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• The US Social and Health Policy Dataset
• The Massachusetts Social and Health Policy Dataset
• Data dictionaries and other technical documentation for both datasets.

• Nicholson K, Stantchev M, Allen J, Bien-Aime D, Duncan S, Reddy A, Sonik RA. (2026) U.S. Social and Health Policy Dataset. Heller School of Social Policy and Management,Brandeis University https://heller.brandeis.edu/ihs/research/index.html
• Nicholson K, Bien-Aime D, Stantchev M, Allen J, Reddy A, Sonik RA. (2026) Massachusetts Social and Health Policy Dataset. Heller School of Social Policy and Management, Brandeis University, https://heller.brandeis.edu/ihs/research/index.html

The Preserving Kidney Function in Children With Chronic Kidney Disease (PRESERVE) study was designed to provide new knowledge to inform shared decision-making regarding blood pressure (BP) management for pediatric chronic kidney disease (CKD). PRESERVE compared the effectiveness of alternative strategies for monitoring and treating hypertension on preserving kidney function; expanded the National Patient-Centered Clinical Research Network (PCORnet) Common Data Model by adding pediatric- and kidney-specific variables and linking electronic health record data to other kidney disease databases; and assessed the lived experiences of patients related to BP management.

Participants were recruited from 15 clinical institutions across the United States. The research team analyzed electronic health record (EHR) data from 11,851 children with CKD and their caregivers to compare different ways to monitor and treat BP to preserve kidney function. In addition, a subset of patients and caregivers completed an online survey detailing patient-reported outcomes, such as fatigue, life satisfaction, pain levels, sleep disturbance, anxiety, and peer relationships (n=395).

Due to the risk of re-identification based on unique patterns in the individual-level PCORnet electronic health record (EHR) data, patient privacy regulations prohibit the public release of the individual-level data. This collection contains the code underlying the analysis; instructions, codesets, and output lists for the PCORnet queries; and the survey questionnaires for patients and family members.

Patients treated for metastatic cancer, or cancer that has spread to another part of the body, often have symptoms from cancer and its treatment. They may feel tired, depressed, or nauseated. They may find it hard to do their usual activities. Better symptom tracking may help improve patients' care. For example, symptom tracking could quickly alert doctors when a patient may need a different medicine. In this study, the research team compared use of a weekly electronic symptom tracking system versus usual care for patients with cancer. Patients receiving usual care could report their symptoms to their care team during regular clinic visits. The research team wanted to see if the tracking system helped patients live longer, have better quality of life, or go to the hospital or emergency room less often. The aims of this study were as follows:

1. Determine whether integrating electronic patient-reported outcomes (ePRO) in cancer care improves patient-centered outcomes;
2. Elicit perspectives about benefit burden tradeoffs for integrating patient-reported outcomes into clinical workflow; and
3. Identify barriers, facilitators, and strategies used by practices to integrate patient-reported outcomes into clinical workflow.

A total of 1,191 patients were enrolled from 52 U.S.-based community oncology practices. Randomization into intervention and control conditions occurred at the site level. Data collected as part of this study included patient clinical information; weekly symptom surveys, quality of life surveys, and cancer care surveys completed by patients; feedback on the ePRO intervention from patients, clinical research associates, nurses, and physicians; and symptom alerts sent to nursing staff. Please note that while qualitative data were collected as part of this study, they are not available.

Comparative effectiveness research compares two or more treatments to see which one works better for certain patients. Researchers often use data from patients' electronic health records to compare different treatments. This study addresses some problems that can arise from this practice. In some long-term research studies, researchers use data collected when patients in the studies see their doctors. Regularly scheduled doctor visits, called well visits, include yearly checkups or periodic blood pressure checks. Other doctor visits, called sick visits, occur when a patient feels sick or needs special care.

Well and sick visits can produce different types of health record data. In addition, test results at sick visits may be different from results at well visits. Using data from sick visits may inappropriately influence, or bias, a study's results. Also, patients may go to the doctor more often when they have symptoms or chronic health problems. Researchers may then collect more data from these patients than they collect from the healthier patients. Unequal amounts of data per patient make it harder to compare treatment results.

For this study, the research team created three tests to find if data from sick visits lead to bias in a study's findings. The team also compared standard and newer statistical methods for analyzing data that include sick visits. Researchers designed the newer methods to reduce bias from data obtained at sick visits. With less biased results, doctors can be more certain about which treatment worked better for certain patients.

The Health Profession Opportunity Grants (HPOG), administered by the Administration for Children and Families, U.S. Department of Health and Human Services, was created to provide education and training to Temporary Assistance for Needy Families (TANF) recipients and other low-income individuals for occupations in the healthcare field that pay well and are expected to either experience labor shortages or be in high demand.

