Stress Management in Primary Caregivers: A Health Challenge
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4
Abstract
Technology based advances in healthcare are leading to social changes that, in turn, will require innovative responses from health systems. Mainly due to these advances, life expectancy grows so, the aging of world population increases and with it the percentage of chronic patients. Because ofthese two factors: aging people and chronic patients, new needs are posed to the current health system. Together with these patients,a population of nonprofessional caregivers emerges playing a key role in the care process. However, the impact of the care burden on their health is usually underminedalthough an increasing number of studies report caregiver associated diseases. One of the challenges that arise from health systems: To acknowledgeand to take care this population of caregivers,to avoid the socalled burned caregiver syndrome as well as to reduce the risks of comorbidities associated with the caregiver's stress by setting up appropriate interventions. Having in mind all these considerations, from the Clinic Hospital in Barcelona we are starting to work ona biofeedback program involvingdifferent populations of caregivers: 30 caregivers of oncological patients and 30 caregivers of geriatric patients and the corresponding control group. The project that is presented in this paper is aiming to determine if these therapies can become effective interventions to reduce the stress that represents the caregiver syndrome. The followup of the project willfocus on the possibility to indirectly demonstrate if the decrease of stress actually results in a decrease of the derived diseases and of the total cost that it entails.
Authors and Affiliations
Sira Aguiló, Beatriz Lopez-Barbeito, Esther García, Jordi Aguiló
Keywords
Related Articles
- EP ID EP310062
- DOI 10.14738/tmlai.54.3292
- Views 68
- Downloads 0
English Premier League (EPL) Soccer Matches Prediction using An Adaptive Neuro-Fuzzy Inference System (ANFIS) for
Prediction of English Premiership League (EPL) matches has been on the heart and minds of researcher over the pass decades, but none has sufficiently introduced and Adaptive Neuro-Fuzzy Inference System (ANFIS) approach...
Use of the MOOC for a Change of Attitude Towards Science and its Teaching
This work describes conceptual changes in science and its teaching; Observed among 200 primary school teachers after the application of a didactic proposal (online training). We used a platform as training and learning s...
Entrepreneur: Artificial Human Optimization
A new field titled ‘Artificial Human Optimization’ is introduced in this paper. All optimization methods which were proposed based on Artificial Humans will come under this new field. Less than 20 papers were published i...
Architecture of A Semantic Annotation of Handwritten Documents Based on the Ontology "OMOS"
In this work we propose to present an application that supports the representation of manuscript documents according to an ontological approach. The implementation of this application makes it possible to annotate semant...
Implementation of the Flexible "Private - Public" Cloud Solution based on OpenStack
Cloud computing is a model that facilitates access to and manipulation of resources on demand. It is a technology that is unique today to meet the needs and demands of customers by guaranteeing a high quality of service...