VirtualECare: group support in collaborative networks organizations for digital homecare

Collaborative Work plays an important role in today’s organizations, especially in areas where decisions must be made. However, any decision that involves a collective or group of decision makers is, by itself complex, but is becoming recurrent in recent years. In this work we present the VirtualECare project, an intelligent multi-agent system able to monitor, interact and serve its customers, which are, normally, in need of care services. In last year’s there has been a substantially increase on the number of people needed of intensive care, especially among the elderly, a phenomenon that is related to population ageing. However, this is becoming not exclusive of the elderly, as diseases like obesity, diabetes and blood pressure have been increasing among young adults. This is a new reality that needs to be dealt by the health sector, particularly by the public one. Given this scenarios, the importance of finding new and cost effective ways for health care delivery are of particular importance, especially when we believe they should not to be removed from their natural “habitat”. Following this line of thinking, the VirtualECare project will be presented, like similar ones that preceded it. Recently we have also assisted to a growing interest in combining the advances in information society - computing, telecommunications and presentation – in order to create Group Decision Support Systems (GDSS). Indeed, the new economy, along with increased competition in today’s complex business environments, takes the companies to seek complementarities in order to increase competitiveness and reduce risks. Under these scenarios, planning takes a major role in a company life. However, effective planning depends on the generation and analysis of ideas (innovative or not) and, as a result, the idea generation and management processes are crucial. Our objective is to apply the above presented GDSS to a new area. We believe that the use of GDSS in the healthcare arena will allow professionals to achieve better results in the analysis of one’s Electronically Clinical Profile (ECP). This achievement is vital, regarding the explosion of knowledge and skills, together with the need to use limited resources and get better results.

Psychosocial factors as predictors of quality of life in chronic portuguese patients

Background - Chronic illnesses are diseases of long duration and generally of slow progression. They cause significant quality of life impairment. The aim of this study was to analyse psychosocial predictors of quality of life and of subjective well-being in chronic Portuguese patients. Methods - Chronic disease patients (n = 774) were recruited from central Portuguese Hospitals. Participants completed self-reported questionnaires assessing socio-demographic, clinical, psychosocial and outcome variables: quality of life (HRQL) and subjective well-being (SWB). MANCOVA analyses were used to test psychosocial factors as determinants of HRQL and SWB. Results - After controlling for socio-demographic and clinical variables, results showed that dispositional optimism, positive affect, spirituality, social support and treatment adherence are significant predictors of HRQL and SWB. Similar predictors of quality of life, such as positive affect, treatment adherence and spirituality, were found for subgroups of disease classified by medical condition. Conclusions - The work identifies psychosocial factors associated with quality of life. The predictors for the entire group of different chronic diseases are similar to the ones found in different chronic disease subgroups: positive affect, social support, treatment adherence and spirituality. Patients with more positive affect, additional social support, an adequate treatment adherence and a feel-good spirituality, felt better with the disease conditions and consequently had a better quality of life. This study contributes to understanding and improving the processes associated with quality of life, which is relevant for health care providers and chronic diseases support.

Direct medical costs associated with schizophrenia relapses in health care services in the city of São Paulo

OBJECTIVE: To assess direct medical costs associated with schizophrenia relapses in mental health services. METHODS: The study was conducted in three health facilities in the city of São Paulo: a public state hospital; a Brazilian National Health System (SUS)-contracted hospital; and a community mental health center. Medical records of 90 patients with schizophrenia who received care in 2006 were reviewed. Information on inpatient expenditures was collected and used for cost estimates. RESULTS: Mean direct medical cost of schizophrenia relapses per patient was US$ 4,083.50 (R$ 8,167.58) in the public state hospital; US$ 2,302.76 (R$ 4,605.46) in the community mental health center; and US$ 1,198.50 (R$ 2,397.74) in the SUS-affiliated hospital. The main component was daily inpatient room rates (87% - 98%). Medication costs varied depending on the use of typical or atypical antipsychotic drugs. Atypical antipsychotic drugs were more often used in the community mental health center. CONCLUSIONS: Costs associated with schizophrenia relapses support investments in antipsychotic drugs and strategies to reduce disease relapse and the need for mental health inpatient services. Treating patients in a community mental health center was associated with medium costs and added the benefit of not depriving these patients from family life.

