Share2Quit: Web-based peer-driven referrals for smoking cessation

JMIR Research Protocols

Volumn 2, Issue 2, 2013, Pages

  Sadasivam, Rajani S ^a,b   Volz, Erik M ^c   Kinney, Rebecca L ^a   Rao, Sowmya R ^a,b   Houston, Thomas K ^a,b  

^a UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^b VETERANS AFFAIRS MEDICAL CENTER   (United States)

^c UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Peer driven chain referrals; Recruitment; Respondent driven sampling; Web assisted tobacco interventions

Indexed keywords

EID: 84964383898     PISSN: None     EISSN: 19290748     Source Type: Journal    
DOI: 10.2196/resprot.2786     Document Type: Article

References (62)

1. Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990-2020: Global Burden of Disease Study. Lancet 1997 May 24; 349(9064):1498-1504. [doi: 10.1016/S0140-6736(96)07492-2] [Medline: 9167458]
2. Centers for Disease ControlPrevention (CDC). Cigarette smoking among adults-United States, 2000. MMWR Morb Mortal Wkly Rep 2002 Jul 26; 51(29):642-645 [FREE Full text] [Medline: 12186222]
3. Critchley JA, Capewell S. Mortality risk reduction associated with smoking cessation in patients with coronary heart disease: A systematic review. JAMA 2003 Jul 2; 290(1):86-97. [doi: 10.1001/jama.290.1.86] [Medline: 12837716]
4. Fiore MC, Croyle RT, Curry SJ, Cutler CM, Davis RM, Gordon C, et al. Preventing 3 million premature deaths and helping 5 million smokers quit: A national action plan for tobacco cessation. Am J Public Health 2004 Feb; 94(2):205-210. [Medline: 14759928]
5. Fiore C, Jaen CR, Baker TB. Treating Tobacco Use and Dependence: 2008 Update. Tobacco Use and Dependence Guideline PanelURL: http://www.ncbi.nlm.nih.gov/books/NBK63952/[WebCite Cache ID 6HRj0KBa7]
6. Franklyn JA, Sheppard MC. The value of imaging in the diagnosis of thyroid cancer. Nucl Med Commun 1992 Sep; 13(9):641-643. [Medline: 1448235]
7. Lubalin J. Consumer Health Informatics and Patient Decision-Making. In: U.S. Department of Health and Human Services, U.S. Government Printing Office. Rockville, MD: U.S. Government Printing Office; 1997.
8. Bental DS, Cawsey A, Jones R. Patient information systems that tailor to the individual. Patient Educ Couns 1999 Feb; 36(2):171-180. [Medline: 10223021]
9. Ramelson HZ, Friedman RH, Ockene JK. An automated telephone-based smoking cessation education and counseling system. Patient Educ Couns 1999 Feb; 36(2):131-144. [Medline: 10223018]
10. Sciamanna CN, Ford DE, Flynn JA, Langford C. An evidence-based interactive computer program to assist physicians in counseling smokers to quit. MD Comput 1999; 16(5):54-60. [Medline: 10570612]
11. Strecher VJ. Computer-tailored smoking cessation materials: A review and discussion. Patient Educ Couns 1999 Feb; 36(2):107-117. [Medline: 10223016]
12. Ossip-Klein DJ, McIntosh S. Quitlines in North America: Evidence base and applications. Am J Med Sci 2003 Oct; 326(4):201-205. [Medline: 14557735]
13. FDA COnsum. HHS 'Quitline' helps Americans stop smoking. FDA Consum 2005; 39(1):4-5 [FREE Full text] [Medline: 15818793]
14. Lancaster T, Stead LF. Self-help interventions for smoking cessation. Cochrane Database Syst Rev 2005(3):CD001118. [doi: 10.1002/14651858.CD001118.pub2] [Medline: 16034855]
