Summary Increasing the amount of carbon stored in harvested wood products (HWPs) is an internationally recognized measure to mitigate climate change. Several approaches and tiers of methods may be used to analyze the contribution of HWP in terms of greenhouse gas emissions and removals at a regional and national level. The Intergovernmental Panel on Climate Change (IPCC) provides guidelines on three tiers of methods for estimating annual carbon stock changes in the carbon pool of HWPs. These tiers mostly differ by the availability of input data and the level of HWP aggregation. In this case study for the Czech Republic, we have applied the production approach and alternative tiers of accounting methods, which are described in the IPCC guidelines, including the default method (tier 2) and the most advanced method (tier 3). We used country‐specific data and material flow analysis to trace the carbon flow over the entire forest‐based sector, including only the domestic harvest and the primary and secondary wood products manufactured within the country. The results of this study show that the carbon stored in the HWP pool could be underestimated if simpler methods and default values nonspecific to the country are applied. At the national level, applying the tier 3 method resulted in a 15.8% higher annual carbon inflow in the pool of HWPs compared to the tier 2 IPCC default method. This means that the advanced method reveals an apparently higher carbon sink in HWPs. A documented increase of carbon storage might bring additional credits to reporting countries, and, more important, it could promote the use of long‐life HWPs to mitigate climate change.

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Carbon storage in harvested wood products (HWPs) is seen as a measure to mitigate climate change. The increased use of long-life wood products, however, should be thoroughly analysed before being promoted as a climate mitigation strategy. The national carbon pool of HWPs is very dynamic, due to changing patterns of wood product consumption and trade. Carbon accounting models are a common tool for estimating and projecting carbon pools. The purpose of this study is to analyse and find the relevant features of existing models that are related to the carbon pool in HWPs. From the many existing models, we have selected several representative models. We have analysed these selected models in depth by looking at their features, components and application. The models have variable features, depending on their scope and the modelling objectives. Significant modelling components for assessing the climate change mitigation potential of wood products are often missing. For example, the material substitution effect in the construction sector is rarely quantified, even if it would result in a significant reduction of greenhouse gas emissions. In this paper, we propose modelling components for a scenario-based model capable of using country-specific data for major groups of HWPs that would allow improved assessments of the climate change mitigation potential of alternative forest resource utilisation scenarios.

Travel costs related to HbA1c screening of T2DM patients constitute a substantial cost item, the consideration of which in healthcare planning would enable the societal cost-efficiency of T2DM care to be improved. Even more savings in both travel costs and healthcare costs of T2DM can be achieved by utilizing more self-monitoring and electronic feedback practices. Additionally, the cost model composed in the study can be developed and expanded further to address other healthcare processes and patient groups.

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BackgroundAnticoagulation therapy is used for atrial fibrillation (AF) patients for reducing the risk of cardioembolic complications such as stroke. The previously recommended anticoagulant, warfarin, has a narrow therapeutic window, and it requires regular laboratory monitoring, unlike direct oral anticoagulants (DOAC). From a societal perspective, it is important to measure time and travel costs associated with warfarin monitoring to better compare the total therapy costs of these two alternative forms of anticoagulation management. In this study we design a georeferenced cost model to investigate societal savings achievable with the shift from warfarin to DOACs in the study region of North Karelia in Eastern Finland.MethodsIndividual-level patient data of 6519 AF patients was obtained from the regional patient database. Patients’ geocoded home addresses and other GIS data were used to perform a network analysis for the optimal routes for warfarin monitoring visits. These measures of revealed accessibility were then used in the cost model to measure monetary time and travel costs in addition to direct healthcare costs of anticoagulation management.ResultsThe share of time and travel costs in warfarin monitoring is 26.6% of the total therapy costs in our study region. With current drug retail prices in Finland, the societal expense of anticoagulation management is only 2.6% higher with DOACs than in the baseline with warfarin. However, when 25% lower distributor’s prices are used, the total societal cost decreases by 13.6% with DOACs.ConclusionsOur results indicate that patients’ time and travel costs critically increase the societal cost of warfarin therapy; and despite the higher price of DOACs, they are already cost-efficient alternatives to warfarin in anticoagulation management. In the future, the cost of AF complications should be included in the cost comparison between warfarin and DOACs. Our modeling approach applies to different geographical regions and to different healthcare processes requiring patient monitoring.

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