Search results

Substance dependence (SD) is a chronic disease that requires specialty drug and alcohol treatment, primary care (PC), and management of related problems. Although patients with SD may be linked with specialty care and PC, their health care often remains episodic and fragmented, rather than longitudinal, comprehensive, integrated, and coordinated. As a result, adults with SD often enter addiction treatment later and require acute medical care, rather than entering the system earlier when interventions of lower intensity but longer duration might prevent catastrophes. Chronic disease management (CDM) is a collaborative, longitudinal approach to treatment of certain chronic medical illnesses proven to be more effective than routine care. CDM addresses individual patient and health systems barriers to receipt of needed treatment. However, the effectiveness of CDM for SD has not been tested. The objective of this Addiction Health Evaluation and Disease management (AHEAD) study, was to test the effectiveness of CDM for SD in PC.

Subject identification and recruitment occurred primarily at a local detoxification center, as well as by self and physician referral from the Boston Medical Center primary and ambulatory care clinics, emergency department, urgent care center, inpatient settings, and the community. The study enrolled 320 adults with drug dependence and 320 adults with alcohol dependence who were not in SD treatment, and randomized them to a SD CDM program (the AHEAD Clinic) integrated into a real-world PC clinic or to referral to standard PC. All subjects were assessed regarding SD diagnosis, substance use and problems, readiness to change, health-related quality of life, and medical and drug treatment utilization. Subjects were evaluated 3, 6, and 12 months later, and health services utilization data were collected for 2 years from a statewide database. Additionally, in order to better understand and explain the implementation and fidelity of the AHEAD Clinic, the primary care providers (PCPs) of AHEAD Clinic patients were surveyed. Each PCP was presented with a letter from the Principal Investigator explaining the purpose of the survey, the reason why s/he was being asked to complete the survey, compensation for completing the survey, and details about confidentiality and anonymity. The survey itself consisted of questions asking providers about their satisfaction and their attitudes towards caring for patients with alcohol and drug problems, their knowledge of services that the AHEAD Clinic provides, and their experience working with the AHEAD Clinic.

Primary outcomes were illicit drug use, alcohol use, substance-related problems, emergency department visits, and hospitalizations. The proposal's hypothesis was that compared with standard care, a health services delivery intervention (CDM for SD integrated in PC) would decrease alcohol and illicit drug use and related problems, and improve health care utilization patterns. Improved outcomes using the AHEAD approach would support the adoption of a health services delivery strategy, CDM, to better care for patients with SD.

• Dataset 1: 844 variables; 563 cases
• Dataset 2: 607 variables; 500 cases
• Dataset 3: 607 variables; 487 cases
• Dataset 4: 713 variables; 532 cases
• Dataset 5: 80 variables; 549 cases
• Dataset 6: 59 variables; 1,435 cases
• Dataset 7: 25 variables; 87 cases
• Dataset 8: 25 variables; 87 cases
• Dataset 9: 41 variables; 73 cases
• Dataset 10: 9 variables; 11,018 cases
• Dataset 11: 5 variables; 511 cases

Adoption of Innovations in Private Alcohol and Drug Treatment Centers is a multi-wave longitudinal study conducted between 2009 and 2013. The study goal was to measure the adoption and implementation of evidence-based treatment practices in treatment centers that received more than 50 percent of their total operational funding from sources that were not guaranteed from year to year. This definition is based on the concept of entrepreneurship, namely the necessity for the treatment organization to respond to changing conditions in the external political and economic environment in order to obtain half or more of its funding. The innovations considered are of three types usually specific to organizations treating substance use disorders:

• medication-assisted treatments
• psychosocial treatments
• managerial practices

This data set consists of one of the multiple "waves" of data collection. The data was collected at four points in time. The baseline data, collected from June 2009 through October 2011 from 327 treatment centers, were obtained through face-to-face onsite interviews ranging from 1 to 4 hours in duration. These interviews were conducted with administrators of the respective treatment centers. In 70 of the 327 treatment centers, an administrator of the overall center and the administrator of clinical operations separately completed administrative and clinical interviews. In the remaining 257 centers, all of the administrative and clinical data were collected from the administrator of the overall center since there was no specialized administrator of clinical operations. The baseline data available here merge the data collected through these two different procedures so that the variables measured are identical for all centers regardless of the procedure.

