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Prevalence and incidence of surgical site infections in the European Union/European Economic Area: how do these measures relate?
Meijs, A P; Prantner, I; Kärki, T; Ferreira, J A; Kinross, P; Presterl, E; Märtin, P; Lyytikäinen, O; Hansen, S; Szonyi, A; Ricchizzi, E; Valinteliene, R; Zerafa, S; de Greeff, S C; Berg, T C; Fernandes, P A; Stefkovicová, M; Asensio, A; Lamagni, T; Sartaj, M; Reilly, J; Harrison, W; Suetens, C; Koek, M B G.
Afiliación
  • Meijs AP; Centre for Infectious Diseases, Epidemiology and Surveillance, National Institute for Public Health and the Environment, Bilthoven, The Netherlands. Electronic address: anouk.meijs@rivm.nl.
  • Prantner I; National Center for Epidemiology, Department of Hospital Epidemiology and Hygiene, Budapest, Hungary; National Public Health Center, Budapest, Hungary.
  • Kärki T; European Centre for Disease Prevention and Control, Solna, Sweden.
  • Ferreira JA; Department of Statistics, Informatics and Modelling, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  • Kinross P; European Centre for Disease Prevention and Control, Solna, Sweden.
  • Presterl E; Medical University Vienna, Vienna, Austria.
  • Märtin P; West Tallinn Central Hospital, Health Board, Tallinn, Estonia.
  • Lyytikäinen O; National Institute for Health and Welfare, Helsinki, Finland.
  • Hansen S; Institute of Hygiene and Environmental Health Charité, University Medicine Berlin, Berlin, Germany.
  • Szonyi A; National Center for Epidemiology, Department of Hospital Epidemiology and Hygiene, Budapest, Hungary; National Public Health Center, Budapest, Hungary.
  • Ricchizzi E; Agenzia sanitaria e sociale regionale - Regione Emilia Romagna, Bologna, Italy.
  • Valinteliene R; Institute of Hygiene, Vilnius, Lithuania.
  • Zerafa S; Mater Dei Hospital, Msida, Malta.
  • de Greeff SC; Centre for Infectious Diseases, Epidemiology and Surveillance, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  • Berg TC; Norwegian Institute of Public Health, Oslo, Norway.
  • Fernandes PA; Direção-Geral da Saúde (DGS), Lisbon, Portugal.
  • Stefkovicová M; Alexander Dubcek University in Trencín and Regional Public Health Authority in Trencín, Slovakia.
  • Asensio A; Hospital Universitario Puerta de Hierro-Majadahonda, Madrid, Spain.
  • Lamagni T; Public Health England, London, England, UK.
  • Sartaj M; HSC Public Health Agency, Belfast, Northern Ireland, UK.
  • Reilly J; Health Protection Scotland National Services Scotland and Glasgow Caledonian University, Glasgow, Scotland, UK.
  • Harrison W; Public Health Wales, Cardiff, Wales, UK.
  • Suetens C; European Centre for Disease Prevention and Control, Solna, Sweden.
  • Koek MBG; Centre for Infectious Diseases, Epidemiology and Surveillance, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
J Hosp Infect ; 103(4): 404-411, 2019 Dec.
Article en En | MEDLINE | ID: mdl-31265856
BACKGROUND: In 2011-2012, the European Centre for Disease Prevention and Control (ECDC) initiated the first European point prevalence survey (PPS) of healthcare-associated infections (HCAIs) in addition to targeted surveillance of the incidence of specific types of HCAI such as surgical site infections (SSIs). AIM: To investigate whether national and multi-country SSI incidence can be estimated from ECDC PPS data. METHODS: In all, 159 hospitals were included from 15 countries that participated in both ECDC surveillance modules, aligning surgical procedures in the incidence surveillance to corresponding specialties from the PPS. National daily prevalence of SSIs was simulated from the incidence surveillance data, the Rhame and Sudderth (R&S) formula was used to estimate national and multi-country SSI incidence from the PPS data, and national incidence per specialty was predicted using a linear model including data from the PPS. FINDINGS: The simulation of daily SSI prevalence from incidence surveillance of SSIs showed that prevalence fluctuated randomly depending on the day of measurement. The correlation between the national aggregated incidence estimated with R&S formula and observed SSI incidence was low (correlation coefficient = 0.24), but specialty-specific incidence results were more reliable, especially when the number of included patients was large (correlation coefficients ranging from 0.40 to 1.00). The linear prediction model including PPS data had low proportion of explained variance (0.40). CONCLUSION: Due to a lack of accuracy, use of PPS data to estimate SSI incidence is recommended only in situations where incidence surveillance of SSIs is not performed, and where sufficiently large samples of PPS data are available.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infección de la Herida Quirúrgica / Infección Hospitalaria Tipo de estudio: Health_economic_evaluation / Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: J Hosp Infect Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infección de la Herida Quirúrgica / Infección Hospitalaria Tipo de estudio: Health_economic_evaluation / Incidence_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: J Hosp Infect Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido