible payments, and allowed charges by type of disease and type of service (outpatient, inpatient, pharmacy, or physician). The utilization and cost data are aggregated by person and month, with each observation representing a single month of enrollment for an individual.
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United States Hospital AIDS/HIV and Pediatric AIDS/HIV Care Survey, 1988, 1989, AND 1991 (ICPSR 6455)

Released/updated on: 2006-01-12
Geographic coverage: United States
The purpose of this study was to obtain information on hospital-based treatment of persons with Acquired Immune Deficiency Syndrome (AIDS) and other Human Immunodeficiency Virus (HIV)-related illnesses. Aggregate data were obtained from each surveyed hospital, with the hospital as the unit of observation. Topics covered included patient demographics, service volume and structure, sources of payment, and types of services and treatments rendered. Information was also solicited on inpatient and outpatient AIDS/HIV hospital utilization, patient discharge disposition and likely mode of exposure, hospital community AIDS/HIV education programs, and policies for the treatment of AIDS/HIV patients, for employees with AIDS/HIV, and for the confidentiality of AIDS/HIV patients. Additionally, hospital administrators were queried about monitoring and tracking of outpatient services and the existence of special hospital-operated AIDS/HIV outpatient clinics. Financial characteristics covered included net revenues, costs, and charges for inpatient and outpatient AIDS/HIV services, payer source, and methods used to determine costs. In 1989 and 1991, separate data were obtained for pediatric AIDS/HIV patients.
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Effects of Preferred Provider Organizations on Health Care Use and Costs: Pooled Cross-Sectional Time Series, First Quarter 1988 Through First Quarter 1990 (ICPSR 6373)

Released/updated on: 2006-01-12
Geographic coverage: United States
Time period: 1988-01-01--1990-03-31
This research project studied the effects of Preferred Provider Organizations (PPOs) on health care use and costs in comparison with indemnity health care plans and indemnity plans with utilization review (UR). The data cover nine quarters of a single insurer's claims experience with these types of health care plans. The unit of observation is the employer group covered by a given plan. Variables describing claims experience include number of claims, reimbursed costs after copayments and deductibles, hospital expenditures, number of hospital admissions, percent of claims in different diagnostic categories (surgery, tumors, births, and mental health), and number of tonsillectomy/adenoidectomy and colonoscopy cases. Reported characteristics of these groups include coinsurance rates, plan type, industry of employer, group mean age, percent of covered lives with dental or prescription drug coverage, and percent of covered lives that were women or dependents. In addition, the data contain variables describing the market in which each group was located, such as number of hospital beds in the city or county, number of hospitals and health maintenance organizations in the metropolitan statistical area, median rental cost for housing units in the city or county, percent of county or city that was Black or age 65 or older, number of nonfederal physicians in the county, and number of PPOs in the state.
Curated

Use of Radiology and Laboratory Tests Among Selected Inpatients in Canadian and United States Hospitals, 1990-1991 (ICPSR 6539)

Released/updated on: 1998-06-12
Geographic coverage: Canada, United States, Global
Time period: 1990-01-01--1991-01-01
The purpose of this study was to compare the use of radiology and laboratory tests provided to inpatients admitted with specific medical and surgical Diagnosis-Related Groups (DRGs) to four hospitals in the United States and four hospitals in Canada. These DRGs covered specific cerebral vascular accidents (except transient ischemic attack), simple pneumonia and pleurisy with complications and comorbidities (CC), acute myocardial infarction with CC, acute myocardial infarction without CC, appendectomy with CC, major joint or limb reattachment procedures, hip and femur procedures with major joint procedure, uterine/adnexa procedures for nonmalignancy with CC, and uterine/adnexa procedures for nonmalignancy without CC. Patient admissions are the units of observation. For each patient admission, relative value units are given for radiology and laboratory tests that were administered, including biochemistry tests, hematology/coagulation tests, vascular radiology tests, nuclear medicine tests, ultrasound tests, and X-rays. Additional data cover patient age, gender, length of hospital stay, and principal discharge diagnosis.
Curated
Partially restricted

Robert Wood Johnson Foundation Family Health Insurance Survey, 1993 (ICPSR 6894)

