Le sentiment de gratitude en soins palliatifs : un facteur contribuant au bien-être et à la qualité de vie ? [Gratitude in palliative care: is it a psychological factor contributing to well-being and quality of life?]

En s'appuyant sur la littérature scientifique et l'état de la recherche, cet article a pour objectif de montrer pourquoi la prise en compte du sentiment de gratitude peut s'avérer utile dans le contexte palliatif en mettant en évidence dans quelle mesure cette émotion ou disposition individuelle: 1) entre en résonance avec le concept de croissance posttraumatique et certains enjeux relationnels chez les patients en fin de vie; 2) représente un facteur favorisant le bien-être et la qualité de vie; 3) peut être considérée comme un facteur protecteur contre les troubles psychopathologiques. Based on the scientific literature and the state of research, this article aims to show why the feeling of gratitude may represent a point of interest for palliative care. We will highlight the following in this article: 1) why this feeling of gratitude resonates with the concept of post-traumatic growth and relational challenges in end-of-life patients; 2) in which measure this feeling represents a factor contributing to well-being and quality of life; 3) in which measure this feeling may be considered as a protective factor against psychopathological troubles.

A cognitive hierarchy model of behavior in the action commitment game

We apply the cognitive hierarchy model of Camerer et al. (Q J Econ 119(3):861-898, 2004)-where players have different levels of reasoning-to Huck et al. (Games Econ Behav 38:240-264, 2002) discrete version of Hamilton and Slutsky (Games Econ Behav 2:29-46, 1990) action commitment game-a duopoly with endogenous timing of entry. We show that, for an empirically reasonable average number of thinking steps, the model rules out Stackelberg equilibria, generates Cournot outcomes including delay, and outcomes where the first mover commits to a quantity higher than Cournot but lower than Stackelberg leader. We show that a cognitive hierarchy model with quantal responses can explain the most important features of the experimental data on the action commitment game in (2002). In order to gauge the success of the model in fitting the data, we compare it to a noisy Nash model. We find that the cognitive hierarchy model with quantal responses fits the data better than the noisy Nash model.