Clinical trial · Observational
Design of Chatbot Persona for Breast Cancer Screening Outreach Among Black Women
Human Centered Design Approach to Eliminating Disparities in Breast Cancer Screening
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Breast cancer screening disparities among Black women persist despite health system recognition and outreach. However, current evidence on how to tailor and optimize implementation strategies for breast cancer screening outreach is limited. The proposed study is part of a larger project to design a chatbot for breast cancer screening outreach to Black women and will focus on optimizing the chatbot persona. Using the Multiphase Optimization Strategy (MOST) framework, the investigators will conduct a randomized factorial experiment to assess the individual components of chatbot persona for breast cancer screening and identify which components have the greatest effect on trust and engagement for Black women. This information will guide the design of an optimized chatbot intervention that achieves the primary outcomes.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (4)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Communication Style: Direct | Other | — | UNRESOLVED |
| Communication Style: Indirect | Other | — | UNRESOLVED |
| Persona: Breast cancer survivor | Other | — | UNRESOLVED |
| Persona: Primary care doctor | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (5)
- label
- Group 1
- description
- Primary care doctor persona with direct messages
- interventionNames
- Other: Persona: Primary care doctor
- Other: Communication Style: Direct
- label
- Group 2
- description
- Breast cancer survivor persona with direct messages
- interventionNames
- Other: Persona: Breast cancer survivor
- Other: Communication Style: Direct
- label
- Group 3
- description
- Primary care doctor with indirect messages
- interventionNames
- Other: Persona: Primary care doctor
- Other: Communication Style: Indirect
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 40 Years
- Maximum age
- 74 Years
Show eligibility criteria text
Inclusion Criteria: All women who are 40-74 years old: * who identify as Black Exclusion Criteria: * Participants who do not complete the survey * Participants who complete the survey in less than half the normal average time * Participants who do not pass the attention check
References
Publications (1)
- DERIVEDLangevin R, Kalidindi P, Arriaga K, Kyle RP, Akande S, Hsieh G, Marcotte LM. A randomized factorial experiment to optimize the design of a culturally tailored breast cancer screening outreach chatbot intervention. Front Digit Health. 2026 Apr 22;8:1720531. doi: 10.3389/fdgth.2026.1720531. eCollection 2026. PMID 42099928