Memórias de cuidados parentais na infância, estilo de vinculação, qualidade da relação com pessoas significativas, perturbação psicopatológica e aliança terapêutica (estudo exploratório)

Esta investigação teve por objectivo explorar: a) a influência das memórias de cuidados parentais na infância, do estilo de vinculação, da qualidade da relação com pessoas significativas e da perturbação psicopatológica na qualidade da aliança terapêutica; b) a relação entre a qualidade da aliança terapêutica e os resultados psicoterapêuticos; e, c) a relação entre as mudanças na qualidade da aliança terapêutica e os resultados psicoterapêuticos. Uma amostra de 20 mães adolescentes foi avaliada, na primeira e na última (16.ª) sessão de uma intervenção psicoterapâutica, quanto às memórias de cuidados parentais na infância (EMBU), ao estilo de vinculação (ASI), ao suporte social (SESS) e à presença de perturbação psicopatológica (BSI). Tanto na 4.ª como na última sessão, pacientes e psicoterapeutas responderam a medidas de aliança terapêutica (WAI). Os resultados sugerem a existência de relações significativas entre algumas características psicológicas do paciente e a percepção da aliança terapêutica inicial, quer por parte do paciente quer por parte do terapeuta. Sugerem ainda que uma percepção positiva da aliança terapêutica, por parte do terapeuta, no início do processo terapêutico, está positivamente relacionada com os ganhos psicoterapêuticos do paciente, em termos da redução da sintomatologia psicopatológica. Os ganhos psicoterapêuticos do paciente, ao nível do estilo de vinculação e da qualidade das relações significativas, estão positivamente relacionados com uma percepção positiva da qualidade da aliança terapêutica, por parte do paciente, na última sessão. Contudo, as mudanças psicoterapêuticas positivas associadas à intervenção não parecem estar exclusivamente relacionadas com o aumento da qualidade da aliança terapêutica, observada entre o paciente e o terapeuta.

Medida da aliança parental: validação portuguesa e construção de uma versão reduzida

Objetivo: A Medida de Aliança Parental (PAM) avalia a qualidade da relação interparental na prestação de cuidados da criança. O presente artigo apresenta a validação de uma versão portuguesa da medida, bem como examina as qualidades psicométricas de uma versão reduzida com 6 itens do instrumento (PAM-R). Método: A amostra foi constituída por 182 pais (63% mães), dos quais 72 preencheram um instrumento de avaliação dos problemas de ajustamento psicológico das crianças. Resultados: As análises fatoriais confirmatórias não corroboraram a estrutura dos dois modelos testados. No entanto, excelentes valores foram encontrados nos índices de adequação do modelo da PAM-R. Não foram encontrados erros de especificação no modelo unidimensional testado, o que suporta a validade fatorial da versão reduzida da PAM. A PAM-R apresentou excelentes valores de consistência interna e uma correlação negativa e significativa com a medida de problemas de ajustamento das crianças. Conclusões: PAM-R emerge como uma medida que possibilita a avaliação do impacto das dimensões familiares no funcionamento e desenvolvimento psicológico das crianças, em contextos de prestação de cuidados de saúde primários.

Aggregating community resources of care and assistance services for the elderly population

Changes in population age structure are a major concern and represent a priority in the agendas and policies of the developed world, which are demanding for renewed models of social and healthcare as well as assistance services to the elderly population. Studies indicate that as far as possible these types of services should desirably be provided at the user’s home, and that ICT-based solutions can have tremendous impact on the delivery of new services. This paper highlight and discusses some of the main results of a project undertaken in a Portuguese Municipality that demonstrates the potential contribution of an e-Marketplace of care and assistance services to the well-being of elderly people. Studies undertaken allowed identifying the main services that should be provided by such e-Marketplace (termed GuiMarket), the relevance that the population grant to this platform and, conversely, the fact that the Digital Divide phenomena influences the potential utilization of this project (and alike projects). The findings support that there is a strong relation between age and qualifications, and between access to ICT and the intended use of GuiMarket.

Child abuse monitor system model: a health care critical knowledge monitor system

The Childhood protection is a subject with high value for the society, but, the Child Abuse cases are difficult to identify. The process from suspicious to accusation is very difficult to achieve. It must configure very strong evidences. Typically, Health Care services deal with these cases from the beginning where there are evidences based on the diagnosis, but they aren’t enough to promote the accusation. Besides that, this subject it’s highly sensitive because there are legal aspects to deal with such as: the patient privacy, paternity issues, medical confidentiality, among others. We propose a Child Abuses critical knowledge monitor system model that addresses this problem. This decision support system is implemented with a multiple scientific domains: to capture of tokens from clinical documents from multiple sources; a topic model approach to identify the topics of the documents; knowledge management through the use of ontologies to support the critical knowledge sensibility concepts and relations such as: symptoms, behaviors, among other evidences in order to match with the topics inferred from the clinical documents and then alert and log when clinical evidences are present. Based on these alerts clinical personnel could analyze the situation and take the appropriate procedures.

Clustering-based approach for categorizing pregnant women in obstetrics and maternity care

When a pregnant woman is guided to a hospital for obstetrics purposes, many outcomes are possible, depending on her current conditions. An improved understanding of these conditions could provide a more direct medical approach by categorizing the different types of patients, enabling a faster response to risk situations, and therefore increasing the quality of services. In this case study, the characteristics of the patients admitted in the maternity care unit of Centro Hospitalar of Porto are acknowledged, allowing categorizing the patient women through clustering techniques. The main goal is to predict the patients’ route through the maternity care, adapting the services according to their conditions, providing the best clinical decisions and a cost-effective treatment to patients. The models developed presented very interesting results, being the best clustering evaluation index: 0.65. The evaluation of the clustering algorithms proved the viability of using clustering based data mining models to characterize pregnant patients, identifying which conditions can be used as an alert to prevent the occurrence of medical complications.

