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Design and Pilot Implementation of a Chatbot to Support Breast Cancer Screening Among Black Women

2026年9月29日 更新者:Leah Marcotte、University of Washington

Black women are more likely than White women to be diagnosed at later stages and to die from breast cancer. Increasing breast cancer screening rates could help improve early detection of and survival from breast cancer. To this end, this study seeks to implement and evaluate a culturally tailored chatbot intervention to increase breast cancer screening and address inequities among Black women using community-based research approaches.

We will conduct a pilot randomized quality improvement trial to test the efficacy of a chatbot outreach intervention, which provides breast cancer screening education and direct links to scheduling, on increasing breast cancer screening completion among Black women who receive primary care at the University of Washington (UW) Medicine. We hypothesize that compared to women who receive usual care, women who receive this novel chatbot outreach will have higher breast cancer screening completion rates at 90-days. In addition to quantitative assessment of chatbot effectiveness, we will also qualitatively evaluate chatbot acceptability, feasibility, and message relevance through interviews with a small group of participants about their experiences with the chatbot.

調査の概要

状態

まだ募集していません

条件

介入・治療

詳細な説明

Our study purpose is to evaluate the effectiveness of a culturally tailored chatbot intervention to improve access to mammography scheduling and breast cancer screening (BCS) completion among average risk Black women who receive primary care at the University of Washington (UW) and are due for breast cancer screening.

This is a prospective, pilot randomized controlled trial that will evaluate the effectiveness of an outreach strategy in improving BCS completion via mammography. Individuals eligible for enrollment into the trial will be randomized to the two following interventions:

  1. Arm 1: Chatbot intervention: SMS/text message with breast cancer screening educational and scheduling information; reminder message at 2-weeks.
  2. Arm 2: Control: usual care.

Random assignments will be based on a randomization scheme called Big Stick Design with a maximum tolerated imbalance between groups of 4. This design allows random assignments to be generated in a way that limits the imbalance between arms within strata, while ensuring that the sequence is not predictable based on previous assignments. Randomization will be stratified within arms by 1) age (40-55 years vs. 56-74 years - to account for potential differences in recommendations for mammogram frequency and comfort with technology/chatbots), 2) history of any prior breast cancer screening (prior screener vs. never screener), 3) campaign messaging status (received UW Medicine Population Health breast cancer screening campaign outreach message in August 2026 vs. did not receive outreach message in August 2026).

We plan to stagger the timing of chatbot outreach based on mammogram access in coordination with the UW radiology department. For example, if there are 20 slots available in the next 2 weeks across sites, we may send chatbot outreach to 100 eligible participants (with expected ~20% response rate to successful outreach interventions among people overdue for screening). If there is a delay between randomization and intervention group chatbot outreach (i.e. due to staggering), we will confirm if participants have scheduled mammography in interim and are therefore no longer eligible for study participation before intervention outreach messaging is sent.

Our primary outcome of interest is proportion of participants who completed BCS at 90 days following initial chatbot outreach. Our secondary outcome of interest is proportion of participants who scheduled or completed BCS at 90 days following initial chatbot outreach (i.e. measuring implementation effectiveness). We will also perform a sensitivity analysis measuring both primary and secondary outcomes at 180 days following initial chatbot outreach (i.e. to account for delays in scheduling/outreach).

We will perform intention-to-treat (ITT) analyses. First, we will use the Pearson's chi-square test of homogeneity to assess for statistically significant differences between randomization group and control group mammogram completion rate at 90 days post chatbot outreach (primary outcome), or mammogram scheduling/completion rate at 90 days post chatbot outreach (secondary outcome). We will then conduct a multivariable logistic regression analysis to test the association between randomization group and mammogram completion at 90 days post chatbot outreach (primary outcome), or mammogram scheduling/completion at 90 days post chatbot outreach (secondary outcome), adjusting for individual- (e.g., age, insurance status, patient portal use, primary care visits in last year, previous BCS), clinic- (e.g., clinic group), and system-level characteristics (e.g. campaigns messaging), including stratification factors, to address covariate imbalance between groups and improve precision in the analysis. We will estimate adjusted risk differences from these models using predictive margins.

Finally, we will conduct unadjusted exploratory subgroup analyses. We will explore intervention effect consistency between: 1) participants who use the patient portal and those who do not use the patient portal; 2) participants who receive primary care through a university hospital-based clinic, county hospital-based clinic, or community-based clinic; 3) among intervention group participants who responded to text messages and/or reached scheduling message (i.e. interacted with chatbot) vs. those who did not.

研究の種類

介入

入学 (推定)

873

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

  • 名前:Leah Marcotte, MD, MS
  • 電話番号:206-598-8750
  • メール:leahmar@uw.edu

研究連絡先のバックアップ

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

40年~74年 (大人、高齢者)

健康ボランティアの受け入れ

はい

受講資格のある性別

女性

説明

Inclusion Criteria:

  • Age 40 through 74 years at the time of eligibility assessment.
  • Assigned female at birth.
  • An active UW Medicine primary-care patient and included in the UW Medicine population-health breast cancer screening outreach population.
  • Due for breast cancer screening, defined as having no documented mammogram within the prior 24 months, based on the UW Medicine adaptation of the NCQA HEDIS breast cancer screening measure.
  • Have a mobile phone number on file and opted in to receiving text messages from UW Medicine.
  • Eligible to receive routine breast cancer screening outreach according to UW Medicine clinical and operational criteria.

Exclusion Criteria:

  • History of bilateral mastectomy.
  • EHR diagnosis or indicator of palliative care, advanced illness, or frailty.

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:並列代入
  • マスキング:独身

武器と介入

参加者グループ / アーム
介入・治療
介入なし:Usual care

Patients in this arm may receive breast cancer screening counseling and/or mammogram referral through usual primary care. This could include during primary care visit, patient portal message, phone call or letter.

実験的:Chatbot intervention

Initial chatbot outreach with education and direct mammogram scheduling capability, with one conditional follow-up message at approximately Day 14

Chatbot-based outreach that provides breast cancer screening education, allows participants to learn more about screening, and offers direct mammography scheduling through the chatbot

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
時間枠
Proportion of participants completing BCS 90 days after initial outreach
時間枠:90-days
90-days

二次結果の測定

結果測定
時間枠
Proportion of participants who schedule or complete BCS 90 days after initial outreach
時間枠:90-days
90-days

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

捜査官

  • 主任研究者:Leah Marcotte, MD, MS、University of Washington

出版物と役立つリンク

研究に関する情報を入力する責任者は、自発的にこれらの出版物を提供します。これらは、研究に関連するあらゆるものに関するものである可能性があります。

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10月26日

一次修了 (推定)

2027年3月1日

研究の完了 (推定)

2027年6月1日

試験登録日

最初に提出

2026年9月29日

QC基準を満たした最初の提出物

2026年9月29日

最初の投稿 (実際)

2026年10月5日

学習記録の更新

投稿された最後の更新 (実際)

2026年10月5日

QC基準を満たした最後の更新が送信されました

2026年9月29日

最終確認日

2026年9月1日

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いいえ

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いいえ

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いいえ

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