Bridging the Accountability Gap: Rights for New Entities in the Information Society?

Technological developments in the information society bring new challenges, both to the applicability and to the enforceability of the law. One major challenge is posed by new entities such as pseudonyms, avatars, and software agents that operate at an increasing distance from the physical persons "behind" them (the "principal"). In case of accidents or misbehavior, current laws require that the physical or legal principal behind the entity be found so that she can be held to account. This may be problematic if the linkability of the principal and the operating entity is questionable. In light of the ongoing developments in electronic agents, there is sufficient reason to conduct a review of the literature in order to more closely examine arguments for and against legal personhood for some nonhuman acting entities. This article also includes a discussion of alternative approaches to solving the "accountability gap."

Exploring the implementation of a medication adherence programme by community pharmacists : a qualitative study

Background Medication adherence has been identified as an important factor for clinical success. Twenty-four Swiss community pharmacists participated in the implementation of an adherence support programme for patients with hypertension, diabetes mellitus and/or dyslipidemia. The programme combined tailored consultations with patients about medication taking (expected at an average of one intervention per month) and the delivery of each drug in an electronic monitoring system (MEMS6?). Objective To explore pharmacists' perceptions and experiences with implementation of the medication adherence programme and to clarify why only seven patients were enrolled in total. Setting Community pharmacies in French-speaking Switzerland. Method Individual in-depth interviews were audio-recorded, with 20 of the pharmacists who participated in the adherence programme. These were transcribed verbatim, coded and thematically analysed. Process quality was ensured by using an audit trail detailing the development of codes and themes; furthermore, each step in the coding and analysis was verified by a second, experienced qualitative researcher. Main outcome measure Community pharmacists' experiences and perceptions of the determining factors influencing the implementation of the adherence programme. Results Four major barriers were identified: (1) poor communication with patients resulting in insufficient promotion of the programme; (2) insufficient collaboration with physicians; (3) difficulty in integrating the programme into pharmacy organisation; and (4) insufficient pharmacist motivation. This was related to the remuneration perceived as insufficient and to the absence of clear strategic thinking about the pharmacist position in the health care system. One major facilitator of the programme's implementation was pre-existing collaboration with physicians. Conclusion A wide range of barriers was identified. The implementation of medication adherence programmes in Swiss community pharmacies would benefit from an extended training aimed at developing communication and change management skills. Individualised onsite support addressing relevant barriers would also be necessary throughout the implementation process.

Test of four colon cancer risk-scores in formalin fixed paraffin embedded microarray gene expression data.

BACKGROUND: Prognosis prediction for resected primary colon cancer is based on the T-stage Node Metastasis (TNM) staging system. We investigated if four well-documented gene expression risk scores can improve patient stratification. METHODS: Microarray-based versions of risk-scores were applied to a large independent cohort of 688 stage II/III tumors from the PETACC-3 trial. Prognostic value for relapse-free survival (RFS), survival after relapse (SAR), and overall survival (OS) was assessed by regression analysis. To assess improvement over a reference, prognostic model was assessed with the area under curve (AUC) of receiver operating characteristic (ROC) curves. All statistical tests were two-sided, except the AUC increase. RESULTS: All four risk scores (RSs) showed a statistically significant association (single-test, P < .0167) with OS or RFS in univariate models, but with HRs below 1.38 per interquartile range. Three scores were predictors of shorter RFS, one of shorter SAR. Each RS could only marginally improve an RFS or OS model with the known factors T-stage, N-stage, and microsatellite instability (MSI) status (AUC gains < 0.025 units). The pairwise interscore discordance was never high (maximal Spearman correlation = 0.563) A combined score showed a trend to higher prognostic value and higher AUC increase for OS (HR = 1.74, 95% confidence interval [CI] = 1.44 to 2.10, P < .001, AUC from 0.6918 to 0.7321) and RFS (HR = 1.56, 95% CI = 1.33 to 1.84, P < .001, AUC from 0.6723 to 0.6945) than any single score. CONCLUSIONS: The four tested gene expression-based risk scores provide prognostic information but contribute only marginally to improving models based on established risk factors. A combination of the risk scores might provide more robust information. Predictors of RFS and SAR might need to be different.