Criminal Justice Data Research Articles

Risk of death after type of intimate partner violence (IPV) involvement

Abstract Background Most studies have focused on women’s intimate partner violence (IPV) victimization but perpetration and bi-directional violence remain understudied. Methods Using linked criminal justice and population registers in Manitoba, Canada, we assessed the risk of death according to the role in IPV incidents (accused-only, victim-only, bidirectional, none). In this retrospective matched cohort study, we assembled a cohort of 212,068 adults who were followed from April 2004 to March 2023 to assess IPV incidents and subsequent death. Those involved in an IPV incident were 1:3 matched to persons with no history of IPV based on birth year, sex and marital status at the time of the incident. Results Men comprised 85% of accused-only, 21% of victim-only, and 50-51% in the other two groups. Overall, compared to those without IPV involvement, the adjusted Hazard Ratios for all-cause mortality were 1.38 [95% Confidence Intervals (CI): 1.28, 1.49] for accused-only, 1.39 (1.29, 1.50) for victim-only and 1.45 (1.19, 1.77) for bidirectional IPV. The associations were stronger among women, particularly that of bidirectional violence [1.24 (0.97, 1.60) among men and 1.92 (1.39, 2.66) among women]. Similar patterns were found for intentional mortality [0.96 (0.56, 1.64) among men and 2.43 (1.27, 4.65) among women]. Conclusions There are clear sex inequities in IPV involvement. Any type IPV involvement is associated with higher risk of death, particularly among women, who comprise most of the victims. Key messages • Any type IPV involvement is associated with higher risk of death, particularly among women, who comprise most of the victim. • Use of linked criminal justice data allows studying the consequences of IPV victimization, perpetration and bidirectional violence and monitor gender inequities over time.

A population-based repeated cross-sectional study using administrative health data to examine the impact of the COVID-19 pandemic on mental wellness in citizens of the Métis Nation of Ontario

ObjectiveLinking data on people who experience drug overdoses can provide new insights and opportunities for intervention. However, because public health data infrastructure in the United States (US) is often siloed, linkage activities can require incentivization and support. In 2023, we began funding 20 states to conduct overdose-related data linkage. We sought to understand baseline capacity in funded states. ApproachData linkages in this project focus on two areas: 1) linking fatal and nonfatal overdose data and 2) linking fatal or nonfatal overdose data to prescription drug monitoring program (PDMP), criminal justice, or social determinants of health (SDOH) data. We report opportunities identified during implementation regarding states’ capacity to perform the required linkages as well as needs for additional training and technical assistance. ResultsOf 20 funded states, 11 (55%) reported some previous experience linking fatal and nonfatal overdose data; 10 (50%) have linked PDMP data, while only 3 (15%) have linked SDOH data and 2 (10%) criminal justice data. Jurisdictional needs included: training on data linkage methods, including developing and validating linkage algorithms; overcoming administrative barriers to data sharing, such as data use agreements; and developing standardized approaches to characterizing events of interest in diverse data sources. States valued sharing strategies and experiences with each other. Conclusions/ImplicationsAdditional capacity building is needed for states to successfully link and utilize overdose-related data. We are actively collaborating with state partners to facilitate peer-to-peer knowledge exchange to develop successful linkage programs.

Risk of death after type of intimate partner violence (IPV) involvement

Objective and ApproachMost studies have focused on women’s IPV victimization but perpetration and bi-directional violence remain understudied. Using linked criminal justice and population registers in Manitoba, Canada, we assessed the risk of death according to the role in IPV incidents (accused-only, victim-only, bidirectional, none). In this retrospective matched cohort study, we assembled a cohort of 212,068 adults who were followed from April 2004 to March 2023 to assess IPV incidents and subsequent death. Those involved in an IPV incident were 1:3 matched to persons with no history of IPV based on birth year, sex and marital status at the time of the incident. ResultsMen comprised 85% of accused-only, 21% of victim-only, and 50-51% in the other two groups. Overall, compared to those without IPV involvement, the adjusted Hazard Ratios for all-cause mortality were 1.38 [95% Confidence Intervals (CI): 1.28, 1.49] for accused-only, 1.39 (1.29, 1.50) for victim-only and 1.45 (1.19, 1.77) for bidirectional IPV. The associations were stronger among women, particularly that of bidirectional violence [1.24 (0.97, 1.60) among men and 1.92 (1.39, 2.66) among women]. Similar patterns were found for intentional mortality [0.96 (0.56, 1.64) among men and 2.43 (1.27, 4.65) among women]. ConclusionsThere are clear sex inequities in IPV involvement. Any type IPV involvement is associated with higher risk of death, particularly among women, who comprise most of the victims. ImplicationsUse of linked criminal justice data allows studying the consequences of IPV victimization, perpetration and bidirectional violence and monitor gender inequities over time.

