Vaihtoehtoisia korvausmalleja hammashoidon sairausvakuutusjärjestelmän kehittämiseksi

Tässä tutkimuksessa tavoitteena oli tarjota vaihtoehtoja keskusteluun hammashoidon sairausvakuutuskorvausjärjestelmän uudistamiseksi. Vaihtoehtoisten korvausmallien, porrasmallin ja tilimallin, korvauksia verrattiin vuonna 2009 voimassa olleen taksamallin korvauksiin. Laskelmien avulla arvioitiin, ketkä korvausta saaneet hyötyisivät ja ketkä häviäisivät. Tutkimuksen aineistona oli otos henkilöistä, jotka saivat sairausvakuutuksen sairaanhoitokorvausta yksityisen hammashoidon kustannuksista vuonna 2009. Otoksen koko oli 100 000 henkilöä, joilla oli yhteensä 503 093 toimenpidettä. Aineistossa oli tiedot henkilöille tehdyistä toimenpiteistä, toimenpiteistä maksetuista palkkioista ja saaduista korvauksista. Taustamuuttujia aineistossa olivat sukupuoli, ikä, kotikunta ja valtionveronalaiset vuositulot. Laskelmissa käytettiin kahta vaihtoehtoista korvausmallia: porrasmallia ja tilimallia. Porrasmallissa korvaus nousi, kun asiakkaan kustannukset nousivat. Tilimallissa kaikilla oli käytössään vuosittain samansuuruinen korvaussumma. Tutkimusaineiston todellisille toimenpiteille laskettiin vaihtoehtoisten mallien mukaiset korvaukset. Laskelmissa oletettiin, että henkilöiden toimenpiteet ja toimenpiteiden palkkiot säilyvät ennallaan. Korvausmallit pidettiin kustannusneutraaleina, joten niiden korvaussumma oli korkeintaan vuoden 2009 tasolla. Laskelmat osoittivat, että tilimallista hyötyisi kolme neljästä korvauksen saajasta. Korvausprosentti oli taksamallia korkeampi, kun vuosikustannus eivät ylittäneet 500 euroa. Porrasmallin käyttöönotosta hyötyisi yksi kymmenestä korvauksen saajasta. Korvausprosentti kasvoi, jos vuosikustannus ylitti 800 euroa. Sitä pienemmällä vuosikustannuksella korvausprosentti pieneni taksamalliin verrattuna. Jos sairausvakuutuksen korvausjärjestelmää halutaan uudistaa kustannusneutraalisti ja samalla parantaa edellytyksiä käyttää yksityisiä hammashoitopalveluja, tulisi soveltaa tilimallia porrasmallin asemesta

Nitrous oxide emission budgets and land-use-driven hotspots for organic soils in Europe

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Soil carbon loss in warmed subarctic grasslands is rapid and restricted to topsoil

Global warming may lead to carbon transfers from soils to the atmosphere, yet this positive feedback to the climate system remains highly uncertain, especially in subsoils (Ilyina and Friedlingstein, 2016; Shi et al., 2018). Using natural geothermal soil warming gradients of up to +6.4 degrees C in subarctic grasslands (Sigurdsson et al., 2016), we show that soil organic carbon (SOC) stocks decline strongly and linearly with warming (-2.8 t ha(-1) degrees C-1). Comparison of SOC stock changes following medium-term (5 and 10 years) and long-term (> 50 years) warming revealed that all SOC stock reduction occurred within the first 5 years of warming, after which continued warming no longer reduced SOC stocks. This rapid equilibration of SOC observed in Andosol suggests a critical role for ecosystem adaptations to warming and could imply short-lived soil carbon-climate feedbacks. Our data further revealed that the soil C loss occurred in all aggregate size fractions and that SOC stock reduction was only visible in topsoil (0-10 cm). SOC stocks in subsoil (10-30 cm), where plant roots were absent, showed apparent conservation after > 50 years of warming. The observed depth-dependent warming responses indicate that explicit vertical resolution is a prerequisite for global models to accurately project future SOC stocks for this soil type and should be investigated for soils with other mineralogies

