No abstract

O estudo objetivou analisar a organização do processo de trabalho das Equipes de Atenção Básica das regiões de saúde do estado do Rio de Janeiro, a partir dos resultados do primeiro ciclo da Avaliação Externa do PMAQ-AB. Foram consideradas para análise quatro subdimensões do módulo II, cotejadas com as características do processo de trabalho da Política Nacional de Atenção Básica. Observou-se que o processo de Avaliação Externa estimulou o planejamento das ações das equipes, contudo ainda possuem entraves tanto para a gestão quanto para as equipes sobre o aproveitamento das informações em saúde, a precariedade de recursos humanos e a institucionalização da avaliação propriamente dita.

Background: Lifestyle Medicine (LM) aims to address six main behavioral domains: diet/nutrition, substance use (SU), physical activity (PA), social relationships, stress management, and sleep. Digital Health Interventions (DHIs) have been used to improve these domains. However, there is no consensus on how to measure lifestyle and its intermediate outcomes aside from measuring each behavior separately. We aimed to describe (1) the most frequent lifestyle domains addressed by DHIs, (2) the most frequent outcomes used to measure lifestyle changes, and (3) the most frequent DHI delivery methods.Methods: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) Extension for Scoping Reviews. A literature search was conducted using MEDLINE, Cochrane Library, EMBASE, and Web of Science for publications since 2010. We included systematic reviews and meta-analyses of clinical trials using DHI to promote health, behavioral, or lifestyle change.Results: Overall, 954 records were identified, and 72 systematic reviews were included. Of those, 35 conducted meta-analyses, 58 addressed diet/nutrition, and 60 focused on PA. Only one systematic review evaluated all six lifestyle domains simultaneously; 1 systematic review evaluated five lifestyle domains; 5 systematic reviews evaluated 4 lifestyle domains; 14 systematic reviews evaluated 3 lifestyle domains; and the remaining 52 systematic reviews evaluated only one or two domains. The most frequently evaluated domains were diet/nutrition and PA. The most frequent DHI delivery methods were smartphone apps and websites.Discussion: The concept of lifestyle is still unclear and fragmented, making it hard to evaluate the complex interconnections of unhealthy behaviors, and their impact on health. Clarifying this concept, refining its operationalization, and defining the reporting guidelines should be considered as the current research priorities. DHIs have the potential to improve lifestyle at primary, secondary, and tertiary levels of prevention—but most of them are targeting clinical populations. Although important advances have been made to evaluate DHIs, some of their characteristics, such as the rate at which they become obsolete, will require innovative research designs to evaluate long-term outcomes in health.

OBJECTIVE To evaluate the performance of the Mobile Emergency Medical Services (SAMU) in the ABC Region, using myocardial infarction as tracer condition.METHODS The analysis of interrupted time series was the approach chosen to test immediate and gradual effects of the intervention on the study population. The research comprised adjusted monthly time series of the hospital mortality rate by myocardial infarction in the period between 2000 and 2011. Data were extracted from the Mortality Information System (SIM), using segmented regression analysis to evaluate the level and trend of the intervention before and after its implementation. To strengthen the internal validity of the study, a control region was included.RESULTS The analysis of interrupted time series showed a reduction of 0.04 deaths per 100,000 inhabitants in the mortality rate compared to the underlying trend since the implementation of the Emergency Medical Services (p = 0.0040; 95%CI: −0.0816 – −0.0162) and a reduction in the level of 2.89 deaths per 100,000 inhabitants (p = 0.0001; 95%CI: −4.3293 – −1.4623), both with statistical significance. Regarding the control region, Baixada Santista, the difference in the result trend between intervention outcome and post-intervention control of −0.0639 deaths per 100,000 inhabitants was statistically significant (p = 0.0031; 95%CI: −0.1060 – −0.0219). We cannot exclude confounders, but we limited their presence in the study by including control region series.CONCLUSIONS Although the analysis of interrupted time series has limitations, this modeling can be useful for analyzing the performance of policies and programs. Even though the intervention studied is not a condition that in itself implies effectiveness, the latter would not be present without the former, which, integrated with other conditions, generates a positive result. SAMU is a strategy that must be expanded when formulating and consolidating policies focusing on emergency care.

Resumo Este artigo tem como objetivo analisar a perspectiva de gestores e profissionais sobre o desempenho do SAMU na região do Grande ABC. Trata-se de estudo de caso, de abordagem qualitativa, baseado na formulação de modelo teórico-lógico da intervenção e entrevistas semiestruturadas. O Modelo teórico-lógico traduziu as dimensões de análise do SAMU: regulação, assistência e gestão. O processo de regulação foi entendido como espaço estratégico onde o julgamento da necessidade do paciente e o tempo de despacho da ambulância tem potencial de influenciar nos desfechos dos casos transportados. Na assistência os principais temas que emergiram foram investimento na qualificação da equipe e em telemedicina com a perspectiva de melhorar a qualidade do cuidado e tornar o diagnóstico mais preciso. No âmbito da gestão desafios como integração do SAMU com centros terciários, aperfeiçoamento do sistema de informação e monitoramento e avaliação foram destacados visando qualificar os processos regulatórios alinhando-os aos objetivos propostos na política de saúde. O conjunto de dados analisados reforça a capacidade do SAMU na atenção de urgência na região, no entanto a intervenção precisa superar importantes desafios em busca de melhor prognóstico entre os casos transportados.