International Criminal Justice Data in Bangladesh: A Scoping Review

Abstract Bangladesh gained its independence from Pakistan in 1971 after a nine-month long war. The Pakistani military and local collaborators carried out brutal operations on Bangladeshi civilians during the period of 25 March to 16 December 1971, which caused genocide, crimes against humanity, and war crimes. This scoping review synthesises the data related to laws, policies, institutions, and culture of Bangladesh surrounding victims, their families, and perpetrators of the aforesaid crimes. Bangladesh faced questions in prosecuting the local collaborators of the Pakistani military at the domestic tribunal, whilst Pakistani war criminals have not yet been tried, and there is still no international consensus on recognising the genocide. On the other hand, the lack of an internationalised judicial response further indicates that no sincere effort has been made to establish a global post-conflict resolution that transcends the regional parties involved in this matter.

Where is the risk? Inter-reality comparison study of multiple-perpetrator rape assailants in Spain

This research paper aims to shed a critical light on the moral panic surrounding multiple-perpetrator rape (MPR) in Spain, by exploring the interplay between official statistics of this type of crime, and the depiction in the media. The concordance between media representation and the statistical reality of crime raises questions: (1) how multiple perpetrator assault and its assailants are represented in media narratives (content analysis) is examined, including the content, framing, and underlying themes within the media coverage, with a particular emphasis on the role of nationality, and (2) this representation is compared to official crime statistics (Ministry of Home Affairs report on crimes against sexual freedom and indemnity in Spain (detentions/accused) and the statistics of the sentences passed by various Spanish Provincial Courts between 2005 and 2020 from criminal justice data), and to what extent, they align. If they do not align, do news portrayals influence a moral panic? In conclusion, the idea of tabloid justice (Fox et al., 2001) is not present in the three largest Spanish daily newspapers from 2005 to 2021. There is a misrepresentation of non-Spanish nationalities having the highest rates, Romanians being underrepresented and the French being overrepresented. Media coverage perceives tourists as a certain danger, and is questioning the idea of certain non-Spanish immigrants as ‘folk devils.’

The (mis)measure of race and ethnicity in crime data

The measurement of crime in the United States is one that has constantly evolved since national efforts began in 1930. However, the measurements of victim and offender characteristics, specifically race and ethnicity, have not developed at the same pace, nor as rapidly for crime data as it has for other fields. This paper examines two primary criminal justice data sources, the Uniform Crime Reports (UCR) and the National Incident-Based Reporting System (NIBRS) and compares them for context to the United States Census. Analysis shows that the Census has continually expanded racial and ethnic categories while the crime data instruments have mostly refined them only by name. The paper concludes with suggestions for revision of the crime data collection instruments, specifically NIBRS, and a discussion of research and policy implications.

형사 전자소송과 형사사법정보

This essay aims to review the criminal justice data from the point of digitalization of the criminal justice process and electronic criminal trial, which is to be put into practice by the year of 2024.
 The Act on Promotion of the Digitalization of the Criminal Justice System of 2010, amended in 2021 has been enacted to achieve promptness, fairness and transparency in a criminal justice procedure by promoting the digitalization of the criminal justice procedure and to contribute to the extension of citizens’ rights and interests by improving services to citizens in the area of criminal justice. In related to the 2020 Act, the new Act on the Use of Electronic Documents in the Criminal Justice System of 2021 was enacted to implement electronic criminal trial.
 The term “criminal justice information” means any information that is generated, acquired, or managed by a criminal justice agency through a criminal justice information system in relation to the conduct of criminal justice affairs, and that is expressed in the form of codes, letters, voice, sound, images by means of electronic processing, and the term “criminal justice information system” means an electronic management system built on combining hardware, software, databases, networks, security components, etc. for the use by a criminal justice agency to generate, acquire, store, transmit, or receive criminal justice information. When the criminal justice information are digitalized, they will be “Criminal Justice Data”, which will be the basis of digital criminal justice.
 For the digitalization of criminal justice process, criminal justice agencies have both duty to cooperate for stable operation of systems, and duty to cooperate in joint use of information. The keys to the successful implementation of digital criminal justice system and the development of the future electronic criminal trial are the organization of cooperative system for the Criminal Justice Information System, and the promotion of attentionability to human rights and security in the matters of criminal justice data.

