Uso del arte y de la creatividad en las terapias psicosociales. Estudio y valoración de resultados de la utilización de la fotografía con pacientes con un trastorno grave y crónico

This article will reveal the experiment and the subsequent investigation work carried out with patients having chronic and severe mental illness at the Creativity and Rehabilitation Workshop of the Mental Health Service at the Health Department no. 12 of the Hospital Francisco de Borja of Gandia, Spain. The course focuses on patient training in the use of photography and image as a means of expression and as a part of psychosocial therapies to improve patients’ quality of life in front of the society. In addition, it tries to enhance the analytic capacity of the patient not only with regards to the photography aesthetically, but also personally. There are many international scientific surveys backing up the knowledge and use of Artistic and Creative Therapy in chronic patients; however, these activities are seen as pioneering actions in Spain given the current health structure, which includes few national psychiatric centers developing them continuously and being temporally monitored. This experiment demonstrates that photography significantly improves the quality of life of chronic patients and motivates them socially to communicate themselves through art, just as it helps them using creativity as a tool for social action.

Modelling Patient Duration of Stay to Facilitate Resource Management of Geriatric Hospitals

A fundamental aspect of health care management is the effective allocation of resources. This is of particular importance in geriatric hospitals where elderly patients tend to have more complex needs. Hospital managers would benefit immensely if they had advance knowledge of patient duration of stay in hospital. Managers could assess the costs of patient care and make allowances for these in their budget. In this paper, we tackle this important problem via a model which predicts the duration of stay distribution of patients in hospital. The approach uses phase-type distributions conditioned on a Bayesian belief network.

Using Coxian Phase-Type Distributions to Identify Patient Characteristics for Duration of Stay in Hospital

Coxian phase-type distributions are a special type of Markov model that describes duration until an event occurs in terms of a process consisting of a sequence of latent phases. This paper considers the use of Coxian phase-type distributions for modelling patient duration of stay for the elderly in hospital and investigates the potential for using the resulting distribution as a classifying variable to identify common characteristics between different groups of patients according to their (anticipated) length of stay in hospital. The identification of common characteristics for patient length of stay groups would offer hospital managers and clinicians possible insights into the overall management and bed allocation of the hospital wards.