668 research outputs found

    Categorización de las farmacias españolas según la teoría de difusión de las innovaciones de Rogers en relacion a la práctica del seguimiento farmacoterapéutico

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    Introduccion: El presente estudio pretende categorizar las farmacias españolas en función de su situación en el proceso de decisión-innovación de Rogers en relación a la provisión del Seguimiento Farmacoterapéutico (SFT). Metodo: Se empleó un cuestionario, no validado, previamente utilizado con el mismo objetivo, mediante la técnica de CATI. Las variables dependientes fueron las cinco fases del proceso de implantación/adopción de Rogers [Conocimiento (F-C); Persuasión (F-P); Decisión (F-D); Implantación (F-I); Mantenimiento (F-M)], a las que se sumó la fase previa al conocimiento (No conocen). Las farmacias en F-M se sub-categorizaron en función del número de pacientes en Seguimiento, siempre que éste fuera superior a 1: (F-M1) de 2 a 5 pacientes; (F-M2) 6 a 10 pacientes; (F-M3) 11 a 25 pacientes; (F-M4) 26 a 50; (F-M5) 51 a 100 y (F-M6) 101 ó más pacientes. Las farmacias con un único paciente se incluyeron en F-I. Resultados: Se obtuvieron 1.135 respuestas (tasa de respuesta = 54%). Su distribución según el proceso de decisión/innovación de Rogers es la siguiente: No conocen (353; 31,1%); F-C (351; 30,9%); F-P (145; 12,8%); F-D (129; 11,4%); F-I (100; 8,8%); F-M (57; 5,0%). Las subcategorías en la F-M son: F-M1(15; 26,3%); F-M2 (12; 21,1%); F-M3 (10; 17,5%) F-M4 (10; 17,5%); F-M5 (4; 7,0%). Hay grandes diferencias entre las distintas CCAA siendo Aragón la que tiene mayor porcentaje de farmacias en F-I y F-M mientras que Cantabria es la que mayor desconocimiento refleja (50,0%) con un 0% en las F-I y F-M. También se observa un 0% en F-M en La Rioja, Canarias y Asturias. La existencia de una ZAP se muestra como un facilitador para la realización del servicio y la presencia de un responsable del SFT parece que es importante para conseguir su mantenimiento una vez implantado el mismo. Conclusiones: A pesar de los esfuerzos realizados por diferentes organizaciones e instituciones para impulsar la implantación y sostenibilidad del SFT, de acuerdo con los datos obtenidos es posible afirmar que este servicio se encuentra muy poco implantado en España. El hecho de que en la farmacia exista una zona de atención personalizada (ZAP) se muestra como un elemento que facilita la implantación del SFT. Por otra parte, la existencia de un farmacéutico responsable del servicio aparece como un elemento que permite la sostenibilidad del mismo una vez implantado. Es necesario modificar los objetivos de la formación postgrado de los farmacéuticos. Esta debe estar menos orientada a aumentar el conocimiento y más orientada a mejorar las habilidades y competencias, es decir, debe estar encaminada al cambio de comportamiento.Introduction: The aim of the study is to categorize Spanish Community Pharmacies in relation to their position in the innovation-decision process by Rogers, in relation to the provision of Medication Review with follow up. Methods: A non validated questionnaire, previously used with the same objective, was used through a CATI methodology. The dependent variables were the five different innovation/decision phases defined by Rogers [Knowledge (F-C); Persuasion (F-P); Decision (F-D); Implementation (F-I); Maintenance (F-M). Another further phase was added including pharmacists in a phase previous to knowledge (No knowledge). Pharmacies in F-M were sub categorized in relation to the number of patients receiving the service: (F-M1) from 2 to 5 patients; (F-M2) 6 to 10 patients; (F-M3) 11 to 25 patients; (F-M4) 26 to 50 patients); (F-M5) 51 to 100 and (F-M6) 101 or more patients. Pharmacies with only one patient were included in F-I. Results: 1135 answers were received (response rate = 54%). Their distribution, according to the innovation/decision process by Rogers, was as follows: No knowledge (353; 31.1%); F-C (351; 30.9%); F-P (145; 12.8%); F-D (129; 11.4%); F-I (100; 8.8%); F-M (57; 5.0%). The F-M sub categories were: F-M1 (15; 26.3%); F-M2 (12; 21.1%); F-M3 (10; 17.5%) F-M4 (10; 17.5%); F-M5 (4; 7.0%). There are huge differences among Autonomous Communities, being Aragon the one with more pharmacies located in F-I and F-M, while Cantabria shows the most high level of no-knowledge (50.0%) having a 0.0% in F-I and F-M. A 0% in F-M is also shown in La Rioja, Canarias and Asturias. The existence of a private consultation room (ZAP) is shown as a facilitator for the provision of the service, and the existence of a responsible for the service seems to be very important to the sustainability of the service after it implementation. Conclusions: However the great efforts already done by different organizations and institutions to promote the implementation and sustainability of Medication Review with follow up, according to the data obtained in this study is possible to affirm that so far this service is poorly implemented in Spain. The existence of a private consultation room (ZAP) is shown as a facilitator for the implementation of Medication Review with follow up. On the other hand the existence of a pharmacist being the responsible for the service is shown as a support to the sustainability of the service, once this has been implemented. It seems necessary to change post degree educational programs. These shouldn’t be directed only to improve knowledge, but to develop skills and competencies, what means that these programs should try to change behaviours

