Search results for "decision‐making"
showing 3 items of 3 documents
Can We Do Better Next Time? Italians' Response to the COVID-19 Emergency through a Heuristics and Biases Lens.
2022
During the outbreak of COVID-19 in Italy, people often failed to adopt behaviors that could have stopped, or at least slowed down, the spread of this deadly disease. We offer cognitive explanations for these decisions, based on some of the most common heuristics and biases that are known to influence human judgment and decision-making, especially under conditions of high uncertainty. Our analysis concludes with the following recommendations: policymakers can and should take advantage of this established science, in order to communicate more effectively and increase the likelihood that people choose responsible actions in a public health crisis.
Family members' satisfaction with care and decision-making in intensive care units and post-stay follow-up needs-a cross-sectional survey study.
2016
Aim The aim of this study was to explore family members' satisfaction with care and decision-making during the intensive care units stay and their follow-up needs after the patient's discharge or death. Design A cross-sectional survey study was conducted. Methods Family members of patients recently treated in an ICU were participating. The questionnaire contented of background variables, the instrument Family Satisfaction in ICU (FS-ICU 24) and questions about follow-up needs. Descriptive and non-parametric statistics and a multiple linear regression were used in the analysis. Results A total of 123 (47%) relatives returned the questionnaire. Satisfaction with care was higher scored than sa…
Group 1 ITI Consensus Report: The influence of implant length and design and medications on clinical and patient-reported outcomes
2018
The following article: Jung, R.E., Al-Nawas, B., Araujo, M., Avila-Ortiz, G., Barter, S., Brodala, N., ... Windisch, P. (2018). Group 1 ITI Consensus Report: The influence of implant length and design and medications on clinical and patient-reported outcomes. Clinical Oral Implants Research, 29(S16), 69-77, can be accessed at https://doi.org/10.1111/clr.13342. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Objectives: The aim of Working Group 1 was to address the influence of different local (implant length, diameter, and design) and systemic (medications) factors on clinical, radiographic, and patient‐re…