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Introduction of software tools for epidemiological surveillance in infection control in Colombia

INTRODUCTION: Healthcare-Associated Infections (HAI) are a challenge for patient safety in the hospitals. Infection control committees (ICC) should follow CDC definitions when monitoring HAI. The handmade method of epidemiological surveillance (ES) may affect the sensitivity and specificity of the m...

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Detalles Bibliográficos
Autores principales: Hernández-Gómez, Cristhian, Motoa, Gabriel, Vallejo, Marta, Blanco, Víctor M, Correa, Adriana, de la Cadena, Elsa, Villegas, María Virginia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Universidad del Valle 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4536816/
https://www.ncbi.nlm.nih.gov/pubmed/26309340
Descripción
Sumario:INTRODUCTION: Healthcare-Associated Infections (HAI) are a challenge for patient safety in the hospitals. Infection control committees (ICC) should follow CDC definitions when monitoring HAI. The handmade method of epidemiological surveillance (ES) may affect the sensitivity and specificity of the monitoring system, while electronic surveillance can improve the performance, quality and traceability of recorded information. OBJECTIVE: To assess the implementation of a strategy for electronic surveillance of HAI, Bacterial Resistance and Antimicrobial Consumption by the ICC of 23 high-complexity clinics and hospitals in Colombia, during the period 2012-2013. METHODS: An observational study evaluating the introduction of electronic tools in the ICC was performed; we evaluated the structure and operation of the ICC, the degree of incorporation of the software HAI Solutions and the adherence to record the required information. RESULTS: Thirty-eight percent of hospitals (8/23) had active surveillance strategies with standard criteria of the CDC, and 87% of institutions adhered to the module of identification of cases using the HAI Solutions software. In contrast, compliance with the diligence of the risk factors for device-associated HAIs was 33%. CONCLUSIONS: The introduction of ES could achieve greater adherence to a model of active surveillance, standardized and prospective, helping to improve the validity and quality of the recorded information.