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This poll, conducted September 7-12, 2006, is part of a continuing series of monthly polls that solicit public opinion on various political and social issues. Respondents were asked which issues would be most important in their vote for Congress later that year, which party they trusted more to handle health care issues, how satisfactory the quality and total cost of health care was, and whether or not the number of Americans without insurance was a critical problem. Information was collected on the status of the respondents' own health insurance, including whether they were insured or not, what type of insurance they had, and how long they had been uninsured. Views were sought on whether health care premiums had been rising, why they were rising, how it had affected their household, and how job loss would affect the status and cost of health insurance. A series of questions asked whether new treatments should always be covered, whether efforts should go toward reducing health care costs or reducing the number of Americans without insurance, and whether there should be a universal health insurance program. The respondents rated the effectiveness of the current health insurance system, and they were asked under what conditions a universal health insurance program would be supported. They were also asked their opinions on whether or not employers should be obligated to provide coverage, and whether tax breaks should be offered to companies. Additional topics addressed terminally ill patients and the expense of keeping them alive. Demographic variables include sex, age, race, education level, household income, political party affiliation, political philosophy, employment status, and marital status.

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 Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economy, civil society, and related issues. The data are collected from nationally representative samples in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, national identity, and social capital. In addition, Round 5 surveys included special modules on taxation; gender issues; crime, conflict and insecurity; globalization; and social service delivery. The surveys also collect a large set of socio-demographic indicators such as age, gender, education level, poverty level, language and ethnicity, and religious affiliation, as well as political party affiliation. Afrobarometer Round 5 surveys were implemented in 35 countries. This particular data collection was concerned with the attitudes and opinions of the citizens of Ghana, and also includes a number of "country-specific questions," many of which are oil-related, designed specifically for the Ghana survey.

The Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economic, civil society, and related issues. The data are collected from nationally representative samples in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, national identify, and social capital. In addition, Round 5 surveys included special modules on taxation; gender issues; crime, conflict and insecurity; globalization; and social service delivery. The surveys also collect a large set of socio-demographic indicators such as age, gender, education level, poverty level, language and ethnicity, and religious affiliation, as well as political party affiliation. Afrobarometer Round 5 surveys were implemented in 35 countries. This particular data collection was concerned with the attitudes and opinions of the citizens of Lesotho, and also includes a number of "country-specific questions" designed specifically for the Lesotho survey.

The Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economy, civil society, and related issues. This particular data collection was concerned with the attitudes and opinions of the citizens of Liberia, and includes a number of questions related to campaigns, conflict, resolution, and other "country-specific topics" designed specifically for the Liberia survey. The data are collected from nationally representative samples in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, national identity, and social capital. In addition, Round 5 surveys included special modules on taxation; gender issues; crime, conflict and insecurity; globalization; and social service delivery. The surveys also collect a large set of socio-demographic indicators such as age, gender, education level, poverty level, language and ethnicity, and religious affiliation, as well as political party affiliation. Afrobarometer Round 5 surveys were implemented in 35 countries.

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.

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, What is the comparative effectiveness of T2DM medications in achieving glycemic control? What is the comparative effectiveness of T2DM medications on intermediate outcomes, adverse events, side effects, tolerability? 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 o,n 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.

A survey was administered to any patient that presented for services at a health center between 2001 and 2002. Patients were asked to complete a brief survey with questions relating to demographic, relationship status, reason for choosing this health center, mental health status, and abuse history.

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.

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

This survey was conducted by RAND between November 1999 and January 2000. The purpose of this data collection was to obtain a detailed view of the present attitudes and opinions of consumers regarding health care and to inform the development of the quality improvement program being developed by the California HealthCare Foundation (CHCF). The mission of the CHCF is to expand access to affordable, quality health care for under-served individuals and communities, and to promote fundamental improvements in the health status of the people of California. This survey sampled over 4,000 Californians, and allowed a close-up view of difficult to reach and traditionally under-served populations: the elderly, the chronically ill, the uninsured, low-income populations, and Hispanics. The general scope of the information gathered included consumer beliefs about adequacy of health care information they received, preferences for additional types and sources of information, evaluation of the quality of existing information sources, and how they used information about health. Respondents were asked a series of detailed questions about whether they were concerned about health care, whether they were experiencing difficulty in choosing health plans or physicians or deciding upon treatment options, whether there were good, available sources of information about health care, and whom they trusted to give them advice about health care. Background information on respondents includes health status, utilization of care, language, age, sex, race, marital status and household enumeration, country of origin, education, employment, and income.