The collected data include detailed information on Medication Assisted Treatment (MAT) and other treatment strategies used by the center to treat opioid use disorder (OUD) and alcohol use disorder (AUD). In cases where medications were not used by a center questions were asked for reasons why available medications were not used in treatment. Other sections of the interviews covered data on the organizations, their management, and other clinical practices implemented for OUD, AUD, and substance use disorder (SUD).

Three follow-up interviews were conducted via telephone at six month intervals following the previous interview. These follow-up interviews were much shorter compared to the baseline interview. The interviews centered on key changes in the center's operation and on the adoption of key innovations. But a focus of the follow-up interviews still focused on medications provided for treatment.

The Annual Health Survey (AHS), conducted by the Government of India between July 2010 and May 2013, investigates maternal and child health in nine states: Assam, Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Orissa, Rajasthan, Uttarakhand, and Uttar Pradesh. These states constitute about 70 percent of neonatal deaths in India and about one-in-five neonatal deaths globally. The AHS consists of a three-round panel that interviewed over 4 million households in each round, as well as a one-time Clinical, Anthropometric, and Bio-Chemical Survey (CAB). The data were originally released to the public in 2015 as a set of 45 .csv files. The .csv files are included in a restricted-use zipped package as part of the ICPSR release (see dataset 21).

The survey focused on topics such as household composition, caste, fertility, family planning, pre- and post-natal care, breastfeeding, infant mortality, illness, disease, disability, and health care practices. Demographic information includes sex, age, education, occupation, marital status, household size, and religion. The CAB files contain biometric data including but not limited to height, weight, blood pressure, hemoglobin, pulse, and blood glucose.

Potential data users should note that the public-use and restricted-use versions of the datasets are the same except for the masking of day component variables for certain dates in the public-use versions of the files (please see the Description of Variables section for full details). Therefore, only researchers with a limited set of research questions that require full birth, marriage, and death dates will need to apply for the restricted-use versions of the data files.

Additionally, because the final data files are very large and potentially very time consuming to analyze on personal computers, researchers have the option to download ten-percent samples of each file (see datasets 3, 4, 7, 8, 11, 12, 15, 16, 19, and 20). These samples contain the same variables as the original files but only ten percent of the records. The samples were determined by taking a randomly selected ten percent of households in each district. P.I. codebooks were not produced for these samples. Please note that the ten-percent samples for each dataset were selected independently, so it is not advised to merge across datasets within the AHS using these samples, as the match rates will be very low.

Asthma is one of the nation's most common and costly chronic conditions, affecting over 38 million Americans at some time in their lives. Managing asthma requires a long term, multifaceted approach, including patient education, behavior changes, asthma trigger avoidance, pharmacological therapy, and frequent medical follow-up. This study provides asthma data available at the state and local level to direct and evaluate interventions undertaken by asthma control programs located in the state health departments. Improved tracking for asthma is critical for planning and evaluating efforts to reduce the health burden from the disease.

The Behavioral Risk Factor Surveillance System (BRFSS) is a state-based system of health surveys that collects information on health risk behaviors, preventive health practices, and health care access primarily related to chronic disease and injury. For many states, the BRFSS is the only available source of timely, accurate data on health-related behaviors. BRFSS was established in 1984 by the Centers for Disease Control and Prevention (CDC); currently data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the United States Virgin Islands, and Guam. More than 350,000 adults are interviewed each year, making the BRFSS the largest telephone health survey in the world. States use BRFSS data to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. The BRFSS is a cross-sectional telephone survey conducted by state health departments with technical and methodological assistance provided by CDC. States conduct monthly telephone surveillance using a standardized questionnaire to determine the distribution of risk behaviors and health practices among adults. Responses are forwarded to CDC, where the monthly data are aggregated for each state, returned with standard tabulations, and published at the year's end by each state. The BRFSS questionnaire was developed jointly by CDC's Behavioral Surveillance Branch (BSB) and the states. Data derived from the questionnaire provide health departments, public health officials, and policymakers with necessary behavioral information. When combined with mortality and morbidity statistics, these data enable public health officials to establish policies and priorities and to initiate and assess health promotion strategies. Demographic variables include race, age, sex, education level, marital status, employment status, and income level.

CCPC's long term vision is to use pragmatic comparative effectiveness methods, linked to an extensive primary care practice data repository, to establish evidence about best practices for complex real world patients and deliver appropriate, real-time decision support at point of service for primary care practitioners (PCPs) in a way that will account for individualized management of conditions and choice of treatments in order to provide optimal care.

