Schumacher Lisa D, Jäger Levy, Meier Rahel, Rachamin Yael, Senn Oliver, Rosemann Thomas, Markun Stefan
Institute of Primary Care, University and University Hospital Zurich, 8091 Zurich, Switzerland.
J Clin Med. 2020 Jun 8;9(6):1787. doi: 10.3390/jcm9061787.
Laboratory tests are frequently ordered by general practitioners (GPs), but little is known about time trends and between-GP variation of their use. In this retrospective longitudinal study, we analyzed over six million consultations by Swiss GPs during the decade 2009-2018. For 15 commonly used test types, we defined specific laboratory testing rates (sLTR) as the percentage of consultations involving corresponding laboratory testing requests. Patient age- and sex-adjusted time trends of sLTR were modeled with mixed-effect logistic regression accounting for clustering of patients within GPs. We quantified between-GP variation by means of intraclass correlation coefficients (ICC). Nine out of the 15 laboratory test types considered showed significant temporal increases, most eminently vitamin D (ten-year odds ratio (OR) 1.88, 95% confidence interval (CI) 1.71-2.06) and glycated hemoglobin (ten-year OR 1.87, 95% CI 1.82-1.92). Test types both subject to substantial increase and high between-GP variation of sLTR were vitamin D (ICC 0.075), glycated hemoglobin (ICC 0.101), C-reactive protein (ICC 0.202), and vitamin B12 (ICC 0.166). Increasing testing frequencies and large between-GP variation of specific test type use pointed at inconsistencies of medical practice and potential overuse.
全科医生(GP)经常会安排实验室检查,但对于其使用的时间趋势以及全科医生之间的差异却知之甚少。在这项回顾性纵向研究中,我们分析了瑞士全科医生在2009年至2018年这十年间的六百多万例会诊。对于15种常用的检查类型,我们将特定实验室检查率(sLTR)定义为涉及相应实验室检查请求的会诊百分比。采用混合效应逻辑回归模型对患者年龄和性别调整后的sLTR时间趋势进行建模,该模型考虑了全科医生内部患者的聚类情况。我们通过组内相关系数(ICC)对全科医生之间的差异进行了量化。所考虑的15种实验室检查类型中有9种显示出显著的时间增加趋势,最明显的是维生素D(十年优势比(OR)为1.88,95%置信区间(CI)为1.71 - 2.06)和糖化血红蛋白(十年OR为1.87,95%CI为1.82 - 1.92)。sLTR既出现大幅增加又存在较高全科医生之间差异的检查类型有维生素D(ICC为0.075)、糖化血红蛋白(ICC为0.101)、C反应蛋白(ICC为0.202)和维生素B12(ICC为0.166)。特定检查类型使用频率的增加以及全科医生之间的巨大差异表明医疗实践存在不一致性以及可能存在过度使用的情况。