Dose-response effects of the text4baby mobile health program: randomized controlled trial

William Evans, Peter E Nielsen, Daniel R Szekely, Jasmine W Bihm, Elizabeth A Murray, Jeremy Snider, Lorien C Abroms, William Evans, Peter E Nielsen, Daniel R Szekely, Jasmine W Bihm, Elizabeth A Murray, Jeremy Snider, Lorien C Abroms

Abstract

Background: Mobile health (mHealth) is growing rapidly, but more studies are needed on how to optimize programs, including optimal timing of messaging, dose of exposure, and value of interactive features. This study evaluates final outcomes of text4baby (a text message service for pregnant and postpartum women) from a randomized trial performed in a population of pregnant female soldiers and family members.

Objective: The study aims were to evaluate (1) treatment effects and (2) dose-response effects of text4baby on behavioral outcomes compared to control (no text4baby) condition.

Methods: The study was a randomized trial of text4baby at Madigan Army Medical Center. Female military health beneficiaries who met inclusion criteria were eligible for the study. Participants provided consent, completed a baseline questionnaire, and then were randomized to enroll in text4baby or not. They were followed up at 3 time points thereafter through delivery of their baby. Generalized estimating equation models were used to evaluate outcomes. We examined treatment effects and the effects of higher doses of text4baby messages on outcomes.

Results: We report descriptive statistics including dosage of text messages delivered. The main finding was a significant effect of high exposure to text4baby on self-reported alcohol consumption postpartum (OR 0.212, 95% CI 0.046-0.973, P=.046), as measured by the question "Since you found out about your pregnancy, have you consumed alcoholic beverages?" The text4baby participants also reported lower quantities of alcohol consumed postpartum.

Conclusions: Studies of text4baby have helped to build the mHealth evidence base. The effects of text4baby offer lessons for future scalable mHealth programs and suggest the need to study dose-response effects of these interventions.

Keywords: health communication; mobile health; prenatal health care.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Screenshot of You Have text4baby.
Figure 2
Figure 2
Madigan text4baby CONSORT flow diagram.

