| Title |
Criminal justice measures for economic data harmonization in substance use disorder research
|
|---|---|
| Published in |
Health & Justice, September 2018
|
| DOI | 10.1186/s40352-018-0073-6 |
| Pubmed ID | |
| Authors |
Kathryn E. McCollister, Xuan Yang, Sean M. Murphy, Jared A. Leff, Richard A. Kronmal, Heidi M. Crane, Redonna K. Chandler, Faye S. Taxman, Daniel J. Feaster, Lisa R. Metsch, William E. Cunningham, Frederick L. Altice, Bruce R. Schackman |
| Abstract |
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. 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. 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. 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. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 69% |
| Chile | 2 | 15% |
| Canada | 1 | 8% |
| Unknown | 1 | 8% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Other | 3 | 10% |
| Researcher | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 11 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 16% |
| Psychology | 5 | 16% |
| Medicine and Dentistry | 4 | 13% |
| Decision Sciences | 3 | 10% |
| Computer Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 February 2019.
All research outputs
#2,380,130
of 24,995,564 outputs
Outputs from Health & Justice
#50
of 246 outputs
Outputs of similar age
#47,938
of 347,603 outputs
Outputs of similar age from Health & Justice
#6
of 8 outputs
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