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Showing 1 – 5 of 5 results.
Curated

Developing Methods for Assessing Outcomes of Law and Policy on Drug Trafficking Offenders, Organizations, and Criminal Justice Responses, United States, 2000-2018 (ICPSR 38441)

Released/updated on: 2024-02-27
Geographic coverage: Tacoma, Seattle, United States, California, Bellevue, Washington
Time period: 2000-01-01--2018-12-31

This project sought to gather and analyze data on the effects of marijuana legalization from primary and secondary data sources that are both local and national in scope, and at both the individual and aggregate level. Since 1996, 37 states have passed statutes legalizing marijuana for medical and/or recreational use, while it has remained illegal under federal law. Jurisdictional and temporal variation in law creates a complex environment and substantial challenges for police and prosecutors charged with enforcement, and little is known about the justice system processing, public safety, and public health outcomes of evolving laws and policies.

Secondary criminal justice and public health data were gathered from federal, state, and local sources. Each source has a sufficiently long time series to provide statistical power and to allow for sometimes gradual implementation. The design exploits geographic and temporal variation in the implementation of marijuana law, using a difference-in-differences design that compares outcomes in states which implemented the policies with states that did not, before and after implementation.

Curated
Restricted

Non-Medical use of Prescription Drugs: Policy Change, Law Enforcement Activity, and Diversion Tactics, Florida, 2010-2014 (ICPSR 36609)

Released/updated on: 2018-03-21
Geographic coverage: United States, Orlando, St. Petersburg, Florida, Miami
Time period: 2010-01-01--2014-01-01

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study contains Uniform Crime Report geocoded data obtained from St. Petersburg Police Department, Orlando Police Department, and Miami-Dade Police Department for the years between 2010 and 2014. The three primary goals of this study were:

  1. to determine whether Florida law HB 7095 (signed into law on June 3, 2011) and related legislation reduced the number of pain clinics abusively dispensing opioid prescriptions in the State
  2. to examine the spatial overlap between pain clinic locations and crime incidents
  3. to assess the logistics of administering the law

The study includes:

  • 3 Excel files: MDPD_Data.xlsx (336,672 cases; 6 variables), OPD_Data.xlsx (160,947 cases; 11 variables), SPPD_Data.xlsx (211,544 cases; 14 variables)
  • 15 GIS Shape files (95 files total)

Data related to respondents' qualitative interviews and the Florida Department of Health are not available as part of this collection. For access to data from the Florida Department of Health, interested researchers should apply directory to the FDOH.

Curated
Restricted

Optimizing Prescription Drug Monitoring Programs to Support Law Enforcement Activities, United States, 2013-2014 (ICPSR 36043)

Released/updated on: 2018-07-19
Geographic coverage: West Virginia, Indiana, United States, New Mexico, Oklahoma, Massachusetts, Kentucky, Ohio, Washington, Nevada
Time period: 2013-01-01--2014-01-01

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The purpose of this study was to characterize Prescription Drug Monitoring Programs' (PDMP) features and practices that are optimal for supporting law enforcement investigations and prosecutions of prescription drug diversion cases.

The study collection includes 1 CSV data file (OptimizingPDMPsToSup_DATA_NOHDRS_2015-01-29_1235.csv, n=1,834, 204 variables). The qualitative data is not available as part of this collection at this time.

Curated
Simple Crosstabs

Perception and Memory Experiments Using Drug Names [2010, Canada] (ICPSR 34122)

Released/updated on: 2013-04-30
Geographic coverage: Canada, Ontario, Global
Time period: 2012-03-28--2012-03-29, 2012-07-05--2012-07-06
Drug names that look and sound alike are a leading cause of medication errors (e.g., diazepam and diltiazem, hydroxyzine and hydralazine, Paxil and Taxol, fomepizole and omeprazole, Foradil and Toradol). Observational studies of dispensing in outpatient pharmacies suggest that the rate of wrong drug errors -- the type most likely to be the result of name confusion -- is roughly 0.13 percent. With 3.9 billion prescriptions dispensed in 2009, that translates to 5 million wrong drug errors per year in the United States. The purpose of this overall project was to develop, demonstrate, and disseminate a standard protocol for pre-approval testing of drug names, including a standard battery of psycholinguistic tests and data analytic methods, all with comparison to control names and to refine and demonstrate analytic methods by conducting a series of visual perception, auditory perception, and short term memory experiments using drug names as stimuli. The achievement of this aim will provide both regulators and pharmaceutical manufacturers with a scientifically validated, step-by-step method for testing new drug names for confusability. The data for this collection come from four experiments. In each experiment, participants are tested on their ability to correctly identify drug names under four conditions (see study design). Variables include participant reaction time to identify drug names and the percent participants correctly or incorrectly identified drug names. Study participants include medical doctors, nurse practitioners, pharmacists, and pharmacy technicians. Other variables include participant gender, education degree held, primary language spoken, and employment location.
Curated
Restricted

Synthetic North Carolina Prescription Drug Monitoring Program (PDMP) Data, 2009-2013 (ICPSR 36052)

Released/updated on: 2017-12-12
Geographic coverage: North Carolina, United States
Time period: 2009-01-01--2013-01-01

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The misuse, abuse and diversion of controlled substances have reached epidemic proportion in the United States. Contributing to this problem are providers who over-prescribe these substances. The researchers in this study developed a series of metrics to identify providers manifesting unusual prescribing practices using one state's prescription monitoring program.

The collection includes 1 Excel data file with 10,000 cases and 13 variables (2015_NC_PDMP_Synthetic_Data_Set.xlsx).

Users should note the included data file is a synthetic dataset constructed with the same variance and distributions as the original data.