HPOG programs are expected to target skills and competencies demanded by the healthcare industry; support career pathways; result in an employer- or industry-recognized certificate or degree; combine supportive services with education and training services to help participants overcome barriers to employment; and provide services at times and locations that are easily accessible to targeted populations.

In 2010, the first round of HPOG awards was made to 27 organizations located across 20 states to carry out five-year programs in their areas. The first round of HPOG grant awards is referred to as HPOG 1.0. In 2015, a second round of HPOG grant awards was made to 32 organizations located across 21 states for a new five-year period. This second round of grants is referred to as HPOG 2.0.

HPOG is authorized as a demonstration program with a mandated federal evaluation. The Office of Planning, Research, and Evaluation (OPRE) is utilizing a multi-pronged evaluation strategy to document the operations and assess the success of the HPOG program. The evaluation strategy aims to provide information on program implementation, systems change, outcomes, and impacts.

This collection is organized into 22 data parts, including:

• 3 HPOG National Implementation Evaluation datasets of employers (DS1), grantees (DS2), and management and staff (DS3) surveys
• a HPOG 15-month follow-up survey dataset (DS4)
• an analysis file with HPOG participant covariates and outcomes (DS5)
• 6 Performance Reporting System (PRS) datasets
• 3 datasets from the Pathways for Advancing Careers and Education Evaluation (PACE) containing a subset of respondents who participated in both HPOG and PACE studies
• 5 datasets from the 3 year follow up impact reports (DS15 to DS20)
• 2 datasets from the 6 year follow up impact reports (DS21 and DS22)

The PRS is the federal management information system for HPOG grantees that was designed to support participant record and case management, program performance measurement, and program evaluation research.

• The Participant dataset (DS6) is at the person-level and contains background information on participants at the time of intake into the HPOG program.

• The Participant Supplemental dataset (DS7) is at the person-level and contains supplemental information for participants who participated in the HPOG impact evaluation.

• The Education dataset (DS8) contains the date and type of remedial pre-training activities of participants during the HPOG program. This dataset is at the training-level, with one row for each educational activity.

• The Employment dataset (DS9) contains the date and type of employment development activities of participants during the HPOG program, as well as job characteristics of participants who find employment. This dataset is at the employment activity level, with one row for each employment activity.

• The Services dataset (DS10) is at the person-level and contains the date and type of supportive services received by participants from the HPOG program.

• The Training dataset (DS11) contains the date and type of vocational training received by participants from the HPOG program. This dataset is at the training level, with one row for each occupational training activity.

The PACE study was designed to produce rigorous evidence for policymakers, practitioners, and researchers about the effectiveness of nine career pathways approaches that sought to increase credentials, employment, and self-sufficiency among low-income, low-skilled Americans. The 3 HPOG subset datasets from this study include the Basic Information Form Data File (DS12), the First Follow-Up Data File (DS13), and the Self-Administered Questionnaire Data File (DS14). For more information about the PACE study, please see its ICPSR study page (ICPSR #37289).

The follow-up impact report contains a 3 Year Updated Analysis Data File (DS15). Augmented Credentials Data File (DS16) contains data about previous academic and trade school accreditations. Augmented Job Spells Data File (DS17) pertains to the participant's duration of the training and income-based questions. Augmented School Spells Data File (DS18) contains data about the duration of education. Job Conditions Data File (DS19) pertains to job conditions and coworker support. Person Level Data File (DS20) contains person-level data on job benefits and conditions, training, income, self-perception, support networks, and childcare. The 6 year follow-up impact report contains a 6 year Updated Analysis Data File (DS21) and a 6 Year Survey Data File (D22).

Various demographic information, such as age, sex, race, and ethnicity, is also included in the data.

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

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

Tsogolo la Thanzi (TLT) is a longitudinal study in Balaka, Malawi designed to examine how young people navigate reproduction in an AIDS epidemic. Tsogolo la Thanzi means "Healthy Futures" in Chichewa, Malawi's most widely spoken language. Data are being collected to develop better understandings of the reproductive goals and behavior of young adults in Malawi - the first cohort to never have experienced life without AIDS. To understand these patterns of family formation in a rapidly changing setting, TLT used the following approach: an intensive longitudinal design where respondents are interviewed every four months at TLT's centralized research center. Data collection began in May of 2009 and was completed in June of 2012. To assess changes on a longer time-horizon, a follow-up survey referred to as TLT-2 was fielded between June and August of 2015.

The Household Listing Dataset are supplementary data related to the Tsogolo la Thanzi [Healthy Futures] longitudinal data series. The Household Listing includes data from the complete household census used to generate the sample for the TLT study. It includes data from all persons living within seven kilometers of the TLT research center.

