Otto Simon J G, Pollock Colleen M, Relf-Eckstein Jo-Anne, McLeod Lianne, Waldner Cheryl L
HEAT-AMR (Human-Environment-Animal Transdisciplinary Antimicrobial Resistance) Research Group, School of Public Health, University of Alberta, Edmonton, AB T6G 1C9, Canada.
Healthy Environments Thematic Area Lead, School of Public Health, University of Alberta, Edmonton, AB T6G 1C9, Canada.
Antibiotics (Basel). 2024 Sep 21;13(9):903. doi: 10.3390/antibiotics13090903.
BACKGROUND/OBJECTIVES: The implementation of information quality value stream maps (IQ-VSMs) in food animal production systems can increase our understanding of the opportunities and challenges when using laboratory testing for antimicrobial resistance (AMR) to support antimicrobial stewardship (AMS). Our objectives were to (1) explore the implementation of information quality value stream mapping as a continuous improvement tool to inform decisions for bovine respiratory disease (BRD) management and AMS and (2) apply the information quality dimensions to identified Kaizen opportunities for the integration of laboratory data into BRD management systems to assess the appropriateness of BRD treatment plans in western Canadian feedlot production.
A 'Current State' IQ-VSM outlined the processes, available information, information processing steps, and control decisions contributing to BRD management and treatment in commercial western Canadian feedlots, recognizing that laboratory BRD pathogens and AMR data are typically not part of BRD management.
The 'Future State' IQ-VSM incorporated Kaizen opportunities for improvement, including (i) the strategic collection of respiratory samples from representative samples of calves for laboratory analysis, regardless of clinical BRD status, (ii) compilation of laboratory data at the pen and feedlot levels, and (iii) analysis of pen- and feedlot-level laboratory data to inform the veterinarian's assessment of the appropriateness of current BRD treatment plans.
The IQ-VSMs provided a valuable framework to visualize the integration of BRD pathogen and AMR laboratory data to support AMS and address any potential future testing requirements.
背景/目标：在食用动物生产系统中实施信息质量价值流图（IQ-VSM），可以增进我们对利用实验室检测抗菌药物耐药性（AMR）以支持抗菌药物管理（AMS）时所面临的机遇和挑战的理解。我们的目标是：（1）探索将信息质量价值流映射作为一种持续改进工具，为牛呼吸道疾病（BRD）管理和AMS决策提供信息；（2）将信息质量维度应用于已识别的改善机会，以便将实验室数据整合到BRD管理系统中，评估加拿大西部饲养场生产中BRD治疗计划的适宜性。
一份“当前状态”的IQ-VSM概述了加拿大西部商业饲养场中与BRD管理和治疗相关的流程、可用信息、信息处理步骤以及控制决策，同时认识到实验室BRD病原体和AMR数据通常并非BRD管理的一部分。
“未来状态”的IQ-VSM纳入了改善的机会，包括：（i）从犊牛代表性样本中战略性地采集呼吸道样本用于实验室分析，无论其临床BRD状态如何；（ii）在围栏和饲养场层面汇编实验室数据；（iii）分析围栏和饲养场层面的实验室数据，为兽医评估当前BRD治疗计划的适宜性提供信息。
IQ-VSM提供了一个有价值的框架，用于可视化BRD病原体和AMR实验室数据的整合，以支持AMS并满足未来任何潜在的检测要求。
