O artigo apresenta resultados de pesquisa sobre o trabalho docente e a educação básica com a pandemia do coronavírus (Covid-19). Expõe aspectos operacionais e metodológicos da pesquisa com 15.654 professores das redes públicas de ensino do país e cujos dados foram coletados por meio de formulário eletrônico. O texto traz informações sobre o suporte institucional oferecido pelas redes de ensino e os recursos tecnológicos de professores e estudantes para desenvolver as atividades. Aborda, ainda, a carga de trabalho dos professores e a participação dos estudantes nas atividades. Dentre os resultados obtidos, destacam-se a significativa variação de condições entre redes públicas de ensino e a relativa sobrecarga de trabalho dos professores.
The objective of this study was to describe dental prescriptions of non-steroidal anti-inflammatory drugs (NSAID), opioids, and analgesics dispensed by the Brazilian National Health System (BNHS, SUS in Portuguese) of a Southeastern state from January to December 2017, and to analyze their association with socioeconomic and oral health care services' characteristics at municipal level. Data were collected from the Brazilian Integrated Pharmaceutical Care Management System. Medicines were grouped according to the Anatomical Therapeutic Chemical Classification System. The total number of Defined Daily Doses (DDD) and DDD per 1,000 inhabitants (inhab.) per year were presented and compared between groups of municipalities. Data analysis used the Classification and Regression Tree model performed with IBM SPSS 25.0. The total number of NSAID, opioids, and analgesics prescriptions was 70,747 and accounted for 354,221.13 DDD. The most frequently prescribed medicine was ibuprofen (n = 24,676; 34.88%). The number of dental practitioners in the BNHS per 1,000 inhab. (p < 0.001), first dental appointment coverage (p = 0.010), oral health teams per 1,000 inhab. (p=0.022), and the proportion of rural population (p = 0.014) were variables positively associated with the number of DDD of NSAID per 1,000 inhab. per year. Bolsa Família program coverage per 1,000 inhab. (p = 0.022) was negatively associated with NSAID prescription. Regarding analgesics, first dental appointment coverage (p=0.002) and Bolsa Família program coverage per 1,000 inhab. (p = 0.012) were positively associated with DDD per 1,000 inhab. per year. In conclusion, dental prescriptions of analgesics and NSAID in the BNHS were associated with socioeconomic and oral health care services' characteristics.
Este artigo propõe medidas que permitem conhecer um fenômeno bastante recorrente nos estabelecimentos de ensino: a retenção e a rotatividade docente. Os fatores relacionados a essas medidas variam desde uma mobilidade interna às redes de ensino até o abandono da profissão. São utilizados os dados do Censo Escolar, desenvolvido pelo Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira - Inep -, referentes a 2012 e 2013. Esses indicadores permitem: fornecer visão sistêmica da capacidade do sistema de educação nacional de garantir a permanência dos docentes nos estabelecimentos de ensino; contextualizar estudos e pesquisas da área da educação; e prover dados para analisar os fatores preditores e resultantes.
The objective of this study was to analyze possible associations between antibiotic dental prescriptions in the public health service, health service characteristics, and social characteristics of the municipalities. Using the register of dispensing in the public health service of a state in the Southeast region of Brazil, in 2017 we analyzed patterns of antibiotic prescriptions by dentists. Data were obtained from the Integrated Pharmaceutical Services Management System (SIGAF, in Portuguese). The outcome variable was the number of Daily Defined Doses (DDD) per 1,000 residents/year in each municipality. CART (Classification and Regression Tree) technique was used to determine the influence of the following variables: populational social characteristics (Human Development Index, Gini Index, the proportion of rural population and proportion of families benefiting from the Bolsa Família Program) and oral health services characteristics (access to individual dental care, number of dentists and oral health teams per 1,000 residents, and percentage of preventive and restorative individual dental procedures. Data analysis was performed using IBM SPSS Statistics 21.0. Antibiotics were the medications most prescribed by dentists in the public health service, with penicillin being the most frequently prescribed class. The average DDD/1,000 residents/year for the 421 municipalities surveyed was 96.54 (range 0.008 and 619.660). Select factors were associated with antibiotic prescriptions including access to individual dental care (Adjusted p-value ≤0.001), a number of oral health teams/1,000 inhabitants (Adjusted p-value=0.001), and Gini Index (Adjusted p-value = 0.046). Access to oral health services and inequality were associated with the use of antibiotics.
This article aims to investigate the association between socioeconomic factors, health care organizations, and the use of a management and monitoring system for the dispensing of antibiotics prescribed by dentists in public health services in Minas Gerais, Brazil. This is an ecological-epidemiological study that analyzed secondary data from the Integrated Pharmaceutical Care Management System (SIGAF) of the Department of Health of the state of MG, Brazil, in 2017. Thirteen independent variables were analyzed to assess their influence on municipal adherence to SIGAF system considering dental prescriptions of antibiotics. Descriptive statistical analyses were performed, and the Classification and Regression Tree technique was used to identify the municipal variables associated with the outcome. A total of 57,279 antibiotic courses prescribed by dentists and recorded in SIGAF were examined. Socioeconomic factors were not associated with the use of SIGAF to record these prescriptions. Oral healthcare coverage was positively associated with the use of SIGAF for the dispensing of antibiotics prescribed by dentists. Dental Specialties Center were negatively associated with the outcome. Municipalities with high oral healthcare coverage and those without a Dental Specialties Center were more likely to use SIGAF.
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