Human resources issues and Australian Disaster Medical Assistance Teams: results of a national survey of team members

Background: Calls for disaster medical assistance teams (DMATs) are likely to continue in response to international disasters. As part of a national survey, this study was designed to evaluate Australian DMAT experience in relation to the human resources issues associated with deployment.\ud \ud Methods: Data was collected via an anonymous mailed survey distributed via State and Territory representatives on the Australian Health Protection Committee, who identified team members associated with Australian DMAT deployments from the 2004 South East Asian Tsunami disaster.\ud \ud Results: The response rate for this survey was 50% (59/118). Most personnel had deployed to the Asian Tsunami affected areas with DMAT members having significant clinical and international experience. While all except one respondent stated they received a full orientation prior to deployment, only 34% of respondents (20/59) felt their role was clearly defined pre deployment. Approximately 56% (33/59) felt their actual role matched their intended role and that their clinical background was well suited to their tasks. Most respondents were prepared to be available for deployment for 1 month (34%, 20/59). The most common period of notice needed to deploy was 6–12 hours for 29% (17/59) followed by 12–24 hours for 24% (14/59). The preferred period of overseas deployment was 14–21 days (46%, 27/59) followed by 1 month (25%, 15/59) and the optimum shift period was felt to be 12 hours by 66% (39/59). The majority felt that there was both adequate pay (71%, 42/59) and adequate indemnity (66%, 39/59). Almost half (49%, 29/59) stated it was better to work with people from the same hospital and, while most felt their deployment could be easily covered by staff from their workplace (56%, 33/59) and caused an inconvenience to their colleagues (51%, 30/59), it was less likely to interrupt service delivery in their workplace (10%, 6/59) or cause an inconvenience to patients (9%, 5/59). Deployment was felt to benefit the affected community by nearly all (95%, 56/59) while less (42%, 25/59) felt that there was a benefit for their own local community. Nearly all felt their role was recognised on return (93%, 55/59) and an identical number (93%, 55/59) enjoyed the experience. All stated they would volunteer again, with 88% strongly agreeing with this statement.\ud \ud Conclusions: This study of Australian DMAT members provides significant insights into a number of human resources issues and should help guide future deployments. The preferred 'on call' arrangements, notice to deploy, period of overseas deployment and shift length are all identified. This extended period of operations needs to be supported by planning and provision of rest cycles, food, temporary accommodation and rest areas for staff. The study also suggests that more emphasis should be placed on team selection and clarification of roles. While the majority felt that there was both adequate pay and adequate indemnity, further work clarifying this, based on national conditions of service should be, and are, being explored currently by the state based teams in Australia. Importantly, the deployment was viewed positively by team members who all stated they would volunteer again, which allows the development of an experienced cohort of team members

A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part I: model planning

<p>Abstract</p> <p>Background</p> <p>Different methods have recently been proposed for predicting morbidity in intensive care units (ICU). The aim of the present study was to critically review a number of approaches for developing models capable of estimating the probability of morbidity in ICU after heart surgery. The study is divided into two parts. In this first part, popular models used to estimate the probability of class membership are grouped into distinct categories according to their underlying mathematical principles. Modelling techniques and intrinsic strengths and weaknesses of each model are analysed and discussed from a theoretical point of view, in consideration of clinical applications.</p> <p>Methods</p> <p>Models based on Bayes rule, <it>k-</it>nearest neighbour algorithm, logistic regression, scoring systems and artificial neural networks are investigated. Key issues for model design are described. The mathematical treatment of some aspects of model structure is also included for readers interested in developing models, though a full understanding of mathematical relationships is not necessary if the reader is only interested in perceiving the practical meaning of model assumptions, weaknesses and strengths from a user point of view.</p> <p>Results</p> <p>Scoring systems are very attractive due to their simplicity of use, although this may undermine their predictive capacity. Logistic regression models are trustworthy tools, although they suffer from the principal limitations of most regression procedures. Bayesian models seem to be a good compromise between complexity and predictive performance, but model recalibration is generally necessary. <it>k</it>-nearest neighbour may be a valid non parametric technique, though computational cost and the need for large data storage are major weaknesses of this approach. Artificial neural networks have intrinsic advantages with respect to common statistical models, though the training process may be problematical.</p> <p>Conclusion</p> <p>Knowledge of model assumptions and the theoretical strengths and weaknesses of different approaches are fundamental for designing models for estimating the probability of morbidity after heart surgery. However, a rational choice also requires evaluation and comparison of actual performances of locally-developed competitive models in the clinical scenario to obtain satisfactory agreement between local needs and model response. In the second part of this study the above predictive models will therefore be tested on real data acquired in a specialized ICU.</p