Released/updated on: 2005-06-22
Geographic coverage: Oregon, Vermont, New York, United States, New Mexico, Oklahoma, Colorado, Minnesota, Florida, North Dakota, Washington
Time period: 1993-01-01--1994-01-01
This survey investigated health insurance coverage, as well as access to and use of health services, in each of ten states. With the goal of remedying the previous lack of state-level data, the survey was conducted to aid in defining problems of insurance coverage and to analyze the impacts of states' policy options. The main unit of observation is the health insurance family, which includes the head, spouse, and their children up to age 18, or to age 23 if they were in school. Variables on health insurance coverage include the types of coverage respondents carried (Medicare, Medicaid, additional state or federal programs, and private policies), sources of private policy coverage, premiums paid for private policies, and number of months uninsured during the last year. Access to health care is measured by variables such as the type of usual health care provider, the amount of time it usually took to get to the doctor's office, and whether needed medical care was not received during the previous year. Variables on the utilization of health care include the number of overnight hospital stays, the number of visits to doctors, age at first DPT (diphtheria, whooping cough, and tetanus) shot, age at first oral polio immunization, and the number of months since the most recent breast exam and Pap smear. The survey also elicited self-reported health status and opinions on the health care system, gauged satisfaction/dissatisfaction with health services received, and gathered information on employment, income, education, migration, age, sex, marital status, race, Hispanic origin, and citizenship.
Curated
Restricted

Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment (SUPPORT) and Hospitalized Elderly Longitudinal Project (HELP), 1989-1997 (ICPSR 2957)

Released/updated on: 2020-02-20
Geographic coverage: United States
Time period: 1989-01-01--1997-01-01
The objective of the SUPPORT and HELP projects was to improve decision-making in order to address the growing national concern over the loss of control that patients have near the end of life and to reduce the frequency of a mechanical, painful, and prolonged process of dying. SUPPORT comprised a two-year prospective observational study (Phase I) followed by a two-year controlled clinical trial (Phase II). Phase I of SUPPORT collected data from patients accessioned during 1989-1991 to characterize the care, treatment preferences, and patterns of decision-making among critically ill patients. It also served as a preliminary step for devising an intervention strategy for improving critically-ill patients' care and for the construction of statistical models for predicting patient prognosis and functional status. An intervention was implemented in Phase II of SUPPORT, which accessioned patients during 1992-1994. The Phase II intervention provided physicians with accurate predictive information on future functional ability, survival probability to six months, and patients' preferences for end-of-life care. Additionally, a skilled nurse was provided as part of the intervention to elicit patient preferences, provide prognoses, enhance understanding, enable palliative care, and facilitate advance planning. The intervention was expected to increase communication, resulting in earlier decisions to have orders against resuscitation, decrease time that patients spent in undesirable states (e.g., in the Intensive Care Unit, on a ventilator, and in a coma), increase physician understanding of patients' preferences for care, decrease patient pain, and decrease hospital resource use. Data collection in both phases of SUPPORT consisted of questionnaires administered to patients, their surrogates, and physicians, plus chart reviews for abstracting clinical, treatment, and decision information. Phase II also collected information regarding the implementation of the intervention, such as patient-specific logs maintained by nurses assigned to patients as part of the intervention. SUPPORT patients were followed for six months after inclusion in the study. Those who did not die within six months or were lost to follow-up were matched against the National Death Index to identify deaths through 1997. The HELP study was conducted in 1993 concomitantly with Phase II of SUPPORT and collected data to characterize the care, treatment preferences, and patterns of decision-making among hospitalized patients who were at least 80 years old. HELP data were also intended for use in adapting existing mortality and functional status models of elderly hospitalized patients. Data collection methods of HELP were essentially the same as those of SUPPORT. HELP patients were followed for 12 months after inclusion in the study. Patients who did not die within one year or were lost to follow-up were matched against the National Death Index to identify deaths through 1997.
Curated

National Survey of America's Families (NSAF), 1999 (ICPSR 3927)

Released/updated on: 2007-10-03
Geographic coverage: United States
Time period: 1999-02-01--1999-10-01

The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview.

Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below:

  • A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence.

  • B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent. It also covered questions about the respondent's awareness of specific insurance programs such as Medicaid, and those associated with the Children's Health Insurance Program (CHIP).

  • C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school.

  • D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated.

  • E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage.

  • F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included.

  • G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs.

  • H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support.

  • I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partner for the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members.

  • J. Family Income. Family income also was identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Temporary Assistance for Needy Families [TANF], General Assistance, Emergency Assistance, vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment compensation, workers' compensation or veterans' payments, Supplemental Security Income, Social Security, pension or annuity income, interest or dividend income, income from rental property, or any other income source.

