Probability analysis of compassion: Enhancing compassionate care in psychiatry through mirror neurons - 08/07/17
Riassunto |
Introduction |
The probability that psychiatric care becomes compassionate is higher when individual subjects, groups or organizations utilize mirror neurons to attune with the emotional world of their clients.
Objectives |
To create an algorithm for compassionate care in mental health by attunement of mirror neurons.
Aims |
To predict the probability of the occurrence of sympathetic care in mental health.
Methods |
Naturalistic observation of health care organizations identified the major nodes-agents of the organizational-neural network leading to a compassionate care (events A): individual, group, organization and society. Negative influences on compassionate care are (events B) subjective and collective acts.
Results |
The probability that compassionate care occurs as a result of a single mediator's action was only 0.167 (16%). The probability that compassion results from training mirror neurons were as follows:.Multiple event probability formula:
– probability of event A that occurs P(A)=0.667 (66%) [positive subject+group+organization+society)];
– probability of event B that occurs P(B)=0.333 [negative individual and group];
– probability that both the events occur P(A∩B)=P(A)×P(B)=0.222 [inhibitory influence];
– probability that either of event occurs P(A∪B)=P(A)+P(B)−P(A∩B)=0.778.
Conclusions |
The probability of organizational compassion (PA) is high when all the agents interact. As compassion is reinforced by mirror neurons, a reduction in the number of people involved in compassionate care also means the final outcome is less likely to appear.
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Vol 41 - N° S
P. S330 - aprile 2017 Ritorno al numeroBenvenuto su EM|consulte, il riferimento dei professionisti della salute.
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