The Global Ozone Monitoring Experiment-2 (GOME-2) flies on the Metop series of satellites, the space component of the EUMETSAT Polar System. In this paper we will provide an overview of the ...instrument design, the on-ground calibration and characterization activities, in-flight calibration, and level 0 to 1 data processing. The current status of the level 1 data is presented and points of specific relevance to users are highlighted. Long-term level 1 data consistency is also discussed and plans for future work are outlined. The information contained in this paper summarizes a large number of technical reports and related documents containing information that is not currently available in the published literature. These reports and documents are however made available on the EUMETSAT web pages and readers requiring more details than can be provided in this overview paper will find appropriate references at relevant points in the text.
The Polar Multi-Sensor Aerosol product (PMAp) is based on the synergistic use of three instruments from the Metop platform, GOME-2, AVHRR, and IASI. The retrieval algorithm includes three major ...steps: a pre-identification of the aerosol class, a selection of the aerosol model, and a calculation of the Aerosol Optical Depth (AOD). This paper provides a detailed description of the PMAp retrieval, which combines information provided by the three instruments. The retrieved AOD is qualitatively evaluated, and a good temporal as well as spatial performance is observed, including for the transition between ocean and land. More quantitatively, the performance is evaluated by comparison to AERONET in situ measurements. Very good consistency is also observed when compared to other space-based data such as MODIS or VIIRS. The paper demonstrates the ability of this first generation of synergistic products to derive reliable AOD, opening the door for the development of synergistic products from the instruments to be embarked on the coming Metop Second Generation platform. PMAp has been operationally distributed in near-real-time since 2014 over ocean, and 2016 over land.
•Multi-angle, multi-spectral and polarised radiances from the Metop SG satellite.•An easy to use and well characterized polarized radiance product by EUMETSAT.•Radiometric error characterization by ...measuring sub-pixel spatial frequencies.
The Multi-viewing, Multi-channel and Multi-polarisation Imager (3MI) on board the Metop-SG satellites will observe polarised multi-spectral radiances of a single target within a very short time period from the visible to the shortwave infrared region with daily global coverage. In order to provide the users of 3MI data with an easy to use and well characterised radiance product EUMETSAT will make a geoprojected and regridded 3MI level-1C product available to users within 70 min of sensing. The paper describes the methodologies of geoprojection and regridding used for the processing of such a product. In addition, the colocation of ancillary information, in particular from the METimage 20-channel imager providing subpixel information of the radiance field and of clouds is described in detail. The latter information is provided as colocated geometric average values in the product and is also used to provide a realistic scene-dependent error introduced by the radiance regridding. Initial estimates, using a synthetic test dataset of top-of-atmosphere radiances of 3MI and METimage at native instrument resolution, provide an upper limit for the additional radiance error contribution depending on the scene homogeneity. Colocated METimage cloud-top height information is also used for parallax correction of the coregistered radiance data either to the cloud height or to the surface elevation, depending on the origin of the dominant radiance signal within the line-of-sight.
Abstract
The aim of the present study was to identify how the transition of care from the hospital to the community occurs from the perspective of puerperal women at risk. An integrative literature ...review was performed, with the question: “How does the transition of care for at-risk puerperal women from the hospital to the community occur?” The search period ranged from 2013 to 2020, in the following databases: PubMed, LILACS, SciELO, and Scopus. MESH, DeCS and Boolean operators “OR” and “AND” are used in the following crossover analysis: patient transfer OR transition care OR continuity of patient care OR patient discharge AND postpartum period, resulting in 6 articles. The findings denote discontinuity of care, given the frequency of non-adherence to the puerperal consultation. Transition studies of care in the puerperium were not found, which requires proposing new studies.
