分析肺癌患者的诊断和治疗等待时间:省级登记研究的主要见解。
Analyzing diagnostic and treatment wait times for lung cancer Patients: Key insights from a provincial registry study.
发表日期:2024 Aug
作者:
Manuel Luis Blanco-Villar, José Expósito-Hernández, Eulalia Navarro-Moreno, José María López Martín, Adrián Aparicio Mota, Felipe Couñago
来源:
LUNG CANCER
摘要:
肺癌(LC)仍然是全球癌症相关死亡的主要原因,需要及时诊断和治疗以改善患者的预后。本研究旨在评估西班牙阿尔梅里亚公立医院对 LC 患者护理的及时性,评估对指南的遵守情况,并探讨及时性与生存率之间的关系。进行了一项回顾性队列研究,回顾了 2019 年期间诊断的 LC 患者的医疗记录和 2021 年。根据现行指南改编的质量指标有助于评估护理及时性,重点关注诊断和治疗等待时间。采用 Cox 回归模型来探索生存关联,调整协变量,包括年龄、体能状态、分期、组织学和治疗方式。在 539 名患者中,大多数 (79.84%) 在 7 天内进行了初步专家联系,82.25% 接受了诊断30 天内。然而,治疗开始出现了延迟,手术的中位等待时间最长(78 天)。生存分析显示较短和较长的诊断(HR:0.87,95% CI:0.62-1.24)或治疗间隔(HR:1.14,95% CI:0.83-1.58)之间没有显着差异。多变量分析将年龄、体能状态、分期、组织学和治疗确定为预后因素。这项研究强调了及时诊断和治疗对于改善肺癌预后的重要性。尽管实现了诊断目标,但治疗延误的情况很常见,尤其是外科手术。这些发现强调需要加强协调和有效的护理途径,以尽量减少延误,最终提高肺癌患者的生存率和生活质量。解决这些问题对于未来优化肺癌护理服务至关重要。版权所有 © 2024 作者。由 Elsevier B.V. 出版。保留所有权利。
Lung cancer (LC) remains the leading cause of cancer-related mortality globally, necessitating timely diagnosis and treatment to improve patient outcomes. This study aimed to evaluate the timeliness of care for LC patients at a public hospital in Almería, Spain, assess adherence to guidelines, and explore associations between timeliness and survival.A retrospective cohort study was conducted, reviewing medical records of LC patients diagnosed between 2019 and 2021. Quality indicators, adapted from prevailing guidelines, facilitated the assessment of care timeliness, with a focus on diagnostic and treatment wait times. Cox regression modeling was employed to explore survival associations, adjusting for covariates including age, performance status, stage, histology, and treatment modalities.Of 539 patients included, most (79.84 %) had initial specialist contact within 7 days, and 82.25 % received diagnosis within 30 days. However, delays were observed in treatment initiation, with surgery experiencing the longest median wait time (78 days). Survival analysis showed no significant difference between shorter and longer diagnostic (HR: 0.87, 95 % CI: 0.62-1.24) or treatment intervals (HR: 1.14, 95 % CI: 0.83-1.58). Multivariate analysis identified age, performance status, stage, histology, and treatment as prognostic factors.This study highlights the importance of timely diagnosis and treatment in improving lung cancer outcomes. Despite achieving diagnostic targets, treatment delays were common, particularly for surgical interventions. These findings underscore the need for enhanced coordination and efficient care pathways to minimize delays, ultimately improving survival rates and quality of life for lung cancer patients. Addressing these issues is crucial for optimizing lung cancer care delivery in the future.Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.