Legionellapreventie: betere naleving Waterleidingwet nodig

Ongeveer 20 procent van de zorginstellingen en zwembaden heeft in 2005 te maken gehad met een legionellabesmetting in de leidingwaterinstallatie. Dit gold ook voor 5 procent van de hotels en campings. Vooral in zorginstellingen kan Legionella in de waterleidingen gevaarlijk zijn, omdat de mensen hier vaak een zwakkere gezondheid hebben. Circa 90% van de instellingen leeft niet alle wettelijk voorgeschreven preventiemaatregelen volledig na. Bij hercontrole is echter een groot deel van de problemen opgelost. Dit toont de effectiviteit en het belang van de controles: eenmaal op de hoogte van de risico’s zijn de eigenaren meestal bereid de nodige aanpassingen te doen. Het aantal collectieve leidingwaterinstallaties met Legionella nam tussen 2000 en 2006 niet duidelijk af. Een betere naleving van de legionellapreventie regelgeving en installatievoorschriften leidt naar verwachting wél tot minder Legionella in leidingwaterinstallaties. Tussen 2000 en 2006 steeg het aantal gemelde patiënten met legionellose. Een betrouwbare schatting van het aantal patiënten dat gerelateerd is aan een collectieve leidingwaterinstallatie als besmettingsbron is echter niet mogelijk

The Impact of Socioeconomic Status, Surgical Resection and Type of Hospital on Survival in Patients with Pancreatic Cancer:A Population-Based Study in The Netherlands

The influence of socioeconomic inequalities in pancreatic cancer patients and especially its effect in patients who had a resection is not known. Hospital type in which resection is performed might also influence outcome. Patients diagnosed with pancreatic cancer from 1989 to 2011 (n = 34,757) were selected from the population-based Netherlands Cancer Registry. Postal code was used to determine SES. Multivariable survival analyses using Cox regression were conducted to discriminate independent risk factors for death. Patients living in a high SES neighborhood more often underwent resection and more often were operated in a university hospital. After adjustment for clinicopathological factors, risk of dying was increased independently for patients with intermediate and low SES compared to patients with high SES. After resection, no survival difference was found among patients in the three SES groups. However, survival was better for patients treated in university hospitals compared to patients treated in non-university hospitals. Low SES was an independent risk factor for poor survival in patients with pancreatic cancer. SES was not an adverse risk factor after resection. Resection in non-university hospitals was associated with a worse prognosis.</p

A probabilistic evaluation procedure for process model matching techniques

Process model matching refers to the automatic identification of corresponding activities between two process models. It represents the basis for many advanced process model analysis techniques such as the identification of similar process parts or process model search. A central problem is how to evaluate the performance of process model matching techniques. Current evaluation methods require a binary gold standard that clearly defines which correspondences are correct. The problem is that often not even humans can agree on a set of correct correspondences. Hence, evaluating the performance of matching techniques based on a binary gold standard does not take the true complexity of the matching problem into account and does not fairly assess the capabilities of a matching technique. In this paper, we propose a novel evaluation procedure for process model matching techniques. In particular, we build on the assessments of multiple annotators to define the notion of a non-binary gold standard. In this way, we avoid the problem of agreeing on a single set of correct correspondences. Based on this non-binary gold standard, we introduce probabilistic versions of precision, recall, and F-measure as well as a distance-based performance measure. We use a dataset from the Process Model Matching Contest 2015 and a total of 16 matching systems to assess and compare the insights that can be obtained by using our evaluation procedure. We find that our probabilistic evaluation procedure allows us to gain more detailed insights into the performance of matching systems than a traditional evaluation based on a binary gold standard