Study of the Diffusion of a Smoking Cessation Application Through an Online Network

March 14, 2016 updated by: Truth Initiative

Online Social Networks for Dissemination of Smoking Cessation Interventions

Effective evidence-based interventions exist for smoking cessation delivered over the Internet, but consumer acceptance and adherence remains low. Scalable and efficient mechanisms to disseminate these interventions online are needed, and existing online social networks provide a potential mechanism. This is a proposal for a randomized, factorial trial of the dissemination of an evidence-based intervention through the massive Facebook social network, with the goal of determining intervention characteristics that drive viral spread.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

11413

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • District of Columbia
      • Washington, District of Columbia, United States, 20001
        • Truth Initiative

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Facebook user
  • Age 18 years or older
  • Entered UbiQUITous Facebook Application
  • Confirms smoker status
  • U.S. resident

Exclusion Criteria:

  • Non-smoker
  • Under 18 years old
  • Non-U.S. resident
  • Non-Facebook advertisement point of entry

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Allocation: Randomized
  • Interventional Model: Factorial Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: 2 - B-passive
Behavioral: Facebook app - condition B-passive
Application components hypothesized to increase the contagiousness of the app by increasing the passive diffusion of information from the user to their friends.
Other Names:
  • Bp
Experimental: 3 - B-active
Behavioral: Facebook app - condition B-active
Application components hypothesized to increase the contagiousness of the app by increasing a users ability and desire to proactively contact others.
Other Names:
  • Ba
Experimental: 4 - B-active, B-passive
Behavioral: Facebook app - condition B-passive
Application components hypothesized to increase the contagiousness of the app by increasing the passive diffusion of information from the user to their friends.
Other Names:
  • Bp
Behavioral: Facebook app - condition B-active
Application components hypothesized to increase the contagiousness of the app by increasing a users ability and desire to proactively contact others.
Other Names:
  • Ba
Experimental: 6 - z, B-passive
Behavioral: Facebook app - condition B-passive
Application components hypothesized to increase the contagiousness of the app by increasing the passive diffusion of information from the user to their friends.
Other Names:
  • Bp
Behavioral: Facebook app - condition z
Application components hypothesized to increase the number of friends that a user has that are eligible to install the application.
Experimental: 7 - z, B-active
Behavioral: Facebook app - condition B-active
Application components hypothesized to increase the contagiousness of the app by increasing a users ability and desire to proactively contact others.
Other Names:
  • Ba
Behavioral: Facebook app - condition z
Application components hypothesized to increase the number of friends that a user has that are eligible to install the application.
Experimental: 8 - z, B-active, B-passive
Behavioral: Facebook app - condition B-passive
Application components hypothesized to increase the contagiousness of the app by increasing the passive diffusion of information from the user to their friends.
Other Names:
  • Bp
Behavioral: Facebook app - condition B-active
Application components hypothesized to increase the contagiousness of the app by increasing a users ability and desire to proactively contact others.
Other Names:
  • Ba
Behavioral: Facebook app - condition z
Application components hypothesized to increase the number of friends that a user has that are eligible to install the application.
Experimental: 10 - t, B-passive
Behavioral: Facebook app - condition B-passive
Application components hypothesized to increase the contagiousness of the app by increasing the passive diffusion of information from the user to their friends.
Other Names:
  • Bp
Behavioral: Facebook app - condition t
Application components hypothesized to increase the duration (t, time) that a participant spends using the application.
Experimental: 11 - t, B-active
Behavioral: Facebook app - condition B-active
Application components hypothesized to increase the contagiousness of the app by increasing a users ability and desire to proactively contact others.
Other Names:
  • Ba
Behavioral: Facebook app - condition t
Application components hypothesized to increase the duration (t, time) that a participant spends using the application.
Experimental: 12 - t, B-active, B-passive
Behavioral: Facebook app - condition B-passive
Application components hypothesized to increase the contagiousness of the app by increasing the passive diffusion of information from the user to their friends.
Other Names:
  • Bp
Behavioral: Facebook app - condition B-active
Application components hypothesized to increase the contagiousness of the app by increasing a users ability and desire to proactively contact others.
Other Names:
  • Ba
Behavioral: Facebook app - condition t
Application components hypothesized to increase the duration (t, time) that a participant spends using the application.
Experimental: 14 - t, z
Behavioral: Facebook app - condition z
Application components hypothesized to increase the number of friends that a user has that are eligible to install the application.
Behavioral: Facebook app - condition t
Application components hypothesized to increase the duration (t, time) that a participant spends using the application.
Experimental: 15 - t, z, B-active
Behavioral: Facebook app - condition B-active
Application components hypothesized to increase the contagiousness of the app by increasing a users ability and desire to proactively contact others.
Other Names:
  • Ba
Behavioral: Facebook app - condition z
Application components hypothesized to increase the number of friends that a user has that are eligible to install the application.
Behavioral: Facebook app - condition t
Application components hypothesized to increase the duration (t, time) that a participant spends using the application.
Experimental: 16 - t, z, B-active, B-passive
Behavioral: Facebook app - condition B-passive
Application components hypothesized to increase the contagiousness of the app by increasing the passive diffusion of information from the user to their friends.
Other Names:
  • Bp
Behavioral: Facebook app - condition B-active
Application components hypothesized to increase the contagiousness of the app by increasing a users ability and desire to proactively contact others.
Other Names:
  • Ba
Behavioral: Facebook app - condition z
Application components hypothesized to increase the number of friends that a user has that are eligible to install the application.
Behavioral: Facebook app - condition t
Application components hypothesized to increase the duration (t, time) that a participant spends using the application.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Reproductive rate
Time Frame: 30 days
The investigators will measure the reproductive rate for each condition, in other words the average number of additional individuals that install the application for each original individual recruited to participate. Higher reproductive rates indicate more efficient and faster dissemination.
30 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Truth Initiative

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

December 1, 2012

Primary Completion (Actual)

October 1, 2013

Study Completion (Actual)

October 1, 2014

Study Registration Dates

First Submitted

December 3, 2012

First Submitted That Met QC Criteria

December 10, 2012

First Posted (Estimate)

December 11, 2012

Study Record Updates

Last Update Posted (Estimate)

March 15, 2016

Last Update Submitted That Met QC Criteria

March 14, 2016

Last Verified

March 1, 2015

More Information

Terms related to this study

Other Study ID Numbers

  • 1R01CA155369-01A1 (U.S. NIH Grant/Contract)

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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