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医疗保健基础设施是否会影响诊断和生存的延迟?

Does healthcare infrastructure have an impact on delay in diagnosis and survival?

机构信息

Hamburg Center for Health Economics, University of Hamburg, Hamburg, Germany.

出版信息

Health Policy. 2012 May;105(2-3):128-37. doi: 10.1016/j.healthpol.2012.01.006. Epub 2012 Jan 31.

DOI:10.1016/j.healthpol.2012.01.006
PMID:22296953
Abstract

INTRODUCTION

The objectives of this study were to evaluate whether healthcare infrastructure impacts delay in diagnosis, and to determine whether healthcare infrastructure and delay in diagnosis impacts survival in gastric cancer.

METHODS

Administrative data from 2175 gastric cancer patients was analyzed using two Cox proportional hazard models with (i) delay in diagnosis and (ii) survival as dependent variables. Density of general practitioners, density of gastroenterologists, characteristics of specialty treatment centers, demographic information, and comorbidities were included in the models. Differentiation was made between urban and rural areas.

RESULTS

The likelihood of being diagnosed increased with an increase in general practitioners (p<0.0001) and gastroenterologists (p<0.0001) in rural areas. In urban areas a higher density of general practitioners reduced delay in diagnosis (p=0.0262), while a higher density of gastroenterologists did not (p=0.2480). The number of gastric cancer cases performed in hospital had a positive impact on survival (p<0.0001), while outpatient infrastructure did not.

CONCLUSION

Delay in diagnosis can be reduced by higher availability of general practitioners and gastroenterologists in rural areas. Given the already very high density of physicians in urban areas there is no effect of additional gastroenterologists. As learning effects can be observed with increased hospital volumes, minimum volumes for treatment of gastric cancer may be defined.

摘要

简介

本研究旨在评估医疗基础设施是否会影响胃癌的诊断延迟,并确定医疗基础设施和诊断延迟是否会影响胃癌患者的生存。

方法

利用包含(i)诊断延迟和(ii)生存的两个 Cox 比例风险模型,对来自 2175 名胃癌患者的行政数据进行了分析。模型中包含了普通科医生密度、肠胃病专家密度、专科治疗中心特征、人口统计学信息和合并症。研究区分了城市和农村地区。

结果

在农村地区,普通科医生(p<0.0001)和肠胃病专家(p<0.0001)的数量增加,诊断的可能性增加。在城市地区,普通科医生密度的增加(p=0.0262)可减少诊断延迟,而肠胃病专家密度的增加则没有影响(p=0.2480)。在医院进行的胃癌病例数量对生存有积极影响(p<0.0001),而门诊基础设施没有影响。

结论

农村地区普通科医生和肠胃病专家的可用性增加,可以减少诊断延迟。鉴于城市地区医生的密度已经非常高,增加肠胃病专家并没有效果。由于随着医院工作量的增加可以观察到学习效应,可能可以为胃癌的治疗规定最低病例量。

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