Search

Aims Self-care, an essential component of heart failure (HF) treatment, is inadequate in most patients. We evaluated if motivational interviewing (MI) (i) improves patient self-care maintenance (primary endpoint; e.g. taking medications), self-care management (e.g. responding to symptoms) and self-care confidence (or self-efficacy) 3 months after enrolment; (ii) changes self-care over 1 year, and (iii) augments patient self-care if informal caregivers are involved. Methods and results Parallel randomized controlled trial (1:1:1). A sample of 510 patients (median 74 years, 58% male) and caregivers (median 55 years, 75% female) was randomized to Arm 1 (MI only for patients), Arm 2 (MI for patients and caregivers), or Arm 3 (usual care). The intervention in Arms 1 and 2 consisted of one face-to-face MI session with three telephone contacts. Self-care was evaluated with the Self-Care of HF Index measuring self-care maintenance, management, and confidence. Scores on each scale range from 0 to 100 with higher scores indicating better self-care; ≥70 is considered adequate. At 3 months, self-care maintenance improved 6.99, 7.42 and 2.58 points in Arms 1, 2, and 3, respectively (P = 0.028). Self-care maintenance was adequate in 18.4%, 19.4%, and 9.2% of patients in Arms 1, 2 and 3, respectively (P = 0.016). Over 1 year, self-care maintenance, management, and confidence scores in Arms 1 and 2 were significantly higher than in Arm 3 in several follow-ups. Over 1 year, Arm 2 had the best scores in self-care management. Conclusions MI significantly improved self-care in HF patients. Including caregivers may potentiate the effect, especially in self-care management. ClinicalTrial.gov, identifier: NCT02894502.

The objective of this article is to report patterns of passenger's satisfaction with their safety at an international European airport.1 The study is based on an analysis of a 2014–2015 passenger safety survey with particular focus on the impact of the airport's environment on passenger safety. Chi-square analysis and binary logistic regression underpin the methodology used in the study. Findings show that about one third of passengers are dissatisfied with their perceived safety. Airport entrances, security checkpoints, boarding areas, toilets, and restaurants are places where passengers declare feeling less satisfied with their safety. Regardless whether passengers are arriving or departing, their satisfaction with safety is affected by their perception of an airport's environment (e.g., elevators, overall maintenance) and also by the overall experience of being in transit. Findings call for research and interventions that consider passenger safety as a multifaceted phenomenon and that adopt a whole-journey approach to transit safety., QC 20171211

The main goal of this thesis is to report patterns of perceived safety in the context of airport infrastructure, taking the airport of Bologna as reference. Many personal and environmental attributes are investigated to paint the profile of the sensitive passenger and to understand why precise factors of the transit environment are so impactful on the individual. The main analyses are based on a 2014-2015 passengers’ survey, involving almost six thousand of incoming and outgoing passengers. Other reports are used to implement and support the resource. The analysis is carried out by using a combination of Chi-square tests and binary logistic regressions. Findings shows that passengers result to be particularly affected by the perception of airport’s environment (e.g., state and maintenance of facilities, clarity and efficacy of information system, functionality of elevators and escalators), but also by the way how the passenger reaches the airport and the quality of security checks. In relation to such results, several suggestions are provided for the improvement of passenger satisfaction with safety. The attention is then focused on security checkpoints and related operations, described on a theoretical and technical ground. We present an example of how to realize a proper model of the security checks area of Bologna’s airport, with the aim to assess present performances of the system and consequences of potential variations. After a brief introduction to Arena, a widespread simulation software, the existing model is described, pointing out flaws and limitations. Such model is finally updated and changed in order to make it more reliable and more representative of the reality. Different scenarios are tested and results are compared using graphs and tables.

The main goal of this thesis is to report patterns of perceived safety in the context of airport infrastructure, taking the airport of Bologna as reference. Many personal and environmental attributes are investigated to paint the profile of the sensitive passenger and to understand why precise factors of the transit environment are so impactful on the individual. The main analyses are based on a 2014-2015 passengers’ survey, involving almost six thousand of incoming and outgoing passengers. Other reports are used to implement and support the resource. The analysis is carried out by using a combination of Chi-square tests and binary logistic regressions. Findings shows that passengers result to be particularly affected by the perception of airport’s environment (e.g., state and maintenance of facilities, clarity and efficacy of information system, functionality of elevators and escalators), but also by the way how the passenger reaches the airport and the quality of security checks. In relation to such results, several suggestions are provided for the improvement of passenger satisfaction with safety. The attention is then focused on security checkpoints and related operations, described on a theoretical and technical ground. We present an example of how to realize a proper model of the security checks area of Bologna’s airport, with the aim to assess present performances of the system and consequences of potential variations. After a brief introduction to Arena, a widespread simulation software, the existing model is described, pointing out flaws and limitations. Such model is finally updated and changed in order to make it more reliable and more representative of the reality. Different scenarios are tested and results are compared using graphs and tables.