24 research outputs found

    UK guideline on transition of adolescent and young persons with chronic digestive diseases from paediatric to adult care

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    The risks of poor transition include delayed and inappropriate transfer that can result in disengagement with healthcare. Structured transition care can improve control of chronic digestive diseases and long-term health-related outcomes. These are the first nationally developed guidelines on the transition of adolescent and young persons (AYP) with chronic digestive diseases from paediatric to adult care. They were commissioned by the Clinical Services and Standards Committee of the British Society of Gastroenterology under the auspices of the Adolescent and Young Persons (A&YP) Section. Electronic searches for English-language articles were performed with keywords relating to digestive system diseases and transition to adult care in the Medline (via Ovid), PsycInfo (via Ovid), Web of Science and CINAHL databases for studies published from 1980 to September 2014. The quality of evidence and grading of recommendations was appraised using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. The limited number of studies in gastroenterology and hepatology required the addition of relevant studies from other chronic diseases to be included. These guidelines deal specifically with the transition of AYP living with a diagnosis of chronic digestive disease and/or liver disease from paediatric to adult healthcare under the following headings; 1. Patient populations involved in AYP transition 2. Risks of failing transition or poor transition 3. Models of AYP transition 4. Patient and carer/parent perspective in AYP transition 5. Surgical perspectiv

    Enquête auprès d'agriculteurs sur leurs pratiques relatives aux sols : leviers et barrières tels que décrits par les adoptants et non-adoptants

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    During the past decennia, best management practices (BMPs) have been developed in order to maintain or restore soil health which is essential to the sustainability and resilience of the farm. Adoption rates of these practices vary among different countries and even among different regions within a country. Adoption rates depend on the specific context of a region or a country, consisting of biophysical, economic, social but also regulatory and institutional conditions. Hence, the objective of this study was to investigate farmers’ barriers towards adoption of BMPs across Europe. To identify drivers and barriers for adopting BMPs, we applied a behavioral approach, based on the theory of planned behavior. This approach has been proven successful and offers a repeatable methodology which is very valuable for performing attitudinal research in an wide European context. According to this theory, the greater the intention to behave, the more likely one is to actually perform the behavior. The intention of a farmer to implement a certain BMP is determined by individual beliefs on a set of outcomes (expected effects) associated with the practice, on a set of referents who think the farmer should perform the behavior, and on a set of control factors that might facilitate or obstruct the behavior. All these beliefs influence a farmers’ intention to adopt a certain BMP, and are acting as cognitive drivers or barriers which encourage or discourage the farmer to adopt a specific BMP. This report describes the main drivers and barriers on BMPs perceived by the farmers in 24 Farm Type Zones (FTZ) spread over 8 European countries (Poland, The Netherlands, Spain, Italy, Belgium, France, Austria, Germany). These FTZs are regions within a country and are characterized by land use, farm specialization and by slope, soil texture and climate. The criteria to select FTZs for the study were 1) representation of a large agricultural area, 2) large economic value of the FTZ and/or 3) occurrence of soil degradation problems. The BMPs studied in each FTZ were determined based on expert judgment for their potential contribution to improve soil sustainability in that specific FTZ. About 20 different BMPs were studied across all countries

    Liste des pilotes et des obstacles qui régissent la gestion des sols par les agriculteurs, y compris les aspects de coûts

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    This report consists of two components: (i) an overview of drivers and barriers for the adoption of so-called ‘Best Management Practices’ (BMPs) in soil management, as seen through the eyes of farmers (the extensive Chapter 2); and (ii) an inventory of cost associated with the implementation of certain BMPs at the farm (the brief Chapter 3). The overview of drivers and barriers presented in Chapter 2 is based on a survey held among 10,000 farmers in different farm types across all CATCH-C partner countries, 2520 of whom responded. The inventory of costs to implement BMPs is based on empirical information collected by the research team in the project partner countries, through various channels. The BMPs studied in the farmer survey include options for crop rotation, tillage, nutrient management, crop residue management, water management, and grassland management. The survey was carried out in 24 major ‘farm type x agri-environmental zone’ (FTZ) units across eight partner countries, three per country. An FTZ unit is defined by the combination of an agri-environmental zone (with climate, slope, and soil texture as keys) with a farm type (arable-cereal, arable-specialised, dairy, mixed, etc.). The criteria to select FTZs for the farm surveys were 1) representation of a large agricultural area, 2) large economic value of the FTZ and/or 3) occurrence of soil degradation problems. In most agri-environmental zones, one specific farm type was studied, or sometimes two. Our FTZ units were also called ‘major farm types’ in other project documents. To identify drivers and barriers for adopting Best Management Practices (BMPs), we applied a behavioural approach, based on the Theory of Planned Behaviour (Ajzen, 1988; Ajzen, 1991), to identify the main barriers and drivers of farmers towards adoption of sustainable management practices. The theory and details of the results obtained were extensively reported in Deliverable D4.422 of the CATCH-C project (Bijttebier et al., 2014)
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