This is the 2020 Uniform Reporting System (URS) Output Tables for Northern Mariana Islands. The URS state reporting system is collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing an...
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This is the 2020 Uniform Reporting System (URS) Output Tables for American Samoa. The URS state reporting system is collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing an overview...
This is the 2020 Uniform Reporting System (URS) Output Tables for Palau. The URS state reporting system is collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing an overview of...
This is the 2020 Uniform Reporting System (URS) Output Tables for Puerto Rico. The URS state reporting system is collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing an overview...
This is the 2020 Uniform Reporting System (URS) Output Tables for Republic of Marshall Islands. The URS state reporting system is collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing...
This is the 2020 Uniform Reporting System (URS) Output Tables for Virgin Islands. The URS state reporting system is collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing an overview...
This is the 2020 Uniform Reporting System (URS) Output Tables for Federated States Of Micronesia. The URS state reporting system is collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing...
This is the 2020 Uniform Reporting System (URS) Output Tables for Guam. The URS state reporting system is collected annually to support the Community Mental Health Services Block Grant program. State Mental Health Authorities report on National Outcome Measures (NOMS), evidence based practices, and utilization measures providing an overview of...
This report presents results from the Mental Health Client-Level Data (MH-CLD) and Mental Health Treatment Episode Data Set (MH-TEDS) for individuals receiving mental health services from state mental health systems in 2019, as well as selected trends in data collected from such individuals between 2014 and 2019. The report provides...
This report describes tasks relating to data collection for the 2019 NSDUH: Sampling and Counting and Listing Operations, Data Collection Staffing, Preparation of Survey Materials, Field Staff Training, Data Collection, Data Collection Results, and Quality Control.
This report focuses on the editing and statistical imputation procedures that were applied to respondent data for the 2019 NSDUH. Logical editing uses data from elsewhere within the same respondent's record to reduce the occurrence of missing or ambiguous data or to resolve inconsistencies between related variables. Imputation is defined as...
Learn about ways that the 2019 National Survey on Drug Use and Health (NSDUH) is different from the previous year in its questionnaires, screeners, and interviewer materials.
This report contains a brief review of the sampling weight calibration methodology used for the 2019 National Survey on Drug Use and Health (NSDUH). This report also lists detailed documentation on the implementation steps and evaluation results from the weight calibration application. The constrained exponential modeling (CEM) method used in the...
NSDUH allows for estimating characteristics at the person level, pair level, and household or QDU level. This report describes the weight calibration methods used for the pair- and QDU-level respondents. As described in the person-level report, NSDUH is an annual survey of about 67,500 people selected from the civilian, noninstitutionalized...
This report details the 2019 sample design for the NSDUH and covers the design overview, target population, and stages of sample selection. The design overview describes how the sample design remains consistent with NSDUH’s designs since 1991 and has extended coverage of the sample since then to include additional resident populations...