  • K. Welfare Program Participation. This section gathered detailed information about TANF and Food Stamp benefits that the respondent might have received within the preceding two years. For both types of assistance, periods in which the respondent's benefits were reduced or eliminated were identified, as were strategies for coping during such times. Current TANF or Food Stamp recipients were asked about any requirements they had to fulfill (e.g., job search, training, etc.) in order to receive these benefits. Recipients were also asked questions about awareness of time limits and experiences with diversion. For respondents with children, questions were asked about benefits received in the previous year through the supplemental food program for Women, Infants, and Children (WIC) and free or reduced-cost school breakfast and lunch programs. Additional questions were asked about respondent experiences in obtaining government assistance for child care and health insurance through Medicaid and CHIP, and receipt and/or the use of the Earned Income Tax Credit (EITC) in 1998.

  • L. Education and Training. This series of questions inquired about the highest grade completed, highest degree earned, participation in job training programs during the previous year, and classes taken for credit during the previous year.

  • M. Housing and Economic Hardship. Questions covered the respondent's living arrangements, the name(s) of the lease- or mortgage- holder(s) in the household, and the amount of rent or mortgage paid monthly. Information was collected about financial contributions by the respondent or his/her spouse or partner to children under 18 years old living outside the household. The effect of economic hardship on the family's food consumption and ability to pay for housing costs was also assessed.

  • N. Issues, Problems, and Social Services. Questions in this section covered the respondent's state of mind, feelings about his or her child (or children), constructive activities the child (or children) might have been involved with, the availability of social services in their community, problems the child (or children) might have had in the preceding year and efforts to obtain help for those problems, and the respondent's involvement in volunteer and religious activities.

  • O. Race, Ethnicity, and Nativity. Race and ethnicity were asked for the respondent, the spouse/partner, and the focal children. For household members who were born outside the United States, country of origin and citizenship questions were asked.

  • P. Closing. At the end of the survey, respondent's were asked their opinions about welfare and working and about raising children.The respondent's ZIP code and address were requested and tracing information was asked of households with families receiving welfare at any time since January 1997, for possible use in a follow-up survey.

The 1999 NSAF data are available in nine parts and are organized into hierarchical, flat household-, family-, person-, adult-, and child-level files. A description of each is provided below:

  1. Focal Child Data. This dataset contains data elements from the extended interview that are specific to focal children (FC1 and FC2). Select data items that were asked only of MKAs are also included. Information in this dataset is primarily from sections N (Issues, Problems, and Social Services) and P (Closing) of the extended interview. The dataset contains one record for each focal child.

  2. Adult Pair Data. Included in this dataset is information collected from the extended interview about both the respondent and the respondent's spouse/partner. There is one observation per respondent and one per spouse (where applicable). Information in this dataset is primarily from sections I (Employment and Earnings) and L (Education and Training) of the extended interview.

  3. Random Adult Data. Information in this person-level dataset is specific to a randomly selected adult, either the respondent or the spouse/partner. This situation occurs only in sections E (Health Insurance Coverage) and F (Health Care Access and Utilization) of the extended interview.

  4. Childless Adult Data. This dataset contains data elements from the extended interview that are asked only of the respondent in Option B interviews. Variables in this dataset come mainly from section N (Issue, Problems, and Social Services) and P (Closing). There is one record per Option B interview in the dataset.

  5. Family-Respondent Data. Information in this dataset centers around information about the family's use of health care and social services. This family-level dataset contains one observation per respondent. Because there could be more than one respondent per family, family-respondent level variables may have different values within a single family.

  6. Household Data. This household-level dataset contains general information about the household such as the demographic characteristics of its members. Also contained in this dataset is administrative and process data such as housing subsidies, public housing, the number of bedrooms in the house, if the home was owned or rented, and information pertaining to screeners and the completion of interviews.

  7. Person Data. This dataset contains one observation for each person living in the household. Included in this dataset is demographic information as well as information on current health insurance status and income.

  8. Social Family Data. Included in this dataset are items asked about the social family and variables aggregated at the social family level. The social family includes not only married partners and their children, but also unmarried partners, all of their children, and members of the extended family (anyone related by blood to the MKA, the spouse/partner, or their children). Among the survey items included are those variables indicating whether anyone in the social family had a particular type of income and health insurance. Also included are variables summarizing information across all members of a social family, such as the number of family members. There is one record for each social family.

  9. CPS Family Data. Since the social family definition was used in fielding the NSAF, this dataset includes only variables created using the Current Population Survey (CPS) definition of family. A CPS family includes the householder, spouse of family householder,children in the family, and other relatives of the family household respondent. There is one record for each CPS family in this dataset.

