The Role of Smoking Status in Making Risk-Informed Diagnostic Decisions in the Lung Cancer Pathway: A Qualitative Study of Health Care Professionals and Patients.

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Medical Decision Making Pub Date : 2024-02-01 Epub Date: 2024-01-19 DOI:10.1177/0272989X231220954
Georgia B Black, Sam M Janes, Matthew E J Callister, Sandra van Os, Katriina L Whitaker, Samantha L Quaife
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引用次数: 0

Abstract

Background: Lung cancer clinical guidelines and risk tools often rely on smoking history as a significant risk factor. However, never-smokers make up 14% of the lung cancer population, and this proportion is rising. Consequently, they are often perceived as low-risk and may experience diagnostic delays. This study aimed to explore how clinicians make risk-informed diagnostic decisions for never-smokers.

Methods: Qualitative interviews were conducted with 10 lung cancer diagnosticians, supported by data from interviews with 20 never-smoker lung cancer patients. The data were analyzed using a framework analysis based on the Model of Pathways to Treatment framework and data-driven interpretations.

Results: Participants described 3 main strategies for making risk-informed decisions incorporating smoking status: guidelines, heuristics, and potential harms. Clinicians supplemented guidelines with their own heuristics for never-smokers, such as using higher thresholds for chest X-ray. Decisions were easier for patients with high-risk symptoms such as hemoptysis. Clinicians worried about overinvestigating never-smoker patients, particularly in terms of physical and psychological harms from invasive procedures or radiation. To minimize unnecessary anxiety about lung cancer risk, clinicians made efforts to downplay this. Conversely, some patients found that this caused process harms such as delays and miscommunications.

Conclusion: Improved guidance and methods of risk differentiation for never-smokers are needed to avoid diagnostic delays, overreassurance, and clinical pessimism. This requires an improved evidence base and initiatives to increase awareness among clinicians of the incidence of lung cancer in never-smokers. As the proportion of never-smoker patients increases, this issue will become more urgent.

Highlights: Smoking status is the most common risk factor used by clinicians to guide decision making, and guidelines often focus on this factor.Some clinicians also use their own heuristics for never-smokers, and this becomes particularly relevant for patients with lower risk symptoms.Clinicians are also concerned about the potential harms and risks associated with deploying resources on diagnostics for never-smokers.Some patients find it difficult to decide whether or not to go ahead with certain procedures due to efforts made by clinicians to downplay the risk of lung cancer.Overall, the study highlights the complex interplay between smoking history, clinical decision making, and patient anxiety in the context of lung cancer diagnosis and treatment.

吸烟状况在肺癌风险知情诊断决策中的作用:对医护人员和患者的定性研究。
背景:肺癌临床指南和风险工具通常将吸烟史作为一个重要的风险因素。然而,从不吸烟者占肺癌患者的 14%,而且这一比例还在上升。因此,他们通常被认为是低风险人群,并可能会延误诊断。本研究旨在探讨临床医生如何为从不吸烟者做出风险知情的诊断决定:方法:对 10 名肺癌诊断人员进行了定性访谈,并辅以对 20 名从不吸烟的肺癌患者的访谈数据。采用基于治疗路径模型框架的框架分析法和数据驱动解释法对数据进行分析:结果:参与者描述了结合吸烟状况做出风险知情决策的三种主要策略:指南、启发式方法和潜在危害。对于从不吸烟的患者,临床医生使用自己的启发式方法对指南进行补充,例如使用更高的胸部 X 光阈值。对于有咯血等高危症状的患者,更容易做出决定。临床医生担心会对从不吸烟的患者进行过度调查,尤其是在侵入性程序或辐射造成的身体和心理伤害方面。为了尽量减少不必要的肺癌风险焦虑,临床医生努力淡化这种焦虑。相反,一些患者发现这造成了过程伤害,如延误和沟通不畅:结论:需要改进针对从不吸烟者的风险区分指导和方法,以避免诊断延误、过度保证和临床悲观情绪。这就需要改进证据基础,并采取措施提高临床医生对从不吸烟者肺癌发病率的认识。随着从不吸烟患者比例的增加,这一问题将变得更加紧迫:吸烟状况是临床医生用于指导决策的最常见风险因素,指南通常也以这一因素为重点。一些临床医生也会对从不吸烟者使用自己的启发式方法,这与风险症状较低的患者尤为相关。由于临床医生极力淡化肺癌风险,一些患者难以决定是否进行某些手术。总之,该研究强调了肺癌诊断和治疗中吸烟史、临床决策和患者焦虑之间复杂的相互作用。
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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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