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Abstract: Paliativna oskrba je v slovenskem prostoru mlada stroka. Z njenim razvojem so se začeli uporabljati številni izrazi, ki so včasih nejasno in nenatančno opredeljeni. Posledica tega je, tako med strokovnjaki kot na splošno v družbi, njeno neustrezno razumevanje. občasno zato prihaja do nesporazumov in posledično tudi do strokovnih napak. Namen izvajanja paliativne oskrbe je zagotoviti čim boljšo kakovost življenja bolnikom z napredujočimi neozdravljivimi boleznimi ter nuditi podporo njihovim bližnjim, v času bolnikove bolezni in po smrti. V paliativni oskrbi zdravstveno osebje veliko bolj kot sicer posveča pozornost celostni obravnavi posameznega človeka, kot osebo z individualnimi telesnimi, psihološkimi, socialnimi in duhovnimi potrebami. To je dinamičen proces, saj se moramo ves čas prilagajati trenutnim potrebam bolnika in njegovih bližnjih ter z aktivnim načrtovanjem učinkovito preprečevati nove in nepotrebne zaplete. Zgodnja paliativna oskrba se v začetku obravnave bolnika z neozdravljivo boleznijo prepleta s specifičnim zdravljenjem. Kasneje, z napredovanjem bolezni, obravnava prehaja v obdobje pozne paliativne oskrbe in obdobje oskrbe umirajočega. Po sodobnih smernicah se paliativna oskrba izvaja celostno, neprekinjeno in integrirano v ostale zdravstvene stroke. Cilj paliativne oskrbe je sledenje vrednotam posameznika in ohranjanje dostojanstva življenja. V prispevku smo zbrali najpogosteje uporabljene izraze s področja paliativne oskrbe. Na podlagi mednarodnih priporočil, lokalnih značilnosti in nacionalnih izkušenj smo jih skušali čim bolj jasno opredeliti za naš prostor. Natančno opredeljeni pojmi paliativne oskrbe in njihova dosledna uporaba bodo vodili k boljšemu medsebojnemu razumevanju strokovnjakov in uporabnikov paliativne oskrbe ter k njenemu kakovostnejšemu izvajanju.
Keywords: paliativna oskrba, zdravljenje, mesebojno sporazumevanje
Published in DiRROS: 04.01.2021; Views: 1956; Downloads: 478
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Published in DiRROS: 24.11.2020; Views: 1238; Downloads: 846
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Abstract: Norway spruce (Picea abies L.) is among the most sensitive coniferous species to ongoing climate change. However, previous studies on its growth response to increasing temperatures have yielded contrasting results (from stimulation to suppression), suggesting highly site-specific responses. Here, we present the first study that applies two independent approaches, i.e. the nonlinear, process-based Vaganov-Shashkin (VS) model and linear daily response functions. Data were collected at twelve sites in Slovenia differing in climate regimes and ranging elevation between 170 and 1300 m a.s.l. VS model results revealed that drier Norway spruce sites at lower elevations are mostly moisture limited, while moist high-elevation sites are generally more temperature limited. Daily response functions match well the pattern of growth-limiting factors from the VS model and further explain the effect of climate on radial growth: prevailing growth-limiting factors correspond to the climate variable with higher correlations. Radial growth correlates negatively with rising summer temperature and positively with higher spring precipitation. The opposite response was observed for the wettest site at the highest elevation, which positively reacts to increased summer temperature and will most likely benefit from a warming climate. For all other sites, the future radial growth of Norway spruce largely depends on the balance between spring precipitation and summer temperature.
Keywords: Vaganov-Shashkin model, climate-growth correlations, tree rings, process-based modelling, dendroTools, dendroclimatology
Published in DiRROS: 21.10.2020; Views: 1282; Downloads: 1016
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Abstract: Climate-growth relationships are usually analysed using monthly climate data. The dendroTools R package also provides methodological approaches that enable climate-growth analysis for daily climate data. Such analysis reveals more complete climate signal patterns. In this article, new functions of the dendroTools R package are presented. Partial correlation coefficients are now implemented and can be used to calculate the strength of a linear relationship between two variables, while controlling for a third variable. Bootstrapped correlations can then be used to provide insights into the confidence intervals of statistical estimates. The calculation of partial and bootstrapped correlations is available for daily and monthly data. Finally, data transformation, S3 generic plotting and summary functions are also presented here.
Keywords: dendroTools, daily climate data, partial correlations, bootstrap, dendroclimatology
Published in DiRROS: 24.09.2020; Views: 1288; Downloads: 580
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Published in DiRROS: 11.08.2020; Views: 1590; Downloads: 645
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