How Much Information Is Too Much? An Experimental Examination of How Information Disclosures May Unintentionally Encourage the Withholding of Health Information

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Helen Colby, Deidre Popovich, Tony Stovall
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引用次数: 0

Abstract

IntroductionInformation disclosures are used in medicine to provide patients with relevant information. This research examines whether patients are less likely to discuss medical conditions with their physicians after seeing an insurance information disclosure.MethodsThree experimental studies with nonprobability online samples (ntotal = 875 US adult participants) examined the impact of information disclosures on patients’ likelihood of disclosing symptoms to providers, using new symptoms and preexisting chronic conditions. The effects of insurance disclosures were also compared to those of pharmaceutical discount disclosures.ResultsThese studies demonstrate that information disclosures can result in unintended consequences for patients and providers. Results showed that information disclosures about insurance claims significantly negatively affected willingness to discuss health information with providers. This effect was consistent for both new health concerns, b = −0.661, P < 0.001 (study 1, n = 250) and b = −0.893, P < 0.001 (study 3, n = 375), as well as chronic conditions, b = −1.175, P < .001 (study 2, n = 250); all studies were conducted in January 2023. Information provided to patients about pharmaceutical savings did not similarly affect willingness to discuss symptoms with providers.LimitationsThese were experimental studies with hypothetical scenarios. Future research is needed to understand how patients react to information disclosures in a physician’s office. Future research is also needed to examine the role of specific wording and tone used in information disclosures.ConclusionsPrior research has shown that patients prefer more information and to be involved in their medical decisions; however, these studies demonstrate that some information disclosures can discourage full communication between patients and physicians.ImplicationsThis research has important implications for the potential consequences of information disclosures in health care settings. Information disclosures should be presented in a way that will not discourage candid discussions of patient symptoms.HighlightsThis research found that information disclosures about insurance claims can negatively affect patient willingness to discuss health information with providers. Information disclosures may sometimes fall short of their intended purpose of aiding patient decisions with the goal of improved well-being. When information disclosures are focused on warning about potential new costs, patients may feel uncomfortable discussing new symptoms with their providers. Findings suggest patients may often be more concerned with costs than with addressing their ongoing health problems.
多少信息才算多?信息披露如何无意中鼓励隐瞒健康信息的实验研究
导言信息披露在医学中被用来为患者提供相关信息。本研究探讨了患者在看到保险信息披露后是否不太可能与医生讨论病情。方法三项非概率在线样本实验研究(总计 = 875 名美国成人参与者)利用新症状和既往慢性疾病,研究了信息披露对患者向医疗服务提供者披露症状的可能性的影响。这些研究表明,信息披露可能会给患者和医疗服务提供者带来意想不到的后果。研究结果表明,保险理赔信息的披露严重影响了患者与医疗服务提供者讨论健康信息的意愿。这种影响对于新的健康问题(b = -0.661,P <0.001,研究 1,n = 250)和 b = -0.893,P <0.001,研究 3,n = 375)以及慢性病(b =-1.175,P <.001,研究 2,n = 250)都是一致的;所有研究都是在 2023 年 1 月进行的。向患者提供有关节省药品的信息并不会同样影响患者与医疗服务提供者讨论症状的意愿。要了解患者在医生办公室对信息披露的反应,还需要今后的研究。结论先前的研究表明,患者更希望获得更多信息并参与医疗决策;然而,这些研究表明,某些信息披露会阻碍患者与医生之间的充分沟通。这项研究发现,有关保险理赔的信息披露会对患者与医疗服务提供者讨论健康信息的意愿产生负面影响。信息披露有时可能达不到其预期目的,即帮助患者做出决定,从而改善其健康状况。当信息披露的重点是警告潜在的新费用时,患者可能会在与医疗服务提供者讨论新症状时感到不自在。研究结果表明,患者往往更关心费用,而不是解决他们当前的健康问题。
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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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