With the third highest rates of overdose fatalities in the state and complexities with providing treatment in a rural setting, Franklin County Sheriff's Office (FCSO) in Massachusetts made a strategic decision in 2011 to shift their jail facility away from simply operating as a place to contain people, to becoming a jail that played an important role in the treatment solution to the opioid use epidemic. After more than 10 years of this transformation, FCSO has been able to offer all three federally approved Medications for Opioid Use Disorders (MOUD) (i.e., buprenorphine, methadone, and naltrexone), provide high quality individual and group counseling, and facilitate a continuum of treatment care upon reentry. In 2020, at the height of the COVID-19 pandemic, FCSO capitalized on its previously built infrastructure and system partners to continue to offer its services. FCSO also continued offering individual and group counseling via telehealth throughout the pandemic and shifted to a mix of telehealth and in-person services in 2022.

From 2020 to 2023, the research team partnered with FCSO to study how their jail approached MOUD treatment, particularly via telehealth during the COVID-19 pandemic. The mixed-methods study aimed to understand whether treatment and individual counseling as its critical component could be done remotely, what facilitated or hindered its successful application, and how clients (i.e., incarcerated people) and the professionals supporting them perceived the effects.

The Health Profession Opportunity Grants (HPOG), administered by the Administration for Children and Families, U.S. Department of Health and Human Services, was created to provide education and training to Temporary Assistance for Needy Families (TANF) recipients and other low-income individuals for occupations in the healthcare field that pay well and were expected to either experience labor shortages or be in high demand. Following on a first round of HPOG awards in 2010 ("HPOG 1.0"), a second round of 32 five-year grants across 21 states were funded in 2015 ("HPOG 2.0"). After an additional one-year extension, the HPOG 2.0 grants concluded in 2021.

Local HPOG programs were expected to target skills and competencies demanded by the healthcare industry; support career pathways; result in an employer- or industry-recognized certificate or degree; combine supportive services with education and training services to help participants overcome barriers to employment; and provide services at times and locations that are easily accessible to targeted populations.

HPOG was authorized as a demonstration program with a mandated federal evaluation. The Office of Planning, Research, and Evaluation (OPRE) is utilizing a multi-pronged evaluation strategy to document the operations and assess the success of the HPOG program. The evaluation strategy for HPOG 2.0 includes several key components:

• The impact evaluation randomly assigns eligible participants to either a treatment group that has access to HPOG services or a control group that does not have access to HPOG but can receive other services available in the community ("business as usual") to assess the impacts of the HPOG programs. Data from the short-term impact evaluation are DS1-DS5.
• The participant and program data includes baseline intake and services data, including data captured in the HPOG 2.0 Participant Accomplishment and Grant Evaluation System (PAGES), a participant tracking and program management system that included data on participant characteristics, engagement in activities and services, and training and employment outcomes. PAGES also included the activities and supports that grantees offered. HPOG 2.0 grantee staff entered data in PAGES. Data from baseline and PAGES are DS6-DS11.
• The descriptive evaluation includes implementation, outcomes, and local service delivery systems studies of the grants and will help interpret findings from the impact study. The descriptive study also includes in-depth qualitative interviews with a small sample of HPOG study participants. Data from the in-depth interviews are available in ICPSR 38561.
• The cost benefit analyses will assess the costs and benefits of a standard HPOG program. Data from this component are forthcoming.

For more information, users are encouraged to see the National Evaluation of the 2nd Generation of Health Profession Opportunity Grants (HPOG 2.0 National Evaluation) on the OPRE website.

This initial Phase 1 formative evaluation included the development of a logic model to guide telehealth programming, an evaluability assessment of existing telehealth services, and a pilot test of initial implementation to capture the components needed for future fidelity assessment of these telehealth services as part of a multi-phase evaluation. The telemental health programming was focused on a hybrid approach of service delivery by El Futuro, a community-based organization in Durham, North Carolina. El Futuro's hybrid model of telemental health services combines methods of telehealth and in-person treatment with an array of service components including psychotherapy, psychiatric services, and case management for individuals who were victims of crime (VOCs) seeking mental health services.

Data associated with this project contain information about telehealth sites, client gender, psychiatric diagnoses, session types for the hybrid model, reported traumas for the overall sample used in the evaluability, and feasibility portion of the formative evaluation. The collection also includes outcome information for a subset of participants, such as client reported improvement and satisfaction.

Tsogolo la Thanzi (TLT) is a longitudinal study in Balaka, Malawi designed to examine how young people navigate reproduction in an AIDS epidemic. Tsogolo la Thanzi means "Healthy Futures" in Chichewa, Malawi's most widely spoken language. Data are being collected to develop better understandings of the reproductive goals and behavior of young adults in Malawi -- the first cohort to never have experienced life without AIDS. To understand these patterns of family formation in a rapidly changing setting, TLT used the following approach: an intensive longitudinal design where respondents were interviewed every four months at TLT's centralized research center. Data collection began in May of 2009 and was completed in June of 2012. To assess changes on a longer time-horizon, a follow-up survey referred to as Tsogolo la Thanzi 2 (TLT-2) was fielded between June and August of 2015.

