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Market uptake of pegylated interferons for the treatment of hepatitis C in Europe : meeting abstract
(2008)
Introduction and Objectives Hepatitis C virus (HCV) infection is a leading cause of chronic liver disease with life threatening sequelae such as end-stage liver cirrhosis and liver cancer. It is estimated that the infection annually causes about 86,000 deaths, 1.2 million disability adjusted life years (DALYs), and ¼ of the liver transplants in the WHO European region. Presently, only antiviral drugs can prevent the progression to severe liver disease. Pegylated interferons combined with ribavirin are considered as current state-of-the-art treatment. Objective of this investigation was to assess the market uptake of these drugs across Europe in order to find out whether there is unequal access to optimised therapy. Material and Methods We used IMS launch and sales data (April 2000 to December 2005) for peginterferons and ribavirin for 21 countries of the WHO European region. Market uptake was investigated by comparing the development of country-specific sales rates. For market access analysis, we converted sales figures into numbers of treated patients and related those to country-specific hepatitis C prevalence. To convert sales figures into patient figures, the amount of active pharmaceutical ingredients (API) sold was divided by average total patient doses (ATPD), derived by a probability tree-based calculation algorithm accounting for genotype distribution, early stopping rules, body weight, unscheduled treatment stops and dose reductions Ntotal=APIPegIFNalpha-2a/ATPDPegIFNalpha-2a+APIPegIFN&alpha-2b/ATPDPegIFNalpha-2b For more concise result presentation the 21 included countries were aggregated into four categories: 1. EU founding members (1957): Belgium, France, Germany, Italy and Netherlands; 2. Countries joining EU before 2000: Austria (1995), Denmark (1973), Finland (1995), Greece (1981), Republic of Ireland (1973), Spain (1986), Sweden and UK (1973) 3. Countries joining EU after 2000: Czech Republic (2004), Hungary (2004), Poland (2004) and Romania (2007); 4. EU non-member states: Norway, Russia, Switzerland and Turkey. Results Market launch and market uptake of the investigated drugs differed considerably across countries. The earliest, most rapid and highest increases in sales rates were observed in the EU founding member states, followed by countries that joined the EU before 2000, countries that joined the EU after 2000, and EU non-member states. Most new EU member states showed a noticeable increase in sales after joining the EU. Market access analysis yielded that until end of 2005, about 308 000 patients were treated with peginterferon in the 21 countries. Treatment rates differed across Europe. The number of patients ever treated with peginterferon per 100 prevalent cases ranged from 16 in France to less than one in Romania, Poland, Greece and Russia. Discussion Peginterferon market uptake and prevalence adjusted treatment rates were found to vary considerably across 21 countries in the WHO European region suggesting unequal access to optimised therapy. Poor market access was especially common in low-resource countries. Besides budget restrictions, national surveillance and prevention policy should be considered as explanations for market access variation. Although our results allowed for the ranking of countries in order of market access, no final conclusions on over- or undertreatment can be drawn, because the number of patients who really require antiviral treatment is unknown. Further research based on pan-European decision models is recommended to determine the fraction of not yet successfully treated but treatable patients among those ever diagnosed with HCV. ...
A data set of annual values of area equipped for irrigation for all 236 countries in the world during the time period 1900 - 2003 was generated. The basis for this data product was information available through various online data bases and from other published materials. The complete time series were then constructed around the reported data applying six statistical methods. The methods are discussed in terms of reliability and data uncertainties. The total area equipped for irrigation in the world in 1900 was 53.2 million hectares. Irrigation was mainly practiced in all the arid regions of the globe and in paddy rice areas of South and East Asia. In some temperate countries in Western Europe irrigation was practiced widely on pastures and meadows. The time series suggest a modest rate of increase of irrigated areas in the first half of the 20th century followed by a more dynamic development in the second half. The turn of the century is characterized by an overall consolidating trend resulting at a total of 285.8 million hectares in 2003. The major contributing countries have changed little throughout the century. This data product is regarded as a preliminary result toward an ongoing effort to develop a detailed data set and map of areas equipped for irrigation in the world over the 20th century using sub-national statistics and historical irrigation maps.
