Week 5 Assignment: Statistics in Criminology – Comprehensive Addiction and Recovery Act

Statistics in Criminology essay sample

Statistics in Criminology – Comprehensive Addiction and Recovery Act: In this assignment, you will provide some context related to the collection, analysis, and application of data in creating policies…(Statistics in Criminology essay sample)

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Paper details

• Statistical data is used to solve the crime and find patterns of behavior. This is especially relevant when working to develop new policies. You have been asked to submit a proposal to your local city council in support of a community or proactive policing. 
• In this assignment, you will provide some context related to the collection, analysis, and application of data in creating policies. 
• Research a program in community policing or proactive policing that you support. Write a 700- to 1,050-word proposal in which you:

1. Explain the issues surrounding the collection of data of the selected program.
2. Share an example of the analysis of that data and explain if you feel it is reliable. Why or why not?
3. Describe how the use of that data matters as it relates to the interpretation of the data. Explain how that relates to the policy you selected.
4. Explain how statistical data be utilized in criminal justice policymaking.  

Include at least two peer-reviewed references. Format your paper consistent with APA guidelines. Submit your assignment.

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Solution

Comprehensive Addiction and Recovery Act

The Comprehensive Addiction and Recovery Act (CARA) is a program that seeks to help American communities fight opioid addiction at both the community and national levels. It also puts preventive measures to lower the number of people becoming opioid addicts and offering treatments for those already affected. The significance of fighting opioid addiction has seen CARA allocated an annual budget of $ 181 million. I support the program because it takes positive measures to stop the spread of the opioid epidemic.

The program’s data collection procedure is marred with several issues. One such issue is the use of different data collection procedures. The fact that the program covers the entire country means that communities in different states use varying data collection procedures. Thus, the diverse approaches lead to differences in how the program gathers data, thus leading to varying information possibilities. Various calls have been made to standardize the data collection activities for all communities.

Another issue regarding the data collection procedures with the CARA involves the participants’ ethical concerns. Issues of participant’s consent to participate in the opioid research and publication of the findings have been raised. The data collection procedure involved locating people at risk of falling addicts to opioid addiction and making them agree to participate in the program.

A case statistical analysis in CARA is seen in the number of people who have been granted access to buprenorphine as a treatment for opioid addiction. The policy allowed for different clinical waivers for nurses and physicians to use buprenorphine to treat opioid addiction. A 111% increase in the number of people waivered to use buprenorphine for treatment was recorded per every 100,000 nursing practitioners population between 2016 and 2019.

About half of the growth was directly linked to the 285 rural counties and 5.7 million people with access to the buprenorphine waiver (Barnett, Lee & Frank, 2019). The data is reliable because it would attain similar results if repeated. Almost the same number of people will be waivered to use buprenorphine to treat opioid addiction in the same regions. It is the nature to get almost similar results that make the data collection and analysis process reliable.  

The above-analyzed data is significant to the CARA, especially concerning opioid treatment. The data provides insights into some of the common medical substances used by the program. The realization of the many people who have benefited from buprenorphine points out that the medication is significant for its implementation.  The data indicates that the recovery process for people with opioid addiction can only be enhanced through better access to buprenorphine.

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Therefore, the government is tasked with ensuring good recovery for opioid addicts by providing medical practitioners with adequate quantities of buprenorphine to treat the condition. Likewise, policy-makers can use the data to enact preventive measures of the program. The CARA policy focuses not only on treatment but also on putting in place measures to prevent the spread of opioid addiction among American communities. The preventive measures can only be enacted by understanding the prevalence of opioid addiction in the country.

One such approach to get an insight into the prevalence is by understanding the number of people treated using buprenorphine. The information will also allow healthcare practitioners to question the affected individuals regarding different factors that might have led them to opioid addiction. Knowledge of the factors will inform policy-makers of the preventive measures to take, for instance, identifying the most affected communities based on participants’ respondents and encouraging educative sessions against opioid use in such areas.

Statistical data can be applied for diverse uses by criminal justice policy-makers. Data collection and analysis regarding criminal justice practices can be interpreted to enhance the quality of decisions meant to promote community safety. An excellent example of the application of statistical data in criminal justice is crime prevention. Policy-makers concerned with criminal justice might decide to collect data regarding a particular crime.

Data analysis of the crime might provide crucial information such as prevalence, areas, or time the activity is likely to occur. The data, therefore, inform policy-makers of ideal measures to take and curb the spread of the crime, having learned of its characteristics. Also, statistical information is applied to determine the relationship and causes of different crimes in the community. Certain factors are known to encourage various crimes. Analysis of criminal records is likely to pinpoint the multiple factors contributing to a particular crime and the associated repercussions.

The use of statistical data to determine the causes of crime, thereby allowing policy-makers to undertake the right decisions, is demonstrated in a study conducted by (Kegler, Dahlberg & Mercy, 2018). The study investigated homicide and suicide cases arising from firearm possession. It was established that the United States had reported about 27,394 homicides cases arising by firearms access to people aged 10 to 19 between 2015 and 2016. The number of firearms suicides for the same demographic population during the same period stood at 44,955.

The above statistics prove a relationship between homicide and suicide cases due to firearm access to people below 19 years. Therefore, policy-makers can use the information to lower homicide and suicide cases by reducing the possibility of young people accessing firearms. The information reveals the use of statistical data to determine the different relationships in a crime. It is by understanding the relationship in different crimes that policy-makers get better insights to prevent future occurrences.

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References

• Barnett, M. L., Lee, D., & Frank, R. G. (2019). In rural areas, buprenorphine waiver adoption since 2017 is driven by nurse practitioners and physician assistants. Health Affairs, 38(12), 2048-2056.
• Kegler, S. R., Dahlberg, L. L., & Mercy, J. A. (2018). Firearm homicides and suicides in major metropolitan areas—United States, 2012–2013, and 2015–2016. Morbidity and Mortality Weekly Report, 67(44), 1233.

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