Situational deterrence and claim padding: results from a randomized field experiment

While it is generally argued that threats of legal sanctions are more effective with offenders involved in economic crimes than with delinquents committing more conventional crimes, such an affirmation rests on weak empirical evidence. Also, most studies supporting this proposition were conducted with non-experimental designs, thus, undermining the interval validity of the results. On the other hand, studies base their predictions on individual factors and do not incorporate contextual factors. To overcome those limitations, a randomized field experiment was implemented in four insurance companies to incorporate contextual factors into the dynamics of deterrence. This study assessed the effect of a written threat (a deterrent letter reminding insured persons of the punishment for insurance fraud) on claim padding behaviours of insured persons filing claims for residential theft. A deterrent-letter project was implemented in four insurance companies, with claims randomly assigned to the experimental or the control group. Cases belonging to the control group were managed as usual, while individuals in the experimental group received the written threat. The experimental design made sure that the deterrent stimulus was exactly delivered to the insured persons when they had the opportunity to exaggerate the value of their claims. Findings demonstrate that claimants in the experimental group were less likely to pad their claims than were those in the control group. The letter was effective, regardless of the means of delivery. In conclusion, the administration of a written threat at the moment of criminal opportunity appears to be an effective strategy for preventing economic crimes.

A steroidomic approach for biomarkers discovery in doping control

Anti-doping authorities have high expectations of the athlete steroidal passport (ASP) for anabolic-androgenic steroids misuse detection. However, it is still limited to the monitoring of known well-established compounds and might greatly benefit from the discovery of new relevant biomarkers candidates. In this context, steroidomics opens the way to the untargeted simultaneous evaluation of a high number of compounds. Analytical platforms associating the performance of ultra-high pressure liquid chromatography (UHPLC) and the high mass-resolving power of quadrupole time-of-flight (QTOF) mass spectrometers are particularly adapted for such purpose. An untargeted steroidomic approach was proposed to analyse urine samples from a clinical trial for the discovery of relevant biomarkers of testosterone undecanoate oral intake. Automatic peak detection was performed and a filter of reference steroid metabolites mass-to-charge ratio (m/z) values was applied to the raw data to ensure the selection of a subset of steroid-related features. Chemometric tools were applied for the filtering and the analysis of UHPLC-QTOF-MS(E) data. Time kinetics could be assessed with N-way projections to latent structures discriminant analysis (N-PLS-DA) and a detection window was confirmed. Orthogonal projections to latent structures discriminant analysis (O-PLS-DA) classification models were evaluated in a second step to assess the predictive power of both known metabolites and unknown compounds. A shared and unique structure plot (SUS-plot) analysis was performed to select the most promising unknown candidates and receiver operating characteristic (ROC) curves were computed to assess specificity criteria applied in routine doping control. This approach underlined the pertinence to monitor both glucuronide and sulphate steroid conjugates and include them in the athletes passport, while promising biomarkers were also highlighted.