Curated

National Survey of America's Families (NSAF), 1997 (ICPSR 4581)

Released/updated on: 2007-10-04
Geographic coverage: United States
Time period: 1997-01-01--1997-11-01

The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview.

Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below:

  • A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence.

  • B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent.

  • C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school.

  • D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated.

  • E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage.

  • F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included.

  • G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs.

  • H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support.

  • I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partnerfor the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members.

  • J. Family Income. Family income also was identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Aid to Families with Dependent Children [AFDC], General Assistance, Emergency Assistance, or vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment compensation, workers' compensation or veterans' payments, Supplemental Security Income, Social Security, pension or annuity income, interest or dividend income, income from rental property, or any other income source.

  • K. Welfare Program Participation. This section gathered detailed information about AFDC and Food Stamp benefits that the respondent might have received within the preceding two years. For both types of assistance, periods in which the respondent's benefits were reduced or eliminated were identified, as were strategies for coping during such times. Current AFDC or Food Stamp recipients were asked about any requirements they had to fulfill (e.g., job search, training, etc.) in order to receive these benefits. Recipients were also asked questions about awareness of time limits and experiences with diversion. For respondents with children, questions were asked about benefits received in the previous year through the supplemental food program for Women, Infants, and Children (WIC) and free or reduced-cost school breakfast and lunch programs.

  • L. Education and Training. This series of questions inquired about the highest grade completed, highest degree earned, participation in job training programs during the previous year, and classes taken for credit during the previous year.

  • M. Housing and Economic Hardship. Questions covered the respondent's living arrangements, the name(s) of the lease- or mortgage- holder(s) in the household, and the amount of rent or mortgage paid monthly. Information was collected about financial contributions by the respondent or his/her spouse or partner to children under 18 years old living outside the household. The effect of economic hardship on the family's food consumption and ability to pay for housing costs was also assessed.

  • N. Issues, Problems, and Social Services. Questions in this section covered the respondent's state of mind, feelings about his or her child (or children), constructive activities the child (or children) might have been involved with, the availability of social services in their community, problems the child (or children) might have had in the preceding year and efforts to obtain help for those problems, and the respondent's involvement in volunteer and religious activities.

  • O. Race, Ethnicity, and Nativity. Race and ethnicity were asked for the respondent, the spouse/partner, and the focal child (or children). For household members who were born outside the United States, country of origin and citizenship questions were asked.

  • P. Closing. At the end of the survey, respondents were asked their opinions about welfare and working and about raising children. Closing questions asked for the respondent's ZIP code and, in households with foreign-born individuals, tracing information for use in a follow-up survey.

The 1997 NSAF data are available in nine parts and are organized into hierarchical, flat household-, family-, person-, adult-, and child-level files. A description of each is provided below:

  1. Focal Child Data. This dataset contains data elements from the extended interview that are specific to focal children (FC1 and FC2). Select data items that were asked only of MKAs are also included. Information in this dataset is primarily from sections N (Issues, Problems, and Social Services) and P (Closing) of the extended interview. The dataset contains one record for each focal child.

  2. Adult Pair Data. Included in this dataset is information collected from the extended interview about both the respondent and the respondent's spouse/partner. There is one observation per respondent and one per spouse (where applicable). Information in this dataset is primarily from sections I (Employment and Earnings) and L (Education and Training) of the extended interview.

  3. Random Adult Data. Information in this person-level dataset is specific to a randomly selected adult, either the respondent or the spouse/partner. This situation occurs only in sections E (Health Insurance Coverage) and F (Health Care Access and Utilization) of the extended interview.

  4. Childless Adult Data. This dataset contains data elements from the extended interview that are asked only of the respondent in Option B interviews. Variables in this dataset come mainly from section N (Issue, Problems, and Social Services) and P (Closing). There is one record per Option B interview in the dataset.

  5. Family-Respondent Data. Information in this dataset centers around information about the family's use of health care and social services. This family-level dataset contains one observation per respondent. Because there could be more than one respondent per family, family-respondent level variables may have different values within a single family.

  6. Household Data. This household-level dataset contains general information about the household such as the demographic characteristics of its members. Also contained in this dataset are administrative and process data such as housing subsidies, public housing, the number of bedrooms in the house, whether the home was owned or rented, and information pertaining to screeners and the completion of interviews.

