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Maternal and Child Health Journal

, Volume 22, Issue 6, pp 822–829 | Cite as

Motivating Smoking Cessation Text Messages: Perspectives from Pregnant Smokers

  • Jennifer M. Schindler-RuwischEmail author
  • Leah E. Leavitt
  • Laura E. Macherelli
  • Monique M. Turner
  • Lorien C. Abroms
Article

Abstract

Objectives

The purpose of this research is to analyze cessation text-messages written by pregnant smokers to elucidate the target population’s preferred content and message attributes. To achieve this goal, the objectives of this study are three-fold; to qualitatively code messages written by pregnant smokers for frame, type of appeal, and intended target.

Methods

Study participants were recruited as part of a larger trial of pregnant smokers who were enrolled in a text-messaging program or control group and surveyed 1 month post-enrollment. Each participant was asked to write a brief message to another pregnant smoker and two independent coders qualitatively analyzed responses.

Results

User generated messages (N = 51) were equally loss and gain framed, and the most common appeals were: fear, guilt, cognitive, hope and empathy, in order of most to least frequent. The target of the majority of the messages was the baby.

Conclusions for Practice

Allowing pregnant smokers to write cessation text-messages for other pregnant women can provide relevant insight into intervention content. Specifically, pregnant smokers appear to equally promote gain and loss frames, but may prefer messages that include components of fear and guilt related to the impact of smoking on their baby. Additional research is needed to systematically uncover perspectives of pregnant smokers to ensure interventions are optimally effective.

Keywords

Tobacco Cessation Pregnancy mHealth 

Notes

Acknowledgements

This work was partially funded by a Grant from the National Institutes of Health (R15-CA167586).

Compliance with Ethical Standards

Conflict of interest

The authors declare they have no conflicts of interest.

Supplementary material

10995_2018_2452_MOESM1_ESM.docx (22 kb)
Supplementary material 1 (DOCX 21 KB)

