Shiels C, Hutchinson A, Eccles M, Gardiner E, Smoljanovic L
Department of Public Health Medicine, University of Hull, UK.
J Eval Clin Pract. 1996 Nov;2(4):265-71. doi: 10.1111/j.1365-2753.1996.tb00056.x.
Severity-of-illness measurement is considered to be an important factor in the risk adjustment of medical outcomes. However, for those measures that involve a high level of clinical judgment, strategies have to be developed to maximize the consistency of rating severity that can be implemented, especially when rating is based upon medical record review. A group of 25 clinicians were sent the same set of 14 patient records, and requested to use the Duke University Severity of Illness (DUSOI) checklist to rate the severity of patients' illness. Written instructions for the use of this instrument were provided. A short educational intervention was than made by the research team, and the clinicians were sent the same set of records to be rated again. Any improvement in the accuracy and reliability of severity assessment over the two ratings was then studied. The educational intervention resulted in identification of fewer irrelevant health problems. However, it had little impact upon the reliability of severity scoring itself, as measured by the intraclass correlation coefficient. Measuring severity of illness is a conceptually complex procedure. However, given its role in outcome interpretation, it may be worth pursuing strategies aimed at maximizing consistency of clinician rating. There are a number of options, including improved written instructions and more intensive training, that could be implemented.
疾病严重程度测量被认为是医疗结果风险调整中的一个重要因素。然而,对于那些涉及高水平临床判断的测量方法,必须制定策略以最大限度地提高可实施的严重程度评级的一致性,尤其是在基于病历审查进行评级时。一组25名临床医生收到了相同的14份患者病历,并被要求使用杜克大学疾病严重程度(DUSOI)检查表对患者的疾病严重程度进行评级。提供了该工具的使用书面说明。然后研究团队进行了简短的教育干预,之后再次向临床医生发送相同的病历集让他们进行评级。接着研究了两次评级中疾病严重程度评估的准确性和可靠性是否有任何提高。教育干预使得识别出的无关健康问题减少。然而,通过组内相关系数衡量,它对严重程度评分本身的可靠性影响不大。测量疾病严重程度是一个概念上复杂的过程。然而,鉴于其在结果解释中的作用,可能值得采取旨在最大限度提高临床医生评级一致性的策略。有许多选项可供实施,包括改进书面说明和更强化的培训。