15. Velicer WF, Prochaska JO. An expert system intervention for smoking cessation. Patient Educ Couns 1999 Feb; 36(2):119-129. [Medline: 10223017]
16. Miller CL, Wakefield M, Roberts L. Uptake and effectiveness of the Australian telephone Quitline service in the context of a mass media campaign. Tob Control 2003 Sep; 12 Suppl 2:ii53-ii58 [FREE Full text] [Medline: 12878774]
17. Wadland WC, Holtrop JS, Weismantel D, Pathak PK, Fadel H, Powell J. Practice-based referrals to a tobacco cessation quit line: Assessing the impact of comparative feedback vs general reminders. Ann Fam Med 2007; 5(2):135-142 [FREE Full text] [doi: 10.1370/afm.650] [Medline: 17389537]
18. Patten CA, Smith CM, Brockman TA, Decker PA, Anderson KJ, Hughes CA, et al. Support person intervention to promote smoker utilization of the QUITPLAN Helpline. Am J Prev Med 2008 Dec; 35(6 Suppl):S479-S485. [doi: 10.1016/j.amepre.2008.09.003] [Medline: 19012842]
19. Magnani R, Sabin K, Saidel T, Heckathorn D. Review of sampling hard-to-reach and hidden populations for HIV surveillance. AIDS 2005 May; 19 Suppl 2:S67-S72. [Medline: 15930843]
20. D Heckathorn. Respondent-driven sampling II: Deriving valid population estimates from chain-referral samples of hidden populations. Social Problems 2002; 49:11-34.
21. Broadhead RS, Heckathorn DD, Weakliem DL, Anthony DL, Madray H, Mills RJ, et al. Harnessing peer networks as an instrument for AIDS prevention: Results from a peer-driven intervention. Public Health Rep 1998 Jun; 113 Suppl 1:42-57 [FREE Full text] [Medline: 9722809]
22. Eng E, Parker E, Harlan C. Lay health advisor intervention strategies: A continuum from natural helping to paraprofessional helping. Health Educ Behav 1997 Aug; 24(4):413-417. [Medline: 9247821]
23. Swider SM. Outcome effectiveness of community health workers: An integrative literature review. Public Health Nurs 2002; 19(1):11-20. [Medline: 11841678]
24. Słomczynska M, Zak Z. The effect of riboflavin binding protein (RPB) on flavokinase catalytic activity. Comp Biochem Physiol B 1987; 87(4):681-685. [Medline: 2822344]
25. Obama's Campaign Use of Facebook. URL: http://swampland.time.com/2012/11/20/friended-how-the-obama-campaign-connected-with-young-voters/[accessed 2012-12-10] [WebCite Cache ID 6CoAJGAJj]
26. Perry RJ, Keller PA, Fraser D, Fiore MC. Fax to quit: A model for delivery of tobacco cessation services to Wisconsin residents. WMJ 2005 May; 104(4):37-40, 44 [FREE Full text] [Medline: 16117232]
27. Bernstein SL, Jearld S, Prasad D, Bax P, Bauer U. Rapid implementation of a smokers' quitline fax referral service in an urban area. J Health Care Poor Underserved 2009 Feb; 20(1):55-63. [doi: 10.1353/hpu.0.0112] [Medline: 19202246]
28. Tzelepis F, Paul CL, Walsh RA, Wiggers J, Duncan SL, Knight J. Active telephone recruitment to quitline services: Are nonvolunteer smokers receptive to cessation support? Nicotine Tob Res 2009 Oct; 11(10):1205-1215. [doi: 10.1093/ntr/ntp125] [Medline: 19633278]
29. Willett JG, Hood NE, Burns EK, Swetlick JL, Wilson SM, Lang DA, et al. Clinical faxed referrals to a tobacco quitline: Reach, enrollment, and participant characteristics. Am J Prev Med 2009 Apr; 36(4):337-340. [doi: 10.1016/j.amepre.2008.12.004] [Medline: 19201150]
