Rechtvaardigheid: ook iets voor de jurist?

Welk recht is rechtvaardig? Een vraag die onder juristen en in de rechtenopleidingen slechts op weinig aandacht rekenen. Dit terwijl de rechtswetenschap mede tot taak heeft de grondslagen van onze maatschappij te codificeren en – vervolgens – te interpreteren. Dit essay gaat parafraserend en aan de hand van voorbeelden uit het Nederlandse recht in op Jacques Derrida’s Kracht van wet. Dwang is voor Derrida een centraal begrip om recht en rechtvaardigheid met elkaar in verband te brengen. Rechtvaardigheid wordt bepaald door de combinatie van verschillende verschijningsvormen van dwang. Daarnaast maakt Derrida een onderscheid tussen rechtvaardigheid binnen en rechtvaardigheid buiten het rechtssysteem. Omdat deze zo nu en dan op elkaar moeten worden afgestemd, doet de jurist er goed aan om zich met beide soorten bekend te maken

COMPARING AN INERTIAL SENSOR SYSTEM TO VIDEO FOR ACL INJURY RISK SCREENING

Quantifying landing technique in sport-specific environments is desirable for effective injury prevention programs. The aim of this study was to compare an inertial sensor (Xsens) with high-speed cameras during landing. Ten participants performed double and single-leg drop vertical jumps while data from both systems were collected. Joint angle and excursion from Xsens was compared with the high-speed video. Bland and Altman plots and root mean of the squared difference quantified validity. Larger values of knee valgus excursion was reported with Xsens by 0.4-0.7cm. Additionally, Xsens overreported most joint flexion. Although an inertial sensor system may provide valuable information of landing kinematics in an applied environment, the resultant data must be carefully examined prior to drawing conclusions regarding the ACL injury risk of the athlete

Electronically assisted surveillance systems of healthcare-associated infections: a systematic review

BackgroundSurveillance of healthcare-associated infections (HAI) is the basis of each infection control programme and, in case of acute care hospitals, should ideally include all hospital wards, medical specialties as well as all types of HAI. Traditional surveillance is labour intensive and electronically assisted surveillance systems (EASS) hold the promise to increase efficiency.ObjectivesTo give insight in the performance characteristics of different approaches to EASS and the quality of the studies designed to evaluate them.MethodsIn this systematic review, online databases were searched and studies that compared an EASS with a traditional surveillance method were included. Two different indicators were extracted from each study, one regarding the quality of design (including reporting efficiency) and one based on the performance (e.g. specificity and sensitivity) of the EASS presented.ResultsA total of 78 studies were included. The majority of EASS (n = 72) consisted of an algorithm-based selection step followed by confirmatory assessment. The algorithms used different sets of variables. Only a minority (n = 7) of EASS were hospital-wide and designed to detect all types of HAI. Sensitivity of EASS was generally high (> 0.8), but specificity varied (0.37-1). Less than 20% (n = 14) of the studies presented data on the efficiency gains achieved.ConclusionsElectronically assisted surveillance of HAI has yet to reach a mature stage and to be used routinely in healthcare settings. We recommend that future studies on the development and implementation of EASS of HAI focus on thorough validation, reproducibility, standardised datasets and detailed information on efficiency

Electronically assisted surveillance systems of healthcare-associated infections:a systematic review

Background: Surveillance of healthcare-associated infections (HAI) is the basis of each infection control programme and, in case of acute care hospitals, should ideally include all hospital wards, medical specialties as well as all types of HAI. Traditional surveillance is labour intensive and electronically assisted surveillance systems (EASS) hold the promise to increase efficiency. Objectives: To give insight in the performance characteristics of different approaches to EASS and the quality of the studies designed to evaluate them. Methods: In this systematic review, online databases were searched and studies that compared an EASS with a traditional surveillance method were included. Two different indicators were extracted from each study, one regarding the quality of design (including reporting efficiency) and one based on the performance (e.g. specificity and sensitivity) of the EASS presented. Results: A total of 78 studies were included. The majority of EASS (n = 72) consisted of an algorithm-based selection step followed by confirmatory assessment. The algorithms used different sets of variables. Only a minority (n = 7) of EASS were hospital- wide and designed to detect all types of HAI. Sensitivity of EASS was generally high (> 0.8), but specificity varied (0.37-1). Less than 20% (n = 14) of the studies presented data on the efficiency gains achieved. Conclusions: Electronically assisted surveillance of HAI has yet to reach a mature stage and to be used routinely in healthcare settings. We recommend that future studies on the development and implementation of EASS of HAI focus on thorough validation, reproducibility, standardised datasets and detailed information on efficiency