The primary aim of BICEP was to advance analytical methods of observational Comparative Effectiveness Research (CER) to support evidentiary needs of primary care practitioners in answering important questions related to care of patient populations with Multiple Complex Conditions (MCCs).

The secondary aim of BICEP was to conduct a pilot study to demonstrate the feasibility and value of using the analytic methods for conducting CER among complex patients.

BICEP sought to answer the following clinical research questions: In adults with Type 2 Diabetes Mellitus (T2DM) coupled with additional chronic diseases,

1. What is the comparative effectiveness of T2DM medications in achieving glycemic control?
2. What is the comparative effectiveness of T2DM medications on intermediate outcomes, adverse events, side effects, tolerability?
3. Does the effectiveness and safety of the diabetic treatment options differ across subgroups of patients based on patient demographic characteristics, complex co-morbidities, or the use of other concurrent therapies?

The purpose of this project was to measure and estimate the distribution of income in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components: payments in kind valued at market prices, agricultural output produced for self-consumption valued at market prices, the value of ration coupons and other direct subsidies, and the imputed value of housing. The rural component of this collection consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual rural respondents reported on their employment status, level of education, Communist Party membership, type of employer (e.g., public, private, or foreign), type of economic sector in which employed, occupation, whether they held a second job, retirement status, monthly pension, monthly wage, and other sources of income. Demographic variables include relationship to householder, gender, age, and student status. Rural households reported extensively on the character of the household and residence. Information was elicited on type of terrain surrounding the house, geographic position, type of house, and availability of electricity. Also reported were sources of household income (e.g., farming, industry, government, rents, and interest), taxes paid, value of farm, total amount and type of cultivated land, financial assets and debts, quantity and value of various crops (e.g., grains, cotton, flax, sugar, tobacco, fruits and vegetables, tea, seeds, nuts, lumber, livestock and poultry, eggs, fish and shrimp, wool, honey, and silkworm cocoons), amount of grain purchased or provided by a collective, use of chemical fertilizers, gasoline, and oil, quantity and value of agricultural machinery, and all household expenditures (e.g., food, fuel, medicine, education, transportation, and electricity). The urban component of this collection also consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual urban respondents reported on their economic status within the household, Communist Party membership, sex, age, nature of employment, and relationship to the household head. Information was collected on all types and sources of income from each member of the household whether working, nonworking, or retired, all revenue received by owners of private or individual enterprises, and all in-kind payments (e.g., food and durable and non-durable goods). Urban households reported total income (including salaries, interest on savings and bonds, dividends, rent, leases, alimony, gifts, and boarding fees), all types and values of food rations received, and total debt. Information was also gathered on household accommodations and living conditions, including number of rooms, total living area in square meters, availability and cost of running water, sanitary facilities, heating and air-conditioning equipment, kitchen availability, location of residence, ownership of home, and availability of electricity and telephone. Households reported on all of their expenditures including amounts spent on food items such as wheat, rice, edible oils, pork, beef and mutton, poultry, fish and seafood, sugar, and vegetables by means of both coupons in state-owned stores and at free market prices. Information was also collected on rents paid by the households, fuel available, type of transportation used, and availability and use of medical and child care.

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

Antibiotics are considered a feasible treatment for appendicitis, yet appendectomy remains the treatment standard in the United States. Previous randomized trials comparing these treatments excluded important subgroups and recruited small sample sizes but questions remain about the applicability of these previous findings. This study conducted the Comparison of Outcomes of antibiotic Drugs and Appendectomy (CODA) randomized clinical trial to compare antibiotics with appendectomy among adults with appendicitis, including those with appendicolith. Those recruited comprised a diverse population, compared an overall measure of health status as the primary outcome, and included several secondary clinical and patient-reported outcomes, complications, and measures of healthcare utilization.

In the context of COVID-19, RAND and the Robert Wood Johnson Foundation have partnered to build from the National Survey of Health Attitudes to implement a longitudinal survey to understand how health views and values have been affected by the experience of the pandemic, with particular focus on populations deemed vulnerable or underserved, including people of color and those from low-to moderate-income backgrounds.

Questions in this COVID-19 survey focused specifically on experiences related to the pandemic (e.g., financial, physical, emotional), how respondents viewed the disproportionate impacts of the pandemic, whether and how respondents' views and priorities regarding health actions and investments are changing (including the roles of government and the private sector), and how general values about such issues as freedom and racism may be related to pandemic views and response expectations.

