Trial Outcomes & Findings for A Sociolinguistic-enabled Web Application to Develop Precision Health Intervention for African Americans (NCT NCT04705363)
NCT ID: NCT04705363
Last Updated: 2025-04-18
Results Overview
Measure: Intention to talk to a doctor about colorectal cancer screening. Construct: Behavioral intention to communicate Item: The virtual appointment made me want to discuss colon cancer screening options with my doctor. Participants will respond using three 5-point Likert scales that will be summed. The total score ranges from 3 to 15, with higher scores indicating a greater intention to discuss colorectal cancer screening with a healthcare professional. Mean scores closer to 3 reflect lower intention, while mean scores closer to 15 reflect higher intention.
Recruitment status
COMPLETED
Study phase
NA
Target enrollment
751 participants
Primary outcome timeframe
Immediately after the intervention, up to 1 hour
Results posted on
2025-04-18
Participant Flow
Participant milestones
| Measure |
Text-only
A virtual health assistant that will consist of photos of the computer-generated doctor with text that will guide participants through the interaction. No voice will accompany the photos or text.
Text-only: virtual health assistant that will consist of photos of the computer-generated doctor with text that will guide participants through the interaction. No voice will accompany the photos or text.
|
High Dialectal
A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used high dialectal variation that will guide participants through the interaction.
High Dialectal: A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used high dialectal variation that will guide participants through the interaction.
|
Low Dialectal
A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used low dialectal variation that will guide participants through the interaction.
Low Dialectal: A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used low dialectal variation that will guide participants through the interaction.
|
Non-Dialectal
A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used no dialectal variation that will guide participants through the interaction.
Non-Dialectal: A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used no dialectal variation that will guide participants through the interaction.
|
|---|---|---|---|---|
|
Overall Study
STARTED
|
107
|
214
|
212
|
218
|
|
Overall Study
COMPLETED
|
107
|
214
|
212
|
218
|
|
Overall Study
NOT COMPLETED
|
0
|
0
|
0
|
0
|
Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
A Sociolinguistic-enabled Web Application to Develop Precision Health Intervention for African Americans
Baseline characteristics by cohort
| Measure |
Text-only
n=107 Participants
A virtual health assistant that will consist of photos of the computer-generated doctor with text that will guide participants through the interaction. No voice will accompany the photos or text.
Text-only: virtual health assistant that will consist of photos of the computer-generated doctor with text that will guide participants through the interaction. No voice will accompany the photos or text.
|
High Dialectal
n=214 Participants
A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used high dialectal variation that will guide participants through the interaction.
High Dialectal: A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used high dialectal variation that will guide participants through the interaction.
|
Low Dialectal
n=212 Participants
A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used low dialectal variation that will guide participants through the interaction.
Low Dialectal: A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used low dialectal variation that will guide participants through the interaction.
|
Non-Dialectal
n=218 Participants
A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used no dialectal variation that will guide participants through the interaction.
Non-Dialectal: A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used no dialectal variation that will guide participants through the interaction.
