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Substance dependence (SD) is a chronic disease that requires specialty drug and alcohol treatment, primary care (PC), and management of related problems. Although patients with SD may be linked with specialty care and PC, their health care often remains episodic and fragmented, rather than longitudinal, comprehensive, integrated, and coordinated. As a result, adults with SD often enter addiction treatment later and require acute medical care, rather than entering the system earlier when interventions of lower intensity but longer duration might prevent catastrophes. Chronic disease management (CDM) is a collaborative, longitudinal approach to treatment of certain chronic medical illnesses proven to be more effective than routine care. CDM addresses individual patient and health systems barriers to receipt of needed treatment. However, the effectiveness of CDM for SD has not been tested. The objective of this Addiction Health Evaluation and Disease management (AHEAD) study, was to test the effectiveness of CDM for SD in PC. Subject identification and recruitment occurred primarily at a local detoxification center, as well as by self and physician referral from the Boston Medical Center primary and ambulatory care clinics, emergency department, urgent care center, inpatient settings, and the community. The study enrolled 320 adults with drug dependence and 320 adults with alcohol dependence who were not in SD treatment, and randomized them to a SD CDM program (the AHEAD Clinic) integrated into a real-world PC clinic or to referral to standard PC. All subjects were assessed regarding SD diagnosis, substance use and problems, readiness to change, health-related quality of life, and medical and drug treatment utilization. Subjects were evaluated 3, 6, and 12 months later, and health services utilization data were collected for 2 years from a statewide database. Additionally, in order to better understand and explain the implementation and fidelity of the AHEAD Clinic, the primary care providers (PCPs) of AHEAD Clinic patients were surveyed. Each PCP was presented with a letter from the Principal Investigator explaining the purpose of the survey, the reason why s/he was being asked to complete the survey, compensation for completing the survey, and details about confidentiality and anonymity. The survey itself consisted of questions asking providers about their satisfaction and their attitudes towards caring for patients with alcohol and drug problems, their knowledge of services that the AHEAD Clinic provides, and their experience working with the AHEAD Clinic. Primary outcomes were illicit drug use, alcohol use, substance-related problems, emergency department visits, and hospitalizations. The proposal's hypothesis was that compared with standard care, a health services delivery intervention (CDM for SD integrated in PC) would decrease alcohol and illicit drug use and related problems, and improve health care utilization patterns. Improved outcomes using the AHEAD approach would support the adoption of a health services delivery strategy, CDM, to better care for patients with SD. Dataset 1: 844 variables; 563 cases Dataset 2: 607 variables; 500 cases Dataset 3: 607 variables; 487 cases Dataset 4: 713 variables; 532 cases Dataset 5: 80 variables; 549 cases Dataset 6: 59 variable,s; 1,435 cases Dataset 7: 25 variables; 87 cases Dataset 8: 25 variables; 87 cases Dataset 9: 41 variables; 73 cases Dataset 10: 9 variables; 11,018 cases Dataset 11: 5 variables; 511 cases

The Aging, Status, and Sense of Control (ASOC) was conducted during 1995, 1998 and 2001 and examined the relationship between age and changes in the sense of control over one's life. Part I contains data for Waves I and II. Respondents were queried about their physical health, including activities of daily living such as shopping, walking, and doing housework, along with medical conditions such as heart disease, high blood pressure, lung disease, breast cancer, diabetes, arthritis or rheumatism, osteoporosis, and allergies or asthma. Questions regarding mental health investigated difficulties staying focused, feelings of sadness or anxiety, and enjoyment of life. Respondents were also asked about their health behaviors, including use of tobacco and alcohol, frequency of exercise, use of medical services including insurance coverage, and the number of prescription medications used. Also examined was respondents' sense of control over their lives, including social support and participation, and history of adversity, which covered such topics as home or apartment break-ins or assaults, major natural disasters, unemployment longer than six months, and times without enough money for clothes, food, rent, bills, or other necessities. Demographic questions included age, sex, marital status, education, work status, marital and family relations, and socioeconomic status. Wave III (Part 2) was collected in 2001 and contains data on the same questions such as physical health, mental health and health behaviors.

The Americans' Changing Lives (ACL) survey series is an ongoing, nationally representative, longitudinal study focusing especially on differences between Black and White Americans in middle and late life. These data constitute the first, second, third, fourth, fifth, and sixth waves in a panel survey covering a wide range of sociological, psychological, mental, and physical health items. Wave I of the study began in 1986 with a nation face-to-face survey of 3,617 adults ages 25 and up, with Black Americans and people aged 60 and over over-sampled at twice the rate of the others. Wave II constitutes face-to-face re-interviews in 1989 of those still alive. Survivors have been re-interviewed by telephone, and when necessary face-to-face, in 1994 (Wave III), 2001/02 (Wave IV), 2011 (Wave V), and 2019/21 (Wave VI). Please note that for Wave VI, the majority of data collection occurred in 2019, with only a small subset (n=39) of participants surveyed in 2021. ACL was designed and sought to investigate the following: (1) The ways in which a wide range of activities and social relationships that people engage in are broadly "productive," (2) how individuals adapt to acute life events and chronic stresses that threaten the maintenance of health, effective functioning, and productive activity, and (3) sociocultural variations in the nature, meaning, determinants, and consequences of productive activity and relationships. Among the topics covered are interpersonal relationships (spouse/partner, children, parents, friends), sources and levels of satisfaction, social interactions and leisure activities, traumatic life events (physical assault, serious illness, divorce, death of a loved one, financial or legal problems), perceptions of retirement, health behaviors (smoking, alcohol consumption, overweight, rest), and utilization of health care services (doctor visits, hospitalization, nursing home institutionalization, bed days). Also included are measures of physical health, psychological well-being, and indices referring to cognitive functioning. Demographic information provided for individuals includes household composition, number of children and grandchildren, employment status, occupation and work history, income, family financial situation, religious beliefs and practices, ethnicity, race, education, sex, and region of residence.

The Area Resource File (ARF) is a health resource information database containing more than 6,000 variables for each of the nation's counties. ARF contains information on health facilities, health professions, measures of resource scarcity, health status, economic activity, health training programs, and socioeconomic and environmental characteristics.