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. This is the first of a four-wave survey intended for individuals and organizations interested in learning more about public attitudes about a Culture of Health and how COVID-19 specifically may influence views about health, health investments, and how different populations are affected. This 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 1 for populations at greater risk. Demographic info 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 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.

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.

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 (nicholas-rudzianski@uiowa.edu 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: Greatly enhance the scope of existing algorithms to permit comprehensive identification of the 20 chronic conditions key to primary care. Improve the specificity of the existing algorithms to permit more precise automated identification of chronic conditions, limiting the amount of human review required. 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 (jenkinsr@musc.edu) or Steven M. Ornstein, MD (ornstesm@musc.edu) 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 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.

The Filipino American Community Epidemiological Study (FACES) is a research project of Asian American Recovery Services, Inc. of San Francisco, California. The four-year study, whose formal title is Alcohol-Related Problems among Filipino Americans, was concluded in 1999. It provides information and data about the health of Filipino Americans of the San Francisco Bay Area and the City and County of Honolulu. The interview asked randomly chosen Filipino American respondents in these two geographic areas about their health, alcohol consumption, mood state, physical symptoms, cultural background and sociodemographic information. The purpose of FACES was to study alcohol and stress-related behaviors of Filipino Americans. Demographic variables include gender, age, race, education level, marital status, household income, military service, and religious preference.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2010. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2012. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2013. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2014. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2015. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2016. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2017. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2018. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2019. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2020. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2021. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.

In February 2016, Under the Rainbow (UTR), a pediatric trauma-based therapy program within Sinai Chicago's Behavioral Health department, joined with the Legal Council for Health Justice (LC), the scope of which includes assistance in accessing public benefits and special education, to form a medical-legal partnership (MLP). Integrating legal services with health care, the partnership allows patients seeking services at UTR to receive referrals for legal services through LC. The partnership is built on access to judicial and legal services as a social determinant of health that can lead to improved health outcomes, and thus the goal is to provide training and support to providers on legal and social barriers to health and provide free legal assistance to patients. In this study, the research team conducted a formative evaluation of the existing MLP between the two organizations (located in Chicago, Illinois, United States). The specific aims of this evaluation were to: Determine how a medical-legal partnership (MLP) can improve knowledge and understanding of domestic and community violence Understand how the MLP can serve different populations by looking at program process and implementation in-depth Prepare the MLP for impact evaluation to determine how the MLP can fill gaps in victimization research and legal intervention programs Existing data from patient health risk assessments collected by UTR and legal services data collected by LC were obtained and analyzed. Clients had been served by UTR and referred to LC between July 2016 and May 2021. Interviews with staff at both organizations were conducted in 2019 and 2020. The research team also completed documentation review and created other artifacts (e.g. protocols, implementation guides, process maps) as a result of the evaluation.

This study sought to evaluate the functional independence in children at a Centers for Pediatric Rehabilitation Teleton (CRIT) facility in Guanajuato, Mexico through the use of the WeeFIM Instrument (0-3 Module). The dataset in this collection was generated in May 2013 from electronic health records for secondary analysis of de-identified data. The goal of CRIT, that this research sought to evaluate, was to improve social integration for children with disabilities in Mexico through comprehensive rehabilitation services, including physical therapy, occupational therapy, neurotherapy, speech therapy, physical and rehabilitation medicine, psychology, social integration, and school for parents. The collection includes one dataset (35 variables, 5,993 cases). Demographic variables included in the collection: Age, gender, and city of residence.

