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Effects of Risk Presentation Format and Frequently Asked Questions on Breast Cancer Risk Skepticism

2026年8月26日 更新者：University of Colorado, Denver
The purpose of this study is to find out whether the way a breast cancer risk estimate is presented affects how women feel about their risk and whether they believe the estimate is accurate for them. Women aged 39-74 will complete an online survey in which they receive a personalized breast cancer risk estimate using the Breast Cancer Risk Assessment Tool (BCRAT). The study includes two experiments. In the first experiment, women are randomly assigned to receive their estimate in different formats: some will see their risk over 5 years, 10 years, or a lifetime, and some will see their risk expressed out of 100 women or out of 1,000 women. In the second experiment, women receive their estimate and then have the opportunity to read answers to frequently asked questions about how breast cancer risk is calculated and what the estimate means. In both experiments, women are asked whether they believe the estimate reflects their true risk. Both experiments are conducted online through a national survey panel.

調査の概要

状態

まだ募集していません

条件

介入・治療

研究の種類

介入

入学 (推定)

3000

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究連絡先

研究連絡先のバックアップ

研究場所

  • アメリカ
    • Colorado
      • Aurora、Colorado、アメリカ、80045
        • University of Colorado Anschutz Medical Campus
        • コンタクト：
        • コンタクト：
        • 主任研究者：
          • Laura D Scherer, PhD

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

  • 大人
  • 高齢者

健康ボランティアの受け入れ

はい

説明

Inclusion Criteria:

  1. Female sex
  2. Age 39-74 (i.e., people who are eligible for routine breast cancer screening and for whom guidelines recommend an informed, risk-based decision)
  3. English literacy

Exclusion Criteria:

1. Prior diagnosis of

  1. breast cancer
  2. Ductal carcinoma in situ (DCIS)
  3. Lobular carcinoma in situ (LCIS)
  4. Known BRCA1/2 gene mutation
  5. Cowan syndrome
  6. Li-Fraumeni syndrome
  7. Having received previous chest radiation for treatment of Hodgkin's lymphoma.

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか？

デザインの詳細

  • 主な目的：ヘルスサービス研究
  • 割り当て：ランダム化
  • 介入モデル：階乗代入
  • マスキング：なし（オープンラベル）

武器と介入

参加者グループ / アーム
介入・治療
実験的：5 Year Risk AND N-in-100 Presentation
行動：Risk Presentation Format
Participants receive a personalized breast cancer risk estimate generated by the Gail Model. The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women). All other elements of the risk presentation are held constant across conditions.
行動：Frequently Asked Questions Exposure
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document. The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician. FAQ items are displayed as expandable questions; participants click to reveal answers. All participants receive the same FAQ document.
実験的：10 Year Risk AND N-in-100 Presentation
行動：Risk Presentation Format
Participants receive a personalized breast cancer risk estimate generated by the Gail Model. The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women). All other elements of the risk presentation are held constant across conditions.
行動：Frequently Asked Questions Exposure
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document. The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician. FAQ items are displayed as expandable questions; participants click to reveal answers. All participants receive the same FAQ document.
実験的：Lifetime Risk AND N-in-100 Presentation
行動：Risk Presentation Format
Participants receive a personalized breast cancer risk estimate generated by the Gail Model. The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women). All other elements of the risk presentation are held constant across conditions.
行動：Frequently Asked Questions Exposure
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document. The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician. FAQ items are displayed as expandable questions; participants click to reveal answers. All participants receive the same FAQ document.
実験的：5 Year Risk AND N-in-1000 Presentation
行動：Risk Presentation Format
Participants receive a personalized breast cancer risk estimate generated by the Gail Model. The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women). All other elements of the risk presentation are held constant across conditions.
行動：Frequently Asked Questions Exposure
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document. The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician. FAQ items are displayed as expandable questions; participants click to reveal answers. All participants receive the same FAQ document.
実験的：10 Year Risk AND N-in-1000 Presentation
行動：Risk Presentation Format
Participants receive a personalized breast cancer risk estimate generated by the Gail Model. The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women). All other elements of the risk presentation are held constant across conditions.
行動：Frequently Asked Questions Exposure
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document. The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician. FAQ items are displayed as expandable questions; participants click to reveal answers. All participants receive the same FAQ document.
実験的：Lifetime Risk AND N-in-1000 Presentation
行動：Risk Presentation Format
Participants receive a personalized breast cancer risk estimate generated by the Gail Model. The format of the estimate varies by random assignment across two dimensions: temporal framing (5-year, 10-year, or lifetime risk) and denominator (risk expressed out of 100 women or out of 1,000 women). All other elements of the risk presentation are held constant across conditions.
行動：Frequently Asked Questions Exposure
Participants receive a personalized breast cancer risk estimate generated by the Gail Model and then view an interactive FAQ document. The FAQ document was developed from qualitative interviews with women who had previously rejected their risk estimates and addresses common questions about how breast cancer risk is calculated, what factors the model does and does not include, what different risk levels mean, and how to discuss results with a physician. FAQ items are displayed as expandable questions; participants click to reveal answers. All participants receive the same FAQ document.

この研究は何を測定していますか？

主要な結果の測定

結果測定
メジャーの説明
時間枠
Risk Skepticism
時間枠：Day 1
Participants' perception of their Gail model risk estimate is trichotomized into three categories: Underestimator (believed risk is lower than estimate), Agreer (believed risk equals estimate), and Overestimator (believed risk is higher than estimate).
Day 1
Risk Perception
時間枠：Day 1
This measure includes two Likert scale questions assessing the perceived likelihood of developing cancer and the level of worry about getting cancer.
Day 1

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

University of Colorado, Denver

協力者

National Cancer Institute (NCI)

捜査官

  • 主任研究者：Laura D Scherer, PhD、University of Colorado, Denver

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (推定)

2026年9月1日

一次修了 (推定)

2027年2月1日

研究の完了 (推定)

2027年4月1日

試験登録日

最初に提出

2026年8月18日

QC基準を満たした最初の提出物

2026年8月26日

最初の投稿 (実際)

2026年8月28日

学習記録の更新

投稿された最後の更新 (実際)

2026年8月28日

QC基準を満たした最後の更新が送信されました

2026年8月26日

最終確認日

2026年8月1日

詳しくは

本研究に関する用語

キーワード

追加の関連 MeSH 用語

その他の研究ID番号

  • 26-1163
  • R01CA279953 (米国 NIH グラント/契約)

個々の参加者データ (IPD) の計画

個々の参加者データ (IPD) を共有する予定はありますか?

はい

IPD プランの説明

The protocol, code books, and data set associated with this study will be shared on the Open Science Framework after ensuring that it is completely anonymized.

IPD 共有時間枠

IPD and supporting information will be made available when the first manuscript is submitted to a journal for review.

IPD 共有アクセス基準

Anyone will be able to access the IPD and supporting information by downloading it from OSF.

IPD 共有サポート情報タイプ

  • STUDY_PROTOCOL
  • SAP
  • ANALYTIC_CODE

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

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