The 2016 ASTHO Profile Survey is a survey conducted by the Association of State and Territorial Health Officials (ASTHO) to gather information on state, territorial, and freely associated state public health agencies (S/THAs) and their activities, structure, and resources. The survey aims to define the scope of state and territorial public health services, identify variations in practice among public health agencies, and contribute to the development of best practices in governmental public health. The 129-question instrument was disseminated electronically in April 2016 and completed by senior deputies at each S/THA. The survey closed in September 2016; the response rate was 98 percent among the 50 states and D.C., and 97 percent among all states, territories, and freely associated states.

The general purpose of the Australian [Adelaide] Longitudinal Study of Aging (ALSA) is to gain further understanding of how social, biomedical, and environmental factors are associated with age-related changes in the health and well-being of persons aged 70 years and older. Emphasis is given to the effects of social and economic factors on morbidity, disability, acute and long-term care service use, and mortality. The aim is to analyze the complex relationships between individual and social factors and changes in health status, health care needs, and service utilization dimensions. Components of Wave 6 (1999-2000) (Part 1) include a comprehensive personal interview conducted via the Computer-Assisted Personal Interview (CAPI) system, a home-based assessment of physiological functions, self-completed questionnaires, and additional clinical studies. In Part 2, Wave 6 Clinical Data, information about the health histories of the respondents was elicited, including information on medication, blood pressure, and physical and mental disabilities.

The general purpose of the Australian Longitudinal Study of Aging (ALSA) is to gain further understanding of how social, biomedical, and environmental factors are associated with age-related changes in the health and well-being of persons aged 70 years and older. Emphasis is given to the effects of social and economic factors on morbidity, disability, acute and long-term care service use, and mortality. The aim is to analyze the complex relationships between individual and social factors and changes in health status, health care needs, and service utilization dimensions. Components of Wave 1 (1992-1993) (Part 1) included a comprehensive personal interview conducted via the Computer-Assisted Personal Interview (CAPI) system, a home-based assessment of physiological functions, self-completed questionnaires, and additional clinical studies. Wave 2 (1993-1994), Wave 3 (1994-1995), Wave 4 (1995-1996), and Wave 5 (1996-1997) (Parts 2, 7, 8, and 10, respectively) included questions regarding changes in domicile, current health and functional status, new morbidity conditions, changes in medication, major life events, general life satisfaction, and changes in economic circumstances. For Wave 3 Clinical Data (Part 9) information about the health histories of the respondents was elicited, including information on medication, blood pressure, and physical and mental disabilities.

This data collection is part of a series of nationwide surveys conducted from October 1990 to June 1996 in Spain. The questionnaires for each of these surveys consisted of three sections. The first section collected information on respondents' attitudes regarding personal, national, and international issues, and included questions on respondents' level of life satisfaction and frequency of visits with relatives, neighbors, and friends. The second section contained a topical module of questions that varied from survey to survey, with this survey's topic focusing on health. Among the issues investigated were respondents' health status, utilization of medical care and alternative medicine, health insurance coverage, attitudes toward health and medical care, and habits and lifestyle choices related to health. Questions in the third section of the questionnaire elicited socioeconomic information, such as respondent's sex, age, marital status, size of household, occupation, education, religion, religiosity, place of birth, and income.

This data collection is part of a series of nationwide surveys conducted from October 1990 to June 1996 in Spain. The questionnaires for each of these surveys consisted of three sections. The first section collected information on respondents' attitudes regarding personal, national, and international issues, and included questions on respondents' level of life satisfaction and frequency of visits with relatives, neighbors, and friends. The second section contained a topical module of questions that varied from survey to survey, with this survey's topic focusing on old age. The survey gauged attitudes regarding old age and the elderly, and investigated actual circumstances of elderly life in Spain, such as living arrangements, daily levels of physical activity, amount of health problems experienced during the past two weeks, consumption of tobacco and alcohol, frequency of sexual relations, retirement status and age at retirement, leisure activities, and use of social services. Questions in the third section of the questionnaire elicited socioeconomic information, such as respondent's sex, age, marital status, size of household, occupation, education, religion, religiosity, place of birth, and income.

This data collection is part of a series of nationwide surveys conducted from October 1990 to June 1996 in Spain. The questionnaires for each of these surveys consisted of three sections. The first section collected information on respondents' attitudes regarding personal, national, and international issues, and included questions on respondents' level of life satisfaction and frequency of visits with relatives, neighbors, and friends. The second section contained a topical module of questions that varied from survey to survey, with this survey's topic focusing on health and health culture. Among the issues investigated were respondents' health status, utilization of medical care, health insurance coverage, attitudes toward health and medical care, and habits and lifestyle choices related to health. Questions in the third section of the questionnaire elicited socioeconomic information, such as respondent's sex, age, marital status, size of household, occupation, education, religion, religiosity, place of birth, and income.

The Chitwan Valley Family Study (CVFS) is a comprehensive family panel study of individuals, households, and communities in the Chitwan Valley of Nepal. The study was initially designed to investigate the influence of changing community and household contexts on population outcomes such as marital and childbearing processes. Over time, the goals of the study expanded to investigate family dynamics, intergenerational influences, child health, migration, labor force participation, attitudes and beliefs, mental health, agricultural production, environmental change, and many other topics. The data include full life histories for more than 10,000 individuals, tracking and interviews with all migrants, continuous measurement of community change, over 25 years of demographic event registry, and many other data collections. For additional information regarding the Chitwan Valley Family Study, please visit the Chitwan Valley Family Study Website. A Data Guide for this study is available as a webpage and for download. Principal Investigators William G. Axinn, University of Michigan Dirgha Ghimire, University of Michigan Jordan Smoller, Massachusetts General Hospital

This follow-up survey, funded under two separate grants from the National Institute on Aging (NIA), reinterviewed survivors of STUDY OF THE WELL-BEING OF OLDER PEOPLE IN CLEVELAND, OHIO, 1975-1976 (ICPSR 7773). The first part of the project, "Cleveland GAO Study of the Elderly: A Follow-Up", was conducted from 1983 to 1986, and reinterviewed survivors (n = 647) of the original 1975 sample (n = 1,834) to determine the impact of gender on the quality of life for elders, along with stability and change in measures of mental health. During 1984, a subset of the interview subjects were visited at their homes to validate self-reported impairment and disability. These data are presented in Part 1, Cleveland GAO Study of the Elderly: A Follow-Up, 1984 Data for Survivors of 1975 Sample. The second phase of the project, "Cleveland Elderly 12 Years Later," describes changes in disease, disability, and mortality since 1975 and attempted to determine if differences were related to changes in social support, use of health services, or economic status. The study also sought to assess levels of social, economic, mental, and physical well-being reported by respondents, and examined daily activities, the use and quality of services, and the characteristics of service providers. The "Cleveland Elderly 12 Years Later" data were collected in 1987 and again in 1988. Data collected in 1987 consist of interviews with survivors of the original 1975 sample (Part 2) along with interviews from an additional sample drawn from the 1977 Medicare rolls (Part 3). During 1988, interviews were again conducted with survivors of the original 1975 sample (Part 4) and survivors of the Medicare sample (Part 5). Data collected in 1984, 1987, and 1988 for survivors of the 1975 sample may be merged with the original data collected in 1975-1976 using the ID number.