  7. Person Data. This dataset contains one observation for each person living in the household. Included in this dataset is demographic information as well as information on current health insurance status and income.

  8. Social Family Data. Included in this dataset are items asked about the social family and variables aggregated at the social family level. The social family includes not only married partners and their children, but also unmarried partners, all of their children, and members of the extended family (anyone related by blood to the MKA, the spouse/partner, or their children). Among the survey items included are those variables indicating whether anyone in the social family had a particular type of income and health insurance. Also included are variables summarizing information across all members of a social family, such as the number of family members. There is one record for each social family.

  9. CPS Family Data. Since the social family definition was used in fielding the NSAF, this dataset includes only variables created using the Current Population Survey (CPS) definition of family. A CPS family includes the householder, spouse of family householder, children in the family, and other relatives of the family household respondent. There is one record for each CPS family in this dataset.

Curated

National Survey of America's Families (NSAF), 2002 (ICPSR 4582)

Released/updated on: 2007-10-03
Geographic coverage: United States
Time period: 2002-02-01--2002-10-01

The National Survey of America's Families (NSAF) is a household survey that provides a comprehensive look at quantitative measures of the well-being of children, adults, and their families. While the focus of the survey is at the state level, the scope is national -- with a primary emphasis on low-income families. NSAF information was gathered from interviews conducted with the Most Knowledgeable Adult (MKA), the person in the household who was most knowledgeable about the questions being asked about the respondent, their spouse/partner (if applicable) and the focal child (or children). Data were collected from more than 40,000 families in two stages. First, a screener interview was administered to determine whether a household was eligible to complete the second, extended interview.

Two types of extended interviews were administered. Option A interviews were used in households with children under age 18. Option B interviews were used in childless adult households and also with emancipated minors. The extended interview was divided into several sections and is labeled A through P below:

  • A. Student Status. This section contained two questions that asked whether the respondent was a student and whether that household was the respondent's usual residence.

  • B. Health Status and Satisfaction. These questions asked about the respondent's satisfaction with health care, access to health care, the health status of the focal children, and the health status of the respondent. It also covered questions about the respondent's awareness of specific insurance programs such as Medicaid, and those associated with the Children's Health Insurance Program (CHIP).

  • C. Parent/Child/Family Interaction and Education. This series of questions asked about education for focal children. Questions addressed the focal child's current grade (or the last grade completed) and the child's attitudes toward school and schoolwork, skipping school, suspensions, and changing schools. Questions were also asked about children over 11 years old working for pay and attending summer school.

  • D. Household Roster. In this section, the name, age, and sex of all persons living in the household were recorded, and relationships between all household members were investigated.

  • E. Health Care Coverage. Information was gathered about current health insurance coverage for the respondent, the respondent's spouse/partner, and the focal children. Questions were also asked about characteristics of that coverage and of periods in which family members had no insurance coverage.

  • F. Health Care Use and Access. This section gathered information about health status, health care services received, and necessary health care services that were postponed during the preceding 12 months. Questions on routine care, overnight stays in hospitals, dental care, mental health care, women's health care, well-child care, and prescription medicines were also included.

  • G. Child Care. In this section, respondents were queried as to child care arrangements including Head Start, child care centers, before- or after-school care, and babysitters. Questions were asked about the total number of hours per week in each care situation, the typical number of children cared for, the typical number of adult child care providers, and child care costs.

  • H. Nonresidential Parent/Father. These questions determined whether a focal child had a nonresident parent, how often the child saw his/her nonresident parent, whether the nonresident parent provided financial support, and whether nonresident parents were required by child support orders to provide financial support.

  • I. Employment and Earnings. This section contained a series of questions about the employment and earnings of the respondent and the spouse/partner for the current and preceding year. Topics included employment status, occupation, industry, employer-provided health insurance, hours worked, and earnings. Some questions were also asked about the earnings of other family members.

  • J. Family Income. Family income was also identified from a wide variety of sources other than earnings from employment. These sources included public assistance (e.g., Temporary Assistance for Needy Families [TANF], General Assistance, Emergency Assistance, or vouchers), Food Stamps, child support, foster care payments, financial assistance from friends or relatives, unemployment compensation, workers' compensation or veterans' payments, Supplemental Security Income, Social Security, pension or annuity income, interest or dividend income, income from rental property, or any other income source.

