(Sub) Optimality and (non) optimal satisficing in risky decision experiments

We implement a risky choice experiment based on one-dimensional choice variables and risk neutrality induced via binary lottery incentives. Each participant confronts many parameter constellations with varying optimal payoffs. We assess (sub)optimality, as well as (non) optimal satisficing by eliciting aspirations in addition to choices. Treatments differ in the probability that a binary random event, which are payoff-but not optimal choice-relevant is experimentally induced and whether participants choose portfolios directly or via satisficing, i.e., by forming aspirations and checking for satisficing before making their choice. By incentivizing aspiration formation, we can test satisficing, and in cases of satisficing, determine whether it is optimal

Nursing workload and patient safety - a mixed method study with an ecological restorative approach

OBJECTIVE: The aim of this study was to analyze the potential association between nursing workload and patient safety in the medical and surgical inpatient units of a teaching hospital. METHOD: a mixed method strategy (sequential explanatory design). RESULTS: the initial quantitative stage of the study suggest that increases in the number of patients assigned to each nursing team lead to increased rates of bed-related falls, central line-associated bloodstream infections, nursing staff turnover, and absenteeism. During the subsequent qualitative stage of the research, the nursing team stressed medication administration, bed baths, and patient transport as the aspects of care that have the greatest impact on workload and pose the greatest hazards to patient, provider, and environment safety. CONCLUSIONS: The findings demonstrated significant associations between nursing workload and patient safety. We observed that nursing staff with fewer patients presented best results of care-related and management-related patient safety indicators. In addition, the tenets of ecological and restorative thinking contributed to the understanding of some of the aspects in this intricate relationship from the standpoint of nursing providers. They also promoted a participatory approach in this study

Nursing Activities Score: nursing work load in a burns Intensive Care Unit

OBJECTIVE: to evaluate the nursing work load in a Burns Intensive Care Unit according to the Nursing Activities Score.METHOD: an exploratory, descriptive cross-sectional study with a quantitative approach. The Nursing Activities Score was used for data collection between October 2011 and May 2012, totalling 1,221 measurements, obtained from 50 patients' hospital records. Data for qualitative variables was described in tables; for the quantitative variables, calculations using statistical measurements were used.RESULTS: the mean score for the Nursing Activities Score was 70.4% and the median was 70.3%, corresponding to the percentage of the time spent on direct care to the patient in 24 hours.CONCLUSION: the Nursing Activities Score provided information which involves the process of caring for patients hospitalized in a Burns Intensive Care Unit, and indicated that there is a high work load for the nursing team of the sector studied

Reconsidering the common ratio effect: the roles of compound independence, reduction, and coalescing

Common ratio effects should be ruled out if subjects' preferences satisfy compound independence, reduction of compound lotteries, and coalescing. In other words, at least one of these axioms should be violated in order to generate a common ratio effect. Relying on a simple experiment, we investigate which failure of these axioms is concomitant with the empirical observation of common ratio effects.We observe that compound independence and reduction of compound lotteries hold, whereas coalescing is systematically violated. This result provides support for theories which explain the common ratio effect by violations of coalescing (i.e., configural weight theory) instead of violations of compound independence (i.e., rank-dependent utility or cumulative prospect theory)

Testing the 'standard' model of stochastic choice under risk

Models of stochastic choice are intended to capture the substantial amount of noise observed in decisions under risk. We present an experimental test of one model, which many regard as the default—the Basic Fechner model. We consider one of the model’s key assumptions—that the noise around the subjective value of a risky option is independent of other features of the decision problem. We find that this assumption is systematically violated. However the main patterns in our data can be accommodated by a more recent variant of the Fechner model, or within the random preference framework