PubMed · 15705831
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
John S Mattick, Michael J Gagen. 2005-02-11. Mathematics/computation. Accelerating networks.. https://doi.org/10.1126/science.1103737
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
The two goals of this technology transfer study were to: (1) increase the number and appropriateness of services received by substance abuse patients, and thereby (2) give clinical meaning and value to research-based assessment information. A software-based Resource Guide was developed to allow counselors to easily identify local resources for referral of their patients to additional clinical and social services. Two hours of training were provided on the use of the guide. It was hoped that this software and training would provide the counselors with a concrete method of linking the Addiction Severity Index (ASI) assessment information on patient problems to appropriate, available community services. We expected improved treatment planning, increased problem services matching, better patient-counselor rapport/satisfaction and better patient-performance during treatment. Data were analyzed from 131 patients of 33 counselors from 9 treatment programs, randomly assigned to 2 groups--Standard Assessment (SA) or Enhanced Assessment (EA). Patients of counselors in the EA group (1) had treatment plans that were better matched to their needs, (2) received significantly more and better-matched services than patients in the SA group, and (3) were less likely to leave treatment against medical advice and more likely to complete the full course of treatment than patients of counselors in the SA group. They did not have higher levels of patient satisfaction or helping alliance scores. These findings are discussed with regard to integrating empirically supported procedures into contemporary, community-based substance abuse treatment.
Polybrominated diphenyl ethers (PBDEs), a type of brominated flame retardant chemically and toxicologically similar to polychlorinated biphenyls (PCBs), are a class of emerging environmental and human contaminants. They have recently been detected in U.S. milk, blood, and food at the highest levels in the world. This pilot study was undertaken with the aim of determining levels of PBDE in the U.S. indoor environment, to assess the potential exposure to PBDEs from computer surfaces and carpets. Food of animal origin is the usual source of polychlorinated dibenzo-p-dioxin (PCDD), polychlorinated dibenzofurans (PCDF), and PCBs in humans, but there may also be environmental sources for intake of PBDEs. It was also our aim to characterize the PBDE congener profile in these indoor environmental samples. Four computer wipe samples and 9 domestic vacuum-sweeping samples were analyzed for 13 PBDE congeners, PBDEs 17 (2,2',4), 28 (2,4,4'?), 47 (2,2',4,4'?), 66 (2,3',4,4'?), 77 (3,3',4,4'?), 85 (2,2',3,4,4'?), 99 (2,2'4,4',5), 100 (2,2',4,4',6), 138 (2,2',3,4,4',5'?), 153 (2,2',4,4',5,5'?), 154 (2,2',4,4',5,6'?), 183 (2,2',3,4,4',5',6), and 209 (2,2',3,3',4,4',5,5',6,6'?). All samples tested positive for PBDEs. PBDE 209 was the dominant congener in all 4 computer wipe samples and in 7 out of the 9 vacuum dust samples. The congener profiles observed in this study varied considerably, a finding that has been observed previously. However these congener profiles differ from the pattern seen in U.S. human milk, human blood and in food, where PBDEs 47 and 99 predominate.
Explore the source record for details and available documents.