Objetivo: evaluar la transición del cuidado desde la perspectiva de las personas que viven con enfermedades crónicas e identificar su relación con las características clínicas y sociodemográficas. ...Método: estudio transversal, con 487 pacientes dados de alta de un hospital. Se utilizaron los instrumentos de caracterización clínica, sociodemográfica y Care Transitions Measure-15, que mide los factores Preparación para el automanejo, Preferencias aseguradas, Comprensión sobre medicamentos y Plan de cuidados. Análisis estadístico descriptivo e inferencial. Resultados: la transición del cuidado fue satisfactoria (76,8±10,4). Media de factores: Preparación para el automanejo (82,2±10,8), Preferencias aseguradas (84,7±14,3), Comprensión sobre medicamentos (75,7±13,7) y Plan de Cuidados (64,5±13,2). Pacientes del sexo femenino presentaron mayor promedio en el factor comprensión sobre medicamentos. Los blancos y los residentes en áreas urbanas calificaron mejor el Plan de cuidados. La media más alta se observó para el factor Preferencias aseguradas (84,7±14,3) y la más baja para el factor Plan de cuidados (64,5±13,2). En todos los factores se encontraron diferencias significativas en las variables (paciente quirúrgico, tener artefactos clínicos y no estar hospitalizado por COVID-19). Los pacientes internados hasta cinco días presentaron diferencia estadística en los factores Preparación para el automanejo y Comprensión sobre medicamentos. En los pacientes que no reingresaron dentro de los 30 días posteriores al alta, la preparación para el automanejo fue mejor. Cuanto mejor sea la preparación para el automanejo, menores serán las tasas de reingreso a los 30 días. Conclusión: en pacientes que viven con enfermedades crónicas, variables sociodemográficas y clínicas están asociadas a la transición del cuidado. Los pacientes que evaluaron mejor la preparación para el automanejo tuvieron menos reingresos dentro de los 30 días.
Objetivo: avaliar a transição do cuidado na perspectiva de pessoas que vivem com doenças crônicas e identificar sua relação com as características clínicas e sociodemográficas. Método: estudo transversal, com 487 pacientes que receberam alta de um hospital. Foram utilizados instrumentos de caracterização clínica, sociodemográfica e Care Transitions Measure-15, que mensura os fatores Preparo para o autogerenciamento, Preferências asseguradas, Entendimento das medicações e Plano de cuidados. Análise estatística descritiva e inferencial. Resultados: a transição do cuidado foi satisfatória (76,8±10,4). Média dos fatores: preparo para o autogerenciamento (82,2±10,8), Preferências asseguradas (84,7±14,3), Entendimento das medicações (75,7±13,7) e Plano de Cuidados (64,5±13,2). Pacientes do sexo feminino apresentaram média superior no fator entendimento sobre medicações. Brancos e residentes na zona urbana avaliaram melhor o Plano de cuidados. Observou-se a maior média no fator Preferências asseguradas (84,7±14,3) e a menor no fator Plano de cuidados (64,5±13,2). Em todos os fatores, foram encontradas diferenças significativas nas variáveis (paciente cirúrgico, portar artefatos clínicos e não estar internado por COVID-19). Pacientes internados até cinco dias apresentaram diferença estatística nos fatores Preparação para o autogerenciamento e Entendimento das medicações. Em pacientes que não apresentaram reinternação em 30 dias após a alta, o Preparo para o autogerenciamento foi melhor. Quanto melhor o Preparo para o autogerenciamento, menores são os índices de reinternação em 30 dias. Conclusão: em pacientes que vivem com doenças crônicas, variáveis sociodemográficas e clínicas estão associadas à transição do cuidado. Pacientes que avaliaram melhor o preparo para autogerenciamento tiveram menos reinternações em 30 dias.
Objective: evaluate the transition of care from the perspective of people living with chronic diseases and identify its relation with clinical and sociodemographic characteristics. Method: cross-sectional study with 487 patients who were discharged from a hospital. Clinical and sociodemographic characterization instruments were used, as well as the Care Transitions Measure-15, which measures Preparation for self-management, Secured preferences, Understanding about medications and Care plan factors. Descriptive and inferential statistical analysis. Results: the transition of care was satisfactory (76.8±10.4). Average of the factors: Preparation for self-management (82.2±10.8), Secured preferences (84.7±14.3), Understanding about medications (75.7±13.7) and Care plan (64.5±13.2). Female patients had a higher average in the understanding about medications factor. Whites and residents in the urban area better evaluated the Care plan factor. The highest mean was observed for the Secured preferences factor (84.7±14.3) and the lowest for the Care plan factor (64.5±13.2). In all factors, significant differences were found in the variables (surgical patient, carrying clinical artifacts and not being hospitalized for COVID-19). Patients hospitalized for up to five days showed statistical difference in Preparation for self-management and Understanding about medications factors. In patients who were not readmitted within 30 days of discharge, Preparation for self-management was better. The better the Preparation for self-management, the lower the 30-day readmission rates. Conclusion: in patients living with chronic diseases, sociodemographic and clinical variables are associated with the transition of care. Patients who better evaluated preparation for self-management had fewer readmissions within 30 days.
