,The National Survey of Substance Abuse Treatment Services (N-SSATS) is designed to collect information from all facilities in the United States, both public and private, that provide substance abuse treatment. Data are collected on topics including facility operation, services offered (assessment and pre-treatment, pharmacotherapies, testing, transitional, ancillary), detoxification, primary focus (substance abuse, mental health, both, general health, and other), hotline operation, Opioid Treatment Programs and medications dispensed/prescribed, counseling and therapeutic approaches, languages in which treatment is provided, type of treatment provided, number of clients (total and under age 18), number of beds, types of payment accepted, sliding fee scale, special programs offered, facility accreditation and licensure/certification, and managed care agreements. N-SSATS was titled the Uniform Facility Data Set (UFDS) in 1997 and 1998. Data from these years along with N-SSATS 2000 and N-SSATS 2002 to N-SSATS 2011 are included in this concatenated dataset.This study has 1 Data Set.,

,The National Household Survey on Drug Abuse (NHSDA) series measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions include age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covers substance abuse treatment history and perceived need for treatment, and includes questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. Respondents are also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous NHSDA administrations were retained in the 1999 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, gang involvement, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving behavior and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. Demographic data include sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.,

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. This collection was part of a larger two-phase project funded by the National Institute of Justice (NIJ). Phase I focused on the development and estimation of predictive crime models in Shreveport, Louisiana and Chicago, Illinois. Phase II involved the implementation of a prevention model using the predictive model. To evaluate the two predictive policing pilot programs funded by NIJ, RAND evaluated the predictive and preventative models employed by the Shreveport Police Department titled Predictive Intelligence Led Operational Targeting (PILOT). RAND evaluated whether PILOT was associated with a measurable reduction in crime. The data were used to determine whether or not there was a statistically significant reduction in property crime counts in treated districts versus control districts in Shreveport. The collection includes 1 Excel file (Shreveport_Predictve_Policing_Evaluation_Experiment_Data.xlsx (n=91; 8 variables)) related only to the property crime aspect of the study. Neither data used to perform the outcomes evaluation for the Chicago Police Department experiment nor qualitative data used to help perform the prediction and prevention model evaluations are available.

This report presents results from the Treatment Episode Data Set (TEDS) for 2005 and trend data for 1995-2005. The report provides information on the demographic and substance abuse characteristics of the 1.8 million people admitted to treatment for abuse of alcohol and drugs in 2005 to facilities that report to individual state administrative data systems.

국립부곡병원 대표홈페이지 내 중독바로알기 웹서비스를 통하여 수집되는 중독진단 통계 데이터 현황(분류,진단명,년도,건수,주체,남성,여성,연령,(검사결과),지역)

Read key findings from the 2018 National Survey on Drug Use and Health (NSDUH) on substance use, mental health, and treatment by age group. Metrics in the report cover the civilian, noninstitutionalized US population ages 12 and older. The report covers both current conditions and trends over time.

The overall goals of the process evaluation were to assess the participants' views on the Residential Substance Abuse Treatment (RSAT), a Therapeutic Community program at Baylor Women's Correctional Institute, and to determine whether the women thought the program met their needs specifically based on gender. The specific goals of the study were: (1) to determine drop-out points along the continuum of the treatment model and to review the case files to discover any patterns in client participation and review demographic data in the program, and (2) to assess what current participants thought about the program and treatment model. For Part 1, Recent Graduate Data, data were secured from case files of women who had been discharged from the Therapeutic Community (Key Village) program in Baylor Women's Correctional Institute in 1999. This analysis was used to prepare the survey instrument used for the interviews given to the women currently participating in the program. For Part 2, Client Assessment Satisfaction Data, the current residents of the program were interviewed. During fall of 2000 and spring of 2001, a survey was developed to assess how the current participants viewed the Key Program. The questions were intended to gather information to assess the gender appropriateness of the program. A database was constructed to search for any consistencies or variables that would address the issue of gender appropriateness or lack of such in the operation of the program from the participants' point of view. During the interview period there were a total of 88 women in the Key Program. Of the 88 women, 76 agreed to participate in the study. For Part 1, the variables cover demographic data, criminal history information, medical information, prior drug treatment histories, and program success or failure. Part 2 variables cover demographic information, and questions dealing with prior drug use, the first four weeks of the program, the confrontation aspects of the program, sanctions and program rules, staff/participant interaction, program activities and responsibilities as opposed to the general population, readiness for change, support systems, children's visits and children as motivation, physical aspects of the program, mental health, the need for additional vocational and educational services, significant aspects and experiences from the program, and desired changes to the program.

