304. Industrial Hygiene Program Performance Indicators (METRICS)

2000 ◽  
Author(s):  
P. Esposito
2019 ◽  
Vol 64 (12) ◽  
pp. 1236-1257
Author(s):  
Lisa M. Shannon ◽  
Afton Jackson Jones ◽  
Jennifer Newell ◽  
Elizabeth Nichols

Opioid use and abuse, as well as criminal justice involvement, have increased dramatically in the past two decades. Drug court is a community-based rehabilitation program for individuals with substance abuse issues involved in the criminal justice system. Given unique treatment needs associated with opioids, the current study examined predisposing factors and program performance indicators associated with drug court completion based on individuals’ opioid preference. Secondary data (i.e., participant assessment and drug court Management Information System) as well as conviction information from a statewide database were examined for a sample of drug court participants ( N = 534). Data analyses compared opioid-preferring ( n = 267) and non-opioid-preferring ( n = 267) program participants. For non-opioid-preferring participants, a combination of predisposing characteristics, including both social/demographic characteristics and substance use (i.e., education, drug court site, lifetime benzodiazepine use), as well as program performance indicators (i.e., number of days in drug court, number of positive drug tests, and sanctions/therapeutic responses) influenced drug court completion. For opioid-preferring participants, only program performance indicators emerged as important for program completion, specifically number of days in drug court, number of positive drug tests, and sanctions/therapeutic responses. Findings for non-opioid-preferring participants are consistent with past research, suggesting that individual predisposing characteristics and program performance indicators are influential on program completion. However, findings suggesting that only program performance indicators are influential for opioid-preferring participants adds a unique contribution to the literature. This information may help provide more individualized program planning and ultimately more programmatic success.


1990 ◽  
Vol 18 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Sally Aldridge ◽  
David Legge

2017 ◽  
pp. 142-154 ◽  
Author(s):  
A. Yusupova ◽  
S. Khalimova

The paper deals with the research devoted to characteristics of high tech business development in Russia. Companies’ performance indicators have been analyzed with the help of regression analysis and author’s scheme of leadership stability and sustainability assessment. Data provided by Russia’s Fast Growing High-Tech Companies’ National Rating (TechUp) during 2012-2016 were used. The results have revealed that the high tech sector is characterized by high level of uncertainty. Limited number of regions and sectors which form the basis for high tech business have been defined. Relationship between innovation activity’s indicators and export potential is determined.


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