A data set of monthly growing areas of 26 irrigated crops (MGAG-I) and related crop calendars (CC-I) was compiled for 402 spatial entities. The selection of the crops consisted of all major food crops including regionally important ones (wheat, rice, maize, barley, rye, millet, sorghum, soybeans, sunflower, potatoes, cassava, sugar cane, sugar beets, oil palm, rapeseed/canola, groundnuts/peanuts, pulses, citrus, date palm, grapes/vine, cocoa, coffee), major water-consuming crops (cotton), and unspecified other crops (other perennial crops, other annual crops, managed grassland). The data set refers to the time period 1998-2002 and has a spatial resolution of 5 arc minutes by 5 arc minutes which is 8 km by 8 km at the equator. This is the first time that a data set of cell-specific irrigated growing areas of irrigated crops with this spatial resolution was created. The data set is consistent to the irrigated area and water use statistics of the AQUASTAT programme of the Food and Agriculture Organization of the United Nations (FAO) (http://www.fao.org/ag/agl/aglw/aquastat/main/index.stm) and the Global Map of Irrigation Areas (GMIA) (http://www.fao.org/ag/agl/aglw/aquastat/irrigationmap/index.stm). At the cell-level it was tried to maximise consistency to the cropland extent and cropland harvested area from the Department of Geography and Earth System Science Program of the McGill University at Montreal, Quebec, Canada and the Center for Sustainability and the Global Environment (SAGE) of the University of Wisconsin at Madison, USA (http://www.geog.mcgill.ca/~nramankutty/ Datasets/Datasets.html and http://geomatics.geog.mcgill.ca/~navin/pub/Data/175crops2000/). The consistency between the grid product and the input data was quantified. MGAG-I and CC-I are fully consistent to each other on entity level. For input data other than CC-I, the consistency of MGAG-I on cell level was calculated. The consistency of MGAG-I with respect to the area equipped for irrigation (AEI) of GMIA and to the cropland extent of SAGE was characterised by the sum of the cell-specific maximum difference between the MGAG-I monthly total irrigated area and the reference area when the latter was exceeded in the grid cell. The consistency of the harvested area contained in MGAG-I with respect to SAGE harvested area was characterised by the crop-specific sum of the cell-specific difference between MGAG-I harvested area and the SAGE harvested area when the latter was exceeded in the grid cell. In all three cases, the sums are the excess areas that should not have been distributed under the assumption that the input data were correct. Globally, this cell-level excess of MGAG-I as compared to AEI is 331,304 ha or only about 0.12 % of the global AEI of 278.9 Mha found in the original grid. The respective cell-level excess of MGAG-I as compared to the SAGE cropland extent is 32.2 Mha, corresponding to about 2.2 % of the total cropland area. The respective cell-level excess of MGAG-I as compared to the SAGE harvested area is 27 % of the irrigated harvested area, or 11.5 % of the AEI. In a further step that will be published later also rainfed areas were compiled in order to form the Global data set of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000). The data set can be used for global and continental-scale studies on food security and water use. In the future, it will be improved, e.g. with a better spatial resolution of crop calendars and an improved crop distribution algorithm. The MIRCA2000 data set, its full documentation together with future updates will be freely available through the following long-term internet site: http://www.geo.uni-frankfurt.de/ipg/ag/dl/forschung/MIRCA/index.html. The research presented here was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) within the framework of the research project entitled "Consistent assessment of global green, blue and virtual water fluxes in the context of food production: regional stresses and worldwide teleconnections". The authors thank Navin Ramankutty and Chad Monfreda for making available the current SAGE datasets on cropland extent (Ramankutty et al., 2008) and harvested area (Monfreda et al., 2008) prior to their publication.
A new global crop water model was developed to compute blue (irrigation) water requirements and crop evapotranspiration from green (precipitation) water at a spatial resolution of 5 arc minutes by 5 arc minutes for 26 different crop classes. The model is based on soil water balances performed for each crop and each grid cell. For the first time a new global data set was applied consisting of monthly growing areas of irrigated crops and related cropping calendars. Crop water use was computed for irrigated land and the period 1998 – 2002. In this documentation report the data sets used as model input and methods used in the model calculations are described, followed by a presentation of the first results for blue and green water use at the global scale, for countries and specific crops. Additionally the simulated seasonal distribution of water use on irrigated land is presented. The computed model results are compared to census based statistical information on irrigation water use and to results of another crop water model developed at FAO.