The diagnosis of chronic inflammatory demyelinating polyneuropathy: a Delphi-method approach.

The diagnosis of chronic inflammatory demyelinating polyneuropathy (CIDP) is based on a set of clinical and neurophysiological parameters. However, in clinical practice, CIDP remains difficult to diagnose in atypical cases. In the present study, 32 experts from 22 centers (the French CIDP study group) were asked individually to score four typical, and seven atypical, CIDP observations (TOs and AOs, respectively) reported by other physicians, according to the Delphi method. The diagnoses of CIDP were confirmed by the group in 96.9 % of the TO and 60.1 % of the AO (p < 0.0001). There was a positive correlation between the consensus of CIDP diagnosis and the demyelinating features (r = 0.82, p < 0.004). The European CIDP classification was used in 28.3 % of the TOs and 18.2 % of the AOs (p < 0.002). The French CIDP study group diagnostic strategy was used in 90 % of the TOs and 61 % of the AOs (p < 0.0001). In 3 % of the TOs and 21.6 % of the AOs, the experts had difficulty determining a final diagnosis due to a lack of information. This study shows that a set of criteria and a diagnostic strategy are not sufficient to reach a consensus for the diagnosis of atypical CIDP in clinical practice.

Malaria chemoprophylaxis recommendations for immigrants to Europe, visiting relatives and friends--a Delphi method study.

BACKGROUND: Numbers of travellers visiting friends and relatives (VFRs) from Europe to malaria endemic countries are increasing and include long-term and second generation immigrants, who represent the major burden of malaria cases imported back into Europe. Most recommendations for malaria chemoprophylaxis lack a solid evidence base, and often fail to address the cultural, social and economic needs of VFRs. METHODS: European travel medicine experts, who are members of TropNetEurop, completed a sequential series of questionnaires according to the Delphi method. This technique aims at evaluating and developing a consensus through repeated iterations of questionnaires. The questionnaires in this study included questions about professional experience with VFRs, controversial issues in malaria prophylaxis, and 16 scenarios exploring indications for prescribing and choice of chemoprophylaxis. RESULTS: The experience of participants was rather diverse as was their selection of chemoprophylaxis regimen. A significant consensus was observed in only seven of 16 scenarios. The analysis revealed a wide variation in prescribing choices with preferences grouped by region of practice and increased prescribing seen in Northern Europe compared to Central Europe. CONCLUSIONS: Improving the evidence base on efficacy, adherence to chemoprophylaxis and risk of malaria and encouraging discussion among experts, using techniques such as the Delphi method, may reduce the variability in prescription in European travel clinics.

The purpose and use of passenger ships in 2058 - Future scenarios generated by the Delphi method

The purpose of the thesis is to generate scenarios of future purposes and of use of ships, suitable for STX Finland Cruise Oy to design and build, over a 50 year time span by applying the Delphi method and an open innovation approach in a future workshop. The scenarios were mapped out with help of two Delphi survey rounds and one future workshop. The number of participants in both surveys and the workshop was some twenty experts in each, representing various fields. On the basis of the first survey round, four different subject areas were selected for analysis: purposes for the use of ships; energy efficiency of cruises and ships; cost efficiency of sea transportation and vacation; and the views and expectations of the customers in the future. As a result of the future workshop, four different themes were established, which were studied further during the second Delphi round. The themes are future service and operation concepts; versatile uses of the space in ships; communication of environmental benefits of ships, future energy solutions and social interaction between passengers onboard. In addition to generating the scenarios, further aim of the thesis is to implement the Delphi method and workshop activity as foresight tools for STX Europe and to produce a chart of a future shipbuilding foresight community to can serve the open innovation processes in the maritime cluster as a whole.

Research on evaluation system of emergency disposal plan for power plant incidents

This paper starts with the analysis of the unusual inherence mechanism, from two aspects: accumulating and human error. We put forward twelve factors affected the decision of the emergency treatment plan in practice and summarized the evaluation index system combining with literature data. Then we screened out eighteen representative indicators by used the FDM expert questionnaire in the first phase. Hereafter, we calculated the weight of evaluation index and sorted them by the FAHP expert questionnaire, and came up with the frame of the evaluation rule by combined with the experience. In the end, the evaluation principles are concluded.

