DETERMINANTES NA PRODUÇÃO DE ERRO NO TRABALHO EM ENFERMAGEM

Objective: to analyze conditions that determine the production of errors in nursing work. Method: documentary, analytical, qualitative research. Data collected in 19 ethical-disciplinary processes, in the period from 2000 to 2018, whose object of complaint is the error made by nursing workers. The Thematic Content Analysis proposed by Bardin and the Theory of Social Production interpreted by Carlos Matus were used. Results: nursing techniques and auxiliaries are the most reported workers, medication error is the most frequent, job precariousity is a determining condition in the occurrence of errors in the analyzed processes. Final considerations: structural conditions of error production in nursing work predominate, allowing to refute the hegemonic notion in nursing work of error as a moral phenomenon.Objetivo: analizar las condiciones que determinan la producción de errores en el trabajo de enfermería. Método: investigación documental, analítica, cualitativa. Datos recogidos en 19 procesos ético-disciplinarios, en el periodo de 2000 a 2018, cuyo objeto de queja es el error cometido por los trabajadores de enfermería. Se utilizó el Análisis de Contenido Temático propuesto por Bardin y la Teoría de la Producción Social interpretada por Carlos Matus. Resultados: las técnicas de enfermería y auxiliares son los trabajadores más reportados, el error de medicación es el más frecuente, la precariedad laboral es una condición determinante en la ocurrencia de errores en los procesos analizados. Consideraciones finales: predominan las condiciones estructurales de producción de error en el trabajo de enfermería, lo que permite refutar la noción hegemónica en el trabajo de enfermería del error como fenómeno moralObjetivo: analisar condições determinantes para a produção de erro no trabalho em enfermagem. Método: pesquisa documental, analítica, qualitativa. Dados coletados em 19 processos ético-disciplinares, no período de 2000 a 2018, cujo objeto de denúncia foi o erro cometido por trabalhadoras em enfermagem. Empregou-se a Análise de Conteúdo Temática proposta por Bardin e a Teoria da Produção Social interpretada por Carlos Matus. Resultados: as técnicas e auxiliares em enfermagem foram as trabalhadoras mais denunciadas; o erro de medicação foi o mais frequente; a precarização do trabalho foi condição determinante na ocorrência de erros nos processos analisados. Considerações finais: predominaram condições estruturais de produção de erro no trabalho em enfermagem, permitindo refutar a noção hegemônica do erro como fenômeno moral no trabalho em enfermagem. Descritores: Enfermagem. Trabalho. Condições de Trabalho. Erros Médicos. Segurança do Paciente

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

A cross exploratory analysis between nursing working conditions and the occurrence of errors in the northeast region of Brazil

Analyze and verify the association between working conditions and the occurrence of errors in nursing work. Many of the known errors in nursing are based on the structural failure of the complex health service system. Our study addresses the question “Is there an association between errors made by nursing workers and working conditions?” The study was carried out through a cross-sectional exploratory analysis of 19 ethical-disciplinary processes focused on errors made by nursing workers. The articles were processed, judged, and archived at the Regional Nursing Councils of the Northeast Region of Brazil from 2000 to 2018. The chi-square test or Fisher's exact test was used to verify the relationship between the variables through multivariate analysis. The analyzes show that working conditions can interfere at occurrence in error. This increases the chance of an “inconsequential” error occurring for the patient in poor/very poor working conditions. The most serious errors, “with consequences irreversible” for the patient, only occur from more severe working conditions. Adversely, it was found that there is no statistically significant difference in the frequency of errors in hospitals (33.33 %) compared to “other places” (28.58 %) when these occurred in poor working conditions. When conducting the incident in poor working conditions, there was a minimum of 52 % protection OR = 0.48 % [0.16; 11.80]; (1–0.48)) against these errors in general in the nursing area. The strong association was exposed in working conditions classified as bad/very bad/very bad, resulting in the most serious errors and with irreversible consequences for patients. However, a level of protection for different types of workers was noticed in the field, which shows that there is hope that if the work environment changes with more organization, management, and standards of care, we can prevent future errors. •The study reveals the need for greater managerial supervision of services and prioritizing the provision of quality care.•There was no difference in the frequency of errors in hospitals compared to other places when in poor working conditions.•There is an association between working conditions and the period in which errors occur when in poor conditions