The Collaborative Psychiatric Epidemiology Surveys (CPES) were initiated in recognition of the need for contemporary, comprehensive epidemiological data regarding the distributions, correlates and risk factors of mental disorders among the general population with special emphasis on minority groups. The primary objective of the CPES was to collect data about the prevalence of mental disorders, impairments associated with these disorders, and their treatment patterns from representative samples of majority and minority adult populations in the United States. Secondary goals were to obtain information about language use and ethnic disparities, support systems, discrimination and assimilation, in order to examine whether and how closely various mental health disorders are linked to social and cultural issues. To this end, CPES joins together three nationally representative surveys: the NATIONAL COMORBIDITY SURVEY REPLICATION (NCS-R), the NATIONAL SURVEY OF AMERICAN LIFE (NSAL), and the NATIONAL LATINO AND ASIAN AMERICAN STUDY (NLAAS). These surveys collectively provide the first national data with sufficient power to investigate cultural and ethnic influences on mental disorders. In this manner, CPES permits analysts to approach analysis of the combined dataset as though it were a single, nationally representative survey. Each of the CPES surveys has been documented in a comprehensive and flexible manner that promotes cross-survey linking of key data and scientific constructs.

This three-wave survey was conducted as part of an evaluation of the Communities in Charge (CIC) initiative, a competitive grants program funded by the Robert Wood Johnson Foundation (RWJF). CIC provided funding and technical assistance to help communities design and implement new or expand existing approaches for supplying health care to the uninsured. Three of the 14 CIC sites funded by RWJF in 2001 were selected for the survey: Alameda County, California, Austin, Texas, and southern Maine. With CIC grant support, all three created programs that provided fairly comprehensive health benefits to low-income, uninsured participants, who were interviewed by the survey within three months of enrollment (Wave 1) and again at about six months and 12 months after enrollment (Waves 2 and 3). Conducted in English in southern Maine, English and Spanish in Austin, and English, Spanish, and Cantonese in Alameda County, the survey collected information on demographic and socioeconomic characteristics, health status, health insurance coverage, access to health services, and health services utilization. Additional topics covered by the survey include out-of-pocket spending on health care, unmet health care needs, and satisfaction with and opinions about health care. There are two data files for each wave, one with the data from the Cantonese interviews and one with the data from the English and Spanish interviews.

This data collection evaluates group medical practices and the ways in which they affect both access to and use of medical services. Group practices, sponsored by the Robert Wood Johnson Foundation Community Hospital Program (CHP), were selected for use in this assessment. The data were collected by the Center for Health Administration Studies at the University of Chicago, with the assistance of Chilton Research Services. Two surveys were conducted for the study: a baseline survey in 1978-1979 and a follow-up in 1981. Community residents and CHP patients in 12 communities were interviewed. Demographic and medical care data were collected for selected individuals and families in the survey areas. Data on regular sources of medical care for individuals include the type of organization used, type of practice, accessibility, frequency of visits, types of health care professionals seen, cost, and satisfaction. Also in the collection are data on perceived health, episodes of illness (including symptoms, duration, disability days, and doctors consulted), use of preventive health care services, and insurance coverage. Demographic data for individuals and families include age, sex, race, educational attainment, employment, and income. Of the 198 files in this collection, 88 are "raw" data files and 110 are frequencies. The data files consist of four types. The first type are Sample Person files. These contain the responses of group practice patients and community members. The second type are Doctor Episode files, which record doctors and episodes of illness. Family files make up the third type of file, and consist of family members' responses to the survey. Analysis files, linking patient and doctor data, are the fourth type of file. The SPSS frequency files correspond to the data files: two per file for the Sample Person files, and one per file for the remaining three types of files.

This data collection comprises two components of the Community Tracking Study (CTS), the Household Survey and the Followback Survey. The CTS, sponsored by the Robert Wood Johnson Foundation, is a national study designed to track changes in the health care system and their effects on care delivery and individuals. Central to the design of the CTS is its community focus. Sixty sites (51 metropolitan areas and 9 nonmetropolitan areas) were randomly selected to form the core of the CTS and to be representative of the nation as a whole. The Household Survey was administered to households in the 60 CTS sites and to a supplemental national sample of households. At the beginning of each interview, a household informant was identified and queried about the composition of the household. With this information, individuals in the household were grouped into family insurance units (FIU). An FIU reflects family groupings typically used by insurance carriers. It includes an adult household member, his or her spouse, if any, and any dependent children 0-17 years of age (or 18-22 years of age if a full-time student). Family informants, selected from each FIU in the household, provided information on health insurance coverage, health care use, usual source of care, and the general health of all persons in the FIU. These informants also provided information on family income and out-of-pocket expenses for health care, as well as employment, race, and Hispanic origin for all adult FIU members. Each adult in the household, including the FIU informants, responded through a self-response module to questions regarding unmet health care needs, patient trust, satisfaction with physician choice, limitations in daily activities, smoking behaviors, and last doctor visit. In FIUs with more than one child under 18, only one child was randomly selected for inclusion in the survey. The family informant responded on behalf of the child regarding unmet needs and satisfaction with physician choice. The adult family member who took this child to his or her last doctor visit responded to questions about the visit. The Followback Survey was designed to obtain detailed information on private health insurance coverage reported in the Household Survey. It was administered to health plans and other organizations that offered or administered the comprehensive private health insurance policies covering Household Survey respondents in the 60 CTS sites. Information on private health insurance policies collected by the Followback Survey includes product type, gatekeeping, consumer cost sharing, provider payment methods, and coverage of mental health and/or substance abuse services.

