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MOUD remains an underutilized evidence-based practice with potential to reduce opioid use disorder (OUD) and save lives. Washington State expanded its Hub & Spoke (H&S) model for OUD medication treatment (MOUD: buprenorphine, methadone, naltrexone) by funding additional networks and developing a low-barrier, Opioid Treatment Network (OTN) model. The Washington H&S model was designed as a flexible approach incorporating primary care and substance use treatment programs, referral organizations, nurse care managers and care navigators. The OTN model offers MOUD induction in non-traditional settings (e.g., emergency departments, jails) with connections to community partners who will offer MOUD maintenance.

This study examined the implementation and effectiveness of the H&S and OTN models for increasing MOUD treatment and improving outcomes for people with OUD. Washington's H&S and OTN interventions were funded through federal STR/SOR opioid response grants, and the expanded H&S networks were funded through the state. The study, Hub and Spoke Opioid Treatment Networks: 2nd Generation Approaches to Improve Medication Treatment for Opioid Use Disorders (R01DA0561067), and its supplement (R01DA0561067S1) was part of NIH's HEAL initiative, and built on an earlier study (R33DA045851). All three studies were supported by the National Institute on Drug Abuse.

Expanding Access to Low-Barrier Opioid Use Disorder Treatment in Non-Traditional Settings: Washington's Opioid Treatment Network

• Increasing utilization of medications that treat opioid use disorders (MOUD) remains an essential strategy to curb the opioid crisis nationwide, especially among rural areas where access can present challenges. Washington State expanded access to MOUD through its opioid treatment networks (OTN), which provide low-barrier access to MOUD in non-traditional settings with an emphasis on buprenorphine and rural locations. The study examined changes in buprenorphine utilization between Medicaid beneficiaries who initiated treatment at OTNs compared to individuals outside OTN facilities and by rural-urban residence.

Differential Changes in Use of Medications for Opioid Use Disorder by Race-Ethnicity: Effects of a Hub-and-Spoke Model

• This study assessed whether delivery of opioid use disorder (OUD) treatment through a hub and spoke (HS) model is associated with better adherence to psychotropic medication treatment, compared to usual treatment. Washington State's HS model required each network to include at least one mental health program, so it was hypothesized that it would improve psychotropic medication adherence for people with both a mental health disorder (MHD) and an OUD.

Treatment for Comorbid Mental Health Disorders Among Patients Treated for Opioid Disorder: The Role of a Hub and Spoke Intervention

• The research team examined, separately for different racial-ethnic groups, whether use of medications for opioid use disorder (MOUD) increased more among people treated in a hub-and-spoke care model than among people treated in a non-hub-and-spoke model.

In partnership with the Maine Department of Health and Human Services, this study analyzed approximately 200 case files of Maine Adult Protective Services (APS) substantiated investigations of financial exploitation that were opened and completed from 2007 through 2012. The case files included detailed information about the types of abuse individuals experienced, their functional limitations, and severity of risk status. The research team linked the case files with the individuals' Medicare and Medicaid claims data from 2006 through 2014 to examine their claims experience one year prior to APS contact, during their APS event year, and two years following their APS event year. Using a quasi-experimental design, the research team established health care use and cost profiles of the APS clients and compared their profiles to matched controls in the general older population. The project aimed to advance knowledge of the financial impact of elder abuse.

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.

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.

The Annual Social and Economic (ASEC) 2015 Supplement is part of the Current Population Survey (CPS) Series. The CPS is a source of the official Government statistics on employment and unemployment. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage, and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full-time, total income and supplemental income components. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in a category entitled "Arts, Design, Entertainment, Sports, and Media Occupations," which includes professions such as artists, designers, actors, musicians, and writers (see Appendix B of the User Guide for further category details). Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category (see Appendix C of the User Guide for further category details).

The ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

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

This data collection has seven data files:

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

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

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

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

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

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

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

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

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

The AIDS Drug Assistance Program (ADAP) Data Report (ADR) includes two components: the Grantee Report and the Client Report. All ADAPs are required to submit both reports.

The Grantee Report is a collection of basic information about the grantee characteristics and policies. It includes a Programmatic Summary section and an Annual Submission section.

