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Criminal justice measures for economic data harmonization in substance use disorder research

BACKGROUND: The consequences of substance use disorders (SUDs) are varied and broad, affecting many sectors of society and the economy. Economic evaluation translates these consequences into dollars to examine the net economic impact of interventions for SUD, and associated conditions such as HCV an...

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Autores principales: McCollister, Kathryn E., Yang, Xuan, Murphy, Sean M., Leff, Jared A., Kronmal, Richard A., Crane, Heidi M., Chandler, Redonna K., Taxman, Faye S., Feaster, Daniel J., Metsch, Lisa R., Cunningham, William E., Altice, Frederick L., Schackman, Bruce R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755573/
https://www.ncbi.nlm.nih.gov/pubmed/30242561
http://dx.doi.org/10.1186/s40352-018-0073-6
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author McCollister, Kathryn E.
Yang, Xuan
Murphy, Sean M.
Leff, Jared A.
Kronmal, Richard A.
Crane, Heidi M.
Chandler, Redonna K.
Taxman, Faye S.
Feaster, Daniel J.
Metsch, Lisa R.
Cunningham, William E.
Altice, Frederick L.
Schackman, Bruce R.
author_facet McCollister, Kathryn E.
Yang, Xuan
Murphy, Sean M.
Leff, Jared A.
Kronmal, Richard A.
Crane, Heidi M.
Chandler, Redonna K.
Taxman, Faye S.
Feaster, Daniel J.
Metsch, Lisa R.
Cunningham, William E.
Altice, Frederick L.
Schackman, Bruce R.
author_sort McCollister, Kathryn E.
collection PubMed
description BACKGROUND: The consequences of substance use disorders (SUDs) are varied and broad, affecting many sectors of society and the economy. Economic evaluation translates these consequences into dollars to examine the net economic impact of interventions for SUD, and associated conditions such as HCV and HIV. The nexus between substance use and crime makes criminal justice outcomes particularly significant for estimating the economic impact of SUD interventions, and important for data harmonization. METHODS: We compared baseline data collected in six NIDA-funded Seek, Test, Treat and Retain (STTR) intervention studies that enrolled HIV-infected/at-risk individuals with SUDs (total n = 3415). Criminal justice measures included contacts with the criminal justice system (e.g., arrests) and criminal offenses. The objective was to develop a list of recommended measures and methods supporting economic data harmonization opportunities in HIV and SUD research, with an initial focus on crime-related outcomes. RESULTS: Criminal justice contacts and criminal offenses were highly variable across studies. When measures grouped by offense classifications were compared, consistencies across studies emerged. Most individuals report being arrested for property or public order crimes (> 50%); the most commonly reported offenses were prostitution/pimping, larceny/shoplifting, robbery, and household burglary. CONCLUSIONS: We identified four measures that are feasible and appropriate for estimating the economic consequences of SUDs/HIV/HCV: number of arrests, number of convictions, days of incarceration, and times committing criminal offenses, by type of offense. To account for extreme variation, grouping crimes by offense classification or calculating monthly averages per event allows for more meaningful comparisons across studies.
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spelling pubmed-67555732019-09-26 Criminal justice measures for economic data harmonization in substance use disorder research McCollister, Kathryn E. Yang, Xuan Murphy, Sean M. Leff, Jared A. Kronmal, Richard A. Crane, Heidi M. Chandler, Redonna K. Taxman, Faye S. Feaster, Daniel J. Metsch, Lisa R. Cunningham, William E. Altice, Frederick L. Schackman, Bruce R. Health Justice Research Article BACKGROUND: The consequences of substance use disorders (SUDs) are varied and broad, affecting many sectors of society and the economy. Economic evaluation translates these consequences into dollars to examine the net economic impact of interventions for SUD, and associated conditions such as HCV and HIV. The nexus between substance use and crime makes criminal justice outcomes particularly significant for estimating the economic impact of SUD interventions, and important for data harmonization. METHODS: We compared baseline data collected in six NIDA-funded Seek, Test, Treat and Retain (STTR) intervention studies that enrolled HIV-infected/at-risk individuals with SUDs (total n = 3415). Criminal justice measures included contacts with the criminal justice system (e.g., arrests) and criminal offenses. The objective was to develop a list of recommended measures and methods supporting economic data harmonization opportunities in HIV and SUD research, with an initial focus on crime-related outcomes. RESULTS: Criminal justice contacts and criminal offenses were highly variable across studies. When measures grouped by offense classifications were compared, consistencies across studies emerged. Most individuals report being arrested for property or public order crimes (> 50%); the most commonly reported offenses were prostitution/pimping, larceny/shoplifting, robbery, and household burglary. CONCLUSIONS: We identified four measures that are feasible and appropriate for estimating the economic consequences of SUDs/HIV/HCV: number of arrests, number of convictions, days of incarceration, and times committing criminal offenses, by type of offense. To account for extreme variation, grouping crimes by offense classification or calculating monthly averages per event allows for more meaningful comparisons across studies. Springer Berlin Heidelberg 2018-09-21 /pmc/articles/PMC6755573/ /pubmed/30242561 http://dx.doi.org/10.1186/s40352-018-0073-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
McCollister, Kathryn E.
Yang, Xuan
Murphy, Sean M.
Leff, Jared A.
Kronmal, Richard A.
Crane, Heidi M.
Chandler, Redonna K.
Taxman, Faye S.
Feaster, Daniel J.
Metsch, Lisa R.
Cunningham, William E.
Altice, Frederick L.
Schackman, Bruce R.
Criminal justice measures for economic data harmonization in substance use disorder research
title Criminal justice measures for economic data harmonization in substance use disorder research
title_full Criminal justice measures for economic data harmonization in substance use disorder research
title_fullStr Criminal justice measures for economic data harmonization in substance use disorder research
title_full_unstemmed Criminal justice measures for economic data harmonization in substance use disorder research
title_short Criminal justice measures for economic data harmonization in substance use disorder research
title_sort criminal justice measures for economic data harmonization in substance use disorder research
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6755573/
https://www.ncbi.nlm.nih.gov/pubmed/30242561
http://dx.doi.org/10.1186/s40352-018-0073-6
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