Identificação do risco de deterioração fisiológica no pré-hospitalar

Enquadramento – A Early Warning Scores é uma escala de alerta, baseada num sistema de atribuição de pontos (scores) aos parâmetros vitais e deterioração do SNC, sendo a sua principal finalidade a identificação precoce do risco de deterioração fisiológica do doente. Objetivos – Determinar os parâmetros da escala que foram avaliados; identificar a periodicidade de avaliação dos parâmetros da escala; determinar as situações identificadas como risco de deterioração fisiológica; avaliar as propriedades psicométricas da escala Early Warning Scores (validade e fiabilidade). Material e Método – Estudo quantitativo e descritivo-correlacional, cuja população alvo consistiu nos doentes vítimas de acidente ou doença súbita, submetidos a atendimentos por parte de enfermeiros afetos ao INEM, nomeadamente nas ambulâncias de Suporte Imediato de Vida, mediante ativação via 112. O instrumento de avaliação utilizado consiste na Escala Early Warning Scores. Resultados – Verificou-se que o índice de fiabilidade se traduziu num valor de alfa de Cronbach, para a globalidade da escala, fraco (α=0.462). Concluiu-se que houve uma redução progressiva dos scores, em termos de risco, indicando a ocorrência de uma deteção precoce da degradação clínica dos 214 doentes, o que se traduziu numa atuação mais eficaz no pré-hospitalar. Conclusão - A redução progressiva dos scores, em termos de risco ao longo dos três momentos de avaliação com a Early Warning Scores, sugere que houve uma deteção precoce da degradação clínica dos doentes, resultando numa atuação mais eficaz no pré-hospitalar. Palavras-chave: Pré-hospitalar; Risco de deterioração fisiológica; Early Warning Scores.

The domiciliary support in the vision of the informal care provider

The home support services are a social response in order to improve the quality of life directed predominantly for the elderly and for people with varying degrees of disability and dependence. Examples of those services are hygiene and personal comfort, medication, housekeeping and cleaning, preparation and monitoring of the meals; the dressing, etc. It is necessary to make society aware of the importance of these services to all those who need them. The general objective was to understand the most important relationships among informal caregivers, those who are care and home support services providers. Material and Methods. Data were collected through a questionnaire, using the various dimensions of the construct Quality SERVPERF model of service that matches the 22 items of SERVQUAL model. The various items used to assess the perception of care individuals and informal caregivers about the quality of home care services. 82 individuals participated providers of informal care, to receive home support services, and exclusion criteria, the fact of having a diagnosed psychiatric illness or psychological factors that prevent them from responding. The analysis was performed with SPSS and SEM-PLS for the estimation of the proposed structural model. Written consent was obtained, free and clear of each subject. Results and Conclusions. The results showed that the relationships with healthcare professionals are the most important positive effects on satisfaction. This research emphasizes the need to work closely with health professionals to improve the relationship between technicians and patients. Although current constructs appear to explain much of the satisfaction, it is recommended that the future researches exploit new variables, to get a better understanding of the effects of public health policies on the quality of life of these patients.

Quality of life and chronic disease in patients receiving primary health care

Problem Statement: Chronic disease entails physical, psychological and social issues with a decrease in the quality of life. The assessment of QoL has been applied as indicator in patients with chronic diseases. Research Questions: What is the quality of life in patients with chronic disease? What are the socio-demographic variables that influence the quality of life in patients? Purpose: To assess the quality of life in patients suffering from chronic disease and identify socio-demographic variables which influence the quality of life of patients suffering from chronic disease. Research Methods: We conducted a cross-sectional analytical study using a sample composed of 228 users (134 females) from a Family Health Unit in the municipality of Viseu. Data collection was made by means of a questionnaire, consisting of sociodemographic variables, the SF-12 scale and the existence of chronic disease was assessed through the questions – “Do you currently suffer from any chronic disease?”; “If so, which one(s)?”. Findings: The most common chronic diseases were hypertension (59.9%). Female patients with a chronic disease reported worse physical functioning, role-physical and role-emotional; increased bodily pain and better quality of life regarding general health. Male patients showed worse role-physical, increased bodily pain and vitality. Sociodemographic variables which were associated with quality of life were area of residence, academic qualifications and work situation. Conclusion: Chronic disease affects quality of life negatively. Quality of life in both patients groups was associated with socio-demographic variables. Health-related quality of life is an essential issue and should be considered as a priority in health policies.