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对 Alerta Rosa 导航项目中出现异常乳腺表现的患者进行优先排序,以减少诊断延误。

Prioritization of Patients with Abnormal Breast Findings in the Alerta Rosa Navigation Program to Reduce Diagnostic Delays.

机构信息

Médicos e Investigadores en la Lucha contra el Cáncer de Mama (MILC), Mexico City, Mexico.

Breast Cancer Center, Hospital Zambrano Hellion, Tecnologico de Monterrey, San Pedro Garza Garcia, Nuevo Leon, Mexico.

出版信息

Oncologist. 2020 Dec;25(12):1047-1054. doi: 10.1634/theoncologist.2020-0228. Epub 2020 Aug 25.

Abstract

INTRODUCTION

In Mexico, there are considerable health system delays in the diagnosis and treatment initiation of women with breast cancer. Alerta Rosa is a navigation program in Nuevo Leon that aims to reduce barriers that impede the timely management of these patients.

PATIENTS AND METHODS

Since December 2017, women who registered to receive medical evaluations by Alerta Rosa were stratified based on their clinical characteristics into three priority groups ("Red," "Yellow," and "Green"). According to the category assigned, patients were scheduled imaging studies and medical appointments with breast specialists on a preferential basis.

RESULTS

Up until December 2019, 561 patients were scheduled for medical evaluations. Of them, 59% were classified as "Red," 25% "Yellow," and 16% "Green" priority. The median time from stratification to first medical evaluation was 4, 6, and 7 days, respectively (p = .003). Excluding those who had a prior breast cancer diagnosis, 21 patients were diagnosed by Alerta Rosa, with the initial "Red" priority classification demonstrating a sensitivity of 95% (95% confidence interval [CI], 75.1%-99.9%) and specificity of 42% (95% CI, 37.1%-47.1%) for breast cancer. The median time elapsed from initial patient contact to diagnosis and treatment initiation was 16 days and 39 days, respectively. The majority (72%) of patients were diagnosed at an early stage (0-II).

CONCLUSION

This patient prioritization system adequately identified women with different probabilities of having breast cancer. Efforts to replicate similar triage systems in resource-constrained settings where screening programs are ineffective could prove to be beneficial in reducing diagnostic intervals and achieving early-stage diagnoses.

IMPLICATIONS FOR PRACTICE

Low- and middle-income countries such as Mexico currently lack the infrastructure to achieve effective breast cancer screening and guarantee prompt access to health care when required. To reduce the disease burden in such settings, strategies targeting early detection are urgently needed. Patient navigation programs aid in the reduction of health system intervals and optimize the use of available resources. This article presents the introduction of a triage system based on initial patient concern. Appointment prioritization proved to be successful at reducing health system intervals and achieving early-stage diagnoses by overcoming barriers that impede early access to quality medical care.

摘要

简介

在墨西哥,女性乳腺癌的诊断和治疗启动存在相当大的卫生系统延迟。Alerta Rosa 是新莱昂州的一个导航项目,旨在减少阻碍这些患者及时管理的障碍。

患者和方法

自 2017 年 12 月以来,登记接受 Alerta Rosa 医疗评估的女性根据其临床特征分为三个优先等级(“红色”、“黄色”和“绿色”)。根据分配的类别,患者优先安排影像学检查和与乳腺专家的医疗预约。

结果

截至 2019 年 12 月,共有 561 名患者安排了医疗评估。其中,59%被归类为“红色”,25%为“黄色”,16%为“绿色”优先。分层后至首次医疗评估的中位时间分别为 4、6 和 7 天(p =.003)。排除那些有先前乳腺癌诊断的患者,Alerta Rosa 诊断出 21 例患者,初始“红色”优先分类的敏感性为 95%(95%置信区间 [CI],75.1%-99.9%),特异性为 42%(95% CI,37.1%-47.1%)。从最初与患者接触到诊断和治疗开始的中位时间分别为 16 天和 39 天。大多数(72%)患者被诊断为早期(0-II 期)。

结论

该患者优先分类系统能够充分识别不同患有乳腺癌可能性的女性。在资源有限且筛查计划无效的环境中复制类似分诊系统的努力可能有助于缩短诊断间隔并实现早期诊断,从而降低疾病负担。

实践意义

像墨西哥这样的中低收入国家目前缺乏实现有效乳腺癌筛查的基础设施,并保证在需要时能够及时获得医疗保健。为了减少这些环境中的疾病负担,迫切需要采取针对早期发现的策略。患者导航计划有助于减少卫生系统间隔并优化可用资源的利用。本文介绍了一种基于初始患者关注的分诊系统。通过克服阻碍早期获得高质量医疗保健的障碍,预约优先排序被证明在缩短卫生系统间隔和实现早期诊断方面取得了成功。

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