Lung Cancer Screening: Identifying Factors Associated With Participation

肺癌筛查：确定与参与相关的因素

• 批准号: 9302070
• 负责人: SUSAN M RAWL
• 金额: $ 45.83万
• 依托单位: INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-05 至 2020-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9302070
• 关键词: Address; Advisory Committees; Analysis of Variance; Behavior; Characteristics; Cognitive; Colorectal Cancer; Complement; Data; Data Analyses; Data Display; Data Reporting; Decision Making; Diagnosis; Disease; Elements; Eligibility Determination; Equation; Focus Groups; Foundations; Fright; Future; Health; Health Personnel; Health Status; Healthcare Systems; Individual; Intervention; Interview; Knowledge; Life Style; Linear Regressions; Link; Logistic Regressions; Lung; Malignant Neoplasms; Malignant neoplasm of lung; Malignant neoplasm of pancreas; Malignant neoplasm of prostate; Measures; Mediation; Mediator of activation protein; Medical; Methods; Modeling; Nicotine; Online Systems; Outcome; Participant; Patient Self-Report; Patient risk; Patients; Population; Preventive service; Process; Provider; Questionnaires; Recommendation; Recording of previous events; Research Design; Research Personnel; Review Literature; Sampling; Screening for cancer; Secondary to; Series; Smoker; Smoking; Survey Methodology; Surveys; Survival Rate; Testing; Thoracic Radiography; Time; Tobacco; Tobacco use; Trust; Work; addiction; base; cancer type; design; experience; health belief; high risk; improved; killings; low-dose spiral CT; lung cancer screening; malignant breast neoplasm; mortality; programs; psychologic; randomized trial; screening; shared decision making; social; social stigma; therapy development

Abstract Lung cancer screening is a recent recommendation and new screening programs are currently being implemented. However, we do not yet know what factors influence screening-eligible smokers to screen. Smokers are a unique population and psychological variables (stigma, medical mistrust, cancer fatalism, worry, and fear) may be important and have very different relationships in lung cancer screening participation than participation in other types of cancer screening. The purpose of this mixed methods study is to develop an explanatory framework for lung cancer screening participation from the perspective of the individual to inform future patient-level tailored interventions through testing a model of factors related to screening. Specific aims include: 1) test the relationships among variables depicted in the conceptual model for lung cancer screening participation using structural equation modeling including mediation effects in a sample of screening-eligible long-term current and former smokers; 2) provide robust descriptions of factors that influence lung cancer screening and elucidate the relationships among the factors based on in-depth narratives of screening-eligible smokers; and 3) integrate findings drawn from both survey and narrative data to inform patient-level tailored intervention development. Study design: Sequential explanatory mixed methods design using survey methods and individual interviews. Measures: Quantitative self-reported data will be collected via a web-based survey comprised of the following elements: Cataldo Lung Cancer Stigma Smoking Subscale, Patient Trust in the Medical Profession Scale, Revised Powe Fatalism Scale, Lung Cancer Worry Scale, Lung Cancer Fear Scale, Demographic and Health Status Characteristics Questionnaire (including healthcare provider recommendation, media exposure, and lung cancer screening participation), Knowledge: Lung Cancer and Lung Cancer Screening Scale, Social Influence Scale, and Lung Cancer Screening Health Beliefs Scales. Qualitative data will be collected via audio- taped individual in-depth interviews. Data analysis: Quantitative data will be analyzed using bivariate analyses between variables in the conceptual model including t-tests, analysis of variance, linear regression, and logistic regression. The entire conceptual model will then be analyzed using path analysis via structural equation modeling. Content analysis and a series of data display tables will be used to analyze data from the in-depth interviews. The integration of qualitative and quantatitive will occur at two time points: (1) quantitative data will be used to develop individual participant profiles in order to selectively sample participants and design interview guides for the in-depth interviews; and (2) the quantitative and qualitative findings will be integrated at the stage of data interpretation. By augmenting quantitative findings with qualitative data, we will generate new knowledge to inform future tailored interventions.

抽象的 肺癌筛查是最近的建议，目前正在新的筛查计划 实施的。但是，我们尚不知道哪些因素会影响符合筛查的吸烟者进行筛查。 吸烟者是独特的人群和心理变量（污名，医学不信任，癌症宿命论，忧虑， 和恐惧）可能很重要，并且在肺癌筛查参与中具有截然不同的关系 参与其他类型的癌症筛查。 这项混合方法研究的目的是开发一个解释性的肺癌筛查框架 从个人的角度参与，通过 测试与筛查有关的因素模型。具体目的包括：1）测试 使用结构方程进行肺癌筛查参与的概念模型中描述的变量 在符合筛查符合筛查的长期电流和以前的吸烟者样本中，包括调解效应； 2）提供了影响肺癌筛查并阐明关系的因素的强大描述 在基于符合筛查资格吸烟者的深入叙述的因素中； 3）整合绘制的发现 从调查和叙事数据中，可以为患者级量身定制的干预开发提供信息。 研究设计：使用调查方法和个人访谈的顺序解释混合方法设计。 措施：定量自我报告的数据将通过基于网络的调查收集 元素：Cataldo肺癌污名吸烟量表，患者对医学界的信任， 修订的Powe宿命论量表，肺癌忧虑量表，肺癌恐惧量表，人口统计和健康 状态特征问卷（包括医疗保健提供者建议，媒体曝光和 肺癌筛查参与），知识：肺癌和肺癌筛查量表，社会 影响量表和肺癌筛查健康信念量表。定性数据将通过音频收集 录制了个人深入的访谈。 数据分析：将使用概念中变量之间的双变量分析来分析定量数据 包括t检验，方差分析，线性回归和逻辑回归的模型。整个概念 然后，将通过结构方程建模使用路径分析对模型进行分析。内容分析和 一系列数据显示表将用于分析深度访谈中的数据。整合 定性和定量将在两个时间点发生：（1）定量数据用于开发个人 参与者的个人资料是为了选择性地对参与者进行采样和设计面试指南，以深入 访谈； （2）定量和定性发现将在数据解释的阶段集成。 通过使用定性数据增强定量发现，我们将生成新知识以告知未来 量身定制的干预措施。

项目成果

Smoking-Related Social Interactions as Experienced by Persons Who Smoked Long-term.

• DOI: 10.1097/nur.0000000000000555
• 发表时间: 2020
• 期刊: Clinical nurse specialist CNS
• 作者: Draucker CB;Rawl SM;Vode E;Fields M;Elkins C;Morgan O;Perez SR;Straber L;Carter-Harris L
• 通讯作者: Carter-Harris L

Integration Through Connecting in Explanatory Sequential Mixed Method Studies.

• DOI: 10.1177/0193945920914647
• 发表时间: 2020-12
• 期刊: Western journal of nursing research
• 影响因子: 1.8
• 作者: Draucker CB;Rawl SM;Vode E;Carter-Harris L
• 通讯作者: Carter-Harris L