Foreword | Seizing drugs and arresting those who import, manufacture, grow and/or distribute these drugs is often viewed as the most important purpose of drug law enforcement. This view is certainly strong in popular media depictions of organised drug criminals. Unfortunately, the reality is perhaps far less entertaining or straightforward, although just as, if not more, important. While there is no doubt that a key role of drug law enforcement is to remove drugs and high-risk offenders from the community, the most critical factor is what this actually achieves in the longer term. That is, a community that is less burdened by the impact of drugs, such as crime, illness, injury and death. Show
Increasingly, there is both internal and external pressure on drug law enforcement to demonstrate not just how much work they do (the seizures and arrests), but how well they do it (the community impacts)—something that has so far proven very difficult. This paper outlines the nature of these challenges and summarises findings from a national project that shows a practical and effective way forward in measuring the impacts of drug law enforcement. Adam TomisonDirector Measuring the impact of drug law enforcement (DLE) practice on illicit drug markets is a notoriously difficult task. Conventional approaches to assessing DLE performance focus on the use of drug seizure and arrest data. However, these data say more about the extent to which police engage in certain types of activities and allocate resources than they do about DLE effectiveness because offences relating to illicit drugs are far more likely to be detected by law enforcement agencies than reported to them. As such, the more effort and resources DLE invest in detecting illicit drugs, the more likely it is that drugs will be seized. On the one hand, DLE can potentially claim success for not seizing any drugs—that is, based on the absence of seizures and arrests, it could be argued that there is no drug problem. Conversely, a lack of seizures and arrests could lay police open to substantial criticism for failing to address the drug problem. Aside from this, traditional measures say little about the complexities of DLE work and the broader impacts of law enforcement effort. For example, they cannot provide an assessment of the full impact of DLE in producing something of value for communities, such as making communities feel safer and more secure, which is something that Australian DLE personnel view as an important outcome of their work (Willis, Homel & Gray 2006). The volume of crime is but one measure that can be considered in the broader assessment of the quality of work done by law enforcement. A range of appropriate measures that captures the complexities of law enforcement work can:
Supply and use of illicit drugs are, by their largely clandestine nature, a hidden phenomenon that can only be monitored through use of indirect indicators linked to observable consequences, such as crime, drug-related illness, injury and death. The use of these types of multidisciplinary indicators to monitor and measure law enforcement performance is gaining increasing acceptance here in Australia and elsewhere as there is greater recognition that arrest and seizure data alone are unsatisfactory when interpreted in isolation from other factors (Castle 2008; Kilmer & Hoorens 2010; Osnick Milligan & Fridell 2006; Rossi 2001; Weatherburn 2000). This paper summarises key findings, both conceptual and practical, from the second stage of a major national project that sought to test the feasibility of a model performance measurement framework for Australian DLE agencies and to provide advice on its national implementation (Willis, Homel & Anderson 2010). As such, it does not provide an overview of the effectiveness of DLE in Australia. The first project stage involved development and preliminary testing of the initial performance measurement framework. Trends & Issues no. 332 (Homel & Willis 2006) includes a summary of the project’s rationale and development and so this is not repeated in this paper in detail. Both project stages were undertaken by the Australian Institute of Criminology (AIC) on behalf of the National Drug Law Enforcement Research Fund. The framework: Conceptual issuesThe rationale behind the use of the framework as a DLE performance measurement tool is that the framework’s measures address a combination of supply and demand market issues. The framework’s premise is that DLE impacts on both of these. In theory, illicit drug supply is reduced through action such as controls on drug production and distribution, seizures and the arrest (and ultimately incarceration) of those involved in the importation, production and distribution of illicit drugs (for a detailed summary of supply-side controls see Willis, Homel & Gray 2006). In essence, the aim of supply-side DLE is to disrupt the supply or availability of illicit drugs, thereby increasing the costs and risks associated with drug importation and distribution. The aim of demand-side DLE is to reduce the level of demand for illicit drugs within the general community. Demand-side DLE is primarily directed at the drug user. The rationale behind demand-side DLE is that, even if DLE agencies are unable to increase the financial cost of illicit drug use or restrict its availability, they can increase the non-monetary costs associated with its use. So, as the level of inconvenience, time, risk or cost of trying to find a drug seller increases, more drug purchasers are tempted to leave the illicit drug market (for example by entering treatment) while those who remain tend to use illicit drugs less frequently (Weatherburn et al. 2000). This then has clear flow-on effects in terms of reducing public harms. The core components of the model performance measurement framework developed by this project are built on this premise and address the following four high-level outcome areas for DLE:
Each of the four outcomes is interrelated and as such, they are not discrete areas. In other words, activities specifically targeting a reduction in drug and drug-related crime could also influence the other three high-level outcomes. Each outcome area is underpinned by a series of appropriate measures and indicators (see Table 3 for a full list of these) that seek to:
