RESUMO
This study analyzed the individual differences in hemodynamic time patterns and reactivity to cognitive and emotional tasks, and explored the diversity of psycho-physiological profiles that could be used for the personalized prediction of different diseases. An analysis of heart rate (HR)-blood pressure (BP) relationship patterns across time using cross-correlations (CCs) during a logical-mathematical task and a task recalling negative emotions (rumination) was carried out in a laboratory setting on 45 participants. The results showed maximum HR-BP CCs during the mathematical task significantly more positive than the maximum HR-BP CCs during the rumination task. Furthermore, our results showed a large variety of hemodynamic reactivity profiles across the participants, even when carrying out the same tasks. The most frequent type showed positive HR-BP CCs under cognitive activity, and several positive-negative HR-BP CCs cycles under negative emotional activity. In general terms, our results supported the main hypothesis. We observed some distinct time-based "coordination strategies" in the reactivity of the autonomic nervous system under emotional vs. cognitive loading. Overall, large individual, as well as situational, specificities in hemodynamic reactivity time patterns were seen. The possible relationships between this variety of profiles and different psychosocial characteristics, and the potential for integrative predictive health within the provision of highly personalized medicine, are discussed.
RESUMO
Current trends in health care delivery and management such as predictive and personalized health care incorporating information and communication technologies, home-based care, health prevention and promotion through patients' empowerment, care coordination, community health networks and governance represent exciting possibilities to dramatically improve health care. However, as a whole, current health care trends involve a fragmented and scattered array of practices and uncoordinated pilot projects. The present paper describes an innovative and integrated model incorporating and "assembling" best practices and projects of new innovations into an overarching health care system that can effectively address the multidimensional health care challenges related to aging patient especially with chronic health issues. The main goal of the proposed model is to address the emerging health care challenges of an aging population and stimulate improved cost-efficiency, effectiveness, and patients' well-being. The proposed home-based and community-centered Integrated Healthcare Management System may facilitate reaching the persons in their natural context, improving early detection, and preventing illnesses. The system allows simplifying the health care institutional structures through interorganizational coordination, increasing inclusiveness and extensiveness of health care delivery. As a consequence of such coordination and integration, future merging efforts of current health care approaches may provide feasible solutions that result in improved cost-efficiency of health care services and simultaneously increase the quality of life, in particular, by switching the center of gravity of health delivery to a close relationship of individuals in their communities, making best use of their personal and social resources, especially effective in health delivery for aging persons with complex chronic illnesses.