Donaldson Gary
Department of Anesthesiology, Pain Research Center, University of Utah, Salt Lake City, UT, USA.
Qual Life Res. 2008 Dec;17(10):1303-13. doi: 10.1007/s11136-008-9408-4. Epub 2008 Oct 25.
Coherent clinical care depends on answering a basic question: is a patient getting worse, getting better, or staying about the same? This can prove surprisingly difficult to answer confidently. Patient-reported outcomes (PROs) could potentially help by providing quantifiable evidence. But quantifiable evidence is not necessarily good evidence, as this article details.
The fundamental mandate of measurement requires that errors in making an assessment be smaller than the distinctions to be measured. This mandate implies that numerical observations of patients may be poor measurements.
Individual assessments require high measurement precision and reliability. Group-averaged comparisons cancel out measurement error, but individual PROs do not. Individual PROs generate numbers, to be sure, but the numbers may fall short of what we should demand of measurements. When typical errors of measurement are large, it is not possible to answer confidently even the modest question of whether a patient is getting worse or getting better.
This article explains some theory behind the mandate of measurement, provides several examples based on clinical research, and suggests strategies to measure and monitor individual patient outcomes more precisely. These include more frequent low-burden assessments, more realistic confidence levels, and strengthened measurement that integrates population data.
连贯的临床护理取决于回答一个基本问题:患者的病情是在恶化、好转还是大致保持不变?事实证明,要自信地回答这个问题可能非常困难。患者报告的结局(PROs)可能通过提供可量化的证据来提供帮助。但正如本文所详述的,可量化的证据不一定是好证据。
测量的基本要求是评估中的误差要小于待测量的差异。这一要求意味着对患者的数值观察可能是不准确的测量。
个体评估需要高测量精度和可靠性。组平均比较可以消除测量误差,但个体PROs则不能。个体PROs确实会生成数字,但这些数字可能达不到我们对测量的要求。当典型测量误差很大时,甚至连患者病情是在恶化还是好转这个适度的问题都无法自信地回答。
本文解释了测量要求背后的一些理论,提供了基于临床研究的几个例子,并提出了更精确地测量和监测个体患者结局的策略。这些策略包括更频繁的低负担评估、更现实的置信水平以及整合人群数据的强化测量。