30. Johnston LG, Malekinejad M, Kendall C, Iuppa IM, Rutherford GW. Implementation challenges to using respondent-driven sampling methodology for HIV biological and behavioral surveillance: Field experiences in international settings. AIDS Behav 2008 Jul; 12(4 Suppl):S131-S141. [doi: 10.1007/s10461-008-9413-1] [Medline: 18535901]
31. Houston TK, Ford DE. A tailored Internet-delivered intervention for smoking cessation designed to encourage social support and treatment seeking: Usability testing and user tracing. Inform Health Soc Care 2008 Mar; 33(1):5-19. [doi: 10.1080/14639230701842240] [Medline: 18604759]
32. Sadasivam RS, Allison JJ, Ray MN, Ford DE, Houston TK. Using a resource effect study pre-pilot to inform a large randomized trial: The Decide2Quit.Org Web-assisted tobacco intervention. AMIA Annu Symp Proc 2012; 2012:789-798 [FREE Full text] [Medline: 23304353]
33. Sadasivam RS, Kinney RL, Delaughter K, Rao SR, Williams JH, Coley HL, National Dental PBRN Group, QUIT-PRIMO Collaborative Group. Who participates in Web-assisted tobacco interventions? The QUIT-PRIMO and National Dental Practice-Based Research Network Hi-Quit studies. J Med Internet Res 2013; 15(5):e77 [FREE Full text] [doi: 10.2196/jmir.2385] [Medline: 23635417]
34. Erickson BH. Some problems of inference from chain data. Sociological Methodology 1979; 302
35. Heckathorn DD. Respondent-Driven Sampling II: Deriving Valid Population Estimates from Chain-Referral Samples of Hidden Populations. Social Problems 2002; 49:11-34.
36. Goel S, Salganik MJ. Assessing respondent-driven sampling. Proc Natl Acad Sci U S A 2010 Apr 13; 107(15):6743-6747 [FREE Full text] [doi: 10.1073/pnas.1000261107] [Medline: 20351258]
37. Pechenick DA, Payne JL, Moore JH. The influence of assortativity on the robustness of signal-integration logic in gene regulatory networks. J Theor Biol 2012 Mar 7; 296:21-32 [FREE Full text] [doi: 10.1016/j.jtbi.2011.11.029] [Medline: 22155134]
38. Kotz S, Read CB, Banks DL. Kotz, N. In: Encyclopedia of statistical sciences. New York: Wiley; 1997-c1999.
39. Volz EM, Heckathorn DD. Probability Based Estimation Theory for Respondent Driven Sampling. Journal of Official Statistics 2008; 24.
40. Volz EM. http://code.google.com/p/rdssimulator/. 2010. Respondent Driven Sampling SimulatorURL: http://code.google.com/p/rdssimulator/[accessed 2012-12-10] [WebCite Cache ID 6CoANebla]
41. Bauermeister, T. Glowacki, E. M. Volz, et al. Innovative recruitment using youth online networks: Lessons learned in the development and implementation of a web-based respondent driven (webrds) sample. 2011 na Presented at: New Media, Youth, and Sexual Health IV; 2011; San Francisco, CA.
42. Tomas J, Gile KJ. The Effect of Differential Recruitment: Non-response and Non-recruitment on Estimators for Respondent-Driven Sampling. arXiv:1012.4122 [stat.AP] 2010; PMID:4122.
43. McCarty C, Killworth PD, Bernard HR. Comparing two methods for estimating network size. Bureau of Economic and Business Research, Human Organization 2001; 60.
44. Agile Programming Methodology. 2010. URL: http://agileprogramming.org/
45. Kushniruk AW, Patel VL. Cognitive computer-based video analysis: Its application in assessing the usability of medical systems. Medinfo 1995; 8 Pt 2:1566-1569. [Medline: 8591502]
46. Kushniruk AW. Analysis of complex decision-making processes in health care: Cognitive approaches to health informatics. J Biomed Inform 2001 Oct; 34(5):365-376. [doi: 10.1006/jbin.2001.1021] [Medline: 12123153]