Copper is required for oncogenic BRAF signalling and tumorigenesis

The BRAF kinase is mutated, typically V600E, to induce an active oncogenic state in a large fraction of melanoma, thyroid, hairy cell leukemia, and to a lesser extent, a wide spectrum of other cancers1,2. BRAFV600E phosphorylates and activates the kinases MEK1 and MEK2, which in turn phosphorylate and activate the kinases ERK1 and ERK2, stimulating the MAPK pathway to promote cancer3. Targeting MEK1/2 is proving to be an important therapeutic strategy, as a MEK1/2 inhibitor provides a survival advantage in metastatic melanoma4, which is increased when co-administered with a BRAFV600E inhibitor5. In this regard, we previously found that copper (Cu) influx enhances MEK1 phosphorylation of ERK1/2 through a Cu-MEK1 interaction6. We now show that genetic loss of the high affinity Cu transporter Ctr1 or mutations in MEK1 that disrupt Cu binding reduced BRAFV600E-driven signaling and tumorigenesis. Conversely, a MEK1-MEK5 chimera that phosphorylates ERK1/2 independent of Cu or an active ERK2 restored tumor growth to cells lacking Ctr1. Importantly, Cu chelators used in the treatment of Wilson disease7 reduced tumor growth of both BRAFV600E-transformed cells and cells resistant to BRAF inhibition. Taken together, these results suggest that Cu-chelation therapy could be repurposed to treat BRAFV600E mutation-positive cancers

Valor das provas de posicionamento da ponta da agulha de veress em punção do hipocôndrio esquerdo na instalação do pneumoperitônio

OBJETIVO: Avaliar provas de posicionamento da agulha de Veress no hipocôndrio esquerdo na criação do pneumoperitônio. MÉTODO: Em cem pacientes puncionados no hipocôndrio esquerdo, provas de posicionamento da agulha foram avaliadas, considerando-as positivas quando, na prova da aspiração (PA), material orgânico era aspirado; na prova da resistência (PRes), exercia-se pequena força no êmbolo da seringa à infusão de líquido; na prova da recuperação (PRec), não se recobrava o líquido infundido; na do gotejamento (PG), as gotas escoavam rapidamente e, na prova da pressão intraperitoneal inicial (PPII), os níveis eram = 8mmHg. PA positiva denunciava iatrogenia, enquanto que PRes, PRec, PG e PPII positivas indicavam que a ponta da agulha estava adequadamente posicionada na cavidade peritoneal. Foram calculadas a sensibilidade (S) e a especificidade (E) das provas, e os seus valores preditivos positivos (VPP) e negativos (VPN), mediante correlação dos resultados verdadeiro-positivos (a), falso-positivos (b), falso negativos (c) e verdadeiro-negativos (d), segundo as fórmulas: S=[a/(a+c)]x100; E=[d/(b+d)]x100; VPP=[a/(a+b)]x100; VPN=[d(c+d)]x100. RESULTADOS: Na PA, constatou-se que S e VPP não puderam ser aplicados, e E=100% e VPN=100%. Na PRes, S=0%, E=100%, VPP=não existiu e VPN=90%. Tanto na PRec quanto na PG, S=50%, E=100%, VPP=100% e VPN=94,7%. Na PPII, obteve-se que S, E, VPP e VPN=100%. CONCLUSÕES: Na punção no hipocôndrio esquerdo, PA negativa garante ausência de lesões; a PRes é insegura quanto ao mau posicionamento da agulha, mas indica corretamente o bom; a PRec e a PG não reconhecem bem o adequado posicionamento, mas detectam com segurança o inadequado; a PPII acusa com segurança tanto o mau quanto o bom posicionamento da agulha, sendo a prova mais confiável dentre as estudadas