Evaluation of lung cancer early detection offered by the German Social Accident Insurance for formerly asbestos-exposed employees using low-dose computed tomography - setting and study design.

IF 3.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Felix Greiner, Jan Heidrich, Helena Keller, Dirk Taeger, Thorsten Wiethege, Volker Harth
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引用次数: 0

Abstract

Background: Clinical trials have shown the benefits of lung cancer screening (LCS) in certain high-risk groups using low-dose high-resolution computed tomography (LDCT). Risk groups are usually defined by age and tobacco use. Exposure to asbestos dust is an important occupational risk factor for lung cancer. Since 2014, the German Social Accident Insurance (DGUV) has introduced annual LCS for high-risk groups (EVA-LCS). In addition to occupational asbestos dust exposure, the population at risk is defined by age (≥ 55 years) and tobacco consumption (≥ 30 pack-years). The health services research project EVALUNG aims to evaluate the EVA-LCS using a combination of quantitative and qualitative methods.

Methods: The quantitative part will be based on a secondary data analysis of routine administrative and medical data from the EVA-LCS. The results of the individual screening rounds will be analysed in a cross-sectional design. Primary endpoints are participation patterns, the rate of findings requiring further diagnostic investigation, the detection of lung cancer including tumour stage and characteristics, and the notification and recognition of asbestos-related occupational diseases. Secondary endpoints include false-positive and false-negative findings, incidence of other cancers, and all-cause and cancer-related mortality. To avoid selection bias, a complete set of anonymised data (approximately 22,200 individuals as of 12/2021) from the EVA-LCS will be transmitted for use in EVALUNG. A sub-sample will be used to perform longitudinal analyses and explore a linkage with cancer registry data. Another component is the development and piloting of quality indicators. Qualitative interviews will be conducted to analyse the perceptions, satisfaction, and potential psychological effects of EVA-LCS participants. Interviews with participating physicians will focus on their attitudes and knowledge regarding LCS. A further aim is to develop an evidence-based decision aid.

Discussion: The EVALUNG concept is based on various complementary approaches, enabling a comprehensive evaluation of the EVA-LCS and the identification of optimization potentials. The quality of the data is crucial for the validity of the quantitative analyses. One way to address potential limitations is to link the data with cancer registry data. The results may contribute to the planning and development of a national LDCT lung cancer screening programme in Germany.

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使用低剂量计算机断层扫描评估德国社会意外保险为以前接触石棉的雇员提供的肺癌早期检测-设置和研究设计。
背景:临床试验表明,使用低剂量高分辨率计算机断层扫描(LDCT)在某些高危人群中进行肺癌筛查(LCS)是有益的。危险人群通常根据年龄和烟草使用情况来定义。石棉粉尘暴露是肺癌的重要职业危险因素。自2014年以来,德国社会意外保险(DGUV)为高危人群引入了年度LCS (EVA-LCS)。除了职业性石棉粉尘暴露外,危险人群的定义还包括年龄(≥55岁)和烟草消费(≥30包年)。保健服务研究项目EVALUNG的目的是利用定量和定性相结合的方法评价EVA-LCS。方法:定量部分将基于EVA-LCS常规行政和医疗数据的二次数据分析。个别筛选轮的结果将在横断面设计中进行分析。主要终点是参与模式、需要进一步诊断调查的发现率、肺癌的发现(包括肿瘤分期和特征)以及石棉相关职业病的通报和识别。次要终点包括假阳性和假阴性结果、其他癌症的发病率、全因死亡率和癌症相关死亡率。为避免选择偏差,将传输EVA-LCS的一套完整的匿名数据(截至2021年12月约22,200人),用于EVALUNG。将使用子样本进行纵向分析,并探索与癌症登记数据的联系。另一个组成部分是制订和试行质量指标。将进行定性访谈,以分析EVA-LCS参与者的感知、满意度和潜在的心理影响。对参与的医生的访谈将侧重于他们对LCS的态度和知识。进一步的目标是发展一种基于证据的决策援助。讨论:EVALUNG概念基于各种互补方法,能够对EVA-LCS进行全面评估并确定优化潜力。数据的质量对定量分析的有效性至关重要。解决潜在限制的一种方法是将数据与癌症登记数据联系起来。该结果可能有助于德国国家LDCT肺癌筛查计划的规划和发展。
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来源期刊
Archives of Public Health
Archives of Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.80
自引率
3.00%
发文量
244
审稿时长
16 weeks
期刊介绍: rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.
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