Publication

Web-based peer-driven chain referrals for smoking cessation

Sadasivam, Rajani S
Cutrona, Sarah L
Volz, Erik
Rao, Sowmya R.
Houston, Thomas K.
Embargo Expiration Date
Abstract

BACKGROUND: We are testing web-based respondent-driven sampling (RDS) chain referrals to recruit smokers to the Decide2Quit.org (D2Q) web-assisted tobacco intervention.

METHODS: Using an online survey of smokers, we assessed the potential of recruiting 1200 smokers in 9 months using RDS chain referrals. RDS is a complex sample design, and many factors can influence its success. We conducted simulations to determine the design of optimal RDS chains.

RESULTS: Smokers (n=48) were mostly female (72%) and between ages 30-60 (82%). Estimation of smokers in their network: 1-5 (40%), 6-10 (24%), and 10-20 (22%), with mean number of intimate family (2.2, SD=2.1) and close friend smokers (3.7, SD=3.8). Most smokers (82%) were willing to refer to D2Q and thought their friends (mean=5.0, SD=4.4, range=0-20) would be open to referral. Simulations suggested that with a quota of 3 and 10 seeds, 99.9% of the sample would be achieved in 107 days if the acceptance probability was 0.5. Acceptance probability of 25% would necessitate an increased quota.

CONCLUSIONS: Our study suggests that it is possible to recruit smokers using RDS.

Source

Stud Health Technol Inform. 2013;192:357-61.

Year of Medical School at Time of Visit
Sponsors
Dates of Travel
DOI
10.3233/978-1-61499-289-9-357
PubMed ID
23920576
Other Identifiers
Notes
Funding and Acknowledgements
Corresponding Author
Related Resources
Related Resources
Repository Citation
Rights
Distribution License