Suppr超能文献

患者病例组合对癌症诊断时分期的公共卫生领域统计数据的影响:一项横断面研究。

The influence of patient case mix on public health area statistics for cancer stage at diagnosis: a cross-sectional study.

机构信息

The Healthcare Improvement Studies (THIS) Institute, University of Cambridge, Cambridge, UK.

Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

出版信息

Eur J Public Health. 2019 Dec 1;29(6):1103-1107. doi: 10.1093/eurpub/ckz024.

Abstract

BACKGROUND

statistics comparing the stage at diagnosis of geographically defined populations of cancer patients are increasingly used in public reporting to monitor geographical inequalities but may be confounded by patient case mix. We explore the impact of case-mix adjustment on a publicly reported measure of early stage at diagnosis in England.

METHODS

We analyzed data used for publicly reported statistics about the stage of patients diagnosed with 1 of 11 solid tumours in 2015 in England, including information on cancer site (bladder, breast, colon, rectum, kidney, lung, melanoma, non-Hodgkin lymphoma, ovarian, prostate, endometrial), age, gender, income deprivation and population-based commissioning organization. We investigated how cancer site and other patient characteristics influence organizational comparisons and attainment of early-stage targets (≥60% of all cases diagnosed in TNM stages I-II).

RESULTS

Adjusting for patient case mix reduced between-organization variance by more than 50%, resulting in appreciable discordance in organizational ranks (Kendall's tau = 0.53), with 18% (37/207) of organizations being reclassified as meeting/failing the early-stage target due to case mix.

CONCLUSION

Summary statistics on stage of cancer diagnosis for geographical populations currently used as public health surveillance tools to monitor organizational inequalities need to account for patient sociodemographic characteristics and cancer site case mix.

摘要

背景

比较癌症患者地理位置定义人群的诊断阶段的统计数据越来越多地用于公共报告,以监测地理不平等,但可能会受到患者病例组合的混杂。我们探讨了病例组合调整对英格兰一个早期诊断阶段的公共报告衡量指标的影响。

方法

我们分析了 2015 年在英格兰诊断的 11 种实体瘤患者的阶段数据,包括癌症部位(膀胱、乳房、结肠、直肠、肾脏、肺、黑色素瘤、非霍奇金淋巴瘤、卵巢、前列腺、子宫内膜)、年龄、性别、收入剥夺和基于人群的委托组织。我们研究了癌症部位和其他患者特征如何影响组织间比较以及实现早期阶段目标(所有病例中≥60%诊断为 TNM Ⅰ-Ⅱ期)。

结果

调整患者病例组合后,组织间差异减少了 50%以上,导致组织排名明显不一致(Kendall's tau = 0.53),由于病例组合,18%(37/207)的组织被重新分类为符合/不符合早期阶段目标。

结论

目前用于监测组织不平等的癌症诊断阶段的地理人群的汇总统计数据需要考虑患者社会人口特征和癌症部位病例组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f6a/6896974/5c526004c429/ckz024f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验