  • K. Welfare Program Participation. This section gathered detailed information about TANF and Food Stamp benefits that the respondent might have received within the preceding two years. For both types of assistance, periods in which the respondent's benefits were reduced or eliminated were identified, as were strategies for coping during such times. Current TANF or Food Stamp recipients were asked about any requirements they had to fulfill (e.g., job search, training, etc.) in order to receive these benefits. Recipients were also asked questions about awareness of time limits and experiences with diversion. For respondents with children, questions were asked about benefits received in the previous year through the supplemental food program for Women, Infants, and Children (WIC) and free or reduced-cost school breakfast and lunch programs. Additional questions were asked about respondent experiences in obtaining government assistance for child care and health insurance through Medicaid and CHIP, and receipt and/or the use of the Earned Income Tax Credit (EITC) in any year between 1999 and 2002.

  • L. Education and Training. This series of questions inquired about the highest grade completed, highest degree earned, participation in job training programs during the previous year, and classes taken for credit during the previous year.

  • M. Housing and Economic Hardship. Questions covered the respondent's living arrangements, the name(s) of the lease- or mortgage- holder(s) in the household, and the amount of rent or mortgage paid monthly. Information was collected about financial contributions by the respondent or his/her spouse or partner to children under 18 years old living outside the household. The effect of economic hardship on the family's food consumption and ability to pay for housing costs was also assessed.

  • N. Issues, Problems, and Social Services. Questions in this section covered the respondent's state of mind, feelings about his or her child (or children), constructive activities the child (or children) might have been involved with, the availability of social services in their community, problems the child (or children) might have had in the preceding year and efforts to obtain help for those problems, and the respondent's involvement in volunteer and religious activities.

  • O. Race, Ethnicity, and Nativity. Race and ethnicity were asked for the respondent, the spouse/partner, and the focal child (or children). For household members who were born outside the United States, country of origin and citizenship questions were asked.

  • P. Closing. At the end of the survey, respondents were asked their opinions about welfare and working and about raising children. Respondents' ZIP code and address were also requested.

  • The 2002 NSAF data are available in nine parts and are organized into hierarchical, flat household-, family-, person-, adult-, and child-level files. A description of each is provided below:

    1. Focal Child Data. This dataset contains data elements from the extended interview that are specific to focal children (FC1 and FC2). Select data items that were asked only of MKAs are also included. Information in this dataset is primarily from sections N (Issues, Problems, and Social Services) and P (Closing) of the extended interview. The dataset contains one record for each focal child.

    2. Adult Pair Data. Included in this dataset is information collected from the extended interview about both the respondent and the respondent's spouse/partner. There is one observation per respondent and one per spouse (where applicable). Information in this dataset is primarily from sections I (Employment and Earnings) and L (Education and Training) of the extended interview.

    3. Random Adult Data. Information in this person-level dataset is specific to a randomly selected adult, either the respondent or the spouse/partner. This situation occurs only in sections E (Health Insurance Coverage) and F (Health Care Access and Utilization) of the extended interview.

    4. Childless Adult Data. This dataset contains data elements from the extended interview that are asked only of the respondent in Option B interviews. Variables in this dataset come mainly from section N (Issue, Problems, and Social Services) and P (Closing). There is one record per Option B interview in the dataset.

    5. Family-Respondent Data. Information in this dataset centers around information about the family's use of health care and social services. This family-level dataset contains one observation per respondent. Because there could be more than one respondent per family, family-respondent level variables may have different values within a single family.

    6. Household Data. This household-level dataset contains general information about the household such as the demographic characteristics of its members. Also contained in this dataset are administrative and process data such as housing subsidies, public housing, the number of bedrooms in the house, whether the home is owned or rented, and information pertaining to screeners and the completion of interviews.

    7. Person Data. This dataset contains one observation for each person living in the household. Included in this dataset is demographic information as well as information on current health insurance status and income.

    8. Social Family Data. Included in this dataset are items asked about the social family and variables aggregated at the social family level. The social family includes not only married partners and their children, but also unmarried partners, all of their children, and members of the extended family (anyone related by blood to the MKA, the spouse/partner, or their children). Among the survey items included are those variables indicating whether anyone in the social family had a particular type of income and health insurance. Also included are variables summarizing information across all members of a social family, such as the number of family members. There is one record for each social family.

    9. CPS Family Data. Since the social family definition was used in fielding the NSAF, this dataset includes only variables created using the Current Population Survey (CPS) definition of family. A CPS family includes the householder, spouse of family householder, children in the family, and other relatives of the family household respondent. There is one record for each CPS family in this dataset.