The Client Report (or client-level data) is a collection of one record for each client enrolled in the ADAP. Each record includes the client's encrypted unique identifier, basic demographic data, and enrollment and certification information. A client's record may also include data about the ADAP-funded insurance and medication received, including the costs of these services, as well as HIV clinical information.

Purpose. This was a Data Capacity-Building Project, to build a robust comparative effectiveness research infrastructure, agenda, and collaborative partnerships focused on eliminating health disparities. Specifically, a database was built comprised of all Medicaid enrollees and claims in the states that share in common both adverse minority health outcomes and the historical roots of racial health disparities in the South.

Setting and Participants. A 100 percent sample of four years 2004-2007 of Medicaid Analytic Extract (MAX-file) data (plus Medicare-linked claims for dual-eligibles) from fourteen southern states, representing 3.8 to 5.4 million persons each year (one-third of all United States Medicaid enrollees, nearly half [48 percent] of African American and 21 percent of Latino Medicaid enrollees in the United States) was obtained from the Centers for Medicare and Medicaid Services (CMS). This region is the epicenter of the Black-White health disparities epidemic, and has also experienced a recent and rapid influx of Latino immigrants. This project provided support for personnel and infrastructure needed to efficiently organize and analyze these data to support minority investigators. The HBCU-based team had extensive previous experience training health services researchers (especially minority investigators) to use Medicaid claims data for research.

Specific Aims: Using Medicaid Claims Data

1. To build a Medicaid claims dataset (including socieconomic, contextual, and geospatial analytic variables, NDC cross-walk data and therapeutic class codes, as well as certain Medicare data for dual-eligibles) to support projects focused on the intersection between disparities research and comparative effectiveness research in clinically and socially complex patient populations.

2. To create an efficient process for assisting non-Morehouse investigators to develop research protocols, analysis plans, CMS data re-use requests, and analytic files for collaborative research.

3. To train, develop, cultivate, and support emerging minority investigators (especially at Historically Black colleges and universities (HBCUs) and other minority-serving institutions) as independently-funded health services researchers who are increasingly proficient in multivariate analysis of Medicaid and Medicare claims data.

4. Cultivate comparative effectiveness and disparities research collaborations with Georgia Tech experts in mathematics, complexity science, simulation modeling, and interactive computing.

Relevance. Medicaid patients are characterized by clinical and social complexity -- the very characteristics which often exclude them from clinical trials and yet drive health disparities. This Medicaid-based dataset populates studies that help users understand how local area, provider-level, and patient-level differences in treatment (natural experiments in comparative effectiveness) influence clinical and economic outcomes. Variation implies that disparities are not inevitable. The comparative impact of this natural variation can be measured in meaningful outcomes such as emergency department visits, hospital admissions, inpatient bed-days, deaths, and total Medicaid expenditures, as well as community-level disparity rate-ratios. Medicaid data allow users to follow a complex patient (e.g., comorbid diabetes and schizophrenia or COPD and CHF) from treatment to outcomes through every billable service in the health care system (i.e., from doctor's visit to lab tests to prescriptions to emergency room visits or hospital admissions). Morehouse School of Medicine has a unique ability to develop a new cadre of minority investigators to conduct and interpret the results of health services research with a racially sensitive, culturally competent perspective.

Data Overview. The Centers for Medicare and Medicaid Services produces the MAX-files from Medicaid Statistical Information System (MSIS) data submitted by each state, with some data cleaning and validation by CMS sub-contractors before data are released to researchers.

The MAX-file data from CMS were loaded onto encrypted, secure servers at Morehouse School of Medicine. Research analytic files were created for each sub-project, including sickle cell disease, diabetes and schizophrenia; asthma; dementia; and congestive heart failure. For specific sub-projects, contextual variables from census data or area resource file were linked by county FIPS code.

Data Access. The data cannot be made publicly available. Data are stored on Morehouse School of Medicine encrypted servers, and may be used only for projects covered within the aims of the original research protocol and Centers for Medicare and Medicaid Services (CMS)-approved data use agreement. Data sharing is allowed only for research protocols approved under data re-use requests by the CMS privacy board. The CMS process for data re-use requests is described at the ResDAC Web site.