Predicting preterm birth in maternity care by means of data mining

Worldwide, around 9% of the children are born with less than 37 weeks of labour, causing risk to the premature child, whom it is not prepared to develop a number of basic functions that begin soon after the birth. In order to ensure that those risk pregnancies are being properly monitored by the obstetricians in time to avoid those problems, Data Mining (DM) models were induced in this study to predict preterm births in a real environment using data from 3376 patients (women) admitted in the maternal and perinatal care unit of Centro Hospitalar of Oporto. A sensitive metric to predict preterm deliveries was developed, assisting physicians in the decision-making process regarding the patients’ observation. It was possible to obtain promising results, achieving sensitivity and specificity values of 96% and 98%, respectively.

Step towards multiplatform framework for supporting pediatric and neonatology care unit decision process

Children are an especially vulnerable population, particularly in respect to drug administration. It is estimated that neonatal and pediatric patients are at least three times more vulnerable to damage due to adverse events and medication errors than adults are. With the development of this framework, it is intended the provision of a Clinical Decision Support System based on a prototype already tested in a real environment. The framework will include features such as preparation of Total Parenteral Nutrition prescriptions, table pediatric and neonatal emergency drugs, medical scales of morbidity and mortality, anthropometry percentiles (weight, length/height, head circumference and BMI), utilities for supporting medical decision on the treatment of neonatal jaundice and anemia and support for technical procedures and other calculators and widespread use tools. The solution in development means an extension of INTCare project. The main goal is to provide an approach to get the functionality at all times of clinical practice and outside the hospital environment for dissemination, education and simulation of hypothetical situations. The aim is also to develop an area for the study and analysis of information and extraction of knowledge from the data collected by the use of the system. This paper presents the architecture, their requirements and functionalities and a SWOT analysis of the solution proposed.

Step towards a patient timeline in intensive care units

In Intensive Medicine, the presentation of medical information is done in many ways, depending on the type of data collected and stored. The way in which the information is presented can make it difficult for intensivists to quickly understand the patient's condition. When there is the need to cross between several types of clinical data sources the situation is even worse. This research seeks to explore a new way of presenting information about patients, based on the timeframe in which events occur. By developing an interactive Patient Timeline, intensivists will have access to a new environment in real-time where they can consult the patient clinical history and the data collected until the moment. The medical history will be available from the moment in which patients is admitted in the ICU until discharge, allowing intensivist to examine data regarding vital signs, medication, exams, among others. This timeline also intends to, through the use of information and models produced by the INTCare system, combine several clinical data in order to help diagnose the future patients’ conditions. This platform will help intensivists to make more accurate decision. This paper presents the first approach of the solution designed

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 institutional care and early childhood development

Institutional rearing adversely affects children’s development, but the extent to which specific characteristics of the institutional context and the quality of care provided contribute to problematic development remains unclear. In this study, 72 preschoolers institutionalised for at least 6 months were evaluated by their caregiver using the Child Behavior Checklist and the Disturbances of Attachment Interview. Distal and proximate indices of institutional caregiving quality were assessed using both staff reports and direct observation. Results revealed that greater caregiver sensitivity predicted reduced indiscriminate behaviour and secure-base distortions. A closer relationship with the caregiver predicted reduced inhibited attachment behaviour. Emotional and behavioural problems proved unrelated to caregiving quality. Results are discussed in terms of (non)-shared caregiving factors that influence institutionalised children’s development.

Perspectivas de pais e filhos sobre os videojogos - da investigação aos processos de mediação parental

Este texto pretende conjugar três aspectos que envolvem actores e dimensões diferentes. Por um lado, procura destacar a relevância que os videojogos têm na vida das crianças e dos jovens. Depois, tenta compreender o papel dos pais para fomentar uma relação equilibrada, saudável e crítica com os videojogos. Finalmente, contextualiza a criação de um material, um booklet, que propõe fornecer dados aos pais que lhes permitam estar informados e compreender o mundo dos videojogos, que conhecem, grande parte das vezes, graças aos consumos que os seus filhos fazem.

Regresso ao trabalho: vivências conflituantes no exercício do papel parental

Este estudo procurou compreender as experiências das mães que regressam ao trabalho após o término da licença parental, com a finalidade de poder contribuir para a melhoria da qualidade dos cuidados de enfermagem prestados à família nesta etapa de transição no exercício da parentalidade. Foi realizado com recurso ao referencial metodológico da Grounded Theory, com a participação de cinco pais e cinco mães (casais), profissionalmente ativos, com idades compreendidas entre os 26 e 33 anos e com filho nascido de termo e saudável; recolha de dados através de entrevistas semiestruturadas (total de 30 entrevistas), antes e após o reinício da atividade laboral materna. Os resultados explanam a difícil e desafiadora coexistência de papéis desempenhados pela mulher trabalhadora quando se torna mãe e retratam o sofrimento vivido pela mãe por não poder estar constantemente com o filho ao retomar a atividade profissional, finda a licença parental. Desafiam os enfermeiros a dinamizarem estratégias que facilitem e promovam a saúde das mães trabalhadoras, com orientação antecipatória sobre as realidades do retorno ao trabalho no pós-parto.

“It’s a complicated situation”. Harm in everyday experiences with technology. A qualitative study with school-aged children

Tese de Doutoramento em Ciências da Educação (Especialidade de Tecnologia Educativa)

Real-time monitoring of progression towards renal failure in primary care patients

First published online: December 16, 2014.

Typologies of post-divorce coparenting and parental well-being, parenting quality and children’s psychological adjustment

First published online: 30 October 2015