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Veterinary decision making in relation to metritis - a qualitative approach to understand the background for variation and bias in veterinary medical records

机译:关于子宫炎的兽医决策-一种了解兽医病历变化和偏倚的背景的定性方法

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摘要

BackgroundResults of analyses based on veterinary records of animal disease may be prone to variation and bias, because data collection for these registers relies on different observers in different settings as well as different treatment criteria. Understanding the human influence on data collection and the decisions related to this process may help veterinary and agricultural scientists motivate observers (veterinarians and farmers) to work more systematically, which may improve data quality. This study investigates qualitative relations between two types of records: 1) 'diagnostic data' as recordings of metritis scores and 2) 'intervention data' as recordings of medical treatment for metritis and the potential influence on quality of the data.
机译:背景基于动物疾病的兽医记录进行的分析结果可能容易出现偏差和偏差,因为这些寄存器的数据收集依赖于不同环境和不同治疗标准的不同观察者。了解人类对数据收集的影响以及与此过程有关的决策,可能有助于兽医和农业科学家激励观察员(兽医和农民)更加系统地开展工作,从而可以改善数据质量。这项研究调查了两种类型记录之间的定性关系:1)“诊断数据”记录为子宫炎评分和2)“干预数据”记录为子宫炎的药物治疗以及对数据质量的潜在影响。

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