Integrating group Delphi, fuzzy logic and expert systems for marketing strategy development:the hybridisation and its effectiveness

A hybrid approach for integrating group Delphi, fuzzy logic and expert systems for developing marketing strategies is proposed in this paper. Within this approach, the group Delphi method is employed to help groups of managers undertake SWOT analysis. Fuzzy logic is applied to fuzzify the results of SWOT analysis. Expert systems are utilised to formulate marketing strategies based upon the fuzzified strategic inputs. In addition, guidelines are also provided to help users link the hybrid approach with managerial judgement and intuition. The effectiveness of the hybrid approach has been validated with MBA and MA marketing students. It is concluded that the hybrid approach is more effective in terms of decision confidence, group consensus, helping to understand strategic factors, helping strategic thinking, and coupling analysis with judgement, etc.

Indicateurs sécurité en obstétrique : une étude Delphi [Patient safety indicators for obstetrics: a Delphi based study]

OBJECTIVE: Clinical indicators are increasingly used to assess safety of patient care. In obstetrics, only a few indicators have been validated to date and none is used across specialties. The purpose of this study was to identify and assess for face and content validity a group of safety indicators that could be used by anaesthetists, obstetricians and neonatologists involved in labour and delivery units. MATERIALS AND METHODS: We first conducted a systematic review of the literature to identify potential measures. Indicators were then validated by a panel of 30 experts representing all specialties working in labour and delivery units. We used the Delphi method, an iterative questionnaire-based consensus seeking technique. Experts determined on a 7-point Likert scale (1=most representative/7=less representative) the soundness of each indicator as a measure of safety and their possible association with errors and complications caused by medical management. RESULTS: We identified 44 potential clinical indicators from the literature. Following the Delphi process, 13 indicators were considered as highly representative of safety during obstetrical care (mean score</=2.3). Experts ranked 6 of these indicators as being strongly associated to potential errors and complications. CONCLUSIONS: We identified and validated for face and content, a group of six clinical indicators to measure potentially preventable iatrogenic complications in labour and delivery units.

Identification of different heart tissues from MRI C-SENC images using an unsupervised multi-stage fuzzy clustering technique.

PURPOSE: To objectively characterize different heart tissues from functional and viability images provided by composite-strain-encoding (C-SENC) MRI. MATERIALS AND METHODS: C-SENC is a new MRI technique for simultaneously acquiring cardiac functional and viability images. In this work, an unsupervised multi-stage fuzzy clustering method is proposed to identify different heart tissues in the C-SENC images. The method is based on sequential application of the fuzzy c-means (FCM) and iterative self-organizing data (ISODATA) clustering algorithms. The proposed method is tested on simulated heart images and on images from nine patients with and without myocardial infarction (MI). The resulting clustered images are compared with MRI delayed-enhancement (DE) viability images for determining MI. Also, Bland-Altman analysis is conducted between the two methods. RESULTS: Normal myocardium, infarcted myocardium, and blood are correctly identified using the proposed method. The clustered images correctly identified 90 +/- 4% of the pixels defined as infarct in the DE images. In addition, 89 +/- 5% of the pixels defined as infarct in the clustered images were also defined as infarct in DE images. The Bland-Altman results show no bias between the two methods in identifying MI. CONCLUSION: The proposed technique allows for objectively identifying divergent heart tissues, which would be potentially important for clinical decision-making in patients with MI.

Experts' consensus on use of electronic cigarettes: a Delphi survey from Switzerland.

OBJECTIVES: In some countries, nicotine-containing electronic cigarettes (e-cigarettes) are considered a consumer product without specific regulations. In others (eg, Switzerland), the sale of e-cigarettes containing nicotine is forbidden, despite the eagerness of many smokers to obtain them. As scientific data about efficacy and long-term safety of these products are scarce, tobacco control experts are divided on how to regulate them. In order to gain consensus among experts to provide recommendations to health authorities, we performed a national consensus study. SETTING: We used a Delphi method with electronic questionnaires to bring together the opinion of Swiss experts on e-cigarettes. PARTICIPANTS: 40 Swiss experts from across the country. OUTCOME MEASURES: We measured the degree of consensus between experts on recommendations regarding regulation, sale, use of and general opinion about e-cigarettes containing nicotine. New recommendations and statements were added following the experts' answers and comments. RESULTS: There was consensus that e-cigarettes containing nicotine should be made available, but only under specific conditions. Sale should be restricted to adults, using quality standards, a maximum level of nicotine and with an accompanying list of authorised ingredients. Advertisement should be restricted and use in public places should be forbidden. CONCLUSIONS: These recommendations encompass three principles: (1) the reality principle, as the product is already on the market; (2) the prevention principle, as e-cigarettes provide an alternative to tobacco for actual smokers, and (3) the precautionary principle, to protect minors and non-smokers, since long-term effects are not yet known. Swiss authorities should design specific regulations to sell nicotine-containing e-cigarettes.

