Emerging (Bio)Sensing Technology for Assessing and Monitoring Freshwater Contamination – Methods and Applications

Ecological Water Quality - Water Treatment and Reuse

Assessing and monitoring impacts of genetically modified plants on agro-ecosystems: the approach of AMIGA project

The environmental impacts of genetically modified crops is still a controversial issue in Europe. The overall risk assessment framework has recently been reinforced by the European Food Safety Authority(EFSA) and its implementation requires harmonized and efficient methodologies. The EU-funded research project AMIGA − Assessing and monitoring Impacts of Genetically modified plants on Agro-ecosystems − aims to address this issue, by providing a framework that establishes protection goals and baselines for European agro-ecosystems, improves knowledge on the potential long term environmental effects of genetically modified (GM) plants, tests the efficacy of the EFSA Guidance Document for the Environmental Risk Assessment, explores new strategies for post market monitoring, and provides a systematic analysis of economic aspects of Genetically Modified crops cultivation in the EU. Research focuses on ecological studies in different EU regions, the sustainability of GM crops is estimated by analysing the functional components of the agro-ecosystems and specific experimental protocols are being developed for this scope.

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Reseptikeskuksen lääkekohtaisen tiedon laadun kartoitus toiminnallisesta näkökulmasta

Diplomityössä kartoitetaan tiedon laatuun vaikuttavia tekijöitä kirjallisuuden pohjalta sekä tutkitaan empiirisesti sähköisen reseptin tietosisällön laatua toiminnallisuuden näkökulmasta tarkasteltuna. Tutkimuksen tavoitteena on tuottaa esiselvitys Reseptikeskuksen tietosisällön toiminnallisesta laadusta käytettäväksi lähtötietona tiedon laadun arviointiin ja seurantaan. Tutkimuksen empiirinen osuus toteutettiin kvantitatiivisena tutkimuksena analysoimalla Reseptikeskuksen tietosisällöstä poimittua n. 600 potilaan otosta. Tutkitussa tietosisällössä havaittiin joitain poikkeamia tietosisältöä koskeviin määrityksiin verrattuna, mutta merkittäviä eroja terveydenhuollon eri toimijaryhmien apteekeissa, julkisella ja yksityisellä sektorilla kirjaamien reseptien tietosisällön laadussa ei havaittu. Tiedon kontekstisidonnaisuus on keskeinen tekijä tiedon toiminnallisen laadun määrittämisessä, arvioinnissa ja kehittämisessä. Toiminnan kannalta merkityksellinen tieto rakentuu dataan liitettyjen merkitysten, tiedon käyttäjien kokemusten sekä teknisen ja sosiaalisen käyttöympäristön muodostamana kokonaisuutena. Tiedon laadun parantaminen on jatkuva prosessi, jota tulee ylläpitää arvioimalla ja kehittämällä käytettäviä laatumittareita ja analysointimalleja. Reseptikeskuksen tietosisällön laatua voidaan edelleen kehittää ja nyt tehdyn esikartoituksen pohjalta voidaan jatkossa seurata tietosisällön laadun kehittymistä uusien tutkimusten avulla

How to Measure Scope Variables when no Metrics Exist : Application to Landscape Quality Measurement and Hedonic Price Evaluation

Landscape is an example of a non-market good where no metrics exist to measure its quality. The paper proposes an original methodology to nevertheless estimate scope variables in those circumstances, allowing then to better test if people's willingnesstopay for such good is sensitive to the scope. The methodology is based on techniques developed in the context of multicriteria decision analysis. It is applied to assess the quality of the landscape of several Swiss alpine resorts. This assessment is then used as an explanatory variable in a hedonic price function to explain the rent of apartments and to derive an implicit price of the landscape quality.

The Impact of Housing Market Segmentation between Tourists and Residents on the Hedonic Price for Landscape Quality

Market segmentation is an important issue when estimating the implicit price for an environmental amenity from a surrogate market like property. This paper tests the hypothesis of a segmentation of the housing market between tourists and residents and computes the implicit price for natural landscape quality in Swiss alpine resorts. The results show a clear segmentation between both groups of consumers, although tests also show that the estimated coefficient for landscape is similar in the tourists' model and in the residents'. However, since the functional form is non linear, the nominal - rather than relative - value of a change in natural landscape quality is higher in the tourist housing market than in the residents'. Hence, considering the segmentation of the market between tourists and residents is essential in order to provide valid estimates of the nominal implicit price of natural landscape quality.

