Akter Nurunnahar, Lyratzopoulos Georgios, Swann Ruth, Rubin Greg, McPhail Sean, Rafiq Meena, Aminu Abodunrin, Zakkak Nadine, Abel Gary
Department of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool, UK.
Department of Health & Community Sciences, University of Exeter Medical School, Exeter, UK.
BMJ Qual Saf. 2025 May 19;34(6):367-376. doi: 10.1136/bmjqs-2024-017264.
Use of investigations can help support the diagnostic process of patients with cancer in primary care, but the size of variation between patient group and between practices is unclear.
We analysed data on 53 252 patients from 1868 general practices included in the National Cancer Diagnosis Audit 2018 using a sequence of logistic regression models to quantify and explain practice-level variation in investigation use, accounting for patient-level case-mix and practice characteristics. Four types of investigations were considered: any investigation, blood tests, imaging and endoscopy.
Large variation in practice use was observed (OR for 97.5th to 2.5th centile being 4.02, 4.33 and 3.12, respectively for any investigation, blood test and imaging). After accounting for patient case-mix, the spread of practice variation increased further to 5.61, 6.30 and 3.60 denoting that patients with characteristics associated with higher use (ie, certain cancer sites) are over-represented among practices with lower than the national average use of such investigation. Practice characteristics explained very little of observed variation, except for rurality (rural practices having lower use of any investigation) and concentration of older age patients (practices with older patients being more likely to use all types of investigations).
There is very large variation between practices in use of investigation in patients with cancer as part of the diagnostic process. It is conceivable that the diagnostic process can be improved if investigation use was to be increased in lower use practices, although it is also possible that there is overtesting in practices with very high use of investigations, and in fact both undertesting and overtesting may co-exist.
在基层医疗中,开展检查有助于支持癌症患者的诊断过程,但患者群体之间以及不同医疗机构之间的差异程度尚不清楚。
我们分析了2018年国家癌症诊断审计中1868家全科诊所53252名患者的数据,使用一系列逻辑回归模型来量化并解释检查使用方面的诊所层面差异,同时考虑患者层面的病例组合和诊所特征。共考虑了四种类型的检查:任何检查、血液检查、影像学检查和内镜检查。
观察到诊所使用情况存在很大差异(任何检查、血液检查和影像学检查的第97.5百分位数与第2.5百分位数的比值分别为4.02、4.33和3.12)。在考虑患者病例组合后,诊所差异范围进一步扩大至5.61、6.30和3.60,这表明在低于全国此类检查平均使用水平的诊所中,具有较高使用特征(即某些癌症部位)的患者占比过高。诊所特征对观察到的差异解释甚少,除了农村地区(农村诊所的任何检查使用量较低)和老年患者集中情况(老年患者较多的诊所更有可能使用所有类型的检查)。
作为诊断过程的一部分,癌症患者检查的使用在不同诊所之间存在很大差异。可以想象,如果在使用量较低的诊所增加检查使用,诊断过程可能会得到改善,不过在检查使用量非常高的诊所也可能存在过度检查的情况,实际上可能同时存在检查不足和过度检查的现象。