Características y funciones para marcas de lugar a partir de un método Delphi

[ES] Introducción. La representación de territorios mediante el uso de marcas es una cuestión recurrente en la sociedad contemporánea que vivimos. Este artículo tiene por objetivo principal determinar algunas de las características y funciones que presentan las marcas asociadas a espacios geográficos. Metodología. Se ha optado por una investigación cualitativa vehiculada a partir de un método Delphi conformado por un panel de catorce expertos en marcas de lugar. Resultados. En relación con las marcas comerciales, se constata que las marcas de lugar, por su naturaleza de bien público, requieren de una gestión más compleja, preferentemente a tres niveles: administración pública, organizaciones privadas y ciudadanía. Conclusiones. En función de los resultados obtenidos, se concluye que la gestión de los lugares se encuentra nuevamente ocupada en la proyección de identidades espaciales singulares, en el marco de una creciente competencia entre territorios.

Application of fuzzy logic for the evaluation of livestock slaughtering

The fuzzy logic admits infinite intermediate logical values between false and true. With this principle, it developed in this study a system based on fuzzy rules, which indicates the body mass index of ruminant animals in order to obtain the best time to slaughter. The controller developed has as input the variables weight and height, and as output a new body mass index, called Fuzzy Body Mass Index (Fuzzy BMI), which may serve as a detection system at the time of livestock slaughtering, comparing one another by the linguistic variables "Very Low", "Low", "Average ", "High" and "Very High". For demonstrating the use application of this fuzzy system, an analysis was made with 147 Nellore beeves to determine Fuzzy BMI values for each animal and indicate the location of body mass of any herd. The performance validation of the system was based on a statistical analysis using the Pearson correlation coefficient of 0.923, representing a high positive correlation, indicating that the proposed method is appropriate. Thus, this method allows the evaluation of the herd comparing each animal within the group, thus providing a quantitative method of farmer decision. It was concluded that this study established a computational method based on fuzzy logic that mimics part of human reasoning and interprets the body mass index of any bovine species and in any region of the country.

The Future of Physical Education in Higher Education: A Delphi Investigation

Despite the profound and widespread concern for the future of higher education physical education, there has been little systematic study on the topic. This research investigated the future by utilizing a two-round interview Delphi method. Five international experts were asked to project possible, probable, preferable and undesirable futures of the academic discipline in fifteen years time; specifically in regards to issues within the undergraduate degree programs, and the research sub-disciplines. The results of quantitative descriptive statistics and qualitative content analysis reveal an ever-changing higher education environment in the postmodern information age, which presents a complicating future for the academic discipline. The experts expressed concern that some disciplinarians will be a-futuristic and unable to operationalize the vast potential of the discipline at the institutional level, by continuing to use outdated and inappropriate frameworks of a modern era gone by.

Application of fuzzy logic for the evaluation of livestock slaughtering

A lógica fuzzy admite infinitos valores lógicos intermediários entre o falso e o verdadeiro. Com esse princípio, foi elaborado neste trabalho um sistema baseado em regras fuzzy, que indicam o índice de massa corporal de animais ruminantes com objetivo de obter o melhor momento para o abate. O sistema fuzzy desenvolvido teve como entradas as variáveis massa e altura, e a saída um novo índice de massa corporal, denominado Índice de Massa Corporal Fuzzy (IMC Fuzzy), que poderá servir como um sistema de detecção do momento de abate de bovinos, comparando-os entre si através das variáveis linguísticas )Muito BaixaM, ,BaixaB, ,MédiaM, ,AltaA e Muito AltaM. Para a demonstração e aplicação da utilização deste sistema fuzzy, foi feita uma análise de 147 vacas da raça Nelore, determinando os valores do IMC Fuzzy para cada animal e indicando a situação de massa corpórea de todo o rebanho. A validação realizada do sistema foi baseado em uma análise estatística, utilizando o coeficiente de correlação de Pearson 0,923, representando alta correlação positiva e indicando que o método proposto está adequado. Desta forma, o presente método possibilita a avaliação do rebanho, comparando cada animal do rebanho com seus pares do grupo, fornecendo desta forma um método quantitativo de tomada de decisão para o pecuarista. Também é possível concluir que o presente trabalho estabeleceu um método computacional baseado na lógica fuzzy capaz de imitar parte do raciocínio humano e interpretar o índice de massa corporal de qualquer tipo de espécie bovina e em qualquer região do País.

Classificador Fisherface Fuzzy para o reconhecimento de faces

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)