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. The major aim of this study was to test the hypothesis that legal representation of the Intimate Partner Violence (IPV) victim in child custody decisions leads to greater legal protections being awarded in these decisions compared to similar cases of unrepresented IPV victims. A retrospective cohort study was conducted among King County couples with minor children filing for marriage dissolution in King County, Washington between January 1, 2000 and December 31, 2010 who had a history of police or court documented intimate partner violence (IPV). The study examined the separate effects of private legal representation and legal aid representation relative to propensity score-matched, unrepresented comparison subjects. Primary study outcomes were measured at the time the first "Final Parenting Plan" was awarded. Researchers also examined the two-year period post-decree among the subset of cases with filing between January 1, 2000 and December 31, 2009 for post-decree court proceedings indicative of continued child custody or visitation disputes.

A rare disease is one that affects fewer than 200,000 people in the United States. Because few people have these diseases, clinical studies on treatments can be hard to conduct. One way to study rare disease treatments is with an small n sequential multiple assignment randomized trial (snSMART) study. snSMART studies have two stages. In the first stage, researchers assign patients to a treatment by chance. In the second stage, patients may stay with the same treatment or switch treatments. Patients stay on the same treatment if it's working well. If the treatment isn't working, researchers assign patients by chance to a new treatment. snSMARTs can help researchers learn more from a smaller number of patients than a standard clinical study. But most current methods for analyzing snSMARTs use data only from the first stage, which can lead to inefficient results. In this project, the research team developed and tested new methods that use data from both stages to analyze snSMARTs. The team compared results from the new methods to actual treatment effectiveness to see: Bias, or whether results are too high or too low Efficiency, or how big the difference is between the results and actual treatment effectiveness This study contains two supplementary documentation files. There is no data included in this release.

A Data Guide for this study is available as a web page and for download. The India Human Development Survey-II (IHDS-II), 2011-12 is a nationally representative, multi-topic survey of 42,152 households in 1,503 villages and 971 urban neighborhoods across India. These data are mostly re-interviews of households interviewed for IHDS-I (ICPSR 22626) in 2004-05. Two one-hour interviews in each household covered topics concerning health, education, employment, economic status, marriage, fertility, gender relations, social capital, village infrastructure, wage levels, and panchayat composition. Children aged 8-11 completed short reading, writing and arithmetic tests. The IHDS-II data are assembled in fourteen datasets: Individual Household Eligible Women Birth History Medical Staff Medical Facilities Non Resident School Staff School Facilities Wage and Salary Tracking Village Village Panchayat Village Respondent

The India Human Development Survey (IHDS) is a nationally representative, multi-topic survey of 42,152 households in 1,503 villages and 971 urban neighborhoods across India. Data were originally collected from households during 2004-2005. Interviewers returned in 2011-2012 to re-interview these same households. During both waves of data collection, two one-hour interviews were conducted covering a large range of topics. The goal of the IHDS program is to document changes in the daily lives of Indian households in a society undergoing rapid transition. This particular data collection merges the two waves of IHDS (known as IHDS and IHDS-II) into a harmonized pattern from the perspective view points of individuals, households, and eligible women. The data are presented in three different data formats: cross-sectional, wide, and long to facilitate a broader range of analysis options. Due to the specificity of geography and inclusion of sensitive / identifying topics there is a public-use and restricted-use rendition for each of the nine data files.

The TILDA Series data, including studies 34315, 38681, 37105, 37106, 38670, 38674, are currently unavailable at the request of the data producer due to concerns related to EU and Irish data privacy and data sharing rules. We are working to determine the best solution to continue to share these data with the research community. Individuals interested in obtaining TILDA data access at this time should reach out to the TILDA project directly (https://tilda.tcd.ie/data/accessing-data/). The Irish Longitudinal Study on Ageing (TILDA) collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over who reside in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Participants were invited to complete the COVID Self Completion Questionnaire to capture their experiences during the COVID-19 pandemic. This data collection was planned in response to the pandemic and took place during the time when Wave 6 fieldwork was originally scheduled to take place. The TILDA COVID-19 Study covers a range of aspects of the lives of adults aged 60 years and older during the first few months of the pandemic. As well as information on changes to normal day activities due to social-distancing and other restrictions on social interactions, we examine how these alterations to peoples' lives have impacted on their physical and mental wellbeing. The study also records peoples' exposure to the virus as well as that of their families and friends.