Due to limitations of research staff within the Morehouse National Center for Primary Care, and limitations of the existing CMS data use agreement, only re-use requests consistent with the original aims of the approved research protocol are considered (temporal and geographic variation in racial-ethnic disparities in quality, access and outcomes for Medicaid enrollees in 14 southern states). Specific aims of the current research protocol define the boundaries of what kind of research questions could be answered or sub-projects developed within the existing research protocol and data use agreement (see above "Specific Aims" section). A worksheet for developing an analysis plan for a specific research question is attached. Parties interested in the data should contact George Rust, MD, MPH ([email protected]).

Six SAS program syntax files used for data analysis, however, are available on the ICPSR site.

Aside from data re-use requests, the Morehouse National Center for Primary Care is open to collaborations which address these research aims and are consistent with their health equity research priorities, in which analyses could be performed by the Morehouse National Center for Primary Care research team and papers authored or co-authored by faculty from other minority-serving institutions or affiliated with the Research Centers in Minority Institutions (RCMI) Translational Research Network (RTRN).

Overview

The North Carolina Integrated Data for Researchers (NCIDR, pronounced "Insider") was funded to develop a robust research data warehouse for storing merged data from four different publicly-funded sources in North Carolina. Community Care of North Carolina maintains this unique database on behalf of the North Carolina Department of Health and Human Services, and facilitates requests for access to integrated behavioral health services data for research purposes. This expanded data set has great value to researchers in North Carolina and elsewhere. The NCIDR warehouse is a unique resource for obtaining the most complete picture of the health services delivered to people with severe mental illness in North Carolina. Few examples of such an integrated warehouse exist anywhere else, and NCIDR makes it possible for researchers and epidemiologists to conduct comparative effectiveness research related to people with these conditions.

The merged data sources include:

• Medicaid claims and enrollment data for nearly 1 million individuals with MH, DD and SA diagnoses.
• IPRS (Integrated Payment and Reporting System) -- covers primarily outpatient mental health services for people that do not qualify for Medicaid (approximately 250,000 individuals).
• HEARTS (Healthcare Enterprise Accounts Receivable Tracking System) -- documents services delivered by inpatient State Mental Health facilities (approximately 25,000 individuals).
• Piedmont Behavioral Health (Medicaid waiver) -- behavioral health encounter data from Medicaid's capitated arrangement in five counties (approximately 25,000 individuals).

Data are available for four state fiscal years, 2008 through 2011 (7/1/2007--6/30/2011). Each year has three data sets (claims, client, provider) in addition to multiple lookup tables with definitions. Population includes any Medicaid client with a claim that contains any MH, DD or SA (290xx through 319xx) diagnosis at least once in the four year time period, plus all clients appearing in the other 3 data sources. Requests will need to specify required time periods and clearly define the population being studied. Note that individuals dually enrolled with Medicare during months in which they are dually enrolled are excluded.

The data available for future use will include a claims file, a client file, a provider file and multiple lookup files. The claims file contains approximately 83 columns including 30 columns for diagnosis codes. The client file is approximately 78 columns which displays 12 columns each (one for each month in the SFY) for eligibility, enrollment, assigned network, primary care physician and dual status indicator. There are 5 columns in the Provider file. The lookup file will contain tables for every code that requires a description. The data will be parsed into individual state fiscal years.

Data Access

These data are not available from ICPSR. The process for requesting access to the integrated data is detailed on the NCIDR Web site, specifically the Request Process Overview page. Researchers interested in requesting access are strongly encouraged to contact the Director of Evaluation at [email protected] to discuss his/her intent to submit a Request Form. Some may also need to complete the Data Use Agreement if requesting data that are not completely de-identified.

