Oklahoma Methamphetamine Data Initiative, 2018-2022 (ICPSR 38656)

Version Date: Dec 14, 2023

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Principal Investigator(s):
Jason Beaman, Oklahoma State University. Center for Health Sciences; Micah Hartwell, Oklahoma State University. Center for Health Sciences

https://doi.org/10.3886/ICPSR38656.v1

Version V1

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Alternate Title

OMDI

Summary

The Oklahoma Methamphetamine Data Initiative (OMDI) sought to examine the relationship between methamphetamine and violent crime. Both national and local drugs and crime data were collected to inform narcotics law enforcement intervention strategies. OMDI's goals are to establish procedures and metrics to evaluate the relationship between meth and violent crime; identify static and dynamic factors associated with violent crime stemming from meth use or distribution to improve community surveillance in Oklahoma; develop a regularly updated dashboard for law enforcement prevention/intervention deployment; and demonstrate the utility of this model for other states, rural areas, and Indian Country.

Citation

Beaman, Jason, and Hartwell, Micah. Oklahoma Methamphetamine Data Initiative, 2018-2022. Inter-university Consortium for Political and Social Research [distributor], 2023-12-14. https://doi.org/10.3886/ICPSR38656.v1

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Funding

United States Department of Justice. Office of Justice Programs. National Institute of Justice (2020-R2-CX-0014)

Subject Terms

Geographic Coverage

Smallest Geographic Unit

County

Restrictions

Access to these data is restricted. Users interested in obtaining these data must complete a Restricted Data Use Agreement, specify the reason for the request, and obtain IRB approval or notice of exemption for their research.

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2010-01-01 -- 2019-12-31

Date of Collection

2020-01-01 -- 2022-12-31

Data Collection Notes

  1. For additional information on the Oklahoma Methamphetamine Data Initiative, please visit the Oklahoma Methamphetamine Data Initiative website.
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Study Purpose

The study's research questions included the following:

  • Where is meth use and violent crime intersections more prevalent?
  • Are there cultural and geographic differences (e.g., American Indian and rural communities)?
  • Are there upstream factors (socio-environmental factors) that mediate violent crime?
  • Does identifying patterns in traditional and new data aid community surveillance, intervention, and prevention?

The cross-sectional and longitudinal research design leverages data to correlate and forecast meth-related violent crime. These include CDC's WONDER data on drug overdoses and Behavioral Risk Factor Surveillance System (BRFSS), FBI's National Incident Based Reporting System (NIBRS) on crimes, the Oklahoma State Courts Network (OSCN) on criminal cases, and Google Trends data on meth-related searches. Data will be extracted using a publicly available application-programming interface and a new Graphic User Interface. Statistical techniques include hierarchical regression, structural equation modeling, and time series models. Dissemination will be via medical, forensic, criminal justice, and police publications and conferences, and federal, state, and local law enforcement briefings.

Time Method

Longitudinal, Cross-sectional

Universe

Persons who exhibit methamphetamine use and violent crime.

Data Source

Google Trends

Center for Disease Control's Wide-ranging ONline Data for Epidemiological Research (WONDER)

U.S. Environmental Protection Agency

Bureau of Labor Statistics

Office of Policy Development and Research

Federal Bureau of Investigation Crime Data Explorer

Feeding America

County Health Rankings and Roadmaps

United States Census

Oklahoma State Courts Network

Data Type(s)

Mode of Data Collection

Description of Variables

This study looks at rates of occurrences of methamphetamine-related crimes and related violent crimes in the United States and Oklahoma specifically. These include trafficking, manufacturing, possession, and distribution. Also included are demographics variables such as race, graduation rate, education level, and tribal status. Lastly, health variables include smoker status, the teenage birth rate, food insecurity, and mental health.

Response Rates

Not applicable

Presence of Common Scales

None

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Original Release Date

2023-12-14

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Weight

Not applicable

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Notes

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.

  • One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.