评估和理解乳腺造影筛查中对过度诊断反应的反应、自我豁免、不信任、来源减损和信息冲突:量表开发和初步验证。

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Medical Decision Making Pub Date : 2023-10-01 Epub Date: 2023-09-14 DOI:10.1177/0272989X231195603
Laura D Scherer, Krithika Suresh, Carmen L Lewis, Kirsten J McCaffery, Jolyn Hersch, Joseph N Cappella, Brad Morse, Channing E Tate, Bridget S Mosley, Sarah Schmiege, Marilyn M Schapira
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引用次数: 0

摘要

目的:过度诊断是做出知情的癌症筛查决定的核心概念,但有些人可能会对过度诊断产生怀疑和怀疑。本研究评估了过度诊断的4种相关反应:抗拒、自我豁免、怀疑和来源减损(REDS)。过度诊断的概念与参与者先前的信念和健康信息冲突的程度(信息冲突)也被评估为REDS的潜在先行因素。我们开发了一个评估这些反应的量表,评估了这些反应之间的关系,并确定了它们对筛查决策的潜在影响。方法:39至49岁的女性参与者 多年来,他们阅读了有关乳腺钼靶筛查过度诊断的信息,并完成了评估他们对这些信息反应的调查问题。我们使用多维理论框架来评估REDS和信息冲突问题的维度和特定领域的整体内部一致性。使用随机分为训练集和测试集的数据进行探索性和验证性因素分析。评估REDS、筛查意向和其他结果之间的相关性。结果:五百二十五名参与者完成了一项在线调查。探索性和验证性因素分析表明,反应、自我豁免、不信任、来源减损和信息冲突代表了独特的结构。通过每个构造选择4个项目来创建缩减的20个项目的规模,这显示出良好的模型拟合。反应、不信任和来源减损与决策中使用过度诊断信息的意愿较低以及认为告知人们过度诊断不重要有关。结论:REDS和信息冲突是不同但相关的结构,是对过度诊断的常见反应。其中一些反应可能会对做出知情的筛查决定产生负面影响。要点:过度诊断是做出知情的癌症筛查决定的核心概念,但当提供有关过度诊断的信息时,一些人持怀疑态度。这项研究开发了一种测量方法,评估了人们对过度诊断表示怀疑的不同方式(抗拒、自我豁免、怀疑、来源减损),以及过度诊断与先前知识和健康信息冲突的看法(信息冲突)关于过度诊断。反应、怀疑和来源减损与决策中使用过度诊断信息的意愿较低以及认为告知人们过度诊断不重要有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing and Understanding Reactance, Self-Exemption, Disbelief, Source Derogation and Information Conflict in Reaction to Overdiagnosis in Mammography Screening: Scale Development and Preliminary Validation.

Purpose: Overdiagnosis is a concept central to making informed breast cancer screening decisions, and yet some people may react to overdiagnosis with doubt and skepticism. The present research assessed 4 related reactions to overdiagnosis: reactance, self-exemption, disbelief, and source derogation (REDS). The degree to which the concept of overdiagnosis conflicts with participants' prior beliefs and health messages (information conflict) was also assessed as a potential antecedent of REDS. We developed a scale to assess these reactions, evaluated how those reactions are related, and identified their potential implications for screening decision making.

Methods: Female participants aged 39 to 49 years read information about overdiagnosis in mammography screening and completed survey questions assessing their reactions to that information. We used a multidimensional theoretical framework to assess dimensionality and overall domain-specific internal consistency of the REDS and Information Conflict questions. Exploratory and confirmatory factor analyses were performed using data randomly split into a training set and test set. Correlations between REDS, screening intentions, and other outcomes were evaluated.

Results: Five-hundred twenty-five participants completed an online survey. Exploratory and confirmatory factor analyses identified that Reactance, Self Exemption, Disbelief, Source Derogation, and Information Conflict represent unique constructs. A reduced 20-item scale was created by selecting 4 items per construct, which showed good model fit. Reactance, Disbelief, and Source Derogation were associated with lower intent to use information about overdiagnosis in decision making and the belief that informing people about overdiagnosis is unimportant.

Conclusions: REDS and Information Conflict are distinct but correlated constructs that are common reactions to overdiagnosis. Some of these reactions may have negative implications for making informed screening decisions.

Highlights: Overdiagnosis is a concept central to making informed breast cancer screening decisions, and yet when provided information about overdiagnosis, some people are skeptical.This research developed a measure that assessed different ways in which people might express skepticism about overdiagnosis (reactance, self-exemption, disbelief, source derogation) and also the perception that overdiagnosis conflicts with prior knowledge and health messages (information conflict).These different reactions are distinct but correlated and are common reactions when people learn about overdiagnosis.Reactance, disbelief, and source derogation are associated with lower intent to use information about overdiagnosis in decision making as well as the belief that informing people about overdiagnosis is unimportant.

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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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