Search results for "information"

Human Coaching Methodologies for Automatic Electronic Coaching (eCoaching) as Behavioral Interventions With Information and Communication Technology:…

2021

Background We systematically reviewed the literature on human coaching to identify different coaching processes as behavioral interventions and methods within those processes. We then reviewed how those identified coaching processes and the used methods can be utilized to improve an electronic coaching (eCoaching) process for the promotion of a healthy lifestyle with the support of information and communication technology (ICT). Objective This study aimed to identify coaching and eCoaching processes as behavioral interventions and the methods behind these processes. Here, we mainly looked at processes (and corresponding models that describe coaching as certain processes) and the methods th…

Smartphone Apps for the Treatment of Mental Disorders: Systematic Review

2020

Background Smartphone apps are an increasingly popular means for delivering psychological interventions to patients suffering from a mental disorder. In line with this popularity, there is a need to analyze and summarize the state of the art, both from a psychological and technical perspective. Objective This study aimed to systematically review the literature on the use of smartphones for psychological interventions. Our systematic review has the following objectives: (1) analyze the coverage of mental disorders in research articles per year; (2) study the types of assessment in research articles per mental disorder per year; (3) map the use of advanced technical features, such as sensors…

2018

<b><i>Background:</i></b> A major and complex challenge when trying to support individuals with dementia is meeting the needs of those who experience changes in behaviour and mood. <b><i>Aim:</i></b> To explore how a sensor measuring electrodermal activity (EDA) impacts assistant nurses’ structured assessments of problematic behaviours amongst people with dementia and their choices of care interventions. <b><i>Methods:</i></b> Fourteen individuals with dementia wore a sensor that measured EDA. The information from the sensor was presented to assistant nurses during structured assessments of problematic behaviours. The e…

A validity and reliability study of Conditional Entropy Measures of Pulse Rate Variability

2019

In this work, we present the feasibility to use a simpler methodological approach for the assessment of the short-term complexity of Heart Rate Variability (HRV). Specifically, we propose to exploit Pulse Rate Variability (PRV) recorded through photoplethysmography in place of HRV measured from the ECG, and to compute complexity via a linear Gaussian approximation in place of the standard model-free methods (e.g., nearest neighbor entropy estimates) usually applied to HRV. Linear PRV-based and model-free HRV-based complexity measures were compared via statistical tests, correlation analysis and Bland-Altman plots, demonstrating an overall good agreement. These results support the applicabil…

Language complexity in on-line health information retrieval

2020

The number of people searching for on-line health information has been steadily growing over the years so it is crucial to understand their specific requirements in order to help them finding easily and quickly the specific in-formation they are looking for. Although generic search engines are typically used by health information seekers as the starting point for searching information, they have been shown to be limited and unsatisfactory because they make generic searches, often overloading the user with the provided amount of results. Moreover, they are not able to provide specific information to different types of users. At the same time, specific search engines mostly work on medical li…

ULearn: Personalized Medical Learning on the Web for Patient Empowerment

2019

Abstract. Health literacy constitutes an important step towards patient empowerment and the Web is presently the biggest repository of medical information and, thus, the biggest medical resource to be used in the learning process. However, at present web medical information is mainly accessed through generic search engines that do not take into account the user specific needs and starting knowledge and so are not able to support learning activities tailored to the specific user requirements. This work presents “ULearn” a meta engine that supports access, understanding and learning on the Web in the medical domain based on specific user requirements and knowledge levels towards what we call …

Automatic Profiling of Open-Ended Survey Data on Medical Workplace Teaching

2019

On-the-job medical training is known to be challenging due to the fast-paced environment and strong vocational profile. It relies on on-site supervisors, mainly doctors and nurses with long practical experience, who coach and teach their less experienced colleagues, such as residents and healthcare students. These supervisors receive pedagogical training to ensure that their guidance and teaching skills are constantly improved. The aim of such training is to develop participants’ patient, collegiate and student guidance skills in a multiprofessional environment, and to expand their understanding of guidance as part of their work as supervisors of healthcare professionals. In this paper, we …

Health communication in covid-19 era: Experiences from the italian vaccinarsì network websites

2021

In 2013, in a bid to combat Vaccine Hesitancy (VH) and provide information on vaccines by communicating with the general public and the health community (e.g., healthcare workers and public health operators), the Italian Society of Hygiene and Preventive Medicine (S.It.I.) published the national website “VaccinarSì”. The project was subsequently extended to ten Italian Regions. This led to the creation of the VaccinarSì Network, whose websites are publicly owned. The aim of this work was to present the framework of the websites of the VaccinarSì Network and to analyse user behaviour in the pre-COVID-19-era (dating from each website’s publication until 31 January 2020) and in the COVID-19-er…

Selecting students for medical school: What predicts success during basic science studies? A cognitive approach

1996

This study focuses on differences between multiple-choice science tests and a learning-from-text (LFT) test, and how these tests predict success in basic medical studies. The subjects (N = 503) were applicants to the Helsinki University Medical Faculty. All of them had to take an entrance examination in order to be considered for admission to a 6-year study programme combining medical school and graduate studies. The entrance examination consisted of three traditional multiple-choice science tests and one LFT test, the latter designed to measure deep-level processing of text. A follow-up study was conducted in order to see how the different tasks were related to the grades and pace of study…

Teachers’ intention to use educational video games: The moderating role of gender and age

2018

Educational video games represent an educational change that challenges teachers and managers of Higher Education institutions in several ways including their attitude formation and behavioural intention. Using a Technology Acceptance Model (TAM) approach a research model is developed to predict teachers’ behavioural intention to use educational video games in their courses. The research model is tested via structural equation modelling (SEM) on a sample of 312 Higher Education teachers. Main results suggest that perceived usefulness influences in a direct and positive way teachers’ behavioural intention while perceived ease of use indirectly influences intention through perceived usefulnes…