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- Arvidsson, Eva, et al.
(författare)
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Measuring quality in primary healthcare - Opportunities and weaknesses
- 2019
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Ingår i: Zdravstveno Varstvo. - : National Institute of Public Health. - 0351-0026 .- 1854-2476. ; 58:3, s. 101-103
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Tidskriftsartikel (refereegranskat)abstract
- The easy access to data from electronic patient records has made using this type of data in pay-for performance systems increasingly common. General practitioners (GPs) throughout Europe oppose this for several reasons. Not all data can be used to derive good quality indicators and quality indicators can’t reflect the broad scope of primary care. Qualities like person-centred care and continuity are particularly difficult to measure. The indicators urge doctors and nurses to spend too much time on the registration and administration of required data. However, quality indicators can be very useful as starting points for discussions about quality in primary care, with the purpose being to initiate, stimulate and support local improvement work. This led to The European Society for Quality and Patient Safety in General Practice (EQuiP) feeling the urge to clarify the different aspects of quality indicators by updating their statement on measuring quality in Primary Care. The statement has been endorsed by the Wonca Europe Council in 2018.
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| 2. |
- Lunt, Daniel J., et al.
(författare)
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The DeepMIP contribution to PMIP4 : experimental design for model simulations of the EECO, PETM, and pre-PETM (version 1.0)
- 2017
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Ingår i: Geoscientific Model Development. - : Copernicus GmbH. - 1991-959X .- 1991-9603. ; 10:2, s. 889-901
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Tidskriftsartikel (refereegranskat)abstract
- Past warm periods provide an opportunity to evaluate climate models under extreme forcing scenarios, in particular high (>800 ppmv) atmospheric CO2 concentrations. Although a post hoc intercomparison of Eocene (similar to 50 Ma) climate model simulations and geological data has been carried out previously, models of past high-CO2 periods have never been evaluated in a consistent framework. Here, we present an experimental design for climate model simulations of three warm periods within the early Eocene and the latest Paleocene (the EECO, PETM, and pre-PETM). Together with the CMIP6 pre-industrial control and abrupt 4 x CO2 simulations, and additional sensitivity studies, these form the first phase of DeepMIP - the Deep-time Model Intercomparison Project, itself a group within the wider Paleo-climate Modelling Intercomparison Project (PMIP). The experimental design specifies and provides guidance on boundary conditions associated with palaeogeography, greenhouse gases, astronomical configuration, solar constant, land surface processes, and aerosols. Initial conditions, simulation length, and output variables are also specified. Finally, we explain how the geological data sets, which will be used to evaluate the simulations, will be developed.
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