    Aquaporin 5 Interacts with Fluoride and Possibly Protects Against Caries

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    Aquaporins (AQP) are water channel proteins and the genes coding for AQP2, AQP5, and AQP6 are clustered in 12q13. Since AQP5 is expressed in serous acinar cells of salivary glands, we investigated its involvement in caries. DNA samples from 1,383 individuals from six groups were studied. Genotypes of eight single nucleotide polymorphisms covering the aquaporin locus were tested for association with caries experience. Interaction with genes involved in enamel formation was tested. The association between enamel microhardness at baseline, after creation of artificial caries lesion, and after exposure to fluoride and the genetic markers in AQP5 was tested. Finally, AQP5 expression in human whole saliva, after exposure to fluoride in a mammary gland cell line, which is known to express AQP5, and in Wistar rats was also verified. Nominal associations were found between caries experience and markers in the AQP5 locus. Since these associations suggested that AQP5 may be inhibited by levels of fluoride in the drinking water that cause fluorosis, we showed that fluoride levels above optimal levels change AQP5 expression in humans, cell lines, and rats. We have shown that AQP5 is involved in the pathogenesis of caries and likely interact with fluoride.Fil: Anjomshoaa, Ida. University of Pittsburgh; Estados UnidosFil: Briseño Ruiz, Jessica. University of Pittsburgh; Estados UnidosFil: Deeley, Kathleen. University of Pittsburgh; Estados UnidosFil: Poletta, Fernando Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. CEMIC-CONICET. Centro de Educaciones Médicas e Investigaciones Clínicas "Norberto Quirno". CEMIC-CONICET.; ArgentinaFil: Mereb, Juan C.. Provincia de Río Negro. Ministerio de Salud. Hospital de Área El Bolsón ; ArgentinaFil: Leite, Aline L.. Universidade de Sao Paulo; BrasilFil: Barreta, Priscila A. T.. Universidade de Sao Paulo; BrasilFil: Silva, Thelma L.. Universidade de Sao Paulo; BrasilFil: Dizak, Piper. University of Pittsburgh; Estados UnidosFil: Ruff, Timothy. University of Pittsburgh; Estados UnidosFil: Patir, Asli. İstanbul Medipol Üniversitesi; TurquíaFil: Koruyucu, Mine. İstanbul Üniversitesi; TurquíaFil: Abbasoğlu, Zerrin. Yeditepe Üniversitesi; TurquíaFil: Casado, Priscila L.. Universidade Federal Fluminense; BrasilFil: Brown, Andrew. University of Pittsburgh; Estados UnidosFil: Zaky, Samer H.. University of Pittsburgh; Estados UnidosFil: Bayram, Merve. İstanbul Medipol Üniversitesi; TurquíaFil: Küchler, Erika C.. University of Pittsburgh; Estados UnidosFil: Cooper, Margaret E.. University of Pittsburgh; Estados UnidosFil: Liu, Kai. University of Pittsburgh; Estados UnidosFil: Marazita, Mary L.. University of Pittsburgh; Estados UnidosFil: Tanboğa, İlknur. Marmara Üniversitesi; TurquíaFil: Granjeiro, José M.. Universidade Federal Fluminense; Brasil. Instituto Nacional de Metrologia, Qualidade e Tecnologia; BrasilFil: Seymen, Figen. İstanbul Üniversitesi; TurquíaFil: Castilla, Eduardo Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. CEMIC-CONICET. Centro de Educaciones Médicas e Investigaciones Clínicas "Norberto Quirno". CEMIC-CONICET.; Argentina. Fundación Oswaldo Cruz; BrasilFil: Orioli, Iêda M.. Universidade Federal do Rio de Janeiro; BrasilFil: Sfeir, Charles. University of Pittsburgh; Estados UnidosFil: Owyang, Hongjiao. Marmara Üniversitesi; TurquíaFil: Rabelo Buzalaf, Marilia Afonso. Universidade de Sao Paulo; BrasilFil: Vieira, Alexandre R.. University of Pittsburgh; Estados Unido

