Krogh M A, Enevoldsen C
Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 2, DK-1870 Frederiksberg C, Denmark.
Department of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 2, DK-1870 Frederiksberg C, Denmark.
J Dairy Sci. 2014;97(1):552-61. doi: 10.3168/jds.2012-5580. Epub 2013 Nov 13.
Evaluating the effects of all interventions in a dairy herd, including the effects of various herd health management programs (HHMP), is highly relevant. A traditional randomized controlled trial is the gold standard but is likely practically impossible or prohibitively expensive to use for a general evaluation of a HHMP. Generalizability may also be poor because of the dynamics of the production contexts. In this study, we demonstrate an approach for evaluating the effects of an HHMP in the field, specifying an intervention theory for an ongoing HHMP in the context of the Danish dairy industry. As an example, we suggest one coherent analytical approach for studying the possible effects on milk production of systematic postpartum examinations of vaginal discharge, which is supposed to improve detection and treatment of metritis or endometritis. This routine is one component of the HHMP. The data consisted of 121 herds and 76,953 lactations over a 15-yr period. For parity group 1, the negative effects of metritis (despite treatment) on 305-d milk production after a normal calving were reduced by 116 kg of energy-corrected milk after enrollment in the HHMP. For parity group 2 and parity group >2, enrollment in the HHMP resulted in a 129-kg and an 80-kg energy-corrected milk yield increase in milk production, respectively. The results indicate that effects of the HHMP existed, which were mediated through improved metritis detection. This study demonstrates the importance of a clear-cut intervention theory, although even with a theory, the research question can be too herd and context specific. In such a case, a within-herd randomized controlled trial study design seems to be the only way to achieve a valid result for a given herd, and acquiring valid results from an observational multi-herd study will be very difficult.
评估奶牛场中所有干预措施的效果,包括各种畜群健康管理计划(HHMP)的效果,具有高度的相关性。传统的随机对照试验是金标准,但用于HHMP的一般评估在实际操作中可能是不可能的,或者成本过高。由于生产环境的动态变化,其普遍性也可能较差。在本研究中,我们展示了一种在实地评估HHMP效果的方法,明确了丹麦奶牛业背景下正在进行的HHMP的干预理论。例如,我们提出了一种连贯的分析方法,用于研究阴道分泌物系统产后检查对牛奶产量可能产生的影响,该检查旨在改善子宫炎或子宫内膜炎的检测和治疗。这种常规操作是HHMP的一个组成部分。数据包括15年期间的121个畜群和76953次泌乳。对于第1胎次组,在纳入HHMP后,子宫炎(尽管进行了治疗)对正常产犊后305天牛奶产量的负面影响减少了116千克能量校正乳。对于第2胎次组和大于第2胎次组,纳入HHMP分别使牛奶产量增加了129千克和80千克能量校正乳。结果表明,HHMP的效果是存在的,这是通过改善子宫炎检测来介导的。本研究证明了明确的干预理论的重要性,尽管即使有了理论,研究问题可能仍然过于针对特定畜群和环境。在这种情况下,畜群内随机对照试验研究设计似乎是为特定畜群获得有效结果的唯一途径,而从观察性多畜群研究中获得有效结果将非常困难。