This collection comprises the second round of the Community Tracking Study (CTS) Household Survey and the second round of the CTS Followback Survey. The CTS, sponsored by the Robert Wood Johnson Foundation, is a national study designed to track changes in the health care system and their effects on care delivery and individuals. Fifty-one metropolitan areas and nine nonmetropolitan areas were randomly selected to form the core of the CTS and to be representative of the nation as a whole. As in the first round of the Household Survey (COMMUNITY TRACKING STUDY HOUSEHOLD SURVEY, 1996-1997, AND FOLLOWBACK SURVEY, 1997-1998: [UNITED STATES] (ICPSR 2524)), the second round of the Household Survey was administered to households in the 60 CTS sites and to a supplemental national sample of households. Respondents provided information about household composition and demographic characteristics, health insurance coverage, use of health services, unmet health care needs, out-of-pocket expenses for health care, usual source of care, patient trust and satisfaction, last visit to a medical provider, health status and presence of chronic health conditions, risk behaviors and smoking, and employment, earnings, and income. The purpose of the Followback Survey was to obtain detailed information on private health insurance coverage reported in the Household Survey. It was administered to the health plans and other organizations (managed care organizations, third-party administrators, employer or union plans, and employers) that offered or administered the respondents' comprehensive private health insurance policies. Information on private health insurance policies collected by the Followback Survey includes product type, gatekeeping, consumer cost sharing, provider payment methods, and coverage of mental health and/or substance abuse services.

This collection comprises the third round of the Community Tracking Study (CTS) Household Survey. The CTS, sponsored by the Robert Wood Johnson Foundation, is a national study designed to track changes in the health care system and the effects of those changes on people. Fifty-one metropolitan areas and nine nonmetropolitan areas were randomly selected to form the core of the CTS and to be representative of the nation as a whole. As in the first two rounds of the Household Survey (ICPSR 2524 and 3199), the third round was administered to households in the 60 CTS sites and to a supplemental national sample of households. Respondents provided information about household composition and demographic characteristics, health insurance coverage, use of health services, unmet health care needs, out-of-pocket expenses for health care, usual source of care, patient trust and satisfaction, last visit to a medical provider, health status and presence of chronic health conditions, risk behaviors and smoking, and employment, earnings, and income. A new set of sample design variables was added to the third round data for variance estimation by statistical software packages other than SUDAAN.

This collection contains data and documentation for the fourth round of the Community Tracking Study (CTS) Household Survey. Sponsored by the Robert Wood Johnson Foundation, the CTS is a national study designed to track changes in the United States' health care system and their effects. The fourth round was administered to households in the 60 CTS sites: 51 metropolitan areas and nine nonmetropolitan areas which were randomly selected to form the core of the CTS and to be representative of the nation as a whole. The first round of the CTS Household Survey was conducted in 1996-1997 (ICPSR 2524), the second round in 1998-1999 (ICPSR 3199), and the third in 2000-2001 (ICPSR 3764). Respondents to the fourth round provided information about health insurance coverage, use of health services, unmet needs for health care, children's special health care needs, out-of-pocket medical costs, patient trust in physicians, sources of health information, attitudes about medical care, and satisfaction with health care and health plans. Health status, chronic conditions, and risk attitudes and smoking behavior were additional topics covered by the fourth round questionnaire. The data include variables on height and weight, employment, income, ethnicity, race, United States citizenship, household composition, and demographic characteristics.

The Connecticut Health Care Survey was a statewide, random-digit dial telephone survey conducted from June 2012 to February 2013. The goal of the survey was to gather health-related experiences, information, and perspectives from Connecticut residents about themselves and children within their households. The survey provides state-level data on the health and health care of Connecticut residents, including health insurance coverage, access and sources of care, continuity of care, health status, and patient-provider experience and communication. Demographic variables include gender, age, race/ethnicity, and health reference group.

Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys ask consumers and patients to report on and evaluate their experiences with health care in the United States. These surveys cover topics that are important to consumers and focus on aspects of quality that consumers are best qualified to assess, such as communication skills of providers and ease of access to health care services.

The Costa Rican Longevity and Healthy Aging Study (CRELES, or Costa Rica Estudio de Longevidad y Envejecimiento Saludable) is a nationally representative longitudinal survey of health and lifecourse experiences of 2,827 Costa Ricans ages 60 and over in 2005, the baseline collection. CRELES-2 refers to the second wave of visits in this longitudinal study, and includes the results from these visits. The first wave of interviews, or baseline, of CRELES is also available at http://doi.org/10.3886/ICPSR26681. The second wave fieldwork was conducted from October 2006 to July 2008, with 2,364 surviving and contacted participants. The original sample was drawn from Costa Rican residents in the 2000 population census who were born in 1945 or before, with an over-sample of the oldest-old (ages 95 and over). Vital statistics indicate that Costa Rica has an unusually high life expectancy for a middle-income country, even higher than that of the United States, but CRELES is the first nationally representative survey to investigate adult health levels in Costa Rica. CRELES public use data files contain information on a broad range of topics including self-reported physical health, psychological health, living conditions, health behaviors, health care utilization, social support, and socioeconomic status. Objective health indicators include anthropometrics, observed mobility, and biomarkers from fasting blood samples (such as cholesterol, glycosylated hemoglobin, and C-reactive protein). Mortality events are tracked and conditions surrounding death are measured in a surviving family interview.

The Costa Rican Longevity and Healthy Aging Study (CRELES, or Costa Rica Estudio de Longevidad y Envejecimiento Saludable) is a nationally representative longitudinal survey of health and lifecourse experiences. CRELES-3 refers to the third wave of visits in this longitudinal study. The first two waves are available as ICPSR 26681 and ICPSR 31263. The original sample (Wave 1) was drawn from Costa Rican residents in the 2000 population census who were born in 1945 or before, with an over-sample of the oldest age range (ages 95 and over). A total of 2,827 Costa Ricans ages 60 and over participated in 2005. The second wave revisited the same participant group. The data presented here represent the third wave of fieldwork that was conducted from February 2009 to January 2010, with 1,855 surviving and contacted participants. CRELES data include factors contributing to older adults' length and quality of life. Among these data are self-reported physical health, psychological health, living conditions, health behaviors, health care utilization, social support, and socioeconomic status. Objective health indicators typically included in this series are anthropometrics, observed mobility, and biomarkers from fasting blood (such as cholesterol, glycosylated hemoglobin, and C-reactive protein). However, the third wave did not collect blood. Data regarding participants' deaths and conditions surrounding death were collected from interviews of surviving family members and are included in Wave 2 and Wave 3 data files. The collection includes a tracking file (Dataset 13) which links participants across the three waves and includes sampling weights. Demographic data included in the study include age during each wave, sex, marital status, education, number of children, type of housing, and geographic region in Costa Rica. Some elements of the demographic data are found only in Wave 1 and require linking the CRELES-3 data files with ICPSR 26681.