This study includes the results for Wave 1 for the general population.

Demographic information includes sex, marital status, household size, race and ethnicity, family income, employment status, age, and census region.

In the context of COVID-19, RAND and the Robert Wood Johnson Foundation have partnered to build from the National Survey of Health Attitudes to implement a longitudinal survey to understand how health views and values have been affected by the experience of the pandemic, with particular focus on populations deemed vulnerable or underserved, including people of color and those from low-to moderate-income backgrounds.

In the context of COVID-19, RAND and the Robert Wood Johnson Foundation partnered again to build from the National Survey of Health Attitudes to implement a longitudinal survey to understand how health views and values have been affected by the experience of the pandemic, with particular focus on populations deemed vulnerable or underserved, including people of color and those from low- to moderate-income backgrounds.

The study is a longitudinal study, collecting data in four waves. The study also included 2 populations: A sample of populations at greater risk, and a general population sample. This study includes the results for Wave 2 for populations at greater risk.

One previous wave and two future waves were conducted. The questions in the surveys were largely similar across all four waves. All respondents who participated in Wave 1 were invited to participate in the future waves.

Demographic info includes sex, marital status, household size, race and ethnicity, family income, employment status, age, and census region.

The 1993 Detroit Area Study explored a variety of issues related to health, the effects of aging, living conditions, and participation in civic life in the Michigan tri-county area of Wayne, Oakland, and Macomb counties. A battery of questions probed respondents' perceptions of their health and mental state and those of their spouse, their ability to perform certain physical and mental activities, and the effect of their emotional state on their appetite and sleeping patterns. Other explored their feelings about neighborhood safety, means of transportation, relationships, accommodation, the portrayal of older people on television programs, and the treatment of older people by employers. The survey also sought respondents' opinions about government, their personal financial situation and problems, money management, savings and investments, and their life as a whole. Additional items questioned respondents about the frequency of their visits to the doctor, overnight hospitalization, chronic health conditions, smoking and drinking habits, and medical coverage, as well as electoral participation, political party preference, ideological leanings, class self-identification, assistance received from community organizations, family, and friends, personal regrets, and time spent watching television and engaging in pleasurable activities. Other questions gauged respondents' memory, vision, and motor skills. Respondents also provided demographic information on sex, age, marital status, race, ethnicity, religion, and education.

This survey explored the ways in which social influences, such as stress and racism, affected health, and the impact these influences had on the respondents' outlook on life. Respondents were questioned about their health status and their exercise, smoking, sleeping, and dieting habits, as well as about diagnosed health problems and depression and their effects on daily activities. Respondents were also asked a series of questions regarding their employment status, type of job and whether it was a supervisory position, the racial makeup of their workgroup, their perceptions of their position and job, the likelihood of their finding another job, hassles experienced while at work, and whether they had any trouble balancing family and work. Another series of questions asked respondents whether they had been a victim of a serious physical attack or assault, robbery, or home burglary, if they had ever been unfairly searched, stopped, or questioned by police, why they felt they had been treated this way, and if they felt they had ever been treated unfairly by a teacher, landlord, or neighbor. Opinions were also solicited on the respondents' experience with depression and anxiety. Respondents were asked whether they felt it was possible to reach their goals, how satisfied they were with their present situation, how often they felt depressed and how long this feeling lasted, whether they lost weight or sleep due to this feeling, how this feeling of depression made them view themselves, how often and how long they were worried about things that were not likely to happen, how often they worried about non-serious things, and how they felt physically when they were anxious or depressed. Another set of questions queried respondents on alcohol and drug use. Respondents were asked how often they drank alcohol, the most they had to drink at one time, whether they had experienced any addiction to alcohol or experienced any emotional or psychological problems associated with drinking, whether they had any problem controlling their drinking, whether they had used drugs outside of a doctor's order, what types of drugs they had used, how often and in what type of situations they had used these drugs, and whether they had any addiction to the drugs. Respondents were also asked whether they had a regular doctor, whether they went to a doctor's office or clinic to seek medical attention, the last time they had gone for a checkup, how they were treated by staff at the visit, whether they trusted their doctor, the reasons why they did or did not receive medical attention, and whether they had health insurance. Respondents were also asked for their perceptions of differences between Blacks and whites, attitudes toward affirmative action with regard to employment, and their attitude toward interracial relationships. Another battery of questions queried respondents on any fears or phobias they had, such as a fear of animals, water, or visiting a doctor or dentist. Questions focused on the severity of these fears, how long they had had these fears, and how much these fears interfered in daily activities. A final set of questions gathered demographic information on respondents such as highest level of education completed, political affiliation, religious affiliation, level of religious participation, importance of religion, birth date, whether they owned their own home or rented, how much they spent on food each week, total family income for the year 1994, and the height and weight of respondents.

