Search Results
Showing 1 - 2 of 2 results.
- Search terms can be anywhere in the study: title, description, variables, etc.
- Because our holdings are large, we recommend using at least two query terms:
rural economy
home ownership
higher education
- Keywords help delimit the breadth of results. Therefore, use as many as required to achieve your desired results:
elementary education federal funding
- Our search will find studies with derivative expressions of your query terms: A search for
"nation"
will find results containing "national" - Use quotes to search for an exact expression:
"social mobility"
- You can combine exact expressions with loose terms:
"united states" inmates
- Exclude results by using a MINUS sign:
elections -sweden -germany
will exclude swedish and german election studies - On the results page, you will be able to sort and filter to further refine results.
Hidden
Study Title/Investigator
Released/Updated
1.
Criminal Justice Drug Abuse Treatment Studies 2: Medication-Assisted Therapy, 2010-2013 [United States] (ICPSR 34988)
Friedmann, Peter; Prendergast, Michael; Shafer, Michael; Frisman, Linda; Visher, Christy; Leukefeld, Carl; Sacks, Stanley; Stein, Lyn; Knight, Kevin; Belenko, Steven; Ducharme, Lori
Friedmann, Peter; Prendergast, Michael; Shafer, Michael; Frisman, Linda; Visher, Christy; Leukefeld, Carl; Sacks, Stanley; Stein, Lyn; Knight, Kevin; Belenko, Steven; Ducharme, Lori
The Criminal Justice Drug Abuse Treatment Studies 2 (CJ-DATS 2) was launched in 2008 with a focus on conducting implementation research in criminal justice settings. NIDA's ultimate goal for CJ-DATS 2 was to identify implementation strategies that maximize the likelihood of sustained delivery of evidence-based practices to improve offender drug abuse and HIV outcomes, and to decrease their risk of incarceration.
The Medication-Assisted Therapy (MAT) study focuses on implementing linkages to medication assisted treatment in correctional settings. During the study period community corrections staff engaged in training about addiction pharmacotherapies, while leadership in the corrections and treatment facilities engage in a joint strategic planning process to identify and resolve barriers to efficient flow of clients across the two systems.
This study includes 28 datasets and over 1,400 variables. The first five datasets for this study contain data on the baseline characteristics of the treatment and corrections sites that participated in the study as well as the characteristics of the staff working at those facilities. Opinions about Medication Assisted Treatment surveys were administered to personnel at the participating corrections and treatment sites (D6). Data on Inter-organization Relations between Probation and Parole staff with Treatment Providers were also collected (DS7-DS18).
Information was extracted from the charts of clients about their alcohol and opioid dependence as well as the referrals and treatment the clients received (DS19). Probation and parole officers and treatment providers were surveyed about monthly counts of referrals (DS20-DS21).
During the study 10 staff members from the community corrections agency and local treatment providers where MAT services were available were nominated to participate in a Pharmacotherapy Exchange Council (PEC). PEC members were involved with strategic planning for implementing changes to improve the usage of Medication-Assisted Therapy. PEC members were surveyed several times throughout the study.
PEC members completed surveys on how well the sites were adhering to the Organizational Linkages Intervention (OLI) process (DS22). Community corrections staff, PEC members and Connections Coordinators in the experimental group were surveyed about their perceptions of organizational benefits and costs associated with the MATICCE intervention (DS23). The PEC rated the Connections Coordinators (DS24)and the Connections Coordinators rate the PEC (DS25). PEC researchers completed surveys on how much of the OLI was completed (DS26) as well as what the sustainability of the changes made through the MATTICE project (DS27). The final dataset provides a key for who took the KPI (Key Performance Indicators) training and who was a PEC member (DS28).
2016-02-02
2.
Values, Institutional Quality, and Development in Portugal, 2012-2013 (ICPSR 36289)
Portes, Alejandro; Marques, Margarida
Portes, Alejandro; Marques, Margarida
The purpose of this study was to arrive at an authoritative and nuanced assessment of the functioning and quality of Portuguese institutions through an intensive analysis of organizations and agencies deemed emblematic of the nation's institutional framework. The study selected a sample of organizations of national scope, public and private, that are both intrinsically important and capable of casting light on the character on the broader national institutional universe. Investigators were asked not only to provide historical background and detailed analysis of the internal structure and modes of operation of each organization, but to rank them in a series of strategic dimensions of institutional quality drawn from previous theoretical literature in Economics and Sociology. These topics included meritocracy, proactivity, immunity to corruption, technological flexibility, and fairness. The organizations included in this study are: the Energy Corporation (Energias de Portugal - EDP), the Food and Economic Security Authority (Autoridade de Segurança Alimentar e Económica - ASAE), the Postal System (Correios de Portugal - CTT), the Public Health System (Serviço Nacional de Saúde - SNS; Hospital de Santa Maria), and the Stock Exchange (New York Stock Exchange - Euronext Lisbon - LSE), and the Tax Authority (Autoridade Tributária - AT). Surveys were conducted with personnel of the selected organizations to gauge their general value orientations as well as their attitudes toward the organization itself. Questionnaires were answered anonymously and with full guarantees of confidentiality. Surveys were completed with personnel of five of the six institutions selected for the project; the Tax Authority did not participate. Demographic variables include age, sex, gender, education, occupation, and length of employment.
2016-03-28