Vaccine-Induced Antibody Responses against SARS-CoV-2 Variants-Of-Concern Six Months after the BNT162b2 COVID-19 mRNA Vaccination

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants has raised concern about increased transmissibility, infectivity, and immune evasion from a vaccine and infection-induced immune responses. Although COVID-19 mRNA vaccines have proven to be highly effective against severe COVID-19 disease, the decrease in vaccine efficacy against emerged Beta and Delta variants emphasizes the need for constant monitoring of new virus lineages and studies on the persistence of vaccine-induced neutralizing antibodies. To analyze the dynamics of COVID-19 mRNA vaccine-induced antibody responses, we followed 52 health care workers in Finland for 6 months after receiving two doses of BNT162b2 vaccine with a 3-week interval. We demonstrate that, although anti-S1 antibody levels decrease 2.3-fold compared to peak antibody levels, anti-SARS-CoV-2 antibodies persist for months after BNT162b2 vaccination. Variants D614G, Alpha, and Eta are neutralized by sera of 100% of vaccinees, whereas neutralization of Delta is 3.8-fold reduced and neutralization of Beta is 5.8-fold reduced compared to D614G. Despite this reduction, 85% of sera collected 6 months postvaccination neutralizes Delta variant.</p

A Combination of N and S Antigens With IgA and IgG Measurement Strengthens the Accuracy of SARS-CoV-2 Serodiagnostics

Background: Primary diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is based on detection of virus RNA in nasopharyngeal swab samples. In addition, analysis of humoral immunity against SARS-CoV-2 has an important role in viral diagnostics and seroprevalence estimates.Methods: We developed and optimized an enzyme immunoassays (EIA) using SARS-CoV-2 nucleoprotein (N), S1 and receptor binding domain (RBD) of the viral spike protein, and N proteins from SARS, Middle East respiratory syndrome (MERS), and 4 low-pathogenic human CoVs. Neutralizing antibody activity was compared with SARS-CoV-2 IgG, IgA, and IgM EIA results.Results: The sensitivity of EIA for detecting immune response in COVID-19 patients (n = 101) was 77% in the acute phase and 100% in the convalescent phase of SARS-CoV-2 infection when N and RBD were used as antigens in IgG and IgA specific EIAs. SARS-CoV-2 infection significantly increased humoral immune responses against the 229E and NL63 N proteins. S1 and RBD-based EIA results had a strong correlation with microneutralization test results.Conclusions: The data indicate a combination of SARS-CoV-2 S1 or RBD and N proteins and analysis of IgG and IgA immunoglobulin classes in sera provide an excellent basis for specific and sensitive serological diagnostics of COVID-19.</p

Genetic and Environmental Controls on Nitrous Oxide Accumulation in Lakes

We studied potential links between environmental factors, nitrous oxide (N2O) accumulation, and genetic indicators of nitrite and N2O reducing bacteria in 12 boreal lakes. Denitrifying bacteria were investigated by quantifying genes encoding nitrite and N2O reductases (nirS/nirK and nosZ, respectively, including the two phylogenetically distinct clades nosZ(I) and nosZ(II)) in lake sediments. Summertime N2O accumulation and hypolimnetic nitrate concentrations were positively correlated both at the inter-lake scale and within a depth transect of an individual lake (Lake Vanajavesi). The variability in the individual nirS, nirK, nosZ(I), and nosZ(II) gene abundances was high (up to tenfold) among the lakes, which allowed us to study the expected links between the ecosystem's nir-vs-nos gene inventories and N2O accumulation. Inter-lake variation in N2O accumulation was indeed connected to the relative abundance of nitrite versus N2O reductase genes, i.e. the (nirS+nirK)/nosZ(I) gene ratio. In addition, the ratios of (nirS+ nirK)/nosZ(I) at the inter-lake scale and (nirS+ nirK)/nosZ(I+II) within Lake Vanajavesi correlated positively with nitrate availability. The results suggest that ambient nitrate concentration can be an important modulator of the N2O accumulation in lake ecosystems, either directly by increasing the overall rate of denitrification or indirectly by controlling the balance of nitrite versus N2O reductase carrying organisms.Peer reviewe