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1.
Dtsch Arztebl Int ; 121(9): 277-283, 2024 May 03.
Article in English | MEDLINE | ID: mdl-38471129

ABSTRACT

BACKGROUND: A national point prevalence survey (PPS) of healthcare-associated infections (HAI) and antibiotic use (AU) was carried out in Germany in 2022 in the framework of the European PPS conducted by the European Centre for Disease Prevention and Control (ECDC). The objective was to determine the prevalence of HAI and AU in German hospitals and to compare the obtained values with those of the most recent previous PPS, which was carried out in 2016. METHODS: The German National Reference Center for the Surveillance of Nosocomial Infections was entrusted with the organization of the PPS of 2022. As recommended by the ECDC, each hospital in a representative sample of 50 hospitals was invited to participate, and all other interested hospitals in Germany were also able to participate if desired. The data were collected by specially trained hospital staff in May, June, and July 2022. The definitions and methods put forth by the ECDC were used. RESULTS: Data from 66 586 patients in 252 hospitals were included. The prevalence of HAI in all participating hospitals was 4.9%, and that of AU was 26.9%. The HAI and AU prevalences were essentially unchanged in comparison to 2016. The most common types of HAI were surgical site infection (23.5%), lower respiratory tract infection (21.6%), and urinary tract infection (19.0%). CONCLUSION: HAI were just as frequent in 2022 as in 2016, affecting approximately one in twenty hospitalized patients on any given day.


Subject(s)
Anti-Bacterial Agents , Cross Infection , Humans , Germany/epidemiology , Cross Infection/epidemiology , Anti-Bacterial Agents/therapeutic use , Female , Male , Prevalence , Middle Aged , Adult , Aged , Adolescent , Hospitals/statistics & numerical data , Child , Young Adult , Aged, 80 and over , Child, Preschool
2.
Sci Rep ; 13(1): 22498, 2023 12 15.
Article in English | MEDLINE | ID: mdl-38110426

ABSTRACT

During the SARS-CoV-2 pandemic, the German healthcare system faced challenges of efficiently allocating testing resources. To address this, we developed an open-source personalized recommendation system (PRS) called "CovApp". The PRS utilized a questionnaire to estimate the risk of infection, provided personalized recommendations such as testing, self-isolation, or quarantine, and featured QR code data transmission to electronic health records. The PRS served up to 2.5 million monthly users and received 67,000 backlinks from 1800 domains. We clinically evaluated the PRS at the SARS-CoV-2 testing facility at Charité and observed a 21.7% increase in patient throughput per hour and a 22.5% increase in patients per day. Patients using the PRS were twice as likely to belong to the High Risk group eligible for testing (18.6% vs. 8.9%, p < 0.0001), indicating successful compliance with CovApp's recommendations. CovApp served as a digital bridge between the population and medical staff and significantly improved testing efficiency. As an open-source platform, CovApp can be readily customized to address emerging public health crises. Further, given the EHR interface, the app is of great utility for other applications in clinical settings.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , COVID-19/epidemiology , Electronic Health Records , COVID-19 Testing , Delivery of Health Care , Internet
3.
An. pediatr. (2003. Ed. impr.) ; 91(1): 3-12, jul. 2019. graf, mapas, tab
Article in Spanish | IBECS | ID: ibc-186691

ABSTRACT

Antecedentes: Las sepsis son las infecciones nosocomiales más frecuentes en las Unidades de Cuidados Intensivos Neonatales (UCIN), afectando especialmente a los recién nacidos de muy bajo peso al nacer (RNMBP, ≤ 1.500 g). Un sistema de vigilancia epidemiológica puede contribuir a su prevención mediante una evaluación continua de su frecuencia y factores de riesgo asociados. El objetivo de este artículo es describir la implementación del sistema de vigilancia de las sepsis nosocomiales en RNMBP (NeoKissEs) en un grupo de UCIN españolas. Métodos: Estudio de cohorte de RNMBP con < 28 días de edad ingresados en las UCIN participantes. Dos UCIN tradujeron y adaptaron materiales a partir del sistema original alemán NEO-KISS. Durante la implementación, se desarrollaron 8talleres formativos, con participación de 210 profesionales. Se creó un sistema web para la introducción de datos de pacientes y episodios de sepsis, su monitorización, análisis comparativo y retroalimentación a las unidades. En cada UCIN, un neonatólogo fue responsable de la implementación, recogiendo información sobre las dificultades percibidas durante el proceso. Resultados: De 50 unidades que aceptaron participar, 45 utilizaron NeoKissEs durante la fase de implementación, registrando 1.108 episodios de sepsis asociados a catéter vascular en 3.638 neonatos, con una tasa de 18,4 episodios por 1.000 pacientes-día con catéter (IC del 95%: 17,8-19,1). Conclusiones: El sistema de vigilancia epidemiológica NeoKissEs representa una fuente útil de información para la comparación estandarizada de la incidencia de sepsis de las UCIN, evaluar factores de riesgo y facilitar la evaluación del efecto de futuras intervenciones preventivas


Background: Bloodstream infections (BSIs) are the most frequent nosocomial infections in neonatal intensive care units (NICUs), especially in very low birth weight (VLBW) infants (birth weight ≤ 1500 g). An epidemiologic surveillance system may contribute to the prevention of infection by continuous monitoring of its frequency and associated risk factors. The aim of this article was to describe the implementation of the NeoKissEs surveillance system for BSIs in VLBW newborns in a group of Spanish NICUs. Methods: We assessed the clinical cohort consisting of all VLBW newborns aged less than 28 days admitted to the participating units. In the pilot phase, 2NICUs translated and adapted materials from the original German NEO-KISS system. During implementation, 210 health care professionals attended one of 8 educational workshops. A web-based system was created that allows entering data regarding patients and BSI episodes, data monitoring, benchmarking and providing feedback to the units. At each NICU, one neonatologist was responsible for the implementation of the system and reporting the difficulties perceived throughout the process. Results: Out of the 50 units that agreed to participate, 45 successfully started using the surveillance platform during the implementation phase, recording 1108 episodes of catheter-associated BSI (CABSI) in 3638 newborns, and finding an overall rate of CABSI of 18.4 (95% CI, 17.8-19.1) per 1000 catheter days. Conclusions: The NeoKissEs surveillance system constitutes a helpful source of information for the purpose of benchmarking the performance of neonatal units, assessing factors associated with BSI in VLBW infants and measuring the impact of future preventive interventions in NICUs


Subject(s)
Humans , Male , Female , Infant, Newborn , Intensive Care Units, Neonatal/statistics & numerical data , Population Surveillance/methods , Sepsis/epidemiology , Infant, Very Low Birth Weight , Pilot Projects , Risk Factors
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