|
Total
n=751 Participants
Total of all reporting groups
|
|---|---|---|---|---|---|
|
Age, Categorical
<=18 years
|
0 Participants
n=99 Participants
|
0 Participants
n=107 Participants
|
0 Participants
n=206 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=31 Participants
|
|
Age, Categorical
Between 18 and 65 years
|
75 Participants
n=99 Participants
|
176 Participants
n=107 Participants
|
158 Participants
n=206 Participants
|
168 Participants
n=7 Participants
|
577 Participants
n=31 Participants
|
|
Age, Categorical
>=65 years
|
32 Participants
n=99 Participants
|
38 Participants
n=107 Participants
|
54 Participants
n=206 Participants
|
50 Participants
n=7 Participants
|
174 Participants
n=31 Participants
|
|
Sex: Female, Male
Female
|
54 Participants
n=99 Participants
|
104 Participants
n=107 Participants
|
108 Participants
n=206 Participants
|
110 Participants
n=7 Participants
|
376 Participants
n=31 Participants
|
|
Sex: Female, Male
Male
|
53 Participants
n=99 Participants
|
110 Participants
n=107 Participants
|
104 Participants
n=206 Participants
|
108 Participants
n=7 Participants
|
375 Participants
n=31 Participants
|
|
Race (NIH/OMB)
American Indian or Alaska Native
|
0 Participants
n=99 Participants
|
0 Participants
n=107 Participants
|
0 Participants
n=206 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=31 Participants
|
|
Race (NIH/OMB)
Asian
|
0 Participants
n=99 Participants
|
0 Participants
n=107 Participants
|
0 Participants
n=206 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=31 Participants
|
|
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
|
0 Participants
n=99 Participants
|
0 Participants
n=107 Participants
|
0 Participants
n=206 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=31 Participants
|
|
Race (NIH/OMB)
Black or African American
|
107 Participants
n=99 Participants
|
214 Participants
n=107 Participants
|
212 Participants
n=206 Participants
|
218 Participants
n=7 Participants
|
751 Participants
n=31 Participants
|
|
Race (NIH/OMB)
White
|
0 Participants
n=99 Participants
|
0 Participants
n=107 Participants
|
0 Participants
n=206 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=31 Participants
|
|
Race (NIH/OMB)
More than one race
|
0 Participants
n=99 Participants
|
0 Participants
n=107 Participants
|
0 Participants
n=206 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=31 Participants
|
|
Race (NIH/OMB)
Unknown or Not Reported
|
0 Participants
n=99 Participants
|
0 Participants
n=107 Participants
|
0 Participants
n=206 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=31 Participants
|
|
Region of Enrollment
United States
|
107 participants
n=99 Participants
|
214 participants
n=107 Participants
|
212 participants
n=206 Participants
|
218 participants
n=7 Participants
|
751 participants
n=31 Participants
|
PRIMARY outcome
Timeframe: Immediately after the intervention, up to 1 hourMeasure: Intention to talk to a doctor about colorectal cancer screening. Construct: Behavioral intention to communicate Item: The virtual appointment made me want to discuss colon cancer screening options with my doctor. Participants will respond using three 5-point Likert scales that will be summed. The total score ranges from 3 to 15, with higher scores indicating a greater intention to discuss colorectal cancer screening with a healthcare professional. Mean scores closer to 3 reflect lower intention, while mean scores closer to 15 reflect higher intention.
Outcome measures
| Measure |
Text-only
n=107 Participants
A virtual health assistant that will consist of photos of the computer-generated doctor with text that will guide participants through the interaction. No voice will accompany the photos or text.
Text-only: virtual health assistant that will consist of photos of the computer-generated doctor with text that will guide participants through the interaction. No voice will accompany the photos or text.
|
High Dialectal
n=214 Participants
A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used high dialectal variation that will guide participants through the interaction.
High Dialectal: A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used high dialectal variation that will guide participants through the interaction.
|
Low Dialectal
n=212 Participants
A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used low dialectal variation that will guide participants through the interaction.
Low Dialectal: A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used low dialectal variation that will guide participants through the interaction.
|
Non-Dialectal
n=218 Participants
A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used no dialectal variation that will guide participants through the interaction.
Non-Dialectal: A virtual health assistant that will consist of an interactive computer-generated doctor with voice that used no dialectal variation that will guide participants through the interaction.
|
|---|---|---|---|---|
|
Intention to Talk to Doctor About Colorectal Cancer Screening
|
11.42 units on a scale
Standard Deviation 3.43
|
11.31 units on a scale
Standard Deviation 3.55
|
11.87 units on a scale
Standard Deviation 3.27
|
11.42 units on a scale
Standard Deviation 3.38
|
Adverse Events
Text-only
Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths
High Dialectal
Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths
Low Dialectal
Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths
Non-Dialectal
Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place