Developing Smokers for Smoker (S4S): A Collective Intelligence Tailoring System
S4S
2 other identifiers
interventional
260
1 country
1
Brief Summary
This study will advance computer tailoring by adapting machine learning collective intelligence algorithms that have been used outside healthcare by companies like Amazon and Google to enhance the personal relevance of the health communication.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jan 2017
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 9, 2014
CompletedFirst Posted
Study publicly available on registry
October 15, 2014
CompletedStudy Start
First participant enrolled
January 11, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 28, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
June 28, 2020
CompletedOctober 8, 2020
October 1, 2020
12 months
October 9, 2014
October 6, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Repeated Use of website measure
This measure is an ordinal scale of the number of functions used after the first visit to the Decide2Quit.org website (0: use of no functions, 1: use of 1-2 functions, 2: use of 2-4 functions, see Table 9 list of functions). We will use scripts on the website to assess this information
Every Login for 6 months
Secondary Outcomes (1)
30-day point prevalent smoking cessation at six months
At 6 months
Study Arms (2)
Collective-Intelligence computer tailored health communication
EXPERIMENTALSmokers will have access to all Decide2quit.org website functions and will receive 4 tailored emails per week based on a collective intelligence recommender systems algorithm for up to 6 months
Rule-based computer tailored health communication
ACTIVE COMPARATORSmokers will have access to all Decide2quit.org website functions and will receive 4 tailored emails per week based on a rule-based algorithm for up to 6 months
Interventions
Eligibility Criteria
You may qualify if:
- Current Smokers
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Massachusetts, Worcesterlead
- University of Massachusetts, Amherstcollaborator
- National Cancer Institute (NCI)collaborator
Study Sites (1)
UMass Medical School
Worcester, Massachusetts, 01605, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Rajani S Sadasivam, PhD
UMass Medical School
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
October 9, 2014
First Posted
October 15, 2014
Study Start
January 11, 2017
Primary Completion
December 28, 2017
Study Completion
June 28, 2020
Last Updated
October 8, 2020
Record last verified: 2020-10