Although the high-level outcomes and measures are essentially prescriptive, the indicators can be tailored to suit different jurisdictional monitoring and reporting needs. For example, where the framework suggests the use of an incidence-based count (such as the number of cannabis traffic/supply arrests), an offender-based count can be substituted (such as the number of offenders processed for cannabis traffic/supply offences). In this way, the basic intent and integrity of the core framework elements are maintained, while also allowing for local data recording conventions. Since development of the initial framework in 2006, a considerable amount of work on improving law enforcement performance measurement has been undertaken in Australia and overseas. In contrast to Australia, where developments have focused primarily on DLE performance measurement, overseas work has concentrated on performance measurement in law enforcement more generally. Despite this difference, both approaches advocate the importance of developing measurement systems that:
It was these principles that guided the development of the DLE performance measurement framework. Feasibility of the framework: Some practical considerationsKey stakeholder inputThe second stage of this project had three overall objectives:
To re-establish the framework’s goals and relevance to contemporary DLE efforts and priorities, the framework was reviewed and refined at a national planning and development workshop convened by the AIC. Representatives at the workshop included key DLE practitioners, as well as experts from other relevant fields, such as the health sector. The validity and relevance of the framework was also further explored during stakeholder consultations as part of project fieldwork. Field testing the frameworkFollowing the planning and development workshop and stakeholder consultations, in-depth testing of the model performance measurement framework was undertaken in four field locations. These test sites were located within Australian Customs and Border Protection Service (ACBPS), Victoria Police, South Australia Police and at Tasmania Police. Field findings demonstrated that the framework can be applied at national and state/territory DLE levels—this is both in terms of its practical application (ie availability and applicability of the indicator data) as well as its use as a performance measurement tool. Indeed, each of the jurisdictions that participated in the field study already used many of the framework measures, including drug-related public health measures, although usually informally and inconsistently. In addition, where regular drug market monitoring and review did take place within jurisdictions, it occurred within existing agency accountability processes and structures (for instance, in unit and operational command review/COMPSTAT processes). This was an important finding as it supports a key recommendation from the first project stage that the framework be embedded in existing accountability processes to facilitate its uptake. Indicator data strengths and limitationsFieldwork findings supported application of the model framework within agencies with a national DLE focus through to those with a local DLE focus. However, it is clear that there are data limitations in some jurisdictions that mean that certain DLE agencies are better positioned than others to use the framework for regular performance monitoring, measurement and reporting. For instance, all of the field agencies used a range of information from sources external to their agencies (including drug-related public health data). However, with one exception, this information did not form part of any formal performance measurement processes and there were no explicit arrangements with third parties to regularly capture this information. This latter point is probably the biggest potential obstacle for full implementation of the framework. Victoria Police’s drug market analytical tool (their Drug Attribution Model or DAM) provides a useful case study for how to operationally formalise the capture and reporting of a broad range of indicator data that is similar to the framework described here. With the exception of one jurisdictional health agency, the AIC was able to obtain de-identified quarterly or annual data from each of the health agencies in the field locations via no more than an exchange of correspondence at the executive level. Although the AIC’s requirements were for a once only research project, it demonstrates that health agencies can be receptive to law enforcement agencies accessing these data, providing there is full disclosure as to precisely why, and in what way, the data will (and will not) be used. This finding was supported by the views of the health representatives at the project’s national workshop, where they indicated that there was need for frank data exchange so that both sectors could effectively monitor changes within the illicit drug environment, including new and emerging issues. Another aspect of the framework’s feasibility rested heavily on the ability to collect and interpret the identified indicator data. Most data identified for the framework were obtained from law enforcement and health agencies’ administrative collections, which are largely designed to monitor agency output. Common limitations across these data collections include limitations in scope (ie limited to narrowly prescribed criteria), changes in collection methods over time, a lack of stringent quality checks for missing or incorrectly entered data and having long lags between an incident being reported and recorded (see Willis, Anderson & Davis 2010 for a more detailed overview of the limitations). Survey data used (such as from the Drug Use Monitoring in Australia (DUMA) and Illicit Drug Reporting System (IDRS) collections) were able to fill some knowledge gaps. However, they were also restricted at times by factors such as small sample sizes (thus affecting the ability to monitor trends effectively), the collection of data focusing almost exclusively on metropolitan locations (so do not necessarily reflect the nature of regional and rural drug markets) and that they may represent specific sub-groups (eg police detainees) rather than the broader population (Willis, Homel & Gray 2006). Neither the administrative nor survey data collections alone are able to measure the more complex issues of performance success and failures. This, coupled with the limitations described, underscore the importance of using multiple appropriate measures and indicator data to minimise the risk of erroneously identifying drug market trends. Use of data collection plansTo obtain a clear and informed assessment of the most appropriate data sources to be used, the AIC developed and tested a ‘data collection plan’ (Table 1). The data collection plan needed to consider factors such as:
The data collection plan used during fieldwork ensured that each data source was able to provide enough information for each indicator source. Use of this method reduced the risk of including unrealistic or difficult to measure indicators.
