Formação e trabalho do ponto de vista da atividade: pistas a partir da confrontação entre uma UTI neonatal e um esquadrão de voo militar

Esta tese teve como objetivo a discussão teórica sobre a formação e a transmissão no/pelo/para o trabalho, a partir da confrontação entre dois campos empíricos. Buscou-se estratégias/pistas de efetividade dessa transmissão, de modo a conciliar saúde & segurança com as demandas de incremento de produtividade & qualidade. Investigaram-se as atividades de auxiliares de enfermagem numa UTI neonatal e de mecânicos de aeronave (flights engineers) em um esquadrão de voo militar. As ferramentas teórico-metodológicas utilizadas foram abordagens clínicas sobre o trabalhar (Ergonomia da Atividade, Clínica da Atividade, Psicodinâmica do Trabalho, proposições sobre relações de serviço e o modelo da competência), sob a orientação da perspectiva ergológica. Os resultados apontam encontros e controvérsias entre os campos empíricos. Os encontros seriam: caracterizam-se como ofícios com grande força coletiva interna, tendo desenvolvido maneiras próprias de transmitir conhecimentos e saberes-fazer, especialmente, durante a própria realização do trabalho; apresentam certo fechamento em seus coletivos, dificultando a ampliação da visão de profissão/ofício para uma noção voltada à ideia de profissionalismo e trabalho em rede entre as auxiliares, uma dificuldade principalmente na inserção das mães dos recém-nascidos internados na equipe de cuidados na Unidade Neonatal e, com os flights, o problema parece ser uma dificuldade em expandir seu ofício/ profissão para além daquele que envolve a sua função em risco de extinção; carência do ingrediente da competência referente à qualificação formal. As controvérsias seriam: mesmo invisibilizada, a dimensão relacional da atividade das auxiliares é, apesar de naturalizada no universo feminino, considerada importante neste domínio. Já, para os flights, mesmo se esta dimensão é fundamental não apenas para a operação, mas também para a formação e aprendizagem da profissão, ela parece manter-se velada na aviação militar; sobre a dinâmica de transmissão de saberes-fazer entre os profissionais, encontramos, entre as auxiliares, o dispositivo sombra representando uma forma de inserção minimamente satisfatória que considera a transmissão de saberes ligados aos aspectos relacionais do trabalho e, entre os flights, dificuldades na assunção de fragilidades vivenciadas pelos profissionais em formação; a partir de uma forte auto-valorização em comum - especialmente dos antigos a respeito de seu histórico e sua inserção heróica naqueles meios de trabalho -, a saída encontrada por cada grupo seguiu direções opostas: entre as auxiliares criou-se um dispositivo de formação para as novatas que é mais eficaz do que a formação das antigas, com os flights, parece não se ter criado um dispositivo mais eficaz, mantendo-se os antigões como heróis inalcançáveis. As conclusões indicam que, se ambos os grupos criaram estratégias de auto-valorização e auto-proteção - os flights, pela condição limite do futuro de seu ofício e as auxiliares, pela sua origem, baseada num corte de classe social e na diferenciação da qualidade da formação profissional (entre enfermeiras e auxiliares) em ambos, o fortalecimento da profissão possibilitou conquistar espaços em meio a trajetórias profissionais à margem de itinerários formativos reconhecidos. Aponta-se, assim, a necessidade de dar visibilidade aos saberes e competências transmitidos cotidianamente no trabalho, viabilizando sua sistematização em programas de formação situados sob o ponto de vista da atividade.

Development of process control methodology for tracking the quality and safety of pain, agitation and sedation management in critical care units

Objective: To develop sedation, pain, and agitation quality measures using process control methodology and evaluate their properties in clinical practice. Design: A Sedation Quality Assessment Tool was developed and validated to capture data for 12-hour periods of nursing care. Domains included pain/discomfort and sedation-agitation behaviors; sedative, analgesic, and neuromuscular blocking drug administration; ventilation status; and conditions potentially justifying deep sedation. Predefined sedation-related adverse events were recorded daily. Using an iterative process, algorithms were developed to describe the proportion of care periods with poor limb relaxation, poor ventilator synchronization, unnecessary deep sedation, agitation, and an overall optimum sedation metric. Proportion charts described processes over time (2 monthly intervals) for each ICU. The numbers of patients treated between sedation-related adverse events were described with G charts. Automated algorithms generated charts for 12 months of sequential data. Mean values for each process were calculated, and variation within and between ICUs explored qualitatively. Setting: Eight Scottish ICUs over a 12-month period. Patients: Mechanically ventilated patients. Interventions: None. Measurements and Main Results: The Sedation Quality Assessment Tool agitation-sedation domains correlated with the Richmond Sedation Agitation Scale score (Spearman [rho] = 0.75) and were reliable in clinician-clinician (weighted kappa; [kappa] = 0.66) and clinician-researcher ([kappa] = 0.82) comparisons. The limb movement domain had fair correlation with Behavioral Pain Scale ([rho] = 0.24) and was reliable in clinician-clinician ([kappa] = 0.58) and clinician-researcher ([kappa] = 0.45) comparisons. Ventilator synchronization correlated with Behavioral Pain Scale ([rho] = 0.54), and reliability in clinician-clinician ([kappa] = 0.29) and clinician-researcher ([kappa] = 0.42) comparisons was fair-moderate. Eight hundred twenty-five patients were enrolled (range, 59-235 across ICUs), providing 12,385 care periods for evaluation (range 655-3,481 across ICUs). The mean proportion of care periods with each quality metric varied between ICUs: excessive sedation 12-38%; agitation 4-17%; poor relaxation 13-21%; poor ventilator synchronization 8-17%; and overall optimum sedation 45-70%. Mean adverse event intervals ranged from 1.5 to 10.3 patients treated. The quality measures appeared relatively stable during the observation period. Conclusions: Process control methodology can be used to simultaneously monitor multiple aspects of pain-sedation-agitation management within ICUs. Variation within and between ICUs could be used as triggers to explore practice variation, improve quality, and monitor this over time

