No abstract

[ 11 C]DAA1106 is a potent and selective ligand for the peripheral benzodiazepine receptor (PBR) with high affinity. It has been reported that the density of PBR is related to brain damage, so a reliable tracer method for the evaluation of PBR would be of use. We evaluated a quantification method of [ 11 C]DAA1106 binding in simulated data and human brain data. In the simulation study, the reliability of parameters estimated from the nonlinear least-squares (NLS) method, graphical analysis (GA), and multilinear analysis (MA) was evaluated. In GA, variation of the estimated distribution volume (DV) was small. However, DV was underestimated as noise increased. In MA, bias was smaller, and variation of the estimated DV was larger than in GA. In NLS, although variation was larger than in GA, it was small enough in regions of interest analysis, and not only DV but also binding potential (BP), determined from the k 3 /k 4 without any constraint, could be estimated. The variation of BP estimated with NLS became larger as k 3 or k 4 became smaller. In human studies with normal volunteers, regions of interest were drawn on several brain regions, BP was calculated by NLS, and DV was also estimated by NLS, GA, and MA. As a result, DVs estimated with each method were well correlated. However, there was no correlation between BP with NLS and DV with NLS, GA, and MA, because of the variation of K 1 /k 2 between individuals. In conclusion, BP is estimated most reliably by NLS with the two-tissue compartment model.

This paper is a report of the development of an instrument to measure nurses' views on the use, quality and user satisfaction with electronic medical records systems. BACKGROUND:Use of electronic medical records systems in hospitals is steadily increasing, yet no validated instruments have assessed the effectiveness of these systems from the viewpoint of nurses. METHOD:Items were designed following a literature review based on three main constructs: use, quality and user satisfaction with electronic medical records. Reliability and validity were examined based on responses from 1,666 nurses from 42 hospitals in Japan in February 2006. Exploratory factor analysis was conducted to determine the degree to which each item within a construct was associated. The reliability of each resultant factor was computed using Cronbach's alpha coefficient. Content validity was addressed by basing the items on previous surveys and review of the instrument by a panel of nurses experienced in nursing informatics. Construct validity was examined through factor analysis and correlational analyses. FINDINGS:Extent of 'use' of electronic medical records resulted into three factors with good factor loadings, but only two had acceptable reliability. 'Quality' of electronic medical records had two factors with good factor loadings and reliability. 'User satisfaction' with electronic medical records had three factors, but only one had acceptable reliability. 'Use' and 'quality' constructs were positively correlated with 'user satisfaction'. CONCLUSION:The final instrument incorporates 34 items from the original 44-item pool. Initial validity results were positive and therefore the instrument can be used in evaluating electronic medical records in hospitals.

No abstract

No abstract