Reducing Missed And Delayed Diagnoses In Cancer: Lessons From Aviation

该奖项的目的是为申请人提供必要的经验，指导和知识，使其成为癌症诊断错误领域的独立卫生服务研究人员。诊断错误可能是初级保健中最常见的错误类型，也是最昂贵的。错过和延迟癌症诊断是特别频繁，有害和昂贵的。癌症诊断中的错误知之甚少，难以研究。虽然诊断错误已被证明有系统和认知的起源，有没有全面的理论解决医疗诊断问题，解决这两种类型的因素。然而，在航空安全研究中使用的态势感知框架包括飞行员决策错误的认知和系统根源，并可能提供解决方案，以改善诊断过程。对情况的了解先于有效的决策，对有效的决策至关重要，是正确诊断概念化的关键因素。研究的目标是使用情境意识框架，它有可能解决医疗决策错误的系统和认知根源，以确定错过和延迟乳腺癌，肺癌和结肠癌诊断的关键决定因素。总体假设是，态势感知框架可用于识别诊断过程中的主要认知和系统漏洞，并建议未来的改进目标。在初步工作中，申请人已经使用该框架来研究癌症诊断决策的过程。利用德克萨斯州医学中心几个机构的跨学科资源，美国国家航空航天局的协作专业知识，以及通过国家癌症研究所资助的联盟提供的临床场景，具体目标是：目标1：使用情景感知框架来回顾性地识别导致癌症诊断错误的主要系统因素。目标二：在模拟环境中使用情境感知框架，前瞻性地识别癌症相关诊断决策中的主要认知错误。目标3;前瞻性研究认知和系统因素及其相互作用对真实的临床环境中癌症诊断情境意识的影响。申请人具有丰富的临床经验，目前正在通过NIH资助的K30项目获得基本的研究技能。为了实现理解和减少诊断错误的目标，他需要先进的研究技能和特定内容学科的指导培训。一个高素质的跨学科咨询团队将监督培训，包括指导研究，正式课程，指导阅读和研讨会。拟议的活动将提供一个多学科的基础，以减少癌症的诊断错误，并将为申请人提供他需要在健康结果研究职业生涯中实现独立的经验和技能，重点是癌症诊断。

DESCRIPTION (provided by applicant): The objective of this award is to provide the applicant with the experience, mentoring and knowledge necessary to become an independent health services researcher in the field of diagnostic errors in cancer. Diagnostic errors are likely the most common type of error in primary care and are the most expensive. Missed and delayed cancer diagnoses are particularly frequent, harmful and costly. Errors in cancer diagnosis are poorly understood and difficult to study. Although diagnostic errors have been shown to have both systems and cognitive origins, there is no comprehensive theory of medical diagnostic problem-solving that addresses both types of factors. However, the situational awareness framework used in aviation safety research encompasses cognitive and system origins of pilots' decision-making errors and may offer solutions to improving the diagnostic process as well. Situational awareness precedes and is critical to effective decision-making, a key element in conceptualization of a correct diagnosis. The research goal is to use the situational awareness framework, which has the potential to address both systems and cognitive origins of medical decision-making errors, to identify key determinants of missed and delayed breast, lung and colon cancer diagnoses. The overall hypothesis is that the situational awareness framework can be used to identify the major cognitive and systems vulnerabilities in the diagnostic process and to suggest future targets for improvement. In preliminary work, the applicant has used this framework to study the process of diagnostic decision-making in cancer. Taking advantage of interdisciplinary resources from several institutions in the Texas Medical Center, collaborative expertise from the National Aeronautics and Space Administration, and clinical scenarios available through a National Cancer Institute-funded consortium, the specific aims are: Aim 1: To use the situational awareness framework to retrospectively identify the major system factors that lead to diagnostic errors in cancer. Aim 2: To use the situational awareness framework in a simulated setting to prospectively identify the major cognitive errors in cancer-related diagnostic decision-making. Aim 3; To study prospectively the effects of cognitive and system factors and their interplay on situational awareness in diagnosis of cancers in real clinical settings. The applicant has extensive clinical experience and is currently obtaining basic research skills through an NIH-funded K30 program. To achieve his goal of understanding and reducing diagnostic errors he needs advanced research skills and mentored training in specific content disciplines. A highly qualified interdisciplinary advisory team will supervise training that will include mentored research, formal coursework, directed readings and seminars. The proposed activities will provide a multidisciplinary foundation to reduce diagnostic errors in cancer and will provide the applicant with the experiences and skills he needs to achieve independence in a health outcomes research career focused on cancer diagnoses.