Áurea Morillo-García1, Josefa M Aldana-Espinal2, Antonio Olry de Labry-Lima3, Raquel Valencia-Martín4, Reyes López-Márquez5, Mercedes Loscertales-Abril6, Manuel Conde-Herrera4. 1. Servicio de Medicina Preventiva y Salud Pública, Hospital Universitario Virgen del Rocío, Sevilla, España. Electronic address: aurea.morillo@gmail.com. 2. Planes Integrales de Salud, Dirección General de Asistencia Sanitaria y Resultados en Salud, Servicio Andaluz de Salud, Sevillla, España. 3. Escuela Andaluza de Salud Pública, Granada, España; CIBER de Epidemiología y Salud Pública (CIBERESP), España. 4. Servicio de Medicina Preventiva y Salud Pública, Hospital Universitario Virgen del Rocío, Sevilla, España. 5. Servicio de Medicina Preventiva y Salud Pública, Hospital Infanta Elena, Huelva, España. 6. Unidad de Cuidados Críticos y Urgencias Pediátricas, Hospital Universitario Virgen del Rocío, Sevilla, España.
Abstract
OBJECTIVE: To estimate the additional cost attributable to nosocomial infection (NI) in a pediatric intensive care unit (PICU) and related factors. METHODS: A prospective cohort study was conducted in all children admitted to the PICU of a tertiary-care pediatric hospital between 2008 and 2009. Descriptive and bivariate analyses were conducted of total direct costs due to PICU stay and medical procedures in patients with and without NI. A log-linear regression model was performed to determine the factors associated with higher total cost. RESULTS: A total of 443 patients were studied and the prevalence of NI was 11.3%. The difference in the median total cost was €30,791.4 per patient between groups with and without NI. The median cost of PICU length of stay in patients with NI was almost eight times higher than the median cost of patients without NI. In patients with NI, the highest costs related to medical procedures were associated with antibiotics, enteral and parenteral feeding, and imaging tests. In the multivariate model, the factors associated with higher cost were infection, the performance of cardiovascular surgery, urgent admission, a higher pediatric risk mortality score, and the presence of immunosuppression. By contrast, older children and those with surgical admission generated lower cost. CONCLUSIONS: NI was associated with an increase in total cost, which implies that the prevention of these infections through specific interventions could be cost-effective and would help to increase the safety of healthcare systems.
OBJECTIVE: To estimate the additional cost attributable to nosocomial infection (NI) in a pediatric intensive care unit (PICU) and related factors. METHODS: A prospective cohort study was conducted in all children admitted to the PICU of a tertiary-care pediatric hospital between 2008 and 2009. Descriptive and bivariate analyses were conducted of total direct costs due to PICU stay and medical procedures in patients with and without NI. A log-linear regression model was performed to determine the factors associated with higher total cost. RESULTS: A total of 443 patients were studied and the prevalence of NI was 11.3%. The difference in the median total cost was €30,791.4 per patient between groups with and without NI. The median cost of PICU length of stay in patients with NI was almost eight times higher than the median cost of patients without NI. In patients with NI, the highest costs related to medical procedures were associated with antibiotics, enteral and parenteral feeding, and imaging tests. In the multivariate model, the factors associated with higher cost were infection, the performance of cardiovascular surgery, urgent admission, a higher pediatric risk mortality score, and the presence of immunosuppression. By contrast, older children and those with surgical admission generated lower cost. CONCLUSIONS: NI was associated with an increase in total cost, which implies that the prevention of these infections through specific interventions could be cost-effective and would help to increase the safety of healthcare systems.
Authors: Róbert Pónusz; Dóra Endrei; Dalma Kovács; Evelin Pónusz; Bence Kis Kelemen; Diána Elmer; Noémi Németh; András Vereczkei; Imre Boncz Journal: BMC Health Serv Res Date: 2022-06-20 Impact factor: 2.908
Authors: Esther van Puffelen; Suzanne Polinder; Ilse Vanhorebeek; Pieter Jozef Wouters; Niek Bossche; Guido Peers; Sören Verstraete; Koen Felix Maria Joosten; Greet Van den Berghe; Sascha Cornelis Antonius Theodorus Verbruggen; Dieter Mesotten Journal: Crit Care Date: 2018-01-15 Impact factor: 9.097