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L’Evidence-Based Nursing Ë un processo che richiede agli infermieri di avere le conoscenze, le competenze e la fiducia necessarie per riflettere criticamente sulla loro pratica, articolare domande strutturate e poi cercare in modo affidabile la letteratura per rispondere alle domande poste. Ci sono molti tipi di evidence che vengono utilizzate per informare le decisioni nell'as- sistenza sanitaria e i risultati di studi di ricerca qualitativa sanitaria sono utili per fornire nuove intuizioni sulle esperienze, i valori, le convinzioni, i bisogni o le percezioni degli individui. Prima che l'evidence qualitativa possa essere utilizzata in una decisione, deve essere valutata criticamente per determinare se i risultati sono affidabili e se hanno rilevanza per la questione o la decisione identificata. In questo articolo forniamo una guida pratica su come selezionare una checklist o uno strumento per guidare la valutazione critica degli studi qualitativi e, poi, forniamo un esempio che dimostra come applicare il processo di valutazione critica a uno scenario clinico. Evidence-based nursing is a process that requires nurses to have the knowledge, skills, and confidence to critically reflect on their practice, articulate structured questions, and then reliably search for research evidence to address the questions posed. Many types of research evidence are used to inform decisions in health care and findings from qualita- tive health research studies are useful to provide new insights about individuals' experi- ences, values, beliefs, needs, or perceptions. Before qualitative evidence can be utilized in a decision, it must be critically appraised to determine if the findings are trustworthy and if they have relevance to the identified issue or decision. In this article, we provide practical guidance on how to select a checklist or tool to guide the critical appraisal of qualitative studies and then provide an example demonstrating how to apply the critical appraisal process to a clinical scenario.

Additional file 2. GRIPP2 Long Form.

Additional file 3. Persona Development Worksheet.

This study is motivated by biodiversity related policy information needs on ecosystem fragmentation and connectivity. The aim is to propose standardized and repeatable methods to characterize ecosystem landscape structure in a harmonized way at varying spatial scales and thematic resolutions (habitat in situ versus land cover satellite based observations). Habitat landscape pattern was assessed in terms of configuration, interface mosaic context and structural/functional connectivity on the basis of three available conceptual models (morphological analysis, landscape composition moving window, network graph theory) that were customized, automated and partly combined. Input data were from the EBONE General Habitat Categories maps available over sixty 1 km2 in-situ samples at fine scale (400 m2 Minimum Mapping Unit). Demonstration focused on the focal forest phanerophyte habitat. Forest spatial pattern, edge interfaces and connectivity related maps and indices were obtained for all samples, and then reported per European Environmental Zones. A prototype web-based mapping client (http://forest.jrc.ec.europa.eu/ebone) was also developed to view and query the map layers and indices. Finally, the same models and indices were applied to the satellite based European and regional land cover maps available at broad (25 ha MMU) and medium (1ha MMU) scales. Differences in patterns across the three scales were highlighted over the only common 1 km2 analysis unit. Further, the satellite based patterns were reported at the more suitable fixed area grid of 25 km x 25 km. The overlay with the 1 km2 in situ habitat pattern enabled to inform the macro-scale landscape structure context of the squares and compare with their micro-scale pattern. Such study should be repeated to study spatio-temporal patterns relationships across scales once multi-temporal and larger in situ dataset will be available.

The threat of a forest fire disaster increases around the globe as the human footprint continues to encroach on natural areas and climate change effects increase the potential of extreme weather. It is essential that the tools to educate, prepare, monitor, react, and fight natural fire disasters are available to emergency managers and responders and reduce the overall disaster effects. In the context of the I-REACT project, such a big crisis data system is being developed and is based on the integration of information from different sources, automated data processing chains and decision support systems. This paper presents the wildfire monitoring for emergency management system for those involved and affected by wildfire disasters developed for European forest fire disasters., © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

The threat of a forest fire disaster increases around the globe as the human footprint continues to encroach on natural areas and climate change effects increase the potential of extreme weather. It is essential that the tools to educate, prepare, monitor, react, and fight natural fire disasters are available to emergency managers and responders and reduce the overall disaster effects. In the context of the I-REACT project, such a big crisis data system is being developed and is based on the integration of information from different sources, automated data processing chains and decision support systems. This paper presents the wildfire monitoring for emergency management system for those involved and affected by wildfire disasters developed for European forest fire disasters.