The Costa Rican Longevity and Healthy Aging Study (CRELES, or Costa Rica Estudio de Longevidad y Envejecimiento Saludable) is a nationally representative longitudinal survey of health and lifecourse experiences of 2,827 Costa Ricans ages 60 and over in 2005. Baseline household interviews were conducted between November 2004 and September 2006, with two-year follow-up interviews. The sample was drawn from Costa Rican residents in the 2000 population census who were born in 1945 or before, with an over-sample of the oldest-old (ages 95 and over). The main study objective was to determine the length and quality of life, and its contributing factors in the elderly of Costa Rica. Vital statistics indicate that Costa Rica has an unusually high life expectancy for a middle-income country, even higher than that of the United States, but CRELES is the first nationally representative survey to investigate adult health levels in Costa Rica. CRELES public use data files contain information on a broad range of topics including self-reported physical health, psychological health, living conditions, health behaviors, health care utilization, social support, and socioeconomic status. Objective health indicators include anthropometrics, observed mobility, and biomarkers from fasting blood and overnight urine collection (such as cholesterol, glycosylated hemoglobin, C-reactive protein, cortisol, and other components of integrative allostatic load measures). Mortality events are tracked and conditions surrounding death are measured in a surviving family interview (longitudinal follow-up data are not yet publicly available).

This data collection provides information on individuals born in Denmark in 1905 and who were still living in Denmark in 1998. The overall goal of the study was to establish a genetic-epidemiological database to shed light on the aging process among the extremely old. The data focus on their physical and cognitive functioning. Respondents were asked if they had been previously diagnosed with diseases such as diabetes, arthritis, asthma, migraine, cancer, stroke, heart attack, or depression, and if they were experiencing such ailments as cough, body pains, and bone fracture and were taking medication for them. Questions probed respondents' feelings about their health, life, and future. To assess respondents' general health and functioning, they were asked if they needed assistance with toileting, bathing, dressing, and mobility around the house; how often they needed to use the bathroom during the night; and if they used physical aids such as wheelchairs, eyeglasses, crutches, catheters, or diapers. They were also tested for memory and cognition, mobility, vision, speech, hearing, and lung functioning. Information was also elicited on respondents' mental state and awareness, energy level, menopause, frequency of visits with children and family, visits from a nurse, use of home care services, sleeping patterns, smoking and drinking habits, weight gain or loss, exercises, social activities, hobbies, reading habits, television viewing, and recent deaths in the family. Demographic information includes age, education, and marital status.

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.

The goals of this study were to examine how providing Medicaid coverage for halfway house residents may affect care seeking, improve health care usage, and decrease criminal recidivism relative to providing health care through prison or jail medical facilities. To achieve these goals, we developed a researcher-practitioner partnership with the Connecticut Department of Correction (DOC) to implement a mixed-methods research design. Qualitative data collection included focus groups with halfway house residents; interviews with halfway house staff, correctional health providers, correctional officers, and state-level DOC officials; and site observations of DOC medical facilities. Quantitative data collection included collection of administrative and recidivism data from DOC, coding of study participants' DOC medical charts to measure their baseline health status and health care usage in prison or jail, and collection of Medicaid enrollment and claims data from Connecticut's Department of Social Services (DSS) to measure Medicaid enrollment and health care usage in the community.

Using a pre- and post-program design, this survey studied newly-hired home health attendants and their families, most of whom were without medical insurance until they became eligible for health benefits through their union. To assess changes in health status and health services utilization, the attendants were interviewed at the point of union enrollment, and again nine months later. The interview taken prior to enrollment in the benefits program elicited information about concern over health, recent injuries, and self-assessed health status, e.g., the presence or absence of specific health conditions such as diabetes, ulcers, arthritis, stomach trouble, high blood pressure, allergies, asthma, and back problems. Respondents were also queried about the extent and type of previous health coverage (including Medicare and disability insurance), limitations of daily functioning due to poor health, and recent health care utilization, including hospitalization, emergency room usage, and routine ambulatory care. The latter included questions about out-of-pocket expenses and the type of health services received, such as X-rays, CAT scans, sonograms, laboratory tests, electrocardiograms, stress tests, surgery, and setting of bones. Other questions addressed utilization issues of particular relevance to the New York City area, e.g., the use of city hospital clinics. The post-enrollment survey included parallel follow-up questions, as well as questions regarding the respondent's employment status and current benefits. Additional variables in the data collection include respondent's race, Hispanic origin, place of birth, past work experience, date of birth, and sex, plus the sex and dates of birth of family members.

The Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) study is a population-based survey that aims to examine and characterize a population of older men and women in rural South Africa with respect to health, physical and cognitive function, aging, and well-being, in harmonization with other Health and Retirement Studies. The baseline survey was conducted among 5,059 men and women aged 40 years or older, who were sampled from within the existing framework of the Agincourt health and socio-demographic surveillance system (AHDSS), in rural Mpumalanga province, South Africa. Survey data were collected on cognitive and physical functioning, social networks, cardiometabolic disease and risk factors, HIV and HIV risk, and economic well-being. The survey also included anthropometric measures and point-of-care blood tests for hemoglobin, glucose and lipids. Dried bloodspots (DBS) were collected at the survey and later tested for HIV, HIV viral load, glucose and CRP. A sub-sample had more extensive laboratory follow-up testing, which will be available in future data releases. A second wave of the survey was administered in 2018 through 2019, and a third wave of the survey was administered in 2021 through 2022. Demographic information includes age, sex, income, education, marital status, number of children, and employment. Harvard dataverse hosts an additional restricted-use dataset which compliments this collection, the HAALSI Baseline HIV Biomarker Data; users interested in obtaining these data must request access based on the terms outlined in the data use agreement.

This file contains demographic characteristics, medical history, school lunch milk, and breakfast programs data for 4,972 sample children ages 1-11 years.

The Healthcare Cost and Utilization Project (HCUP, pronounced "H-CUP") is a family of healthcare databases and related software tools and products developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ). HCUP databases bring together the data collection efforts of state data organizations, private data organizations, and the federal government to create a national information resource of patient-level health care data. HCUP includes the largest collection of longitudinal hospital care dta in the United States, with all-payer, encounter-level information beginning in 1988. These databases enable research on a broad range of health policy issues, including cost and quality of health services, medical practice patterns, access to health care programs, and outcomes of treatments at the national, state, and local market levels.