    A multiple stakeholder multicriteria decision analysis in diabetic macular edema management: the MULTIDEX‑EMD study

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    Background The clinical and economic management of retinal diseases has become more complex following the introduction of new intravitreal treatments. Multicriteria decision analysis (MCDA) ofers the potential to overcome the challenges associated with traditional decision-making tools. Objectives A MCDA to determine the most relevant criteria to decision-making in the management of diabetic macular edema (DME) based on the perspectives of multiple stakeholders in Spain was developed. This MCDA was termed the MULTIDEX-EMD study. Methods Nineteen stakeholders (7 physicians, 4 pharmacists, 5 health authorities and health management experts, 1 psychologist, and 2 patient representatives) participated in this three-phase project. In phase A, an advisory board defned all of the criteria that could infuence DME treatment decision-making. These criteria were then screened using a discrete choice experiment (DCE) (phase B). Next, a multinomial logit model was ftted by applying the backward elimination algorithm (relevant criteria: p value<0.05). Finally, the results were discussed in a deliberative process (phase C). Results Thirty-one criteria were initially defned (phase A) and grouped into 5 categories: efcacy/efectiveness, safety, organizational and economic impact, patient-reported outcomes, and other therapeutic features. The DCE results (phase B) showed that 10 criteria were relevant to the decision-making process for a 50- to 65-year-old DME patient: mean change in best corrected visual acuity (p value<0.001), percentage of patients with an improvement of ≥15 letters (p value<0.001), efect duration per administration (p value=0.008), retinal detachment (p value<0.001), endophthalmitis (p value=0.012), myocardial infarction (p value<0.001), intravitreal hemorrhage (p value=0.021), annual treatment cost per patient (p value=0.001), health-related quality of life (HRQoL) (p value=0.004), and disability level (p value=0.021). Conclusions From a multi-stakeholder perspective, the selection of an appropriate treatment for DME patients should guarantee patient safety and maximize the visual acuity improvement and treatment efect duration. It should also contribute to system sustainability by being afordable, it should have a positive impact on HRQoL, and it should prevent disability

    Single hadron response measurement and calorimeter jet energy scale uncertainty with the ATLAS detector at the LHC

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    The uncertainty on the calorimeter energy response to jets of particles is derived for the ATLAS experiment at the Large Hadron Collider (LHC). First, the calorimeter response to single isolated charged hadrons is measured and compared to the Monte Carlo simulation using proton-proton collisions at centre-of-mass energies of sqrt(s) = 900 GeV and 7 TeV collected during 2009 and 2010. Then, using the decay of K_s and Lambda particles, the calorimeter response to specific types of particles (positively and negatively charged pions, protons, and anti-protons) is measured and compared to the Monte Carlo predictions. Finally, the jet energy scale uncertainty is determined by propagating the response uncertainty for single charged and neutral particles to jets. The response uncertainty is 2-5% for central isolated hadrons and 1-3% for the final calorimeter jet energy scale.Comment: 24 pages plus author list (36 pages total), 23 figures, 1 table, submitted to European Physical Journal

    Measurement of χ c1 and χ c2 production with s√ = 7 TeV pp collisions at ATLAS

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    The prompt and non-prompt production cross-sections for the χ c1 and χ c2 charmonium states are measured in pp collisions at s√ = 7 TeV with the ATLAS detector at the LHC using 4.5 fb−1 of integrated luminosity. The χ c states are reconstructed through the radiative decay χ c → J/ψγ (with J/ψ → μ + μ −) where photons are reconstructed from γ → e + e − conversions. The production rate of the χ c2 state relative to the χ c1 state is measured for prompt and non-prompt χ c as a function of J/ψ transverse momentum. The prompt χ c cross-sections are combined with existing measurements of prompt J/ψ production to derive the fraction of prompt J/ψ produced in feed-down from χ c decays. The fractions of χ c1 and χ c2 produced in b-hadron decays are also measured