During the CoronaVIrus-19 (COVID-19) pandemic, nursing education has been dramatically transformed and shaped according to the restrictions imposed by national rules. Restoring educational activities ...as delivered in the pre-pandemic era without making a critical evaluation of the transformations implemented, may sacrifice the extraordinary learning opportunity that this event has offered. The aim of this study was to identify a set of recommendations that can guide the Italian nursing education to move forward in the post-pandemic era.
A qualitative descriptive design was undertaken in 2022-2023 and reported here according to the COnsolidated criteria for REporting Qualitative research guidelines. A network was established of nine Italian universities offering a bachelor's degree in nursing for a total of 6135 students. A purposeful sample of 37 Faculty Members, 28 Clinical Nurse Educators and 65 Students/new graduates were involved. A data collection was conducted with a form including open-ended questions concerning which transformations in nursing education had been implemented during the pandemic, which of these should be maintained and valued, and what recommendations should address the transition of nursing education in the post-pandemic era.
Nine main recommendations embodying 18 specific recommendations have emerged, all transversally influenced by the role of the digital transformation, as a complementary and strengthening strategy for face-to-face teaching. The findings also suggest the need to rethink clinical rotations and their supervision models, to refocus the clinical learning aims, to pay attention towards the student community and its social needs, and to define a pandemic educational plan to be ready for unexpected, but possible, future events.
A multidimensional set of recommendations emerged, shaping a strategic map of action, where the main message is the need to rethink the whole nursing education, where digitalization is embodied. Preparing and moving nursing education forward by following the emerged recommendations may promote common standards of education and create the basis on for how to deal with future pandemic/catastrophic events by making ready and prepared the educational systems.
•Operational spaced-based system for aerosol and cloud determination.•Definition of the Multi-view, Multi-spectral and Multi-polarization concept.•Characterization of the system, on-ground as well as ...in-orbit.•Ground processing of the Level-1 products.
The 3MI instrument is one of the missions of the EUMETSAT Polar System Second Generation (EPS-SG) program to be launched in 2021. This polarimetric mission has a direct heritage from the POLDER mission, with improved capabilities and is implemented within a fully operational long-term framework. The spectral range was extended from the visible-near-infrared (410–910 nm) to the shortwave-infrared domain (up to 2200 nm). The spatial resolution (4 km at nadir) and the instantaneous swath (2200 × 2200 km²) were also improved compared to previous POLDER instruments. The 3MI concept of the multi-viewing, multi-spectral and multi-polarized Imaging is described, in particular how these 3 pieces of information are acquired together within a single simple instrument concept. Achieving the performance necessary to meet the mission requirements will rely on a comprehensive initial pre-launch characterization and subsequently extensive in-orbit monitoring based on a vicarious calibration strategy. The level 1 products available to the users will be geo-located Stokes vectors on the native viewing geometry (Level 1B) and geo-projected multi-directional and spectral Stokes vectors (Level 1C). Level-2 products will provide geophysical and microphysical parameters for aerosol and clouds.
OBJECTIVEevaluate the transition of care from the perspective of people living with chronic diseases and identify its relation with clinical and sociodemographic characteristics.METHODcross-sectional ...study with 487 patients who were discharged from a hospital. Clinical and sociodemographic characterization instruments were used, as well as the Care Transitions Measure-15, which measures Preparation for self-management, Secured preferences, Understanding about medications and Care plan factors. Descriptive and inferential statistical analysis.RESULTSthe transition of care was satisfactory (76.8±10.4). Average of the factors: Preparation for self-management (82.2±10.8), Secured preferences (84.7±14.3), Understanding about medications (75.7±13.7) and Care plan (64.5±13.2). Female patients had a higher average in the understanding about medications factor. Whites and residents in the urban area better evaluated the Care plan factor. The highest mean was observed for the Secured preferences factor (84.7±14.3) and the lowest for the Care plan factor (64.5±13.2). In all factors, significant differences were found in the variables (surgical patient, carrying clinical artifacts and not being hospitalized for COVID-19). Patients hospitalized for up to five days showed statistical difference in Preparation for self-management and Understanding about medications factors. In patients who were not readmitted within 30 days of discharge, Preparation for self-management was better. The better the Preparation for self-management, the lower the 30-day readmission rates.CONCLUSIONin patients living with chronic diseases, sociodemographic and clinical variables are associated with the transition of care. Patients who better evaluated preparation for self-management had fewer readmissions within 30 days. (1) Brazilian study that evaluated the transition of care of patients with CNCDs. (2) Women had a higher average in the understanding about medications factor. (3) Whites and residents in the urban area better evaluated the care plan. (4) Better preparation for self-management reduces length of stay and readmissions. (5) Better preparation for understanding about medications reduces hospitalization time.