To learn why Latinos often lack health insurance in California, this survey interviewed a sample of employed Hispanics in that state. Respondents were interviewed about their health status, health insurance coverage, access to health care, and health care utilization. For insured respondents, the survey measured satisfaction with one's current health plan and collected information on the plan type, length of coverage with the plan, and the plan's co-pays and deductibles. Uninsured respondents were asked why they did not have health insurance, if they had tried to obtain insurance in the past year, how long it was since they last had coverage, whether or not their employer offered health insurance, and what they would expect to pay for it. Additionally, the survey gauged attitudes regarding control of one's fate, acceptability of community and free-care clinics as sources for care, the desirability of getting regular check-ups, and health insurance as a good versus a bad value for the money. Demographic and socioeconomic characteristics collected by the survey include age, sex, household size, educational attainment, religious preference, county of birth, ancestry, citizenship, number of years in the United States, ability to speak English, income, number of jobs held, size of employer (number of employees), length of time at job, industry, occupation, and labor union membership.

The 2007 Health Tracking Household Survey (HTHS) is the successor to the Community Tracking Study (CTS) Household Surveys which were conducted in 1996-1997 (ICPSR 2524), 1998-1999 (ICPSR 3199), 2000-2001 (ICPSR 3764), and 2003 (ICPSR 4216). Although the HTHS questionnaires are similar to the CTS Household Survey questionnaires, the HTHS sampling design does not have the community focus intrinsic to CTS. Whereas the CTS design focused on 60 nationally representative communities with sample sizes large enough to draw conclusions about health system change in 12 communities, the HTHS design is a national sample not aimed at measuring change within communities. Hence, "Community" was dropped from the study title. Like the CTS Household Surveys, HTHS collected information on health insurance coverage, use of health services, health expenses, satisfaction with health care and physician choice, unmet health care needs, usual source of care and patient trust, health status, adult chronic conditions, height and weight, and smoking behavior. In addition, the survey inquired about perceptions of care delivery and quality, problems with paying medical bills, use of in-store retail and onsite workplace health clinics, patient engagement with health care, sources of health information, and shopping for health care. At the beginning of the interview, a household informant provided information about the composition of the household which was used to group the household members into family insurance units (FIU). Each FIU comprised an adult household member, his or her spouse or domestic partner (same sex and other unmarried partners), if any, and any dependent children 0-17 years of age or 18-22 years of age if a full-time student (even if living outside the household). In each FIU in the household, a FIU informant provided information on insurance coverage, health care use, usual source of care, and general health status of all FIU members. This informant also provided information on family income as well as employment, earnings, employer-offered insurance plans, and race/ethnicity for all adult FIU members. Moreover, every adult in each FIU (including the FIU informant) responded through a self-response module to questions that could not be answered reliably by proxy respondents, such as questions about unmet needs, assessments of the quality of care, consumer engagement, satisfaction with physician choice, use of health information, health care shopping, and detailed health questions. The FIU informants responded on behalf of children regarding unmet needs, satisfaction with physician choice, and use of health care information.

This is the second survey in the Health Tracking Household Survey (HTHS) series, the successor to the Community Tracking Study (CTS) Household Surveys. The CTS Household Surveys were conducted in 1996-1997 (ICPSR 2524), 1998-1999 (ICPSR 3199), 2000-2001 (ICPSR 3764), and 2003 (ICPSR 4216), and the first HTHS survey was conducted in 2007 (ICPSR 26001). Although the HTHS questionnaires are similar to the CTS Household Survey questionnaires, the HTHS sampling design does not have the community focus intrinsic to CTS. Whereas the CTS design focused on 60 nationally representative communities with sample sizes large enough to draw conclusions about health system change in 12 communities, the HTHS design is a national sample not aimed at measuring change within communities. Hence, "Community" was dropped from the study title. Like the previous surveys, this survey collected information on health insurance coverage, use of health services, health expenses, satisfaction with health care and physician choice, unmet health care needs, usual source of care and patient trust, health status, and adult chronic conditions. In addition, the survey inquired about perceptions of care delivery and quality, problems with paying medical bills, use of in-store retail and onsite workplace health clinics, patient engagement with health care, sources of health information, and shopping for health care. At the beginning of the interview, a household informant provided information about the composition of the household which was used to group the household members into family insurance units (FIU). Each FIU comprised an adult household member, his or her spouse or domestic partner (same sex and other unmarried partners), if any, and any dependent children 0-17 years of age or 18-22 years of age if a full-time student (even if living outside the household). In each FIU in the household, a FIU informant provided information on insurance coverage, health care use, usual source of care, and general health status of all FIU members. This informant also provided information on family income as well as employment, earnings, employer-offered insurance plans, and race/ethnicity for all adult FIU members. Moreover, every adult in each FIU (including the FIU informant) responded through a self-response module to questions that could not be answered reliably by proxy respondents, such as questions about unmet needs, usual source of care, assessments of the quality of care, consumer engagement, satisfaction with physician choice, use of health information, health care shopping, and detailed health questions. The FIU informants responded on behalf of children regarding unmet needs, satisfaction with physician choice, and use of health care information.

The central purpose of this study was to provide descriptive information about hospitalized crime victims. More specifically, patients' knowledge of victim services, the legal justice system, and victims' rights were explored through their use of medical and dental services. From July 1, 1990, to June 30, 1991, the project staff obtained daily reports from the Medical University of South Carolina (MUSC) Admissions Office regarding new admissions to specified units. If patients granted permission, the staff member administered a Criminal Victimization Screening Schedule (CVSS) and asked permission to review the relevant portion of their medical charts. Patients were also asked if they would be willing to participate in interviews about their victimization. If so, they were given the Criminal Victimization Interview (CVI), a structured interview schedule developed for this study that included items on demographics, victim and assault characteristics, knowledge of victims' rights, and a post-traumatic stress disorder checklist. This information is contained in Part 1, Interview Data File. At the conclusion of the personal interviews, patients were referred to the Model Hospital Victim Assistance Program (MHVAP), which was developed for this project and which provided information, advocacy, crisis counseling, and post-discharge referral services to hospitalized crime victims and their families. The Follow-Up Criminal Victimization Interview (FUCVI) was administered to 30 crime victims who had participated in the study and who were successfully located 3 months after discharge from the hospital. The FUCVI included questions on health status, victim services utilization and satisfaction, and satisfaction with the criminal justice system. These data are found in Part 2, Follow-Up Data File.