Although IRB approval must be documented prior to release of data, NCIDR will accept applications with conditional IRB approval and researchers may discuss projects with the Director of Evaluation at any stage of development. A Research Oversight Committee (ROC) that includes stake holders from the NC Department of Health and Human Services (DHHS), the NC Division of Medical Assistance (DMA), the NC Division of State Operated Healthcare Facilities (DSOHF), the NC Division of Mental Health, Developmental Disabilities and Substance Abuse Services (DMHDDSAS), the NC Office of Rural Health and Community Care (ORHCC), the Community Care of North Carolina (CCNC) and other community partners will review research requests and grant approval when applicable. Once approved, please note that CCNC must charge a nominal fee of $3,000 to cover costs related to the preparation and transmission of files to the researcher (additional charges may apply depending on the specific programming needs).

Overview. The Post-Acute Care Supplement (PACS) files were developed from two administrative data sets that capture assessments at multiple points in post-acute care: the Outcome and Assessment Information Set (OASIS) Summary File (OASF): 2000-2010, which covers home health care, and the Long-Term Care Annual Summary File (LTCASF): 2000-2010, which covers nursing homes. Annual files were developed for the period 2000 to 2010 that summarize health conditions, functional status, and care patterns into one observation per beneficiary per year.

Data Access. These data are not available from ICPSR. Because the data contain confidential CMS assessment data, researchers will need to secure a data use agreement from CMS. For researchers who secure a DUA, the files will be distributed to them through the Medicare/Medicaid Research Information Center (MedRIC) ([email protected]).

Oral contraceptive (OC) users living in El Paso, Texas were interviewed to assess motivations for patronizing a United States clinic or a Mexican pharmacy with over-the-counter (OTC) pills and to determine which women were likely to use the OTC option. The experiences of OC users who obtained their contraception from Mexican pharmacies were compared with those of women who obtained their pills from family planning clinics in El Paso, Texas, where eligible low-income women often pay nothing. 532 clinic users and 514 pharmacy users were surveyed about background characteristics, motivations for choosing their oral contraception source, and satisfaction with this source. For more information, please see the Border Contraceptive Access Study website.

This data collection is comprised of responses from the March and April installments of the 2008 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked questions from the March supplement, known as the Annual Social and Economic (ASEC) supplement. The ASEC provides supplemental data on work experience, income, noncash benefits, and migration. Comprehensive work experience information was given on the employment status, occupation, and industry of persons 15 years old and older. Additional data for persons 15 years old and older are available concerning weeks worked and hours per week worked, reason not working full time, total income and income components, and place of residence on March 1, 2007. The March supplement also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Questions covering training and assistance received under welfare reform programs, such as job readiness training, child care services, or job skill training were also asked in the March supplement.

The April supplement, sponsored by the Department of Health and Human Services, queried respondents on the economic situation of persons and families for the previous year. Moreover, all household members 15 years of age and older that are a biological parent of children in the household that have an absent parent were asked detailed questions about child support and alimony. Information regarding child support was collected to determine the size and distribution of the population with children affected by divorce or separation, or other relationship status change. Moreover, the data were collected to better understand the characteristics of persons requiring child support, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.

The April supplement data were matched to March supplement data for households that were in the sample in both March and April 2008. In March 2008, there were 4,522 household members eligible, of which 1,431 required imputation of child support data. When matching the March 2008 and April 2008 data sets, there were 170 eligible people on the March file that did not match to people on the April file. Child support data for these 170 people were imputed. The remaining 1,261 imputed cases were due to nonresponse to the child support questions.

Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.

This data collection is comprised of data from the 2008 Annual Social and Economic Supplement (ASEC), and is a part of the Current Population Survey (CPS) Series. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full time, total income and supplemental income components. Additional data are included that cover training and assistance received under welfare reform programs such as job readiness training, child care services, or job skill training. Data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance are also included.

Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The original ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

This data collection is comprised of data from the 2009 Annual Social and Economic Supplement (ASEC), and is a part of the Current Population Survey (CPS) Series. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full time, total income and supplemental income components. Additional data are included that cover training and assistance received under welfare reform programs such as job readiness training, child care services, or job skill training. Data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance are also included.

Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The original ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

This data collection is comprised of data from the 2010 Annual Social and Economic Supplement (ASEC), and is a part of the Current Population Survey (CPS) Series. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full time, total income and supplemental income components. Additional data are included that cover training and assistance received under welfare reform programs such as job readiness training, child care services, or job skill training. Data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance are also included.

Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The original ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit.

The purpose of this survey was to obtain information on the characteristics and practice patterns of early career physicians in order to analyze trends in physicians' activities and the supply of physicians. To that end, the survey interviewed early career physicians and re-interviewed physicians who participated in the previous survey of early career physicians PRACTICE PATTERNS OF YOUNG PHYSICIANS, 1987 (ICPSR 9277). With separate samples drawn for allopathic and osteopathic physicians, the respondents were interviewed about their medical training, medical education financing, career choices and satisfaction, practice arrangements and compensation, and patient care activities. They were also questioned about medical care management in their practice(s), perceptions of their freedom to deliver care, medical malpractice claims, and the composition of their patients, such as the percent who were poor, black, Hispanic, uninsured, covered by Medicaid or Medicare, or had severe physical disabilities, chronic mental illness, or problems with substance abuse. Demographic characteristics covered by the survey include race, Hispanic origin, year of birth, marital status, number and ages of children, and parents' education.

In addition to the variables collected by survey, the allopath sample data also comprise variables obtained from the American Medical Association (AMA) and the Student and Applicant Information Management System (SAIMS) of the Association of American Medical Colleges (AAMC). The AMA variables include gender, name of medical school, board certification status, physician's specialty, and AMA membership, while the SAIMS variables include dates of application to medical school, graduation dates, Medical College Admission Test (MCAT) scores, undergraduate grade-point averages, religious preference, career preference, preferred practice setting, educational debt, scholarship information, and participation in courses/clerkships in different subject areas.

The study comprises five data files. Dataset 1 contains the public-use version of the data for the allopath sample and Dataset 2 the public-use version of the data data for the osteopath sample. Both of these files were generated by ICPSR from the original restricted-use allopath and osteopath data files provided by the principal investigator, which are stored as Datasets 3 and 4 respectively. As noted in the ICPSR Processing Note in the codebook, Dataset 5 contains 26 restricted variables which the principal investigator omitted from the original allopath data (Dataset 3) for reasons of confidentiality. ICPSR received the omitted variables in 2009, 14 years after its initial release of the data.

This data collection is comprised of data from the 2006 Annual Social and Economic Supplement (ASEC), and is a part of the Current Population Survey (CPS) Series. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full time, total income and supplemental income components. Additional data are included that cover training and assistance received under welfare reform programs such as job readiness training, child care services, or job skill training. Data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance are also included.

Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The original ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit. For ease of analysis at the person-level, ICPSR created a rectangular file structure that contains a record for every person with the respective Household and Family variables prepended to the Person variables. Part 1 contains the rectangular data file and Part 2 contains the original hierarchical data file.

This data collection is comprised of data from the 2007 Annual Social and Economic Supplement (ASEC), and is a part of the Current Population Survey (CPS) Series. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full time, total income and supplemental income components. Additional data are included that cover training and assistance received under welfare reform programs such as job readiness training, child care services, or job skill training. Data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance are also included.

Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.

The original ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit. For ease of analysis at the person-level, ICPSR created a rectangular file structure that contains a record for every person with the respective Household and Family variables prepended to the Person variables. Part 1 contains the rectangular data file and Part 2 contains the original hierarchical data file.

This data collection is comprised of responses from the March and April installments of the 2006 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked questions from the March supplement, known as the Annual Social and Economic (ASEC) supplement. The ASEC provides supplemental data on work experience, income, noncash benefits, and migration. Comprehensive work experience information was given on the employment status, occupation, and industry of persons 15 years old and older. Additional data for persons 15 years old and older are available concerning weeks worked and hours per week worked, reason not working full time, total income and income components, and place of residence on March 1, 2005. The March supplement also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Questions covering training and assistance received under welfare reform programs, such as job readiness training, child care services, or job skill training were also asked in the March supplement.

Respondents were asked supplemental questions in April about the economic situation of persons and families for the previous year. All household members 15 years of age and older that are a biological parent of children in the household from an absent parent were asked detailed questions about child support and alimony. Information regarding child support was collected to determine the size and distribution of the population with children affected by divorce or separation, or other relationship status change. Moreover, the data were collected to better understand the characteristics of persons requiring child support, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.

