Moral distress is a concern for all healthcare professionals working in all care settings. Based on our knowledge, no studies explore the differences in levels of moral distress in hospital and community settings. This study aims to examine the level of moral distress among healthcare professional working in community or hospital settings and compare it by demographic and workplace characteristics. This is a cross-sectional study. All the professionals working in the hospitals or community settings involved received personal e-mail invitations to participate in the study. The Moral Distress Thermometer was used to measure moral distress among healthcare professionals. Before data collection, ethical approval was obtained from each setting where the participants were enrolled. The sample of this study is made up of 397 healthcare professionals: 53.65% of the sample works in hospital setting while 46.35% of the sample works in community setting. Moral distress was present in all professional groups. Findings have shown that nurses experienced level of moral distress higher than other healthcare professionals (mean: 4.91). There was a significant differences between moral distress among different professional categories (H(6) = 14.407; p < 0.05). The ETA Coefficient test showed significant variation between healthcare professionals working in community and in hospital settings. Specifically, healthcare professionals who work in hospital experienced a higher level of moral distress than those who work in community settings (means 4.92 vs. means 3.80). The results of this study confirm that it is imperative to develop educational programs to reduce moral distress even in those settings where the level perceived is low, in order to mitigate the moral residue and the crescendo effect.
To evaluate the effect of demographic variables, delay discounting and dysfunctional personality traits on financial risk tolerance (FRT), 281 community-dwelling adults were administered the Italian translations of the Risk-Tolerance Scale (RTS), Monetary Choice Questionnaire, Probability Discounting Questionnaire, and Personality Inventory for DSM-5-Short Form (PID-5-SF) self-report questionnaires through an online platform. Hierarchical robust regression results showed that the linear combination of demographic variables (gender and active worker status), delay discounting measures and selected PID-5-SF trait scale scores (i.e., Attention Seeking and Risk Taking) explained roughly 39% of the RTS total score. As a whole, our findings underscore the role of demographic characteristics, dysfunctional personality traits and delay discounting in FRT expression. As a result, FRT is likely to represent the linear combination of several factors that should be assessed in order to understand FRT and prevent erroneous choices among lay investors.
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