47. Morae Software. 2013 Jun 06. URL: http://www.techsmith.com/morae.asp
48. Choi J, Bakken S. Heuristic evaluation of a Web-based Educational Resource for low literacy NICU parents. Stud Health Technol Inform 2006; 122:194-199. [Medline: 17102247]
49. Yen PY, Bakken S. Usability testing of a web-based tool for managing open shifts on nursing units. Stud Health Technol Inform 2009; 146:81-85 [FREE Full text] [Medline: 19592813]
50. Dixon-Woods M, Agarwal S, Jones D, Young B, Sutton A. Synthesising qualitative and quantitative evidence: A review of possible methods. J Health Serv Res Policy 2005 Jan; 10(1):45-53. [Medline: 15667704]
51. Fairbank L, O'Meara S, Renfrew MJ, Woolridge M, Sowden AJ, Lister-Sharp D. A systematic review to evaluate the effectiveness of interventions to promote the initiation of breastfeeding. Health Technol Assess 2000; 4(25):1-171 [FREE Full text] [Medline: 11111103]
52. Berkman LF, Syme SL. Social networks, host resistance, and mortality: A nine-year follow-up study of Alameda County residents. Am J Epidemiol 1979 Feb; 109(2):186-204. [Medline: 425958]
53. Härtel U, Stieber J, Keil U. Social relations and smoking behavior: Results from the first MONICA Survey Augsburg. Soz Praventivmed 1988; 33(1):27-31. [Medline: 3376576]
54. CDC. Behavioral Surveillance Team NCHSTP/DHAP-SE/BCSB. Centers for Disease Control: NHBS-IDU and NHBS-HET Model Surveillance Protocol; 2005 Apr. National HIV Behavioral Surveillance Among Injecting Drug Users (NHBS-IDU)URL: http://www.cdc.gov/hiv/bcsb/nhbs/
55. Hamilton CM, Strader LC, Pratt JG, Maiese D, Hendershot T, Kwok RK, et al. The PhenX Toolkit: Get the most from your measures. Am J Epidemiol 2011 Aug 1; 174(3):253-260 [FREE Full text] [doi: 10.1093/aje/kwr193] [Medline: 21749974]
56. Number Cruncher Statistical Systems, ". Kaysville, UT: NCSS, LLC; 2004. NCSS Statistical Software, PASSURL: http://www.ncss.com/
57. Graham AL, Cobb NK, Papandonatos GD, Moreno JL, Kang H, Tinkelman DG, et al. A randomized trial of Internet and telephone treatment for smoking cessation. Arch Intern Med 2011 Jan 10; 171(1):46-53 [FREE Full text] [doi: 10.1001/archinternmed.2010.451] [Medline: 21220660]
58. Yahoo news. 2013. Number of active users at Facebook over the yearsURL: http://news.yahoo.com/number-active-users-facebook-over-230449748.html [accessed 2013-06-20] [WebCite Cache ID 6HWINIu6s]
59. 50 Fascinating Facebook Facts And Figures. Available:URL: http://www.jeffbullas.com/2011/04/28/50-fascinating-facebook-facts-and-figures/[accessed 2013-06-20] [WebCite Cache ID 6HWJM6LD5]
60. Morpace Reports: Facebook's Impact on Retailers. 2013 May 16. URL: http://www.prnewswire.com/news-releases/morpace-reports-facebooks-impact-on-retailers-89590997.html [accessed 2013-06-20] [WebCite Cache ID 6HWIcf79b]
61. Survey: Marketing on Facebook may offer retailers competitive advantages. 2013 May 16. URL: http://www. chainstoreage.com/article/survey-marketing-facebook-may-offer-retailers-competitive-advantages [accessed 2013-06-20] [WebCite Cache ID 6HWIXEo7K]
62. Morspace Omnibus Reports. 2010. Available:URL: http://www.morpace.com/Omnibus-Reports/Omnibus%20Report-Facebooks%20Impact%20on%20Retailers.pdf [accessed 2013-06-20] [WebCite Cache ID 6HWJk8Kgy]