Social Work Research Using Electronic Health Records and Criminal Justice Data: Recommendations and Lessons Learned

Previous articleNext article No AccessSocial Work Research Using Electronic Health Records and Criminal Justice Data: Recommendations and Lessons LearnedBriana Barocas, Rei Shimizu, and Sejung YangBriana Barocas Search for more articles by this author , Rei Shimizu Search for more articles by this author , and Sejung Yang Search for more articles by this author PDFPDF PLUS Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmail SectionsMoreDetailsFiguresReferencesCited by Journal of the Society for Social Work and Research Just Accepted Published for the Society for Social Work and Research Article DOIhttps://doi.org/10.1086/723609 Views: 20Total views on this site HistoryAccepted October 26, 2022 PDF download Crossref reports no articles citing this article.

Understanding Sexual Assault Survivors’ Perspectives on Archiving Qualitative Data: Implications for Feminist Approaches to Open Science

The open science movement has framed data sharing as necessary and achievable best practices for high-quality science. Feminist psychologists have complicated that narrative by questioning the purpose of data sharing across different paradigms, methodologies, and research populations. In these debates, the academic community has centered the needs and voices of researchers, and participants’ perspectives are largely missing from this literature. In this study, we sought to understand how research participants feel about sharing qualitative data on a sensitive subject—sexual victimization. As part of a participatory action research project, we conducted qualitative interviews with sexual assault survivors about their post-assault help-seeking experiences. The federal funding agency that supported this project requires researchers to archive de-identified data in a national data repository (the National Archive of Criminal Justice Data [NACJD]). All participants consented to archiving data, and the vast majority expressed positive views about data sharing because they wanted to help other survivors. Participants emphasized that our participatory action research approach and our stated goal of helping survivors were important considerations in their decisions regarding data sharing. Researchers should obtain informed consent from their participants for data sharing/archiving, and discuss their dissemination plans during the informed consent process.

CRIMINAL JUSTICE DATA ANALYSIS FOR UNDERSTANDING CHARACTERISTICS OF PERPETRATORS IN CHILD SEXUAL ABUSE WITHIN THE FAMILY- A STUDY ON REPORTED CASES IN A DISTRICT OF DELHI

It may be discerned that the responsibility of the abuse lies fully with the adult (the perpetrator or the offender) who sexually victimizes the child. All the explanations regarding why and who engages in sexual activity with children revolves mostly around the psychology of the offender indicated in various related texts. The personality of the offenders who indulge in sexual activity with children was thought to be inflicted with psychological abnormalities, which may result in an inappropriate sexual interest in children. The perspective in terms of the profile of offender in such cases become important for understanding the social reality surrounding the problem of incest against children. Criminal Justice data indeed helps providing an insight into the nature of such cases reported and relating factors. The present work entails the information constellated from the actual incidences in one of the districts in Delhi (India), with the knowledge base for developing clarity on the problem of intra-family child sexual abuse. The author also uses Routine Activity Theory as theoretical framework for criminological insights into the problem under study. Lastly, the author presents the findings for mechanizing the possibilities towards prevention of such offences in context of offenders.

Examining the health and criminal justice characteristics for young people on compulsory community treatment orders: An Australian birth cohort and data linkage study

BackgroundMost studies on the predictors and effectiveness of community treatment orders (CTOs) are restricted to health-related variables and do not consider forensic contacts as established by criminal justice databases or predictors from birth. We used linked administrative health and criminal justice data for a birth cohort in Queensland, Australia to investigate the characteristics and outcomes of people placed on CTOs. MethodsCTOs were identified from administrative data for hospital admissions and community mental health service contacts for a population cohort of 45,141 individuals born in Queensland in 1990. These data were linked with administrative court records, with individuals followed up to age 23/24 years. Logistic regression analyses were used to examine characteristics associated with CTO placement and Tobit regression analyses to examine factors predicting health and criminal justice outcomes in the following year. ResultsThere were 211 CTO cases by age 23/24 years, for whom it was possible to identify 413 controls on voluntary treatment. Non-affective psychoses [F20-F29] were the strongest predictors of CTO placement (ORadj = 4.07, 2.77–5.99) followed by a court appearance (ORadj = 1.99, 1.28–3.09). CTOs were associated with greater, not lower, subsequent psychiatric hospital admissions, inpatient bed-days and community mental health service contacts, although on sensitivity analyses psychiatric hospital admissions were the same as voluntary controls. CTOs were not associated with more subsequent court appearances despite higher rates of offending before CTO placement. ConclusionsBoth clinical and forensic variables can determine CTO placement and, on adjustment for these covariates, CTOs were not associated with reductions in psychiatric hospital admission, time spent as an inpatient, or subsequent court appearances. The latter finding might mean that CTOs reduce the risk of offending to that of voluntary controls.