药物滥用资料中央档案室年报中的年度吸毒者统计数字

,The Treatment Episode Data Set -- Discharges (TEDS-D) is a national census data system of annual discharges from substance abuse treatment facilities. TEDS-D provides annual data on the number and characteristics of persons discharged from public and private substance abuse treatment programs that receive public funding. Data collected both at admission and at discharge is included. The unit of analysis is a treatment discharge. TEDS-D consists of data reported to state substance abuse agencies by the treatment programs, which in turn report it to SAMHSA. A sister data system, called the Treatment Episode Data Set -- Admissions (TEDS-A), collects data on admissions to substance abuse treatment facilities. The first year of TEDS-A data is 1992, while the first year of TEDS-D is 2006. TEDS-D variables that are required to be reported are called the "Minimum Data Set (MDS)", while those that are optional are called the "Supplemental Data Set (SuDS)". Variables unique to TEDS-D, and not part of TEDS-A, are the length of stay, reason for leaving treatment, and service setting at time of discharge. TEDS-D also provides many of the same variables that exist in TEDS-A. This includes information on service setting, number of prior treatments, primary source of referral, sex, race, ethnicity, education, employment status, substance(s) abused, route of administration, frequency of use, age at first use, and whether methadone was prescribed in treatment. Supplemental variables include: diagnosis codes, presence of psychiatric problems, living arrangements, source of income, health insurance, expected source of payment, pregnancy and veteran status, marital status, detailed not in labor force codes, detailed criminal justice referral codes, days waiting to enter treatment, and the number of arrests in the 30 days prior to admissions (starting in 2008) . Substances abused include alcohol, cocaine and crack, marijuana and hashish, heroin, nonprescription methadone, other opiates and synthetics, PCP, other hallucinogens, methamphetamine, other amphetamines, other stimulants, benzodiazepines, other non-benzodiazepine tranquilizers, barbiturates, other non-barbiturate sedatives or hypnotics, inhalants, over-the-counter medications, and other substances. Created variables include total number of substances reported, intravenous drug use (IDU), and flags for any mention of specific substances. This study has 1 Data Set.,

,The Treatment Episode Data Set -- Discharges (TEDS-D) is a national census data system of annual discharges from substance abuse treatment facilities. TEDS-D provides annual data on the number and characteristics of persons discharged from public and private substance abuse treatment programs that receive public funding. Data collected both at admission and at discharge is included. The unit of analysis is a treatment discharge. TEDS-D consists of data reported to state substance abuse agencies by the treatment programs, which in turn report it to SAMHSA. A sister data system, called the Treatment Episode Data Set -- Admissions (TEDS-A), collects data on admissions to substance abuse treatment facilities. The first year of TEDS-A data is 1992, while the first year of TEDS-D is 2006. TEDS-D variables that are required to be reported are called the "Minimum Data Set (MDS)", while those that are optional are called the "Supplemental Data Set (SuDS)". Variables unique to TEDS-D, and not part of TEDS-A, are the length of stay, reason for leaving treatment, and service setting at time of discharge. TEDS-D also provides many of the same variables that exist in TEDS-A. This includes information on service setting, number of prior treatments, primary source of referral, sex, race, ethnicity, education, employment status, substance(s) abused, route of administration, frequency of use, age at first use, and whether methadone was prescribed in treatment. Supplemental variables include: diagnosis codes, presence of psychiatric problems, living arrangements, source of income, health insurance, expected source of payment, pregnancy and veteran status, marital status, detailed not in labor force codes, detailed criminal justice referral codes, days waiting to enter treatment, and the number of arrests in the 30 days prior to admissions (starting in 2008) . Substances abused include alcohol, cocaine and crack, marijuana and hashish, heroin, nonprescription methadone, other opiates and synthetics, PCP, other hallucinogens, methamphetamine, other amphetamines, other stimulants, benzodiazepines, other non-benzodiazepine tranquilizers, barbiturates, other non-barbiturate sedatives or hypnotics, inhalants, over-the-counter medications, and other substances. Created variables include total number of substances reported, intravenous drug use (IDU), and flags for any mention of specific substances.This study has 1 Data Set.,