Patient-reported outcome measures, or PROMs, ask patients how they feel and what activities they can do in daily life. Patients receiving cancer treatment, such as chemotherapy, often have side effects. PROMs can help cancer centers know if patients are getting high-quality care that helps manage their side effects.

In this study, the research team wanted to

• Learn from patients and clinicians, like doctors and nurses, what side effects are important to track during chemotherapy
• Create PROMs that can measure important side effects of chemotherapy

The research team also wanted to test the PROMs to see

• If patients find them easy to complete
• If the PROMs can detect differences in how well cancer centers control patients' treatment side effects

According to the World Health Organization, palliative care is "an approach that improves the quality of life of patients and their families facing the problems associated with life-threatening illness, through the prevention and relief of suffering by means of early identification and impeccable assessment and treatment of pain and other problems, physical, psycho-social and spiritual." The goal of the study was to generate comparative effectiveness research evidence to support the delivery of coordinated, community-based palliative care that effectively implements care plans consistent with the goals and preferences of older adults with advanced illness and their caregivers.

This study included a pragmatic, two-arm, multi-site randomized controlled trial of older adults (50+ years) with either poor prognosis cancer or end-stage organ failure who were recruited during an emergency department (ED) visit, along with their informal caregivers, to compare nurse-led telephonic case management to facilitated, outpatient specialty palliative care on: 1) quality of life in patients, 2) loneliness, 3) healthcare use in the 12 months following enrollment, 4) symptom burden, 5) caregiver strain, 6) caregiver quality of life, and 7) bereavement.

Purpose: Develop an easy-to-use data product to facilitate comparative effectiveness research involving complex patients.

Scope: Claims data can be difficult to use, requiring experience to most appropriately aggregate to the patient level and to create meaningful variables such as treatments, covariates, and endpoints. Easy to use data products will accelerate meaningful comparative effectiveness research (CER).

Methods: This project used data from the Medicare Chronic Condition Data Warehouse for patients hospitalized with acute myocardial infarction (AMI) or stroke in 2007 with two-year follow-up and one-year pre-admission baseline. The project joined over 100 raw data files per condition to create research-ready person- and service-level analytic files, code templates, and macros while at the same time adding uniformity in measures of comorbid conditions and other covariates. The data product was tested in a project on statin effectiveness in older patients with multiple comorbidities.

Results: A programmer/analyst with no administrative claims data experience was able to use the data product to create an analytic dataset with minimal support aside from the documentation provided. Analytic dataset creation used the conditions, procedures, and timeline macros provided. The data structure created for AMI adapted successfully for stroke. Complexity increased and statin treatment decreased with age. The two-year survival benefit of statins post-AMI increased with age.

Conclusion: Claims data can be made more user-friendly for CER research on complex conditions. The data product should be expanded by refreshing the cohort and increasing follow-up. Action is warranted to increase the rate of statin use among the oldest patients.

Data Access: These data are not available from ICPSR. The data cannot be made publicly available. Data are stored on University of Iowa College of Public Health secure 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 Research Data Assistance Center (ResDac). Please note that as of May 2013, the DUA covering this work is set to expire February 1, 2014. Thereafter, per the terms of the DUA, datasets created for this project may not be available.

User guides are available from ICPSR for detailed descriptions of the data products, including a user guide for Acute Myocardial Infarction (AMI) Analytic Files and a user guide for Stroke and Transient Ischemic Attack (TIA) Analytic Files. Data dictionaries are available upon request. Please contact Nick Rudzianski ([email protected] or 319-335-9783) for more information.

Overview

Through electronic data collection and improving the efficiency of existing data processes to allow both more complete and specific identification of chronic illness, the study objectives included:

1. Greatly enhance the scope of existing algorithms to permit comprehensive identification of the 20 chronic conditions key to primary care.
2. Improve the specificity of the existing algorithms to permit more precise automated identification of chronic conditions, limiting the amount of human review required.
3. Revise the algorithms to permit identification of more than one condition in a text string.