A randomized clinical trial of acceptance and commitment therapy and the Duluth Model classes for men court-mandated to a domestic violence program.

This is the first randomized controlled trial to compare Acceptance and Commitment Therapy (ACT) with the Duluth Model curriculum, which took place in community-based corrections for the treatment of men convicted of domestic violence. ACT is a third-wave cognitive-behavioral approach that utilizes experiential methods to foster psychological flexibility. The Duluth Model curriculum is an educational approach grounded in feminist theory that focuses on changing attitudes toward women and unlearning power and control motivations. This trial was preregistered at ClinicalTrials.gov (registration number: NCT03609801). This study included 338 men who were court-mandated to complete a domestic violence program after being convicted of assault against a female partner. Participants were randomized to complete the 24 sessions of the ACT program or the Duluth Model Men's Nonviolence Classes. Outcomes included criminal justice data (domestic violence charges, other violent charges, and nonviolent charges) incurred during the 1 year following program dropout or completion, and victim reports of intimate partner violence (IPV; aggression, controlling behaviors, and stalking/harassment). In intent-to-treat comparisons to Duluth, ACT participants did not show a difference in domestic assault charges at 1 year posttreatment (p = .44). ACT participants acquired significantly fewer violent charges (p = .04) and nonviolent charges (p = .02) compared to Duluth participants. Data from victims indicated that victims of ACT participants reported significantly fewer IPV behaviors than victims of Duluth participants on the Conflict Tactics Scale (d = .78), the Controlling Behaviors Scale (d = .66) and the Stalking Behavior Checklist (d = .71) at 1 year posttreatment. An ACT-based group intervention delivered in community corrections reduced violent and nonviolent criminal charges compared to the Duluth classes. Domestic violence charges did not differ between groups but victim reports indicated that ACT participants engaged in fewer IPV behaviors. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Trends in opioid-related crime incidents and comparison with opioid overdose outcomes in the United States.

The opioid epidemic in the United States remains a critically important public health issue and continues to worsen. While healthcare data and outcomes are commonly used to characterize the state of the epidemic and evaluate the impact of policy changes, criminal justice data is under-utilized in research despite its high relevance and unique role in the opioid crisis. Our objective is to understand temporal trends in opioid-related crime incidents and the comparability with the dynamic patterns in health-related outcomes. We used incident-level crime data from the National Incident-Based Reporting System (NIBRS) during 2005-2018. We identified all incidents involving opioids, which were grouped by opioid type (illicit and prescription opioids), and by drug-related criminal activity (possession and distribution). We estimated annual opioid-related crime incident rates per 100,000 residents. Joinpoint analysis was performed to examine the significant changes in the temporal trends of crime incident rates. We examined the association between opioid-related crime incidents and health outcomes using state fixed effects regression models. Among the NIBRS covered population, incident rates of all opioid-related crimes increased significantly from 32.0 to 91.4 per 100,000 between 2005 and 2016, followed by a moderate decrease to 78.3 per 100,000 by 2018. The initial increase in incident rates was predominantly driven by prescription opioid-related incidents which increased by 19.6% per year from 2005 to 2010. Between 2010 and 2015, most of the increase came from illicit opioid-related incidents which accelerated to an increase of 21.6% per year. Opioid-related crime incident rates were found to be significantly and positively associated with rates of opioid-related emergency department visits, inpatient hospitalization, and overdose mortality. Crime data describe temporal trends and shifting patterns in the opioid epidemic that are highly consistent with health-related data. Criminal justice data could be a potentially powerful tool to understand the changing landscape of opioid and substance use.