The EUMETSAT Polar System Klaes, K. Dieter; Ackermann, Jörg; Anderson, Craig ...
Bulletin of the American Meteorological Society,
06/2021, Letnik:
102, Številka:
6
Journal Article
Recenzirano
Odprti dostop
After successful launch in November 2018 and successful commissioning of Metop-C, all three satellites of the EUMETSAT Polar System (EPS) are in orbit together and operational. EPS is part of the ...Initial Joint Polar System (IJPS) with the United States (NOAA) and provides the service in the midmorning orbit. The Metop satellites carry a mission payload of sounding and imaging instruments, which allow provision of support to operational meteorology and climate monitoring, which are the main mission objectives for EPS. Applications include numerical weather prediction, atmospheric composition monitoring, and marine meteorology. Climate monitoring is supported through the generation of long time series through the program duration of 20+ years. The payload was developed and contributed by partners, including NOAA, CNES, and ESA. EUMETSAT and ESA developed the space segment in cooperation. The system has proven its value since the first satellite Metop-A, with enhanced products at high reliability for atmospheric sounding, delivered a very strong positive impact on NWP and results beyond expectations for atmospheric composition and chemistry applications. Having multiple satellites in orbit—now three—has enabled enhanced and additional products with increased impact, like atmospheric motion vector products at latitudes not accessible to geostationary observations or increased probability of radio occultations and hence atmospheric soundings with the Global Navigation Satellite System (GNSS) Radio-Occultation Atmospheric Sounder (GRAS) instruments. The paper gives an overview of the system and the embarked payload and discusses the benefits of generated products for applications and services. The conclusions point to the follow-on system, currently under development and assuring continuity for another 20+ years.
Celotno besedilo
Dostopno za:
BFBNIB, DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
evaluate the transition of care from the perspective of people living with chronic diseases and identify its relation with clinical and sociodemographic characteristics.
cross-sectional study with ...487 patients who were discharged from a hospital. Clinical and sociodemographic characterization instruments were used, as well as the Care Transitions Measure-15, which measures Preparation for self-management, Secured preferences, Understanding about medications and Care plan factors. Descriptive and inferential statistical analysis.
the transition of care was satisfactory (76.8±10.4). Average of the factors: Preparation for self-management (82.2±10.8), Secured preferences (84.7±14.3), Understanding about medications (75.7±13.7) and Care plan (64.5±13.2). Female patients had a higher average in the understanding about medications factor. Whites and residents in the urban area better evaluated the Care plan factor. The highest mean was observed for the Secured preferences factor (84.7±14.3) and the lowest for the Care plan factor (64.5±13.2). In all factors, significant differences were found in the variables (surgical patient, carrying clinical artifacts and not being hospitalized for COVID-19). Patients hospitalized for up to five days showed statistical difference in Preparation for self-management and Understanding about medications factors. In patients who were not readmitted within 30 days of discharge, Preparation for self-management was better. The better the Preparation for self-management, the lower the 30-day readmission rates.
in patients living with chronic diseases, sociodemographic and clinical variables are associated with the transition of care. Patients who better evaluated preparation for self-management had fewer readmissions within 30 days. (1) Brazilian study that evaluated the transition of care of patients with CNCDs. (2) Women had a higher average in the understanding about medications factor. (3) Whites and residents in the urban area better evaluated the care plan. (4) Better preparation for self-management reduces length of stay and readmissions. (5) Better preparation for understanding about medications reduces hospitalization time.
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