The implications of the 2003 Common Agricultural Policy reforms for land use and landscape quality in England

The assessment of the potential landscape impacts of the latest Common Agricultural Policy reforms constitutes a challenge for policy makers and it requires the development of models that can reliably project the likely spatial distribution of land uses. The aim of this study is to investigate the impact of 2003 CAP reforms to land uses and rural landscapes across England. For this purpose we modified an existing economic model of agriculture, the Land-Use Allocation Model (LUAM) to provide outputs at a scale appropriate for informing a semi-quantitative landscape assessment at the level of ‘Joint Character Areas’ (JCAs). Overall a decline in the cereal and oilseed production area is projected but intensive arable production will persist in specific locations (East of England, East Midlands and South East), having ongoing negative effects on the character of many JCAs. The impacts of de-coupling will be far more profound on the livestock sector; extensification of production will occur in traditional mixed farming regions (e.g. the South West), a partial displacement of cattle by sheep in the upland regions and an increase in the sheep numbers is expected in the lowlands (South East, Eastern and East Midlands). This extensification process will affect positively those JCAs of mixed farming conditions, but it will have negative impacts on the JCAs of historically low intensity farming (e.g. the uplands of north-west) because they will suffer from under-management and land idling. Our analysis shows that the territorialisation between intensively and extensively agricultural landscapes will continue.

Mapping the visual landscape quality in Europe using physical attributes

he inclusion of environmental care data in the decision-making process should be based on the results obtained after scienti?cally evaluating different environmental variables. Herein, a European landscape geographic model is presented. This landscape map would allow the environmental care variable ?visual landscape?, along with other information related to vegetation, geology, soils, cultural variables, etc., to be integrated into the planning process. The methodology used is not new since it has already been tested in Spain by the authors. Nevertheless, the model was adapted to cope with the much more extensive territory of the European Union. This meant dealing with computational dif?culties, and a lack of information. The result of this work is a raster map (100 m cell size) that evaluates landscape quality in Europe by dividing the area into seven visual quality classes. This is a practical tool for territorial development that will facilitate the environmental assessment of plans, such as infrastructure plans, within a strategic pan-European framework.

Ecological indicators for assessing and communicating seagrass status and trends in Florida Bay

A suite of seagrass indicator metrics is developed to evaluate four essential measures of seagrass community status for Florida Bay. The measures are based on several years of monitoring data using the Braun-Blanquet Cover Abundance (BBCA) scale to derive information about seagrass spatial extent, abundance, species diversity and presence of target species. As ecosystem restoration proceeds in south Florida, additional freshwater will be discharged to Florida Bay as a means to restore the bay's hydrology and salinity regime. Primary hypotheses about restoring ecological function of the keystone seagrass community are based on the premise that hydrologic restoration will increase environmental variability and reduce hypersalinity. This will create greater niche space and permit multiple seagrass species to co-exist while maintaining good environmental conditions for Thalassia testudinum, the dominant climax seagrass species. Greater species diversity is considered beneficial to habitat for desired higher trophic level species such as forage fish and shrimp. It is also important to maintenance of a viable seagrass community that will avoid die-off events observed in the past. Indicator metrics are assigned values at the basin spatial scale and are aggregated to five larger zones. Three index metrics are derived by combining the four indicators through logic gates at the zone spatial scale and aggregated to derive a single bay-wide system status score standardized on the System-wide Indicator protocol. The indicators will provide a way to assess progress toward restoration goals or reveal areas of concern. Reporting for each indicator, index and overall system status score is presented in a red–yellow–green format that summarizes information in a readily accessible form for mangers, policy-makers and stakeholders in planning and implementing an adaptive management strategy.

The variability and predictors of quality of AIDS care services in Brazil

Background: Since establishing universal free access to antiretroviral therapy in 1996, the Brazilian Health System has increased the number of centers providing HIV/AIDS outpatient care from 33 to 540. There had been no formal monitoring of the quality of these services until a survey of 336 AIDS health centers across 7 Brazilian states was undertaken in 2002. Managers of the services were asked to assess their clinics according to parameters of service inputs and service delivery processes. This report analyzes the survey results and identifies predictors of the overall quality of service delivery. Methods: The survey involved completion of a multiple-choice questionnaire comprising 107 parameters of service inputs and processes of delivering care, with responses assessed according to their likely impact on service quality using a 3-point scale. K-means clustering was used to group these services according to their scored responses. Logistic regression analysis was performed to identify predictors of high service quality. Results: The questionnaire was completed by 95.8% (322) of the managers of the sites surveyed. Most sites scored about 50% of the benchmark expectation. K-means clustering analysis identified four quality levels within which services could be grouped: 76 services (24%) were classed as level 1 (best), 53 (16%) as level 2 (medium), 113 (35%) as level 3 (poor), and 80 (25%) as level 4 (very poor). Parameters of service delivery processes were more important than those relating to service inputs for determining the quality classification. Predictors of quality services included larger care sites, specialization for HIV/AIDS, and location within large municipalities. Conclusion: The survey demonstrated highly variable levels of HIV/AIDS service quality across the sites. Many sites were found to have deficiencies in the processes of service delivery processes that could benefit from quality improvement initiatives. These findings could have implications for how HIV/AIDS services are planned in Brazil to achieve quality standards, such as for where service sites should be located, their size and staffing requirements. A set of service delivery indicators has been identified that could be used for routine monitoring of HIV/AIDS service delivery for HIV/AIDS in Brazil (and potentially in other similar settings).

