尿路感染监测的经济学

Nicholas Graves PhD
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引用次数: 1

摘要

从经济学的角度来看,对尿路感染(UTI)的监测是否值得的问题取决于我们所付出的努力和成本所带来的回报。人们花多长时间来做这件事,数据有多准确,因此降低了多少费率,节省了多少成本,以及产生了什么健康益处,这些信息都会影响决策。这可能是因为传统的监控需要一些时间,而且成本很高。因此,可能会寻求成本更低的替代方案。了解有效性是棘手的,但可以将基线数据与实施后的数据进行比较,以显示正在发生的情况。安东尼·哈里斯(Anthony Harris)写了一篇关于做出这些判断的方法的很好的综述。成本节约取决于所释放的工作日以及它们的价值。会计成本并不能告诉我们这些天数在其他用途上的价值,但医院的首席执行官可能会透露他们愿意为腾出的天数支付多少费用。由于基于活动的融资,该值可能为零。健康益处很难评估,但如果避免发展为更严重的继发感染,它们可能会很大。利用现有数据预测成本变化和尿路感染病例数变化是合理的。最好谨慎地对待这些假设,这样决策者就会更认真地对待这项工作。利用有偏见的研究对医院节省的大量且不可信的成本做出不切实际的估计是一种可疑的策略。降低UTI费率也可能有自己的资本,因为HAIs现在是医院质量的晴雨表,这可能是说服预算持有人为项目提供资金的一种更简单的方法。另一种观点是,现在的预防将使抗生素的有效性保持到未来,但要获得数据来证明这一点非常困难。革兰氏阴性耐药性可能意味着尿路感染的治疗变得更加困难和昂贵。这可能是因为决策者不太重视数据,而是根据他们之前的观点和直觉来决定该做什么。如果这是真的,那么游说改变他们对更多感染控制的偏好可能会起作用。如果制定了尿路感染监测的经济理由,那么重要的是要说明为此放弃了什么。选择投资一个项目的机会成本是对决策价值的真正考验。预防感染的资源有限,应明智地加以投资;控制感染的徒劳努力代价高昂,应避免。
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The economics of UTI surveillance
From an economics perspective, the question of whether the surveillance of urinary tract infection (UTI) is worthwhile depends on the returns we enjoy for the effort and cost required. Information on how long people spend doing it, how accurate the data are, how much rates are reduced as a consequence, how many costs are saved and what health benefits arise all play into a decision. It might be that traditional surveillance takes some time to undertake and is quite costly. So lower cost alternatives might be sought. Understanding the effectiveness is tricky but baseline data could be compared with post-implementation data to showwhat is happening. Anthony Harris wrote a good review of the methods for making these judgments. The cost savings depend on the bed days released and then how they are valued. Accounting costs do not tell us what the bed days are worth in alternate uses, but the hospital CEO might reveal what they arewilling to pay for the bed days freed up. Because of activity based funding this value might be zero. The health benefits are hard to value, but if progression to more serious secondary infection is avoided they could be large. It is reasonable to use existing data to predict changes to costs and changes to the number of cases of UTI. Much better to be prudent with the assumptions and then decision makers will take the work more seriously. Using biased studies to make unrealistic estimates of large and non-believable cost savings to the hospital is a dubious strategy. Reduced UTI rates may also have capital on their own as HAIs are now a barometer of quality for hospitals and this might be a simpler way of convincing budget holders to fund a program.Another argument is that prevention nowwill preserve antibiotic effectiveness into the future, but getting data to show this is very hard. Gram-negative resistance may mean that UTIs become more difficult and more expensive to treat. It could be that decision makers don’t put much weight on data, insteadusing their prior opinion andgut instinct to decide on what to do. If this is true then lobbying to change their preferences towards more infection control might work. If an economic rationale for UTI surveillance is developed then it is important to show what is foregone to do it. The opportunity cost of choosing to invest in a program is the real test of the value of the decision. There aremeagre resources for infection prevention and they should be invested wisely, wild goose chases for infection control are costly and should be avoided.
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