Curated
Partially restricted

Helping Young Smokers Quit: Identifying Best Practices for Tobacco Cessation, Phase II National Program Evaluation, 2003-2006 (ICPSR 33161)

Released/updated on: 2024-02-14
Geographic coverage: Oregon, New York, United States, Kentucky, Minnesota, California, Utah, Washington, Michigan, Iowa, Illinois, Texas, Colorado, Missouri, Louisiana, Ohio, Maryland, Wisconsin, Nevada
Time period: 2003-01-01--2006-01-01

The Helping Young Smokers Quit (HYSQ) initiative was a multi-phase project that addressed the critical need to disseminate effective, developmentally appropriate cessation programs for young smokers. Phase I identified and described tobacco treatment programs available for youth in the United States, Phase II evaluated smoking secession programs tailored for youth to help understand what works, and Phase III identified factors associated with program sustainability. Phase II collected data from five sources: (1) program participants, (2) program providers, (3) program curricula, (4) organizational leaders, and (5) community leaders and community ordinances.

Program participants were interviewed at baseline, end-of program, 6-month follow-up, and 12-month follow-up. Topics covered by the interviews include age, gender, race, Hispanic origin, language spoken at home, employment, income, religiosity, school enrollment, education level, school grades, height, weight, extracurricular activities, recreation, sports, exercise, aspirations after high school, psychological well-being, alcohol consumption, cigarette use and use of other tobacco products, attitudes about smoking, plans to stop/continue smoking, attempts to quit smoking, reasons for participating in the program, topics/issues covered by the program, opinions about the program, and smoking experience since the beginning of the program. In addition, for each follow-up survey, the participants provided a breath sample for carbon monoxide analysis to validate self-reported quit status.

After the last session of each program delivery, the program providers, such as program leaders and cessation counselors, were interviewed about the content and delivery of the program and the reactions of the participants and themselves to the program as delivered. The program providers also kept attendance records.

Curriculum content was abstracted from program manuals and other materials used in each program.

Organizational leaders of the organizations that offered the programs were surveyed about various aspects of each organization, including the organization's smoking cessation program and the organization's mission, general operations, and smoking-related policies and practices.

Community-level information was collected in two ways: (1) interviews of community leaders representing local health departments, school boards, and juvenile justice offices, and (2) archival research of public ordinances relevant to tobacco and control policies.

Nine data files/datasets constitute the data. Datasets 1-4 contain the participant questionnaire data, carbon monoxide measurement data, and program attendance data. Dataset 5 comprises information about each program and its curriculum, some information about the community in which the program was located, and summary data about enforcement of tobacco-related ordinances. Dataset 6 contains information about about the program providers and each program delivery, including recruitment, logistics, content, and the reactions of providers and participants. Dataset 7 covers administrative aspects of the smoking cessation programs and each offering organization's mission, general operations, and smoking-related policies and norms. Dataset 8 contains information about local and state-level tobacco-related ordinances for every state and local jurisdiction where each program was located, and Dataset 9 condenses the information in Dataset 8 into one summary record for each community. The unit of observation for Datasets 1-4 is the participant, for Datasets 5 and 7 the smoking cessation program/offering organization, for Dataset 6 the program delivery/program cohort, for Dataset 8 the ordinance, and for Dataset 9 the community.

Curated
Partially restricted

Project HealthDesign: dwellSense - Using Sensor Data From Elders' Daily Activities to Augment Personal Health Records, 2011-2012 (ICPSR 36030)

Released/updated on: 2024-02-14
Geographic coverage: United States, Pennsylvania, Pittsburgh
Time period: 2011-01-01--2012-01-01
It is often hard to detect subtle changes in everyday activities that could indicate the onset of dementia or physical decline in adults who live alone. The dwellSense team developed new technologies to monitor the routines of older adults who are at risk for cognitive decline. In-home sensors monitored three routine tasks: taking medication, making phone calls and preparing coffee. The sensor data was then used by key stakeholders, including participants, caregivers, and clinicians, to detect and better understand the individual's changing cognitive and physical abilities. By identifying decline at an early stage, caregivers have a chance to halt or even reverse deterioration that might otherwise result in an unsafe living situation or a transition to long-term care. This data collection comprises the sensor data collected from the elders who participated in the dwellSense study.
Curated
Partially restricted

Memphis New Mothers Study, 1990-1994 (ICPSR 6782)