The Los Angeles Metropolitan Area Studies [LAMAS] 6, 1973 collection reflects data gathered in 1973 as part of the Los Angeles Metropolitan Area Studies (LAMAS). The LAMAS, beginning in the spring of 1970, are a shared-time omnibus survey of Los Angeles County community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy. The LAMAS instruments, indexes, and scales used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this year of the LAMAS cover respondents' attitudes toward the following topics: air pollution, health care services in the community, local government politics, police relations, recreation and leisure time. In addition, participating researchers were given the option of submitting questions to be asked in addition to the core items. These additional question topics include: sleep habits, the true self, impact of computers, job seeking behavior, and mental health and psychological factors. Demographic variables in this collection include sex, age, race, ethnicity, education, occupation, income, religion, marital status, birth place, and housing type.

In April 2006, Massachusetts passed a comprehensive health care reform bill entitled An Act Providing Access To Affordable, Quality, Accountable Health Care (Chapter 58 of the Acts of 2006), that sought to move the state to near universal coverage. In order to track the impacts of Chapter 58, the Blue Cross Blue Shield of Massachusetts Foundation began funding an annual telephone survey of nonelderly adults in the Commonwealth in fall 2006, just prior to the implementation of key elements of the law. That survey, called the Massachusetts Health Reform Survey (MHRS), was fielded in the fall of 2006-2010, 2012, 2013, 2015, and 2018. This data collection comprises data from the 2018 round of the Massachusetts Health Reform Survey (MHRS). Topics covered by the survey include health insurance status; specific types of health insurance coverage held by the survey respondents; insurance premiums and covered services for those with insurance; access to and use of health care; out-of-pocket health care costs and medical debt; health and disability status; mental health and substance use disorders. Demographic variables include income, race, and employment status.

The Medicare Health Outcomes Survey (HOS) is the first patient reported health outcomes measure for the Medicare population in managed care settings. It is a continuous study that measures the physical and mental health and well-being of Medicare beneficiaries over a two-year period. Starting in 1998, a baseline survey was administered to a new cohort of respondents each year in the spring and a follow-up survey was conducted of those same respondents two years later. Cohorts 1-5 include the Baseline Data, the Follow-Up Data, and the Analytic Data file, which contains the merged Baseline and Follow-Up files along with supplemental variables. Beginning with Cohort 6, the Follow-Up Data were included only in the Analytic file. The HOS consists of the SF-36 Health Survey, which yields physical and mental health summary measures, as well as questions on topics such as chronic medical conditions, activities of daily living (ADLs), depression, smoking, physical health symptoms, weight and height, and additional questions corresponding to HEDIS (Health Care Employer Data and Information Set) measures such as urinary incontinence in older adults, osteoporosis testing in older women, and fall risk management. In 2006, CMS implemented the Medicare HOS 2.0 for Medicare Advantage Organizations (MAOs) which evaluates physical and mental health status using the Veteran RAND 12-Item Health Survey (VR-12). The revised instrument contains questions that gather information for case-mix and risk-adjustment variables, and collects information on respondents' physical functioning, bodily pain, social functioning, mental health, vitality, general health, and how respondents' physical and emotional health affects their lives. The survey includes case-mix adjustment variables which may be used to adjust the survey response data for beneficiary characteristics that are known to be related to systematic biases in the way people respond to survey questions. Demographic information includes respondent's age, gender, race, education level, marital status, annual household income, and geographic region.

The National Ambulatory Medical Care Surveys (NAMCS) supply data on ambulatory medical care provided in physicians' offices. The 1992 survey contains information from 34,606 patient visits to 1,558 physicians. Data are available on the patient's reason for the visit, the physician's diagnosis, and the kinds of diagnostic and therapeutic services rendered. Information is included on the physician's specialization and geographical location. Demographic information on patients, such as age, sex, race, and ethnicity, was also collected.