Evaluation of biologic occupational risk control practices: Quality indicators development and validation

Background: There is growing demand for the adoption of qualification systems for health care practices. This study is aimed at describing the development and validation of indicators for evaluation of biologic occupational risk control programs. Methods: The study involved 3 stages: (1) setting up a research team, (2) development of indicators, and (3) validation of the indicators by a team of specialists recruited to validate each attribute of the developed indicators. The content validation method was used for the validation, and a psychometric scale was developed for the specialists` assessment. A consensus technique was used, and every attribute that obtained a Content Validity Index of at least 0.75 was approved. Results: Eight indicators were developed for the evaluation of the biologic occupational risk prevention program, with emphasis on accidents caused by sharp instruments and occupational tuberculosis prevention. The indicators included evaluation of the structure, process, and results at the prevention and biologic risk control levels. The majority of indicators achieved a favorable consensus regarding all validated attributes. Conclusion: The developed indicators were considered validated, and the method used for construction and validation proved to be effective.

Effect of a sequential education and monitoring programme on quality-of-life components in heart failure

Aims Trials of disease management programmes (DMP) in heart failure (HF) have shown controversial results regarding quality of life. We hypothesized that a DMP applied over the long-term could produce different effects on each of the quality-of-life components. Methods and results We extended the prospective, randomized REMADHE Trial, which studied a DMP in HF patients. We analysed changes in Minnesota Living with Heart Failure Questionnaire components in 412 patients, 60.5% male, age 50.2 +/- 11.4 years, left ventricular ejection fraction 34.7 +/- 10.5%. During a mean follow-up of 3.6 +/- 2.2 years, 6.3% of patients underwent heart transplantation and 31.8% died. Global quality-of-life scores improved in the DMP intervention group, compared with controls, respectively: 57.5 +/- 3.1 vs. 52.6 +/- 4.3 at baseline, 32.7 +/- 3.9 vs. 40.2 +/- 6.3 at 6 months, 31.9 +/- 4.3 vs. 41.5 +/- 7.4 at 12 months, 26.8 +/- 3.1 vs. 47.0 +/- 5.3 at the final assessment; P<0.01. Similarly, the physical component (23.7 +/- 1.4 vs. 21.1 +/- 2.2 at baseline, 16.2 +/- 2.9 vs. 18.0 +/- 3.3 at 6 months, 17.3 +/- 2.9 vs. 23.1 +/- 5.7 at 12 months, 11.4 +/- 1.6 vs. 19.9 +/- 2.4 final; P<0.01), the emotional component (13.2 +/- 1.0 vs. 12.1 +/- 1.4 at baseline, 11.7 +/- 2.7 vs. 12.3 +/- 3.1 at 6 months, 12.4 +/- 2.9 vs. 16.8 +/- 5.9 at 12 months, 6.7 +/- 1.0 vs. 10.6 +/- 1.4 final; P<0.01) and the additional questions (20.8 +/- 1.2 vs. 19.3 +/- 1.8 at baseline, 14.3 +/- 2.7 vs. 17.3 +/- 3.1 at 6 months, 12.4 +/- 2.9 vs. 21.0 +/- 5.5 at 12 months, 6.7 +/- 1.4 vs. 17.3 +/- 2.2 final; P<0.01) were better (lower) in the intervention group. The emotional component improved earlier than the others. Post-randomization quality of life was not associated with events. Conclusion Components of the quality-of-life assessment responded differently to DMP. These results indicate the need for individualized DMP strategies in patients with HF. Trial registration information www.clincaltrials.gov NCT00505050-REMADHE.

The application of statistical process control charts to the detection and monitoring of hospital-acquired infections

The monitoring of infection control indicators including hospital-acquired infections is an established part of quality maintenance programmes in many health-care facilities. However, surveillance data use can be frustrated by the infrequent nature of many infections. Traditional methods of analysis often provide delayed identification of increasing infection occurrence, placing patients at preventable risk. The application of Shewhart, Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA) statistical process control charts to the monitoring of indicator infections allows continuous real-time assessment. The Shewhart chart will detect large changes, while CUSUM and EWMA methods are more suited to recognition of small to moderate sustained change. When used together, Shewhart and EWMA methods are ideal for monitoring bacteraemia and multiresistant organism rates. Shewhart and CUSUM charts are suitable for surgical infection surveillance.