The investigators developed advanced SAS text string search algorithms and developed a modified parsing table that included inclusion and exclusion patterns and resultant diagnoses. The automation searches through each input text string for the inclusion pattern that is not equivalent to the exclusion pattern and maps the string to the corresponding resultant diagnosis. This technique allows the search functions to be easily modified to include additional search criteria and scaled to encompass additional conditions.

Data Dictionary

A data dictionary for 24 chronic conditions was developed. The dictionary assigns ICD-9 diagnosis codes to problem list text in electronic health record data. The dictionary contains 78,458 records and exists in two forms, a Microsoft Access database and a SAS 9.2 dataset. The Microsoft Access database contains 24 tables, one for each condition. The SAS 9.2 dataset contains four fields. The 24 chronic conditions for which problem list text data were examined and assigned to ICD-9 codes. Conditions include Alcohol Use Disorder, Asthma and Allergic Rhinitis, Atherosclerosis, Atrial Fibrillation, Cerebrovascular Disease, Chronic Liver Disease, COPD, Chronic Renal Disease, Coronary Disease, Dementia, Depression, Diabetes Mellitus, Epilepsy, GERD, Heart Failure, Hyperlipidemia, Hypertension, Migraine Headache, Obesity, Osteoarthritis, Osteopenia/Osteoporosis, Parkinson's Disease, Peptic Ulcer Disease and Rheumatoid Arthritis.

Data Access

The data dictionary is not available from ICPSR. For use arrangements, please contact Ruth G. Jenkins, PhD ([email protected]) or Steven M. Ornstein, MD ([email protected]) at the Practice Partner Research Network (PPRNet), Medical University of South Carolina.

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys covers the special topic of public health and includes the following major areas of focus: (1) check-up and prevention, (2) oral health, (3) alcohol habits, (4) smoking habits, (5) organ and blood donation, and (6) sport and physical activity. Questions pertain to medical tests and health exams received in the past 12 months, eating a healthy diet, exercise, visits and access to a dentist, and food and drink consumption. Other questions addressed alcohol consumption within the past 12 months, smoking status and behavior, as well as the knowledge of human organ donation and transplant, and safety of blood transfusions compared to 10 years ago.

Demographic and other background information collected includes age, gender, nationality, marital status, occupation, age when stopped full-time education, household composition, ownership of a fixed or a mobile telephone and other durable goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys includes the standard modules and covers the following special topics: (1) Social Climate, and (2) Science, Research and Innovation. Respondent's opinions were collected on life satisfaction, area of living, healthcare, pension system, unemployment benefits, cost of benefits, the way the country is run, cost of living and affordability of energy and housing, in present time, in next twelve months and compared to five years ago. Thoughts about why people live in poverty were collected, general trustworthiness of people, views on how to help solve social and economic problems and views about education. As it relates to Science Research and Innovation respondents were asked how people's actions will affect the following 15 years from now: fight against climate change, Protections of the environment, energy supply, health and medical care, job creation, availability and quality of food, as well as transport and transport infrastructure. Opinions were collected on priorities for science and technological innovation. Respondents were asked about their academic past in studying science and technology.

Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, occupation, age when stopped full-time education, household composition, ownership of durable goods, difficulties in paying bills, self-assessed level in society, self-assessed social class, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys includes the standard modules and covers the following special topics: (1) Climate Change, (2) Biodiversity, (3) and Discrimination of Minority Groups. Respondent's opinions were collected on which world issues they believed were the most serious problems, how serious the issue of climate change was and if the EU should be responsible for addressing it, and what actions the have personally taken to fight climate change. Additional questions were asked regarding biodiversity and the dangers presented problems such as the decline of natural habitats and animal and plant species, and how these issues should be addressed by various groups. Respondents were also queried about their knowledge of Natura 2000 and other nature protection networks. Lastly, respondents were questioned regarding their experiences of and attitudes toward discrimination.

Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, occupation, age when stopped full-time education, left-right political self-placement, household composition, ownership of durable goods, difficulties in paying bills, self-assessed social class, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries). Pre-archive/1st release version.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The main goal of the study was to empirically measure the effectiveness of Telepsychiatry for mentally ill parolees.Parolees enrolled in the study were assigned to either face-to-face sessions with their psychiatrists for the duration of their treatment or telepsychiatry sessions with their psychiatrist, in which the parolees interacted with their assigned psychiatrist via a web-based screen interface. Administrative records data on recidivism was collected for everyone who consented to be randomized in this study.