The National Ambulatory Medical Care Surveys (NAMCS) supply data on ambulatory medical care provided in physicians' offices. The 1997 survey contains information from 24,715 patient visits to 1,247 physicians' offices. Data are available on the patient's smoking habits, reason for the visit, expected source of payment, the physician's diagnosis, and the kinds of diagnostic and therapeutic services rendered. Other variables cover drugs/medications ordered, administered, or provided during office visits, with information on medication code, generic name and code, brand name, entry status, prescription status, federal controlled substance status, composition status, and related ingredient codes. Information is also included on the physician's specialization and geographic location. Demographic information on patients, such as age, sex, race, and ethnicity, was also collected.

The National Ambulatory Medical Care Surveys (NAMCS) supply data on ambulatory medical care provided in physicians' offices. The 1998 survey contains information from 24,715 patient visits to 1,247 physicians' offices. Data are available on the patient's smoking habits, reason for the visit, expected source of payment, the physician's diagnosis, and the kinds of diagnostic and therapeutic services rendered. Other variables cover drugs/medications ordered, administered, or provided during office visits, with information on medication code, generic name and code, brand name, entry status, prescription status, federal controlled substance status, composition status, and related ingredient codes. Information is also included on the physician's specialization and geographic location. Demographic information on patients, such as age, sex, race, and ethnicity, was also collected.

The National Ambulatory Medical Care Surveys (NAMCS) supply data on ambulatory medical care provided in physicians' offices. The 1999 survey contains information from 20,760 patient visits to 1,087 physicians' offices. Data are available on the patient's smoking habits, reason for the visit, expected source of payment, the physician's diagnosis, and the kinds of diagnostic and therapeutic services rendered. Other variables cover drugs/medications ordered, administered, or provided during office visits, with information on medication code, generic name and code, brand name, entry status, prescription status, federal controlled substance status, composition status, and related ingredient codes. Information is also included on the physician's specialization and geographic location. Demographic information on patients, such as age, sex, race, and ethnicity, was also collected.

The National Ambulatory Medical Care Surveys (NAMCS) supply data on ambulatory medical care provided in physicians' offices. The 2003 survey contains information from 28,738 patient visits to 1,215 physicians' offices. Data are available on the patient's smoking habits, reason for the visit, expected source of payment, the physician's diagnosis, and the kinds of diagnostic and therapeutic services rendered. Other variables cover drugs/medications ordered, administered, or provided during office visits, with information on medication code, generic name and code, brand name, entry status, prescription status, federal controlled substance status, composition status, and related ingredient codes. Information is also included on the physician's specialization and geographic location. Demographic information on patients, such as age, sex, race, and ethnicity, was also collected.

The National Ambulatory Medical Care Surveys (NAMCS) supply data on ambulatory medical care provided in physicians' offices. The 2003 survey contains information from 25,288 patient visits to 1,049 physicians' offices. Data are available on the patient's smoking habits, reason for the visit, expected source of payment, the physician's diagnosis, and the kinds of diagnostic and therapeutic services rendered. Other variables cover drugs/medications ordered, administered, or provided during office visits, with information on medication code, generic name and code, brand name, entry status, prescription status, federal controlled substance status, composition status, and related ingredient codes. Information is also included on the physician's specialization and geographic location. Demographic information on patients, such as age, sex, race, and ethnicity, was also collected.

The National Ambulatory Medical Care Surveys (NAMCS) supply data on ambulatory medical care provided in physicians' offices. The 2004 survey contains information from 25,286 patient visits to 1,121 physicians' offices. Data are available on the patient's smoking habits, reason for the visit, expected source of payment, the physician's diagnosis, and the kinds of diagnostic and therapeutic services rendered. Other variables cover drugs/medications ordered, administered, or provided during office visits, with information on medication code, generic name and code, brand name, entry status, prescription status, federal controlled substance status, composition status, and related ingredient codes. Information is also included on the physician's specialization and geographic location. Demographic information on patients, such as age, sex, race, and ethnicity, was also collected.