Mental health promotion during pregnancy and early childhood : an action- research project in primary health care

ABSTRACT – Background: Primary Health Care (PHC) is usually the first contact with the health system, and health professionals are key mediators for enabling citizens to take care of their health. In Portugal, great improvements have been achieved in the biometric indicators of maternal and child health during the last decades. Nevertheless, scant attention has been paid to the mental health dimension, in spite of the recognition of its importance, being pregnancy and early childhood crucial opportunities in the lifecycle for mental health promotion, especially in the early years of life, with a strong impact in the health of the child. The impact of early attachment between mother and baby on maternal and child health has long been recognized. This attachment can be influenced by some factors, as the mother’s emotional adjustment. Attention to these factors may facilitate implementation of both positive conditions and preventative measures. Family support during the transition to parenthood has been highlighted as an effective measure and PHC professionals are in a privileged position as information sources as well as mediators. Aims: The project we present describes an action-research process developed together among academic researchers and health professionals to embrace these issues. We intend to enable health professionals to support families in the transition to parenthood thereby promoting children’s mental health. Approach: The project is driven by a participatory approach intended to lead to reorganization of health care during pregnancy and early childhood. Effective change happens when those involved are interested and motivated, what makes their participation so important. Reflection about current practices and needs, and knowledge about evidence-based interventions have been guiding the selection of changes to introduce in clinical practice for family support and development of parenthood skills and self-confidence. Development: We summarize the main steps in development: the initial assessment and the picture taken from the community under study; the decision making process; the training programme of PHC professionals in action; the review of the protocols of maternal consultation, home visits and antenatal education; the implementation planning; the plan for evaluation the effectiveness of the changes introduced in the delivery of maternal and child health care units. The already developed work has shown that motivation, leadership and organizational issues are decisive for process development.-------------------------- RESUMO - Os Cuidados de Saúde Primários são habitualmente o primeiro contacto com o sistema de saúde e os profissionais de saúde são mediadores chave na capacitação dos cidadãos para cuidarem da sua saúde. Em Portugal, nas últimas décadas, têm-se alcançado grandes melhorias nos indicadores biométricos de saúde materno-infantil. Contudo, tem-se dedicado pouca atenção à dimensão de saúde mental, apesar do reconhecimento da sua importância. A gravidez e primeira infância têm sido apontadas como uma oportunidade crucial no ciclo de vida para a promoção da saúde mental. É dado especial enfoque aos primeiros tempos de vida, dado o forte impacto na saúde da criança. O impacte da vinculação precoce entre a mãe e o bebé na saúde da mãe e da criança há muito que é reconhecido. Esta vinculação pode ser influenciada por vários factores, nomeadamente pelo ajustamento emocional da mãe. A focalização nestes aspectos pode facilitar a criação de condições favoráveis e a implementação de medidas preventivas. O suporte familiar durante o período de transição para a parentalidade tem sido enfatizado como uma medida eficaz e os Cuidados de Saúde Primários estão numa posição privilegiada como fontes de informação e como mediadores. O projecto que apresentamos descreve um processo de investigação- acção desenvolvido em parceria entre investigadores académicos e profissionais de saúde para abordar os aspectos referidos. Pretende-se capacitar os profissionais de saúde para apoiarem as famílias na transição para a parentalidade, promovendo assim a saúde mental das crianças. O projecto baseia-se numa abordagem participativa, direccionada para a reorganização dos cuidados durante a gravidez e primeiros tempos de vida. A mudança efectiva acontece quando os envolvidos estão interessados e motivados, o que torna a sua participação tão importante. A reflexão acerca das práticas e necessidades actuais e o conhecimento acerca de intervenções baseadas na evidência têm guiado a selecção das alterações a introduzir na prática clínica, no sentido de promover o suporte familiar e o desenvolvimento de competências parentais e auto-confiança. Neste artigo, apresentamos as etapas principais do desenvolvimento do projecto: avaliação inicial da comunidade em estudo; processo de tomada de decisão; programa de formação dos profissionais dos Cuidados de Saúde Primários; revisão dos protocolos da consulta de saúde materna, visita domiciliária e educação pré-natal; planeamento da implementação; plano de avaliação da efectividade das alterações introduzidas na prestação de cuidados. O trabalho já desenvolvido tem mostrado que a motivação, liderança e aspectos

