1,721,014 research outputs found
British Journal of Educational Psychology
No full textBackground: Morality and moral reasoning develop over the
course of life, but such development may encounter obstacles.
Psycho-educational interventions could be designed to improve
moral reasoning and attitude towards prosociality. In the last decades, many interventions employed digital technologies ranging from multicomponent online platforms to serious games and virtual reality, making use of interactivity and immersive properties that could make moral stimuli more engaging.
Aims: This study aimed at reviewing the literature on digital
interventions to support morality and moral reasoning, carried
out with subjects of all age groups.
Methods and results: Two electronic databases were searched
with a systematic approach, and retrieved publications were
scanned by authors against inclusion criteria. Twenty-three
articles were reviewed. In general, the literature describes encouraging
results of digital interventions to support morality. Moreover, a huge variety of morality conceptualizations emerged across various contexts (e.g., professional, school and sports) as well as various outcome measurements (e.g., change in attitudes and change in behaviour).
Conclusions: Effectiveness of digital interventions may relate
to immersive and interactive simulations in particular, in that
they allow participants not only to learn about moral rules and
principles but also to actively exercise their own morality to
make decisions. Future research may build on the present scoping
review to analyse specific types of interventions' effectiveness
with a meta-analytical approach
Positive Technology for Enhancing the Patient Engagement Experiences
No full textNew technologies are fundamental resources to fostering patient engagement in clinical and organizational settings. Not only can they allow clinicians to provide care services and support the diagnosis process, but they can also be used to understand patients’ care experience and to promote patients’ engagement in their own care management. In this sense, the Positive Technology paradigm constitutes a scientific and applied approach to the use of new technologies to structure, augment, or replace personal experience. Indeed, using new technologies allows; (1) the generation /promotion of positive emotions (Hedonic Technologies); (2) support in the achieving of positive and self-actualizing experiences (Eudaimonic Technologies); and (3) the promotion of connectedness and social integration, as a dynamic and controllable aspect of well-being (Social/Interpersonal Technologies). This chapter provides examples of how positive technologies can be used in healthcare settings to improve patients’ engagement in their healthcare
Giving (Back) a Role to Patients in the Delivery of Healthcare Services: Theoretical Roots of Patient Engagement
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Engaging Users to Design Positive Technologies for Patient Engagement: the Perfect Interaction Model
No full textThis chapter elaborates on the design of positive pechnologies for patient engagement. According to literature, new technologies for patient engagement should be "ecologically" designed, taking into account the personal situation and needs of the patients. This could be done by adopting a User-Centered design approach, which is based on the involvement of the end-users of the technology from the very first stages in the design process. In order to achieve this objective, this chapter will propose a User-Centered approach to the design of new technologies applied to the healthcare context. A new operational model labelled PIM (Perfect Interaction Model) which is able to analyze the intentions, the feelings, and the real-life context of the patients in the technologies’ design process is also described. Moreover, the PIM is then associated with the PHE Model, highlighting the important aspects of patient engagement that should be be considered in the design process
The quest for engaging AmI: Patient engagement and experience design tools to promote effective assisted living
Full text linkRecent research highlights that patient engagement, conceived as a patient's behavioral, cognitive and emotional commitment to his own care management, is a key issue while implementing new technologies in the healthcare process. Indeed, eHealth interventions may systematically fail when the patient's subjective experience has not been taken into consideration since the first steps of the technology design. In the present contribution, we argue that such an issue is more and more crucial as regarded to the field of Ambient Intelligence (AmI). Specifically, the exact concept of technologies embedded in the patients’ surrounding environment implies a strong impact on their everyday life, which can be perceived as a limitation to autonomy and privacy, and therefore refused or even openly opposed by the final users. The present contribution tackles this issue directly, highlighting: (1) a theoretical framework to include patient engagement in the design of AmI technologies; (2) assessment measures for patient engagement while developing and testing the effectiveness of AmI prototypes for healthcare. Finally (3) this contribution provides an overview of the main issues emerging while implementing AmI technologies and suggests specific design solutions to address them
Engagement-sensitive decision making: Training doctors to sustain patient engagement in medical consultations
No full textQuestioning about "how to talk with patients" and how to make them engaged in healthcare decision making is currently a policy imperative for Western healthcare systems. Making patients active participants of their care process is increasingly advocated as an ideal model for medical consultations, as it has the potential to deliver better health outcomes and a more efficient use of resources through retaining patients’ autonomy and self-determination. However, beyond the evident benefits of patient engagement in healthcare, it should be also considered that doctors - in their daily practice - are commonly challenged by the diversity of situations that arise when they attempt to engage health consumers in clinical decision making. Indeed, consistently engaging patients in daily clinical practice asks doctors to be able to recognize that patients’ different clinical statuses and engagement dispositions might require different relational styles. Clearly, different situations require different communication approaches and doctors should be trained to adapt their relational style according to the specificities of such situations. This chapter will be devoted to discussing the opportunities offered by an "engagement-sensitive decision making" in order to orientate doctors’ relational skills and decisional style according to patients’ needs at each phase of the health engagement process. Insights for medical education and the potential value of new technologies aimed at improving doctors’ relational strategies to improve patient engagement will be also provide
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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