The HOPE study was a multi-center randomized clinical trial mounted to determine the effects of hospital inpatient consultative comprehensive geriatric assessment (CGA) under typical practice conditions on selected patient health and health services utilization outcomes. The main outcome measures were functional status, health status, mortality, rehospitalization, and total use of health care services for hospital patients 65 years of age and older. Functional status was evaluated by questions about limitations in patients' activities of daily living due to health problems. Also included were items covering living arrangements (with whom and where), ethnicity, education, and marital status. Health status questions covered patients' perceptions of mental health and current physical health. The functional and health status of patients was measured prior to CGA treatment and randomization, again at 3 months post-randomization, and at 12 months post-randomization. Functional and health status data are included in Parts 3-8. Health services utilization data (Parts 9-15) cover patient use of medical services such as urgent care, emergency room, radiology, durable medical equipment, and medications (prescribed and over the counter). Mortality information (Part 17) includes date of lost contact or death, and data source of survival status. Hospitalization measures (Part 18) include date of admission and discharge, admittance source diagnoses and procedures, and inpatient/outpatient status.

This study investigated public reactions and physicians' views on the effects of direct-to-consumer advertising (DTCA) of prescription medications and health information on the Internet. To this end, separate surveys of the general public (Part 1) and physicians (Part 2) were conducted. The Survey of the Public collected data on demographics, health status, health insurance coverage, perceived quality of medical care, sources of medical information, and attitudes toward and experience with DTCAs and health information on the Internet. Respondents who had seen a DTCA or health information on the Internet in the past 12 months, perceived it as personally relevant, and discussed it with their physician were asked about the last time they had done this, e.g., whether they scheduled the doctor visit specifically because they wanted to discuss information they got from the Internet, whether, during or after the visit, the doctor diagnosed them with the disease or medical condition that a DTCA related to, and whether or not their physician ordered a test, changed their medication or treatment, or referred them to a specialist when they talked about a DCTA during the visit. Similarly, the Survey of Physicians explored the most recent occasion when physicians talked to a patient about information the patient found on the Internet or obtained from a DTCA. Physicians expressed their views on the impact of this information on health outcomes, health service utilization, and the physician-patient relationship. Additional topics covered by the Survey of Physicians included the role physicians played in their patients' health care decisions and role they would like to play in these decisions, physicians' use of the Internet for purposes related to the practice of medicine, and physicians' practice profiles, income, age, race, and Hispanic origin. The data from the Survey of Physicians include variables from the American Medical Association's (AMA) master files such as sex, type of medical specialty, and year of graduation from medical school.

The TILDA Series data files, including studies 34315, 38681, 37105, 37106, 38670, 38674, are no longer available from ICPSR and NACDA at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/). The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a two yearly basis with a sample cohort of 8,504 people aged 50 and over (or their spouses/partners) and resident in Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized. Demographic and background variables include age, sex, marital status, household composition, education, and employment.

The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/). The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a two yearly basis with a sample cohort of 8,504 people aged 50 and over (or their spouses/partners) and resident in Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized. The second wave of TILDA interviews were undertaken between February 2012 and March 2013. Of the 8,504 interviewed in Wave 1, a second interview was obtained for 7,445 respondents. These consisted of the self, proxy and end-of-life interviews types. In addition to the returning respondents, 170 interviews were obtained from eligible household members who had chosen not to take part in Wave 1 or the new spouses/partners of existing respondents. Demographic and background variables include age, sex, marital status, household composition, education, and employment.

The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/). The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a two yearly basis with a sample cohort of 8,504 people aged 50 and over (or their spouses/partners) and resident in Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized. The third wave of TILDA interviews were undertaken between March 2014 and October 2015. Of the 7,445 interviewed in Wave 2, a third interview was obtained for 6,874 respondents. These consisted of the self, proxy and end-of-life interviews types. In addition to the returning respondents, 28 interviews were obtained from eligible household members who had chosen not to take part in Wave 1 or the new spouses/partners of existing respondents. Demographic and background variables include age, sex, marital status, household composition, education, and employment.

The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/). The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a one year basis with a sample cohort of residents of Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized. The fourth wave of TILDA interviews were undertaken between January and December 2016. A total of 5,713 participants completed the self-interview. Demographic and background variables include age, sex, marital status, household composition, education, and employment.

The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/). The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College Dublin which aims to produce a massive improvement in the quantity and quality of data, research and information relating to older people and ageing in Ireland. Eligible respondents for this study include individuals aged 50 and over and their spouses or partners of any age. The study involves interviews on a one year basis with a sample cohort of residents of Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Both survey interviews and physical and biological measurements are utilized. The fifth wave of TILDA interviews were undertaken between January and December 2018. A total of 4,978 participants completed the self-interview. Demographic and background variables include age, sex, marital status, household composition, education, and employment.

The Japanese General Social Surveys (JGSS) Project is a Japanese version of the General Social Survey (GSS) project closely replicating the original GSS of the National Opinion Research Center at the University of Chicago. It provides data for analyses of Japanese society, attitudes, and behaviors, which makes possible international comparisons. Respondents were asked about employment, family and household composition, education, entertainment, technology and Internet usage, status and opinions on mental and physical health, alcohol and tobacco use, life satisfaction, addiction, proficiency with English, voting behavior, opinions on political and social issues, taxes and government expenditure, views on burial, family beliefs and issues, trust in people and institutions, membership in organizations, volunteering, perception of their personal appearance, receiving help from others, and their neighborhood environment. Demographic questions included age, sex, marital status, household income, and religious orientation and behavior.