The April supplement data were matched to March supplement data for households that were in the sample in both March and April 2006. In March 2006, there were 4,635 household members eligible, of which 1,453 required imputation of child support data. When matching the March 2006 and April 2006 data sets, there were 190 eligible people on the March file that did not match to people on the April file. Child support data for these 190 people were imputed. The remaining 1,263 imputed cases were due to nonresponse to the child support questions.

Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.

This data collection is comprised of responses from the March and April installments of the 2004 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked supplemental questions in March about the economic situation of persons and families for the previous year. The same housing units interviewed in March were contacted again to be interviewed in April. In these housing units, all women aged 15 years and older, who had children, were asked the April CPS supplemental questions, which concerned child support. The March supplement data were matched to April supplement data for households that were in the sample in both March and April 2004. In March 2004, there were 4,816 household members eligible, of which 1,463 required imputation of child support data.

Information regarding child support was collected to determine the size and distribution of the population with children affected by divorce or separation, or other relationship status change. Moreover, the data were collected to better understand the characteristics of persons requiring child support, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.

This collection also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, the Civilian Health and Medical Program of the Uniformed Services (CHAMPUS), and energy assistance. The collection also contains data covering training and assistance received under welfare reform programs, such as job readiness training, child care services, or job skill training. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.

This data collection is comprised of responses from the March and April installments of the 1986 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked supplemental questions in March about income. About 42,200 of the housing units interviewed in March were interviewed again in April. In these housing units all women 18 years of age and older who had children were asked the April CPS supplemental questions. These questions concerned child support and alimony payments. Of the 43,091 women found eligible in March, 37,671 of them matched women interviewed in April. For the remaining 5,420 women interviewed in March, the child support and alimony information was imputed.

Information regarding child support and alimony was collected to determine the size and distribution of the female population with children affected by divorce or separation. Moreover, the data were collected to better understand the characteristics of persons requiring child support and alimony, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.

This collection also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance, employer-provided pension plan, personal health insurance, Medicaid, Medicare, the Civilian Health and Medical Program of the Uniformed Services (CHAMPUS), and energy assistance. Demographic variables include age, sex, race, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.

This data collection is comprised of responses from the March and April installments of the 1988 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked supplemental questions in March about the economic situation of persons and families for the previous year. About 39,000 of the housing units interviewed in March were interviewed again in April. In these housing units, all women aged 15 and older, who had children, were asked the April CPS supplemental questions. These questions concerned child support and alimony payments. Of the 42,867 women found eligible in March, 36,647 of these women matched women interviewed in April. For the remaining 6,220 women interviewed in March, the child support and alimony information was imputed.

Information regarding child support and alimony was collected to determine the size and distribution of the female population with children affected by divorce or separation. Moreover, the data were collected to better understand the characteristics of persons requiring child support and alimony, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.

This collection also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance, employer-provided pension plan, personal health insurance, Medicaid, Medicare, the Civilian Health and Medical Program of the Uniformed Services (CHAMPUS) and energy assistance. Demographic variables include age, sex, race, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.

This data collection is comprised of responses from the March and April installments of the 1992 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.

The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.

In addition to the basic CPS questions, respondents were asked supplemental questions in March about the economic situation of persons and families for the previous year. About 53,000 of the housing units interviewed in March were interviewed again in April. In these housing units, all women aged 15 years and older, who had children, were asked the April CPS supplemental questions. These questions concerned child support and alimony payments. Of the 84,000 women found eligible in March, 80,000 of these women matched women interviewed in April. For the remaining 4,000 women interviewed in March the child support and alimony information was imputed.

Information regarding child support and alimony were collected to determine the size and distribution of the female population with children affected by divorce or separation. Moreover, the data were collected to better understand the characteristics of persons requiring child support and alimony, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.

This collection also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance, employer-provided pension plan, personal health insurance, Medicaid, Medicare, the Civilian Health and Medical Program of the Uniformed Services (CHAMPUS), and energy assistance. Demographic variables include age, sex, race, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.