References

  1. Aaker, J. L., & Williams, P. (1998). Empathy versus pride: The influence of emotional appeals across cultures. Journal of Consumer Research, 25(3), 241–261.CrossRefGoogle Scholar
  2. Abroms, L. C., Johnson, P. R., Heminger, C. L., Van Alstyne, J. M., Leavitt, L. E., Schindler-Ruwisch, J. M., & Bushar, J. A. (2015). Quit4baby: Results from a pilot test of a mobile smoking cessation program for pregnant Women. JMIR mHealth and uHealth, 3(1), e10.  https://doi.org/10.2196/mhealth.3846.CrossRefPubMedPubMedCentralGoogle Scholar
  3. Biener, L., Ji, M., Gilpin, E. A., & Albers, A. B. (2004). The impact of emotional tone, message, and broadcast parameters in youth anti-smoking advertisements. Journal of Health Communication, 9(3), 259–274.CrossRefPubMedGoogle Scholar
  4. Biener, L., & Taylor, T. M. (2002). The continuing importance of emotion in tobacco control media campaigns: A response to Hastings and MacFadyen. Tobacco Control, 11(1), 75–77.CrossRefPubMedPubMedCentralGoogle Scholar
  5. Cooper, S., Foster, K., Naughton, F., Leonardi-Bee, J., Sutton, S., & Coleman, T. (2015). Pilot study to evaluate a tailored text message intervention for pregnant smokers (MiQuit): Study protocol for a randomized controlled trial. Trials, 16(1), 29.  https://doi.org/10.1186/s13063-014-0546-4.CrossRefPubMedPubMedCentralGoogle Scholar
  6. Fiore, M. C., Jaen, C. R., Baker, T. B., Bailey, W. C., Benowtiz, N. L., Curry, S. J., & Wewers, M. E. (2008). Treating tobacco use and dependence: 2008 update. Retrieved from http://bphc.hrsa.gov/buckets/treatingtobacco.pdf.
  7. Flemming, K., Graham, H., Heirs, M., Fox, D., & Sowden, A. (2013). Smoking in pregnancy: A systematic review of qualitative research of women who commence pregnancy as smokers. Journal of Advanced Nursing, 69(5), 1023–1036.  https://doi.org/10.1111/jan.12066.CrossRefPubMedGoogle Scholar
  8. Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009). Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42(2), 377–381.CrossRefPubMedGoogle Scholar
  9. Head, K. J., Noar, S. M., Iannarino, N. T., & Harrington, N. G. (2013). Efficacy of text messaging-based interventions for health promotion: A meta-analysis. Social Science & Medicine, 97, 41–48.CrossRefGoogle Scholar
  10. Ilakkuvan, V., Turner, M. M., Cantrell, J., Hair, E., & Vallone, D. (2016). The relationship between advertising-induced anger and self-efficacy on persuasive outcomes: A test of the anger activism model using the truth campaign. Family & Community Health, 40(1), 72–80.CrossRefGoogle Scholar
  11. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263–291.CrossRefGoogle Scholar
  12. Kahneman, D., & Tversky, A. (1982). The psychology of preferences. Scientific American, 246, 160–173.CrossRefGoogle Scholar
  13. Moorman, M., & van den Putte, B. (2008). The influence of message framing, intention to quit smoking, and nicotine dependence on the persuasiveness of smoking cessation messages. Addictive Behaviors, 33(10), 1267–1275.CrossRefPubMedGoogle Scholar
  14. Nabi, R. L. (2002). Discrete emotions and persuasion. The persuasion handbook: Developments in theory and practice, Thousand Oaks: Sage Publications, p. 308.Google Scholar
  15. National Cancer Institute. (2015). SmokefreeMOM: About. Retrieved from: http://women.smokefree.gov/smokefreemom.aspx.
  16. National Institutes of Health. (2015). SmokefreeMOM: Reaching pregnant smokers with health information via text messaging. Retrieved from: https://clinicaltrials.gov/ct2/show/NCT02412956?term=SmokefreeMOM&rank=1.Google Scholar
  17. Naughton, F., Prevost, A. T., Gilbert, H., & Sutton, S. (2012). Randomized controlled trial evaluation of a tailored leaflet and SMS text message self-help intervention for pregnant smokers (MiQuit). Nicotine & Tobacco Research, 14(5), 569–577.CrossRefGoogle Scholar
  18. O’Keefe, D. J., & Jensen, J. D. (2007). The relative persuasiveness of gain-framed loss-framed messages for encouraging disease prevention behaviors: A meta-analytic review. Journal of Health Communication, 12(7), 623–644.CrossRefPubMedGoogle Scholar
  19. Office of Disease Prevention and Health Promotion. (2015). Healthy People 2020: Maternal, infant, and child health. Retrieved from: http://www.healthypeople.gov/2020/topics-objectives/topic/maternal-infant-and-child-health/objectives.
  20. Pew Research Center (2015a). Mobile Technology Fact Sheet. Retrieved from: http://www.pewinternet.org/fact-sheets/mobile-technology-fact-sheet/.
  21. Polen, K. N. D., Sandhu, P. K., Honein, M. A., Green, K. K., Berkowitz, J. M., Pace, J., & Rasmussen, S. A. (2014). Knowledge and attitudes of adults towards smoking in pregnancy: Results from the HealthStyles© 2008 survey. Maternal and Child Health Journal.  https://doi.org/10.1007/s10995-014-1505-0.Google Scholar
  22. Pollack, K. I., Lyna, P., Bilheimer, A., Farrell, D., Gao, X., Swamy, G. K., & Fish, L. J. (2013). A pilot study testing SMS text delivered scheduled gradual reduction to pregnant smokers. Nicotine and Tobacco Research, 15(10), 1773–1776.CrossRefGoogle Scholar
  23. StataCorp. (2013). Stata Statistical Software: Release 13. College Station, TX: StataCorp LP.Google Scholar
  24. Stotts, A. L., DiClemente, C. C., & Dolan-Mullen, P. (2002). One-to-one: A motivational intervention for resistant pregnant smokers. Addictive Behaviors, 27(2), 275–292.CrossRefPubMedGoogle Scholar
  25. Toll, B. A., Salovey, P., O’Malley, S. S., Mazure, C. M., Latimer, A., & McKee, S. A. (2008). Message framing for smoking cessation: The interaction of risk perceptions and gender. Nicotine & Tobacco Research, 10(1), 195–200.CrossRefGoogle Scholar
  26. Tong, V. T., Dietz, P. M., Morrow, B., D’Angelo, D. V., Farr, S. L.… England, L. J. (2013). Trends in smoking before, during and after pregnancy—pregnancy risk assessment monitoring system, United States, 40 Sites, 2000–2010. Morbidity and Mortality Weekly Report, 62 (SS06), 1–19. Retrieved from: http://www.cdc.gov/mmwr/preview/mmwrhtml/ss6206a1.htm?s_cid%3Dss6206a1_x#Tab2.
  27. Turner, M. M., Boudewyns, V., Kirby-Straker, R., & Telfer, J. (2013). A double dose of fear: A theory-based content analysis of news articles surrounding the 2006 cough syrup contamination crisis in panama. Risk Management, 15(2), 79–99.  https://doi.org/10.1057/rm.2012.13.CrossRefGoogle Scholar
  28. Turner, M. M. (in press). Guilt and shame. In R. Parrott (Ed.), Oxford research encyclopedia of communication. Oxford: Oxford University Press.Google Scholar
  29. Turner, M. M., Mabry-Flynn, A., Shen, H., Jiang, H., Boudewyns, V., & Payne, D. (2017). The effects of guilt appeal intensity on persuasive and emotional outcomes: The moderating role of sponsor motive. Journal of Nonprofit & Public Sector Marketing, 0, 1–17.CrossRefGoogle Scholar
  30. Tverksy, A., & Kahneman, K. (1981). The framing of decisions and the psychology of choice. Science, 211, 453–458.CrossRefGoogle Scholar
  31. U.S. Department of Health and Human Services (2014). The health consequences of smoking: 50 years of progress. A report of the surgeon general. Chapter 9: Reproductive outcomes. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health.Google Scholar
  32. Underhill, J. C. (2012). Examining the effects of hope and fear appeals on cognitive processing (Doctoral dissertation). Digital repository at the University of Maryland. Retrieved from: http://drum.lib.umd.edu/handle/1903/13196.
  33. Van Mierlo, T., Fournier, R., Jean-Charles, A., Hovington, J., Ethier, I., & Selby, P. (2014). I’ll Txt U if i have a problem: How the Socie ́te ́ Canadienne du Cancer in Quebec applied behavior-change theory, data mining and agile software development to help young adults quit smoking. PloS ONE, 9(3), e91832.  https://doi.org/10.1371/journal.pone.0091832.CrossRefPubMedPubMedCentralGoogle Scholar
  34. Witte, K., & Allen, M. (2000). A meta-analysis of fear appeals: Implications for effective public health campaigns. Health Education & Behavior, 27(5), 591–615.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Jennifer M. Schindler-Ruwisch
    • 1
    Email author
  • Leah E. Leavitt
    • 1
  • Laura E. Macherelli
    • 1
  • Monique M. Turner
    • 1
  • Lorien C. Abroms
    • 1
  1. 1.Department of Prevention & Community HealthThe George Washington UniversityWashingtonUSA

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