This study includes public user data files of two waves of interviews with L.A.FANS respondents. There often are multiple respondents in L.A.FANS households and Wave 2 includes both panel respondents and a new sample. Users' Guides which explain the design and how to use the sample are available for Wave 1 and Wave 2 at the RAND website. The Los Angeles Family and Neighborhood Survey (L.A.FANS) is a two-wave study of adults and children in Los Angeles County and of the neighborhoods in which they live. The first wave (L.A.FANS-1), which was fielded between April 2000 and January 2002, interviewed adults and children living in 3,085 households in a stratified probability sample of 65 neighborhoods throughout Los Angeles County. The samples of neighborhoods and individuals were representative of neighborhoods and residents of Los Angeles County. Poorer neighborhoods and households with children were oversampled. In Wave 2 of L.A.FANS (L.A.FANS-2), Wave 1 respondents living in Los Angeles County were reinterviewed and updated information was collected on Wave 1 respondents who had moved away from Los Angeles County. A sample of individuals who moved into each sampled neighborhood between Waves 1 and 2 was also interviewed, for a total of 2,319 adults and 1,382 children (ages less than 18 years). Additional information on the project is available at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides (Wave 1 and Wave 2) RAND Documentation Reports page

This study includes a restricted data file for Wave 1 of the L.A.FANS data. To compare L.A.FANS restricted data, version 1 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 1 (study 1). This file adds only a few variables to the L.A.FANS, Wave 1 public use files. Specifically, it adds a "pseudo-tract ID" which is a number from 1 to 65, randomly assigned to each census tract (neighborhood) in the study. It is not possible to link pseudo-tract IDs in any way to real tract IDs or other neighborhood characteristics. However, pseudo-tract IDs permit users to conduct analyses which take into account the clustered sample design in which neighborhoods (tracts) were selected first and then individuals were sampled within neighborhoods. Pseudo-tract IDs do so because they identify which respondents live in the same neighborhood. It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 1 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 1 restricted data file. Please note that L.A. FANS restricted data may only be accessed within the ICPSR Virtual Data Enclave (VDE) and must be merged with the L.A. FANS public data prior to beginning any analysis. A Users' Guide which explains the design and how to use the samples are available for Wave 1 at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides (Wave 1 and Wave 2) RAND Documentation Reports page

This study includes restricted data file, version 2, for Wave 1 of the L.A.FANS data. To compare L.A.FANS restricted data, version 2 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 1 (study 1). This file adds only a few variables to the L.A.FANS, Wave 1 public use files. Specifically, it adds the census tract number for the tract each respondent lives in. It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 1 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 2 restricted data file. Please note that L.A. FANS restricted data may only be accessed within the ICPSR Virtual Data Enclave (VDE) and must be merged with the L.A. FANS public data prior to beginning any analysis. A Users' Guide which explains the design and how to use the samples are available for Wave 1 at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides (Wave 1 and Wave 2) RAND Documentation Reports page

This study includes restricted data version 2.5, for Wave 1 of the L.A.FANS data. To compare L.A.FANS restricted data, version 2.5 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 1 (study 1). This file adds only a few variables to the L.A.FANS, Wave 1 public use files. Specifically, it adds the census tract and block number for the tract each respondent lives in. It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 1 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 2.5 restricted data file. Please note that L.A. FANS restricted data may only be accessed within the ICPSR Virtual Data Enclave (VDE) and must be merged with the L.A. FANS public data prior to beginning any analysis. A Users' Guide which explains the design and how to use the samples are available for Wave 1 at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides (Wave 1 and Wave 2) RAND Documentation Reports page

This study includes restricted data version 3, for Wave 1 of the L.A.FANS data. To compare L.A.FANS restricted data, version 3 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 1 (study 1). This file adds only a few variables to the L.A.FANS, Wave 1 public use files. Specifically, it adds the census tract and block number for the tract each respondent lives in and geographic coordinates data for a number of locations reported by the respondent (including home, grocery store, place of work, place of worship, schools, etc.). It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 1 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 3 restricted data file. Please note that L.A. FANS restricted data may only be accessed within the ICPSR Virtual Data Enclave (VDE) and must be merged with the L.A. FANS public data prior to beginning any analysis. A Users' Guide which explains the design and how to use the samples are available for Wave 1 at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides (Wave 1 and Wave 2) RAND Documentation Reports page

This study includes public user data files of two waves of interviews with L.A.FANS respondents. There often are multiple respondents in L.A.FANS households and Wave 2 includes both panel respondents and a new sample. Users' Guides which explain the design and how to use the sample are available for Wave 1 and Wave 2 at the RAND website. The Los Angeles Family and Neighborhood Survey (L.A.FANS) is a two-wave study of adults and children in Los Angeles County and of the neighborhoods in which they live. The first wave (L.A.FANS-1), which was fielded between April 2000 and January 2002, interviewed adults and children living in 3,085 households in a stratified probability sample of 65 neighborhoods throughout Los Angeles County. The samples of neighborhoods and individuals were representative of neighborhoods and residents of Los Angeles County. Poorer neighborhoods and households with children were oversampled. In Wave 2 of L.A.FANS (L.A.FANS-2), Wave 1 respondents living in Los Angeles County were reinterviewed and updated information was collected on Wave 1 respondents who had moved away from Los Angeles County. A sample of individuals who moved into each sampled neighborhood between Waves 1 and 2 was also interviewed, for a total of 2,319 adults and 1,382 children (ages less than 18 years). Additional information on the project is available at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides (Wave 1 and Wave 2) RAND Documentation Reports page

This study includes a restricted data file for Wave 2 of the L.A.FANS data. To compare L.A.FANS restricted data, version 1 with other restricted data versions, see the table on the series page for the L.A.FANS data here. Data in this study are designed for use with the public use data files for L.A.FANS, Wave 2 (study 2). This file adds only a few variables to the L.A.FANS, Wave 2 public use files. Specifically, it adds a "pseudo-tract ID" which is a number from 1 to 65, randomly assigned to each census tract (neighborhood) in the study. It is not possible to link pseudo-tract IDs in any way to real tract IDs or other neighborhood characteristics. However, pseudo-tract IDs permit users to conduct analyses which take into account the clustered sample design in which neighborhoods (tracts) were selected first and then individuals were sampled within neighborhoods. Pseudo-tract IDs do so because they identify which respondents live in the same neighborhood. It also includes certain variables, thought to be sensitive, which are not available in the public use data. These variables are identified in the L.A.FANS Wave 2 Users Guide and Codebook. Finally, some distance variables and individual characteristics which are treated in the public use data to make it harder to identify individuals are provided in an untreated form in the Version 1 restricted data file. Please note that L.A. FANS restricted data may only be accessed within the ICPSR Virtual Data Enclave (VDE) and must be merged with the L.A. FANS public data prior to beginning any analysis. A Users' Guide which explains the design and how to use the samples are available for Wave 2 at the RAND website. Additional information on the project, survey design, sample, and variables are available from: Sastry, Narayan, Bonnie Ghosh-Dastidar, John Adams, and Anne R. Pebley (2006). The Design of a Multilevel Survey of Children, Families, and Communities: The Los Angeles Family and Neighborhood Survey, Social Science Research, Volume 35, Number 4, Pages 1000-1024 The Users' Guides (Wave 1 and Wave 2) RAND Documentation Reports page