NCT05472064

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
550

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Aug 2022

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 10, 2022

Completed
2 months until next milestone

First Posted

Study publicly available on registry

July 25, 2022

Completed
28 days until next milestone

Study Start

First participant enrolled

August 22, 2022

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 27, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 27, 2022

Completed
Last Updated

May 16, 2023

Status Verified

May 1, 2023

Enrollment Period

4 months

First QC Date

June 10, 2022

Last Update Submit

May 13, 2023

Conditions

Breast Cancer

Keywords

Breast cancer screeningHealthcare disparitiesChatbotMultiphase optimization strategy (MOST)

Outcome Measures

Primary Outcomes (2)

  • Trust

    The human-computer trust scale assesses user trust, which is based on similar constructs of trust (benevolence, competence, reciprocity, perceived risk). 7 of the 12 items were selected which use a 5-point Likert scale from 'Strongly disagree' to 'Strongly agree'.

    Day 1

  • Intention to Use

    This measure assesses likelihood to use this system to schedule a mammogram in the future, and is scored on a 5-point Likert scale from 'Very unlikely' to 'Very likely'.

    Day 1

Secondary Outcomes (4)

  • Engagement

    Day 1

  • Directness

    Day 1

  • Expertness and Homophily

    Day 1

  • Self-brand connection

    Day 1

Study Arms (5)

Group 1

Primary care doctor persona with direct messages

Other: Persona: Primary care doctorOther: Communication Style: Direct

Group 2

Breast cancer survivor persona with direct messages

Other: Persona: Breast cancer survivorOther: Communication Style: Direct

Group 3

Primary care doctor with indirect messages

Other: Persona: Primary care doctorOther: Communication Style: Indirect

Group 4

Breast cancer survivor persona with indirect messages

Other: Persona: Breast cancer survivorOther: Communication Style: Indirect

Group 5

Control

Interventions

Persona: Primary care doctorOTHER

The chatbot persona is a Black woman who is a primary care doctor.

Group 1Group 3
Persona: Breast cancer survivorOTHER

The chatbot persona is a Black woman who is a breast cancer survivor.

Group 2Group 4
Communication Style: DirectOTHER

The chatbot messages are characterized by commands and direct addresses (''you'').

Group 1Group 2
Communication Style: IndirectOTHER

The chatbot messages are characterized by subjunctive modal verb forms (''would like'') and cooperative addresses (''we", "let's").

Group 3Group 4

Eligibility Criteria

Age40 Years - 74 Years
Sexfemale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Black or African American women between the ages of 40-74 years old and residing in the United States.

You may qualify if:

  • All women who are 40-74 years old:
  • who identify as Black

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of Washington Medical Center

Seattle, Washington, 98105, United States

Location

MeSH Terms

Conditions

Breast Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by SiteNeoplasmsBreast DiseasesSkin DiseasesSkin and Connective Tissue Diseases

Study Officials

  • Leah Marcotte, MD

    University of Washington

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor, School of Medicine

Study Record Dates

First Submitted

June 10, 2022

First Posted

July 25, 2022

Study Start

August 22, 2022

Primary Completion

December 27, 2022

Study Completion

December 27, 2022

Last Updated

May 16, 2023

Record last verified: 2023-05

Locations

US(1)