Released/updated on: 2024-02-14
Geographic coverage: United States, Tennessee, Memphis
Time period: 1990-06-01--1994-04-30
This study was a randomized trial that tested the effectiveness of home visitation by nurses as a means of enhancing the health and well-being of socially disadvantaged women and their first-born children. Low-income, pregnant women bearing first babies were randomly assigned to four treatment groups: (1) subjects that received free transportation to prenatal care, (2) subjects that received transportation to prenatal care and developmental screening for the children, (3) subjects that received transportation to prenatal care and developmental screening, plus prenatal home visits by nurses, and (4) subjects that received transportation to prenatal care, developmental screening, prenatal home visits, and postnatal home visits by nurses. Assessments of the women covered health-related behaviors, mother's care-giving environment, child's health and development, levels of social support, mother's psychological resources, personal life-course development, and costs of health care. Variables measuring health-related behaviors included the use of cigarettes and illegal drugs and the presence of sexually-transmitted diseases. The mother's care-giving environment and the child's health and development were evaluated by the Bavolek adult-adolescent parenting interview score, the Caldwell home observation scale, the Bayley mental development index, the Achenbach child behavioral problems inventory, and other indices. Levels of social support were evaluated by the amount of support expected to be received from a boyfriend or husband and the mother's mother. Assessments of maternal psychological resources included the Pearlin mastery scale, the Shipley IQ score, and the Bandura self-efficacy score. Personal life-course development was assessed by the respondents' educational and occupational achievements, and the numbers of subsequent pregnancies and children. Variables measuring the effect of the program on the cost of health care include number of hospital emergency room visits, number of hospitalizations, total length of stay, number of well-child and ill-child doctor visits, and use of community social services. Other variables provide information on age at birth, pre-pregnancy weight, birth weight and gender, race, employment status, income, housing density, and education.
Curated
Simple Crosstabs

National Survey of Health Attitudes, [United States], 2023 (ICPSR 39205)

Released/updated on: 2024-12-05
Geographic coverage: United States
Time period: 2023-11-27--2023-12-19

Since 2013, the Robert Wood Johnson Foundation (RWJF) has led the development of a pioneering national action framework to advance a "culture that enables all in our diverse society to lead healthier lives now and for generations to come." Accomplishing these principles requires a national paradigm shift from a traditionally disease and health care-centric view of health toward one that focuses on well-being. Recognizing that paradigm shifts require intentional actions, RWJF worked with RAND researchers to design an actionable path to fulfill the Culture of Health (CoH) vision. A central piece of this work is the development of measures to assess constructs underlying a CoH.

The National Survey of Health Attitudes (NSHA) is a survey that RWJF and RAND analysts developed and conducted as part of the foundation's CoH strategic framework. The foundation undertook this survey to measure key constructs that could not be measured in other data sources. Thus, the survey was not meant to capture the full action framework that informs CoH, but rather just selected measure areas. The questions in this survey primarily addressed the action area: making health a shared value. The survey covers a variety of topics, including views regarding what factors influence health, such as the notion of health interdependence (peer, family, neighborhood, and workplace drivers of health), values related to national and community investment for health and well-being; behaviors around health and well-being, including civic engagement on behalf of health, and the role of community engagement and sense of community in relation to health attitudes and values.

This study includes the results from the 2023 RWJF National Survey of Health Attitudes. The 2023 survey is the third wave of the NSHA. The first wave was conducted in 2015 (ICPSR 37405) and the second wave in 2018 (ICPSR 37633). The 2023 report complements the overview of the 2015 survey described in the RAND report Development of the Robert Wood Johnson Foundation National Survey of Health Attitudes (Carman et al., 2016), and its subsequent topline 2018 Survey of National Health Attitudes: Description and Top-Line Summary (Carman et al., 2019) and is organized similarly for consistency. A companion set of longitudinal surveys during the COVID-19 pandemic was fielded between 2020 and 2021 and is further described in four top-line reports, COVID-19 and the Experiences of Populations at Greater Risk (Carman et al., 2020-2021).

The questions in the 2023 survey uniquely capture aspects of American mindset about health, health equity, structural racism, and wellbeing in ways that are not present in other surveys. This version of the NSHA can be viewed in three main sections: (1) individual health experiences, perspectives, and knowledge (making health a shared value); (2) health equity perspectives; and (3) community wellbeing, including climate views and barriers to community engagement. Insights from the surveys referenced above, including this one, have established a baseline and set of cross-sectional pulse checks on where the American public is regarding their recognition of social determinants of health, their understanding of health inequities including structural racism, their willingness to address those inequities and their indication of who in society should be responsible for solving health inequities.