A Clinical Support System Based on Quality of Life Estimation

Quality of life is a concept influenced by social, economic, psychological, spiritual or medical state factors. More specifically, the perceived quality of an individual's daily life is an assessment of their well-being or lack of it. In this context, information technologies may help on the management of services for healthcare of chronic patients such as estimating the patient quality of life and helping the medical staff to take appropriate measures to increase each patient quality of life. This paper describes a Quality of Life estimation system developed using information technologies and the application of data mining algorithms to access the information of clinical data of patients with cancer from Otorhinolaryngology and Head and Neck services of an oncology institution. The system was evaluated with a sample composed of 3013 patients. The results achieved show that there are variables that may be significant predictors for the Quality of Life of the patient: years of smoking (p value 0.049) and size of the tumor (p value < 0.001). In order to assign the variables to the classification of the quality of life the best accuracy was obtained by applying the John Platt's sequential minimal optimization algorithm for training a support vector classifier. In conclusion data mining techniques allow having access to patients additional information helping the physicians to be able to know the quality of life and produce a well-informed clinical decision.

Risk-based decision support system for life cycle management of industrials plants

Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e de Computadores

Health-Related Quality of Life of Pediatric Intensive Care Survivors

Objetivo: Avaliar a qualidade de vida relacionada à saúde (QVRS)de crianças sobreviventes à alta da terapia intensiva pediátrica. Métodos: Foi realizada uma avaliação prospectiva da QVRS na admissão e após 6 meses em crianças com idade igual ou superior a 6 anos, internadas em três unidades de terapia intensiva pediátricas (UTIPs) terciárias de maio de 2002 a junho de 2004. A QVRS foi avaliada com o questionário Health Utilities Index Mark 3 (HUI3), aplicado a um representante da criança. Resultados: Das 517 admissões elegíveis, 44 crianças faleceram na UTIP (8,5%) e 320 casos foram avaliados na admissão; entre eles, foi possível realizar o seguimento de 252 casos. Não foram encontradas diferenças estatisticamente significativas entre os escores globais do HUI3 antes da admissão e no seguimento [medianas (intervalo interquartil) de 0,86 (0,42-1,00) e 0,83 (0,45-1,00); p = 0,674, respectivamente]. No âmbito individual, 21% das crianças não apresentaram mudanças na QVRS, foi observada melhora em 40% e agravamento em 38% dos casos. Deficiência grave antes da admissão (escore global do HUI3 < 0,70)esteve presente em 36% dos casos, com melhora no seguimento aos 6 meses em 60% deles. Entre aqueles que apresentaram agravamento da QVRS no seguimento, 45% eram vítimas de trauma. Conclusões: Embora a QVRS seja globalmente semelhante nas duas avaliações, foram encontradas várias diferenças no âmbito individual. As crianças com baixa QVRS antes da admissão (deficiência grave) podem se beneficiar da terapia intensiva pediátrica, visto que muitas dessas crianças melhoraram a QVRS, em comparação com seu estado pré-admissão.

Intelligent decision support to predict patient barotrauma risk in intensive care units

The occurrence of Barotrauma is identified as a major concern for health professionals, since it can be fatal for patients. In order to support the decision process and to predict the risk of occurring barotrauma Data Mining models were induced. Based on this principle, the present study addresses the Data Mining process aiming to provide hourly probability of a patient has Barotrauma. The process of discovering implicit knowledge in data collected from Intensive Care Units patientswas achieved through the standard process Cross Industry Standard Process for Data Mining. With the goal of making predictions according to the classification approach they several DM techniques were selected: Decision Trees, Naive Bayes and Support Vector Machine. The study was focused on identifying the validity and viability to predict a composite variable. To predict the Barotrauma two classes were created: “risk” and “no risk”. Such target come from combining two variables: Plateau Pressure and PCO2. The best models presented a sensitivity between 96.19% and 100%. In terms of accuracy the values varied between 87.5% and 100%. This study and the achieved results demonstrated the feasibility of predicting the risk of a patient having Barotrauma by presenting the probability associated.

