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Cardiol Young ; 31(2): 241-247, 2021 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-33168130

RESUMO

OBJECTIVE: We aimed to apply systems engineering principles to address hospital-acquired infections in the paediatric intensive care setting. DESIGN: Mixed method approach involving four steps: perform time-motion study of cardiac intensive care unit (CICU) care processes, establish a meaningful schema to classify observations, design a web-based system to manage and analyse data, and design a prototypical computer-based training system to assist with hygiene compliance. SETTING: Paediatric CICU at the Children's Healthcare of Atlanta. PATIENTS: Paediatric patients undergoing congenital heart surgery. INTERVENTIONS: Extensive time-motion study of CICU care processes. MEASUREMENTS: Non-compliances were recorded for each care process observed during the time-motion study. RESULTS: Guided by our observations, we introduced a novel categorisation schema with action types, observation categories, severity classes, procedure classifications, and personnel categories that offer a systematic and efficient mechanism for reporting and classifying non-compliance and violations. Utilising these categories, a web-based database management system was designed that allows observers to input their data. This web analytic tool offers easy summarisation, data analysis, and visualisation of findings. A computer-based training system with modules to educate visitors in hospital-acquired infections hygiene was also created. CONCLUSION: Our study offers a checklist of non-compliance situations and potential development of a proactive surveillance system of awareness of infection-prone situations. Working with quality improvement experts and stakeholders, recommendations and actionable practice will be synthesised for implementation in clinical settings. Careful design of the implementation protocol is needed to measure and quantify the potential improvements in outcomes.


Assuntos
Unidades de Terapia Intensiva , Melhoria de Qualidade , Criança , Hospitais , Humanos , Projetos de Pesquisa , Análise de Sistemas
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