Changing Patterns in Violent Victimization: An Exploration of Causes and Correlates of the Narrowing Gender Gap (1973–2018)

Historically, violent male victimization has been substantially higher than females, but since the 1970s has declined toward near gender parity. The purpose of this exploratory study was to identify causes or correlates for this unprecedented change. Victimization data (NCS/NCVS, 1973–2018) were combined with social, economic, behavioral, and criminal justice data from eight sources to examine longitudinal trends using time series (ARIMA) and panel data modeling. Results show that the narrowing of the gender victimization ratio was not a direct byproduct of changes in crime but was correlated with lower high school dropout rates, improved economic conditions, more women in the workforce, and increased numbers of police officers. Further research is needed to identify specific causal mechanisms related to these variables.

Jumpstarting the Justice Disciplines: A Computational-Qualitative Approach to Collecting and Analyzing Text and Image Data in Criminology and Criminal Justice Studies

Computational methods are increasingly popular in criminal justice research. As more criminal justice data becomes available in 'big' and other digital formats, new means of embracing the computational turn are needed. In this article, we propose a framework for data collection and case sampling using computational methods, allowing researchers to conduct thick qualitative research – analyses concerned with the particularities of a social context or phenomenon – starting from big data, which is typically associated with thinner quantitative methods and the pursuit of generalizable findings. The approach begins by using open-source web scraping algorithms to collect content from a target website, online database, or comparable online source. Next, researchers use computational techniques from the field of natural language processing to explore themes and patterns in the larger data set. Based on these initial explorations, researchers algorithmically generate a subset of data for in-depth qualitative analysis. In this computationally driven process of data collection and case sampling, the larger corpus and subset are never entirely divorced, a feature we argue has implications for traditional qualitative research techniques and tenets. To illustrate this approach, we collect, subset, and analyze three years of news releases from the Royal Canadian Mounted Police website (N = 13,637) using a mix of web scraping, natural language processing, and visual discourse analysis. To enhance the pedagogical value of our intervention and facilitate replication and secondary analysis, we make all data and code available online in the form of a detailed, step-by-step tutorial.

In the shadow of 9/11: How the study of political extremism has reshaped criminology*

AbstractWhite‐collar crime and illegal political extremism share several characteristics with relevance to criminology. Neither is associated with lower socioeconomic status individuals, both involve perpetrators that rarely see themselves as criminal, and both face unique data challenges. Following Edwin Sutherland's influential research, the study of white‐collar crime became a recognized specialization within criminology. Similarly, following the coordinated attacks of September 11, 2001, political extremism became increasingly accepted as a legitimate research topic in criminology. I explore several ways that the study of terrorism has influenced criminological research and how responses to terrorist attacks since 9/11 can help us understand policing. Terrorism research has vividly illustrated the socially constructed nature of crime, has encouraged researchers to see not only the deterrence potential of punishment but also its capacity to produce backlash, has accelerated cross‐national criminology research, and has hastened the embrace of open sources as an important form of criminal justice data. Changes in policing following 9/11 and the resulting war on terror also provide critical insights into the extent to which policing depends on community trust and legitimacy. As with the embrace of white‐collar crime nearly a century ago, mainstream criminology has been enriched by widening its scope to include political extremism.

Reducing recidivism through restorative justice: an evaluation of Bridges to Life in Dallas

We employed a quasi-experimental design to assess the effect of participation in Bridges to Life (BTL), a restorative justice program, on reincarceration. Drawing from Texas Department of Criminal Justice data, we used propensity scores to match a sample of 296 participants with a comparison non-participant group of 296 parolees. We compared reincarceration rates after 1 and 3.5 years. Results generally support the proposition that parolees who participated in BTL had lower rates of reincarceration. Restorative justice-based programs seem to work for reducing reincarceration rates among parolees and this reduction effect is found for both overall crime and violent crime.

Why and How We Need to Fill Criminal Justice Data Gaps

For the past 50 plus years the United States has been debating the very nature of our criminal justice system. Are we too lenient? Are we too vindictive? Do we give too much power to our cops and prosecutors or too many protections to defendants? But maybe most important, is there a better way? Can we ensure we have both safety and dignity built into our system? These questions are extremely difficult for law makers to answer because of the moral implications involved with crime and punishment, but also because of one glaring weakness: data sharing and reporting. We simply do not have comprehensive data collection systems for policy makers to draw on to design interventions that can protect public safety and help heal community wounds. While there is no silver bullet that will fix these problems, we believe attention should be paid to: 1) fixing inconsistencies in key terms so data collection can be universal, 2) fixing the issues with delayed reporting so the data we have is up to date for researchers and policy makers, and 3) addressing issues with inadequate and inconsistent data storage so not only will the data be available but assessable to those who can use it to improve the system.

Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach.

Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with health claims data to capture the social determinants of overdose risk. This prognostic study included Medicaid beneficiaries (n = 237,259) in Allegheny County, Pennsylvania enrolled between 2015 and 2018, randomly divided into training, testing, and validation samples. We measured 290 potential predictors (239 derived from Medicaid claims data) in 30-day periods, beginning with the first observed Medicaid enrollment date during the study period. Using a gradient boosting machine, we predicted a composite outcome (i.e., fatal or nonfatal opioid overdose constructed using medical examiner and claims data) in the subsequent month. We compared prediction performance between a Medicaid claims only model to one integrating human services and criminal justice data with Medicaid claims (i.e., integrated model) using several metrics (e.g., C-statistic, number needed to evaluate [NNE] to identify one overdose). Beneficiaries were stratified into risk-score decile subgroups. The samples (training = 79,087, testing = 79,086, validation = 79,086) had similar characteristics (age = 38±18 years, female = 56%, white = 48%, having at least one overdose = 1.7% during study period). Using the validation sample, the integrated model slightly improved on the Medicaid claims only model (C-statistic = 0.885; 95%CI = 0.877–0.892 vs. C-statistic = 0.871; 95%CI = 0.863–0.878), with small corresponding improvements in the NNE and positive predictive value. Nine of the top 30 most important predictors in the integrated model were human services and criminal justice variables. Using the integrated model, approximately 70% of individuals with overdoses were members of the top risk decile (overdose rates in the subsequent month = 47/10,000 beneficiaries). Few individuals in the bottom 9 deciles had overdose episodes (0-12/10,000). Machine-learning algorithms integrating claims and social service and criminal justice data modestly improved opioid overdose prediction among Medicaid beneficiaries for a large U.S. county heavily affected by the opioid crisis.

Impacts of electronic monitoring on the community life: blessing or disguise?

PurposeThe purpose of this paper is to identify and evaluate critically the impacts associated with the implementation of electronic monitoring (EM) of accused and convicted persons on society based on the foreign experience and compare these findings with the original research results on EM in the Slovak Republic.Design/methodology/approachThis paper elaborates the secondary data of previous researches in Scotland, Sweden and Florida in the USA. Secondary research is based on in-depth analysis of articles, reports and studies searched via database of Google, Scopus and Science Direct. Based on the studies processed by a causal and qualitative analysis, the authors identify the benefits and risks of EM influencing community life in Europe and the USA. The additional sources of secondary data are the Statistical Yearbook of Ministry of Justice of Slovak Republic, the content of the original law (including relevant amendments) that introduced EM into the Slovak criminal justice system and data on the application of EM in Slovakia provided by the Ministry of Justice. Subsequently, this paper presents the original research findings about the EM implementation in the Slovak Republic. The primary data were conducted via interviews with the representatives of Ministry of Justice, and through the national survey of opinions of judges, probation and mediation officers. The authors used the descriptive statistics and the statistical deduction methods.FindingsThe key finding of the paper is that there is a very narrow border between EM as blessing and disguise for community involved. Setting proper measures to protect the community, targeted communication and support with attendance of professionals (e.g. mediator and psychologist) for community members might help to avoid possible risks and support the benefits related with EM implementation, namely, social and economic inclusion of offenders, maintaining family and community tights, reducing recidivism or protection of sensitive sites.Practical implicationsTo support the acceptation of EM by local community, the authors recommend to perceive sensitively community involvement and consider potential risks related with EM implementation; to suggest the proper measures to protect the community; and to develop better or targeted communication oriented towards increasing awareness or establishment supporting groups with attendance of professionals (e.g. mediator and psychologist) that might help to avoid possible risks and support the benefits related with EM implementation.Originality/valueThis paper compares experience with EM based on the secondary data of previous researches in Scotland, Sweden and Florida in the USA. Subsequently, it presents the unique data about the implementation of EM in the Slovak Republic. The topic of EM is still vastly underrated in the literature, and there is a lack of empirical data, so this paper as a combination of case studies and original research could be very helpful in the efficient implementation of EM and setting the proper measures.