Quality of life assessment of patients with schizophrenic spectrum disorders from Psychosocial Care Centers

OBJECTIVE: Assessing the quality of life and the clinical and social-demographic factors associated in schizophrenic spectrum patients (ICD-10 F20-F29) attending CAPS at the programmatic area 3.0. METHODS: A cross-sectional study was carried out in a sample of schizophrenic spectrum patients who have been enrolled in 2008 in CAPS in programmatic area (AP) 3 at Rio de Janeiro city, using MINIPLUS to assess schizophrenia spectrum disorder and use of psychoactive substances, Positive and Negative Symptoms Scale (PANSS) to assess psychiatric symptoms and Quality of Life Scale (QLS-BR) to assess the quality of life. RESULTS: Seventy nine patients were included, of whom 74 (93.7%) presented some impairment in quality of life. The most frequently affected area was occupational performance. Variables that showed a significant association with severe impairment of quality of life were: marital status, race, occupation, who patients lived with, homelessness, having children, previous psychiatric hospitalization, negative symptoms and symptoms designated as not applicable (being characterized by a lack of typical positive and negative symptoms). CONCLUSION: The knowledge of these factors should be crucial to implement health policies and psychosocial rehabilitation programs focused on improving the quality of life of these patients.

Psychiatric morbidity and quality of life of primary care attenders in two cities in Brazil

Objective: To identify the associations among quality of life (QoL), social determinants and psychological distress in primary care in two cities in Brazil. Methods: A cross-sectional study with 1,466 patients from 2009 to 2010. The statistical analysis used the t-test to compare the variables of interest to the study. Results: The prevalence of Common Mental Disorders (CMD3), severe forms of Common Mental Disorders (CMD5), anxiety and depression were 20.5%, 32%, 37% and 25.1% respectively. Thes presence of psychological distress is associated with worse QoL among the patients studied, especially those older than 40 years of age. In cases of CMD3, those with higher income and educational levels presented higher QoL in the psychical and psychological domains. For the cases of probable anxiety, those with higher educational levels presented lower scores on the physical and social relationship scores. Conclusion: Psychological distress can be associated with a worse QoL among those studied and can be influenced by socioeconomic conditions. Therefore, it is important to structure patient-centered help, which should also include patients’ social contexts.

Psychological approach to endometriosis: Women's pain experience and quality of life improvement

Endometriosis is a chronic condition affecting 10 to15% of women in childbearing age. Understanding the impact of this disease on women’s well-being is still a challenge, namely to intervene. Pain is the most current and troublesome symptom. Although medical treatments for pain relief are effective, recurrence rate remains significant, calling for a better understanding and development of new approaches for pain management. A group Cognitive Behavioral Therapy (CBT) for management of associated co-morbidities is suggested, paying special attention to Chronic Pelvic Pain (CPP). CBT design can be grounded on information collected from focus groups and a one-group exploratory trial. Evaluation of therapy effectiveness is possible to be performed by comparing group CBT to Usual Care (UC) and Support Group (SG) in a randomized controlled trial. Research in this area could represent an important step in providing a solution to the management of endometriosis and, to the best of our knowledge, the first national psychological approach for its understanding and treatment.

Methodical Bases of the Integrated Electrotechnical Complexes Life Cycle Logistic Support

Complex aspects of management by life cycle ofelectrotechnical complexes of the oil-extracting enterprises by amethod of the integrated logistic support are considered.

Psychodynamic interventions in cancer care I: psychometric results of a randomized controlled trial.

OBJECTIVE: This study aimed to assess the effectiveness of psychodynamic interventions in cancer care. METHODS: Between 2006 and 2009, each consecutive outpatient of the Oncology Center of the University Hospital of Lausanne was invited to participate in a trial evaluating the effects of psychological support. Accepting patients were randomly assigned to an immediate intervention or a delayed intervention [4-month waiting list]. Patients who declined support were asked to participate in an observational group [OG]. Socio-demographic and medical data, anxiety, and depression [HADS], psychological distress [SCL-90], alexithymia [TAS] and quality of life [EORTC] were recorded at baseline, and at 1, 4, 8, and 12-months follow-up. RESULTS: Of the 1973 approached patients, 1057 were excluded, 530 refused, and 386 were included with 196 of them participating in the OG. Of the patients in the intervention group [IG] [N = 190], 94 were randomized to the immediate intervention and 96 to the delayed intervention group (dIG). IG patients were younger, predominantly female, and had more psychological symptoms compared with those in the OG. Although patients of the IG and OG showed significant improvement in quality of life from baseline to 12-months follow-up, other outcomes [anxiety, depression, psychological distress, and alexithymia] remained unchanged. CONCLUSIONS: The intervention was not effective with regards to psychometric outcome. The results have to be interpreted in light of the study design [untargeted intervention], the low levels of psychiatric symptoms, dropout of symptomatic patients, and the high prevalence of alexithymia.