This dataset is a supplementary survey module that was administered to women TLT participants during waves 2 to 8 who reported having a new birth since their last interview, and to those in the refresher sample (wave 9) who reported a recent birth in the past 4 months. The survey focused on several aspects of the childbirth experience and the mother's and child's postpartum health.

This study comprises the second round of the physician survey component of the Community Tracking Study (CTS) sponsored by the Robert Wood Johnson Foundation. The CTS is a national study designed to track changes in the American health care system and the effects of the changes on care delivery and on 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. As in the first round of the physician survey (COMMUNITY TRACKING STUDY PHYSICIAN SURVEY, 1996-1997: [UNITED STATES] (ICPSR 2597)), the second round was administered to physicians in the 60 CTS sites and to a supplemental national sample of physicians. The survey instrument collected information on physician supply and specialty distribution, practice arrangements and physician ownership of practices, physician time allocation, sources of practice revenue, level and determinants of physician compensation, provision of charity care, career satisfaction, physicians' perceptions of their ability to deliver care, views on care management strategies, and various other aspects of physicians' practice of medicine. In addition, primary care physicians (PCPs) were asked to recommend courses of action in response to some vignettes of clinical presentations for which there was no prescribed method of treatment.

Dataset 3, the Site and County Crosswalk Data File, identifies the counties that constitute each CTS site.

Dataset 4, the Physician Survey Summary File, contains site-level estimates and standard errors of the estimates for selected physician characteristics, e.g., the percentage of physicians who were foreign medical school graduates, the mean age of physicians, and the mean percentage of patient care practice revenue from Medicaid.

This qualitative study was conducted in two United States health care systems. The research team conducted semi-structured interviews with medical assistants, physicians, and interpreters with experience collecting family history for Spanish-speaking patients and examined barriers and facilitators to family history collection.

The Forces of Change Survey is an annual survey completed by the state and territorial health agencies that comprise the membership of the Association of State and Territorial Health Officials (ASTHO). ASTHO is the national nonprofit organization representing public health agencies in the United States, the U.S. territories and freely associated states, and the District of Columbia, and the over 100,000 public health professionals these agencies employ. The Forces of Change Survey primarily focuses on emergent and rapidly changing trends. The data collected sought to determine the current climate at state and territorial health agencies as it related to budget, workforce, accreditation, and special interest topics. The 2017 Forces of Change Survey examined the following topics:

• Health agency resources
• Activities related to the Zika virus
• Opioid epidemic response
• Communicating the value of public health
• Efforts to advance health equity

The web-based survey, fielded by ASTHO in May of 2017, was administered to state and territorial health agencies through their senior deputies. A total of 52 health agencies responded (from 46 states, Washington, D.C., and five territories and freely associated states). Data included as part of this collection includes one dataset with 122 variables for 52 cases.

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

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

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

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

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

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

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

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

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

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

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

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

The Survey of Long-Term Care Awareness and Planning was designed to measure the attitudes of Americans ages 40-70 towards long-term care (LTC), retirement planning, and insurance policy preferences. Few people have private LTC insurance, and Medicare does not cover LTC. Many older adults pay for LTC out of their income and personal savings until they are poor enough to qualify for Medicaid. Others, to avoid exhausting their financial resources and relying on Medicaid, depend on unpaid family support or go without needed services. The Survey of Long-Term Care Awareness and Planning collected data on LTC in order to help inform federal policy in this area.

The survey collected respondents' current health information, willingness to take risks, plans for disability care, retirement preparation, and insurance coverage. Part of the survey was a discrete choice experiment (DCE) or conjoint analysis designed to elicit respondent preferences on specific features of LTC insurance. This section included choices on daily benefit, benefit period, deductible period, health requirements, type of insurer, monthly premium, and voluntary or universal. Respondents were also asked about the types of investments they had, where they received health information, opinions on the US healthcare system, whether they had been diagnosed with specific health conditions, willingness to make lifestyle changes due to a disability, concerns about long-term disability care, and opinions on who should be responsible for the costs of LTC. Demographic information collected includes age, education, household size, race, gender, income, marital status, and region.

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

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

Overview: The goal of the project was to develop a unique database linking chronic disease clinical data from an electronic medical record (EMR) of a large academic healthcare system to multi-payer claims data. The longitudinal relational database can be used to study clinical effectiveness of many diagnostic and treatment interventions. The population of patients used consisted of those patients who were attributed to the University of Michigan Health System (UMHS) as continuing care patients, who are also in adjudicated and validated chronic disease registries.

Data Access: These data are not available from ICPSR. The data are restricted to use by the principal investigator and cannot be shared.

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.