Understanding nurses’ decision-making when managing weaning from mechanical ventilation: a study of novice and experienced critical care nurses in Scotland and Greece.

Aim and objectives To examine how nurses collect and use cues from respiratory assessment to inform their decisions as they wean patients from ventilatory support. Background Prompt and accurate identification of the patient's ability to sustain reduction of ventilatory support has the potential to increase the likelihood of successful weaning. Nurses' information processing during the weaning from mechanical ventilation has not been well-described. Design A descriptive ethnographic study exploring critical care nurses' decision-making processes when weaning mechanically ventilated patients from ventilatory support in the real setting. Methods Novice and expert Scottish and Greek nurses from two tertiary intensive care units were observed in real practice of weaning mechanical ventilation and were invited to participate in reflective interviews near the end of their shift. Data were analysed thematically using concept maps based on information processing theory. Ethics approval and informed consent were obtained. Results Scottish and Greek critical care nurses acquired patient-centred objective physiological and subjective information from respiratory assessment and previous knowledge of the patient, which they clustered around seven concepts descriptive of the patient's ability to wean. Less experienced nurses required more encounters of cues to attain the concepts with certainty. Subjective criteria were intuitively derived from previous knowledge of patients' responses to changes of ventilatory support. All nurses used focusing decision-making strategies to select and group cues in order to categorise information with certainty and reduce the mental strain of the decision task. Conclusions Nurses used patient-centred information to make a judgment about the patients' ability to wean. Decision-making strategies that involve categorisation of patient-centred information can be taught in bespoke educational programmes for mechanical ventilation and weaning. Relevance to clinical practice Advanced clinical reasoning skills and accurate detection of cues in respiratory assessment by critical care nurses will ensure optimum patient management in weaning mechanical ventilation

Neonatal EEG classification using atomic decomposition

The electroencephalogram (EEG) is an important noninvasive tool used in the neonatal intensive care unit (NICU) for the neurologic evaluation of the sick newborn infant. It provides an excellent assessment of at-risk newborns and formulates a prognosis for long-term neurologic outcome.The automated analysis of neonatal EEG data in the NICU can provide valuable information to the clinician facilitating medical intervention. The aim of this thesis is to develop a system for automatic classification of neonatal EEG which can be mainly divided into two parts: (1) classification of neonatal EEG seizure from nonseizure, and (2) classifying neonatal background EEG into several grades based on the severity of the injury using atomic decomposition. Atomic decomposition techniques use redundant time-frequency dictionaries for sparse signal representations or approximations. The first novel contribution of this thesis is the development of a novel time-frequency dictionary coherent with the neonatal EEG seizure states. This dictionary was able to track the time-varying nature of the EEG signal. It was shown that by using atomic decomposition and the proposed novel dictionary, the neonatal EEG transition from nonseizure to seizure states could be detected efficiently. The second novel contribution of this thesis is the development of a neonatal seizure detection algorithm using several time-frequency features from the proposed novel dictionary. It was shown that the time-frequency features obtained from the atoms in the novel dictionary improved the seizure detection accuracy when compared to that obtained from the raw EEG signal. With the assistance of a supervised multiclass SVM classifier and several timefrequency features, several methods to automatically grade EEG were explored. In summary, the novel techniques proposed in this thesis contribute to the application of advanced signal processing techniques for automatic assessment of neonatal EEG recordings.

Extravascular lung water indexed to predicted body weight is a novel predictor of intensive care unit mortality in patients with acute lung injury

Objectives: Acute lung injury and the acute respiratory distress syndrome are characterized by noncardiogenic pulmonary edema, which can be assessed by measurement of extravascular lung water. Traditionally, extravascular lung water has been indexed to actual body weight (mL/kg). Because lung size is dependent on height rather than weight, we hypothesized indexing to predicted body weight may be a better predictor of mortality in acute lung injury/acute respiratory distress syndrome.