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New Strategy to Monitor and Assess Laboratory Biosafety Programs

OBJECTIVE: To develop a toolset to monitor and assess laboratory biosafety program performance and cost INTRODUCTION: Laboratory biosafety – a component of biosecurity – has specific elements that together, comprise a facility’s capability to both protect employees and the surrounding public and env...

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Detalles Bibliográficos
Autores principales: Meeks, Heather N., Haile, Betiel H., Erondu, Ngozi A., Ferland, Lisa, Park, Meeyoung, McNabb, Scott J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692815/
Descripción
Sumario:OBJECTIVE: To develop a toolset to monitor and assess laboratory biosafety program performance and cost INTRODUCTION: Laboratory biosafety – a component of biosecurity – has specific elements that together, comprise a facility’s capability to both protect employees and the surrounding public and environment. Measuring these elements permits assessment and the costing of program-specific safety interventions. In the absence of a strategy and toolset, we developed a conceptual framework and toolset that monitors and assesses laboratory biosafety programs (LBPs) and provides useful information (e.g., return on investment [ROI]) for decision makers. METHODS: We conducted academic and open source literature reviews of LBPs and affiliated organizations laboratory manuals to identify objectives, goals, and indicators. These findings were aligned to laboratory biosafety-specific inputs, activities, outputs, and outcomes to create a strategic, conceptual framework (logic models) used to assess performance and measure the cost and ROI. Indicators were identified in existing literature or developed and mapped to the logic model elements. RESULTS: Six logic models were created: laboratory biosafety, biosurety, procedural, biocontainment, information security, and training. The laboratory biosafety logic model served as the overall framework for the remaining five sub-logic models. We also established a database containing 161 indicators mapped to each of the logic model elements. CONCLUSIONS: We developed a strategic framework that monitors and evaluates LBPs. While evaluation of cost-impacts in LBPs provides business intelligence for resource planning, this integrated approach also provides information about gaps. We plan to pilot this toolset and refine indicators using principal component analysis.