Source: Willis, Homel & Anderson 2010 The framework as an effective performance measurement toolIn the absence of direct measures of DLE effectiveness, the suite of measures and indicators outlined in the framework provide a broad platform upon which the impact of drug seizures and arrests can be systematically assessed over time. To illustrate this general point, two scenarios are provided in Table 2 relating to two hypothetical drug markets. The arrows describe how each market scenario is trending.
Under the first scenario (drug market A), DLE effort (ie seizures and arrests) is stable but public harms are increasing (ie there is increasing drug purity, availability, drug-related deaths and hospitalisations, and there is an increasing concern among the community about drugs). This might suggest that DLE is not performing well and needs to take remedial action by redirecting appropriate resources. Under the second scenario (drug market B), DLE effort is increasing and public harms are decreasing, although community concern is constant. This might suggest that DLE is performing well, although it may also suggest that DLE needs to review current resourcing priorities and re-deploy surplus capacity to other areas of greater need. These hypothetical examples are simplistic and used here to briefly illustrate how the framework can be applied and how DLE data can be interpreted within a broader context to assess performance and inform strategic decision making. As such, they do not include the full range of suggested framework measures, nor do they cover the range of complexities and other contexts (such as the impact of environmental factors such as policy changes, police resource commitments, underlying changes in different drugs markets and so on) that may influence an interpretation of the indicator data trends and any conclusions made. In reality, consideration of the breadth of contextual factors is crucial in any assessment of DLE activity. Furthermore, in reality, not all indicator data move in an expected direction and some can be quite perverse for no discernable reason; however, what is important is the overall pattern. That is, if most of the indicator data point to a market change (or lack thereof) then it increases the reliability of inferences made about that data. It is this long-run trend information that is important and which is more meaningful and indicative of substantive market change. This is why it is necessary to monitor and compare data over the long term. The framework reflects what is considered, on the basis of detailed testing at the four sites, a reasonable suite of measures and indicators upon which to assess DLE performance at this stage. Although outside the scope of this summary paper, and as noted above, issues to do with indicator data strengths and limitations (including availability, completeness, geographic coverage, lag problems and so forth) are outlined in detail in Willis, Anderson and Davis 2010. There are no pretensions that the framework is perfect—other measures and indicators could be considered for inclusion and probably will in the future should the framework be widely adopted. For example, it would be possible to combine the price and purity indicator data to form a single metric that monitors changes in price-adjusted purity levels. Similarly, inclusion of a metric covering police assets confiscation may be useful in the broader assessment of police impact on organised crime. However, the most critical point here is that in the absence of other more direct measures of DLE effort, the framework provides a sound basis for a more effective and systematic means of monitoring and reporting DLE performance than is currently undertaken by most DLE agencies.
Implementing the framework: Important considerationsEven a viable performance measurement framework may be difficult to implement. For this reason, one of the key outputs for the second project stage was the development of a comprehensive implementation plan, including the development of resources to assist in the national roll-out of the framework. Project fieldwork experiences, a review of the literature and consultation with DLE professionals assisted in the development of this implementation plan and a series of key implementation issues were identified. These were:
However, there were also some general lessons learned from this work that need to be considered if national implementation of the framework is to be undertaken. These include the requirement that:
ConclusionThe implementation trial demonstrated that the DLE performance measurement framework is a viable mechanism for improving the capacity of DLE agencies across Australia to better account for their effectiveness as well as a useful tool that contributes to Australia’s National Drug Strategy’s goals of reducing drug-related harm, demand and supply. In addition:
Taken as a whole, the project findings suggest that a number of things should occur if a decision were made to undertake national implementation of the framework. These are as follows:
AcknowledgementsThis project was undertaken with a grant from the National Drug Law Enforcement Research Fund, which is funded by the Australian Government Department of Health and Ageing. The full report, Developing the Capacity and Skills for National Implementation of a Drug Law Enforcement Measurement Framework is available at http://www.ndlerf.gov.au/pub/Monograph_34.pdf References
About the authorsDr Katie Willis is a Senior Research Analyst, Jessica Anderson is a Research Analyst andPeter Homel is Program Manager Crime Reduction and Review |