    Standalone vertex finding in the ATLAS muon spectrometer

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    A dedicated reconstruction algorithm to find decay vertices in the ATLAS muon spectrometer is presented. The algorithm searches the region just upstream of or inside the muon spectrometer volume for multi-particle vertices that originate from the decay of particles with long decay paths. The performance of the algorithm is evaluated using both a sample of simulated Higgs boson events, in which the Higgs boson decays to long-lived neutral particles that in turn decay to bbar b final states, and pp collision data at √s = 7 TeV collected with the ATLAS detector at the LHC during 2011

    Measurements of Higgs boson production and couplings in diboson final states with the ATLAS detector at the LHC

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    Measurements are presented of production properties and couplings of the recently discovered Higgs boson using the decays into boson pairs, H →γ γ, H → Z Z∗ →4l and H →W W∗ →lνlν. The results are based on the complete pp collision data sample recorded by the ATLAS experiment at the CERN Large Hadron Collider at centre-of-mass energies of √s = 7 TeV and √s = 8 TeV, corresponding to an integrated luminosity of about 25 fb−1. Evidence for Higgs boson production through vector-boson fusion is reported. Results of combined fits probing Higgs boson couplings to fermions and bosons, as well as anomalous contributions to loop-induced production and decay modes, are presented. All measurements are consistent with expectations for the Standard Model Higgs boson

    Measurement of the top quark pair cross section with ATLAS in pp collisions at √s=7 TeV using final states with an electron or a muon and a hadronically decaying τ lepton

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    A measurement of the cross section of top quark pair production in proton-proton collisions recorded with the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy of 7 TeV is reported. The data sample used corresponds to an integrated luminosity of 2.05 fb -1. Events with an isolated electron or muon and a τ lepton decaying hadronically are used. In addition, a large missing transverse momentum and two or more energetic jets are required. At least one of the jets must be identified as originating from a b quark. The measured cross section, σtt-=186±13(stat.)±20(syst.)±7(lumi.) pb, is in good agreement with the Standard Model prediction

    Measurement of the top quark-pair production cross section with ATLAS in pp collisions at \sqrt{s}=7\TeV

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    A measurement of the production cross-section for top quark pairs(\ttbar) in pppp collisions at \sqrt{s}=7 \TeV is presented using data recorded with the ATLAS detector at the Large Hadron Collider. Events are selected in two different topologies: single lepton (electron ee or muon μ\mu) with large missing transverse energy and at least four jets, and dilepton (eeee, μμ\mu\mu or eμe\mu) with large missing transverse energy and at least two jets. In a data sample of 2.9 pb-1, 37 candidate events are observed in the single-lepton topology and 9 events in the dilepton topology. The corresponding expected backgrounds from non-\ttbar Standard Model processes are estimated using data-driven methods and determined to be 12.2±3.912.2 \pm 3.9 events and 2.5±0.62.5 \pm 0.6 events, respectively. The kinematic properties of the selected events are consistent with SM \ttbar production. The inclusive top quark pair production cross-section is measured to be \sigmattbar=145 \pm 31 ^{+42}_{-27} pb where the first uncertainty is statistical and the second systematic. The measurement agrees with perturbative QCD calculations.Comment: 30 pages plus author list (50 pages total), 9 figures, 11 tables, CERN-PH number and final journal adde

    Measurement of the production of a W boson in association with a charm quark in pp collisions at √s = 7 TeV with the ATLAS detector

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    The production of a W boson in association with a single charm quark is studied using 4.6 fb−1 of pp collision data at s√ = 7 TeV collected with the ATLAS detector at the Large Hadron Collider. In events in which a W boson decays to an electron or muon, the charm quark is tagged either by its semileptonic decay to a muon or by the presence of a charmed meson. The integrated and differential cross sections as a function of the pseudorapidity of the lepton from the W-boson decay are measured. Results are compared to the predictions of next-to-leading-order QCD calculations obtained from various parton distribution function parameterisations. The ratio of the strange-to-down sea-quark distributions is determined to be 0.96+0.26−0.30 at Q 2 = 1.9 GeV2, which supports the hypothesis of an SU(3)-symmetric composition of the light-quark sea. Additionally, the cross-section ratio σ(W + +c¯¯)/σ(W − + c) is compared to the predictions obtained using parton distribution function parameterisations with different assumptions about the s−s¯¯¯ quark asymmetry
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