References

    1. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Transl Behav Med. 2011 Mar;1(1):53–71. doi: 10.1007/s13142-011-0021-7.
    1. Evans WD. Branding social and health behavior: an education and research agenda. In: Evans WD, editor. Psychology of Branding. Hauppauge, NY: Nova Science Publishers; 2013. pp. 133–148.
    1. World Health Organization. 2014. [2015-01-03]. eHealth and Innovation in Women and Children’s Health: A Baseline Review .
    1. World Health Organization. 2011. [2015-01-03]. mHealth: New Horizons for Health Through Mobile Technologies .
    1. Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010 Apr;32(1):56–69. doi: 10.1093/epirev/mxq004.
    1. Free C, Knight R, Robertson S, Whittaker R, Edwards P, Zhou W, Rodgers A, Cairns J, Kenward MG, Roberts I. Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial. Lancet. 2011 Jul 2;378(9785):49–55. doi: 10.1016/S0140-6736(11)60701-0.
    1. National Institutes of Health Office of Behavioral and Social Sciences Research Education and Health: New Frontiers. 2014. [2015-01-10]. .
    1. Bill and Melinda Gates Foundation. 2014. [2015-01-03]. The Records for Life Contest .
    1. Abroms LC, Ahuja M, Kodl Y, Thaweethai L, Sims J, Winickoff JP, Windsor RA. Text2Quit: results from a pilot test of a personalized, interactive mobile health smoking cessation program. J Health Commun. 2012;17 Suppl 1:44–53. doi: 10.1080/10810730.2011.649159.
    1. Whittaker R, Maddison R, McRobbie H, Bullen C, Denny S, Dorey E, Ellis-Pegler M, van Rooyen J, Rodgers A. A multimedia mobile phone-based youth smoking cessation intervention: findings from content development and piloting studies. J Med Internet Res. 2008;10(5):e49. doi: 10.2196/jmir.1007.
    1. Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, Patel V, Haines A. The effectiveness of mobile-health technology-based health behavior change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013 doi: 10.1371/journal.pmed.1001362.
    1. Risk A, Dzenowagis J. Review of internet health information quality initiatives. J Med Internet Res. 2001;3(4):E28. doi: 10.2196/jmir.3.4.e28.
    1. Whittaker R, McRobbie H, Bullen C, Borland R, Rodgers A, Gu Y. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev. 2012;11:CD006611. doi: 10.1002/14651858.CD006611.pub3.
    1. Patrick K, Raab F, Adams MA. A text message-based intervention for weight loss: Randomized controlled trial electronic article. J Med Internet Res. 2011;11(1):e1.
    1. Patrick K, Calfas KJ, Norman GJ, Rosenberg D, Zabinski MF, Sallis JF, Rock CL, Dillon LW. Outcomes of a 12-month web-based intervention for overweight and obese men. Ann Behav Med. 2011 Dec;42(3):391–401. doi: 10.1007/s12160-011-9296-7.
    1. Hurling R, Catt M, Boni MD, Fairley BW, Hurst T, Murray P, Richardson A, Sodhi JS. Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. J Med Internet Res. 2007;9(2):e7. doi: 10.2196/jmir.9.2.e7.
    1. Joo NS, Kim BT. Mobile phone short message service messaging for behaviour modification in a community-based weight control programme in Korea. J Telemed Telecare. 2007;13(8):416–20. doi: 10.1258/135763307783064331.
    1. Manzoni GM, Pagnini F, Corti S, Molinari E, Castelnuovo G. Internet-based behavioral interventions for obesity: an updated systematic review. Clin Pract Epidemiol Ment Health. 2011;7:19–28. doi: 10.2174/1745017901107010019.
    1. Kernot J, Olds T, Lewis LK, Maher C. Effectiveness of a facebook-delivered physical activity intervention for post-partum women: a randomized controlled trial protocol. BMC Public Health. 2013;13:518. doi: 10.1186/1471-2458-13-518.
    1. Kim SI, Kim HS. Effectiveness of mobile and internet intervention in patients with obese type 2 diabetes. Int J Med Inform. 2008 Jun;77(6):399–404. doi: 10.1016/j.ijmedinf.2007.07.006.
    1. PopTech. 2014. [2015-01-03]. Project Masiluleke .
    1. Circo I. Movercado. The Communication and Marketing Symposium Series; May 2, 2014; George Washington University, Washington, DC. 2014. May 02,
    1. Evans WD, Wallace Bihm J, Szekely D, Nielsen P, Murray E, Abroms L, Snider J. Initial outcomes from a 4-week follow-up study of the Text4baby program in the military women's population: randomized controlled trial. J Med Internet Res. 2014 May;16(5):e131. doi: 10.2196/jmir.3297.
    1. Whittaker R, Matoff-Stepp S, Meehan J, Kendrick J, Jordan E, Stange P, Cash A, Meyer P, Baitty J, Johnson P, Ratzan S, Rhee K. Text4baby: development and implementation of a national text messaging health information service. Am J Public Health. 2012 Dec;102(12):2207–13. doi: 10.2105/AJPH.2012.300736.
    1. Evans WD, Abroms LC, Poropatich R, Nielsen P, Wallace J. Mobile health evaluation methods: opportunities, challenges and the text4baby case study. J Hlth Comm. 2012;17:22–29.
    1. Evans WD, Wallace JL, Snider J. Pilot evaluation of the text4baby mobile health program. BMC Public Health. 2012;12:1031. doi: 10.1186/1471-2458-12-1031.
    1. Prochaska JO, Velicer WF, Rossi JS, Goldstein MG, Marcus BH, Rakowski W, Fiore C, Harlow LL, Redding CA, Rosenbloom D. Stages of change and decisional balance for 12 problem behaviors. Health Psychol. 1994 Jan;13(1):39–46.
    1. Glanz K, Rimer BK, Lewis FM. Health Behavior and Health Education: Theory, Research, and Practice. San Francisco: Jossey-Bass; 2002.
    1. Rogers EM. Diffusion of Innovations. 5th edition. New York: Free Press; 2003.
    1. Fjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med. 2009 Feb;36(2):165–73. doi: 10.1016/j.amepre.2008.09.040.
    1. Abroms LC, Padmanabhan N, Evans WD. Mobile phones for health promotion. In: Noar S, Harrington NG, editors. Interactive Health Communication Applications: Promising Strategies for Health Behavior Change. New York: Routledge; 2012.
    1. Poropatich R, Lai E, McVeigh F, Bashur R. Cost effectiveness of telehealth for patients with long term conditions (Whole Systems Demonstrator telehealth questionnaire study): nested economic evaluation in a pragmatic, cluster randomised controlled trial. BMJ. 2013 Mar 28;346(mar28 6):f2065–f2065. doi: 10.1136/bmj.f2065.
    1. Mulhall E. Iraq and Afghanistan Veterans of America (IAVA) Issue Report. Washington, DC: IAVA; 2009. [2015-01-13]. Women Warriors: Supporting She Who has Borne the Battle .
    1. American College of Obstetricians and Gynecologists Committee on Health Care for Underserved Women Health care for women in the military and women Veterans. Committee Opinion No. 547. 2012. [2015-01-13]. .
    1. Bean-Mayberry B, Yano EM, Washington DL, Goldzweig C, Batuman F, Huang C, Miake-Lye I, Shekelle Pg. Systematic review of women veterans' health: update on successes and gaps. Womens Health Issues. 2011;21(4 Suppl):S84–97. doi: 10.1016/j.whi.2011.04.022.
    1. Gazmararian JA, Elon L, Yang B, Graham M, Parker R. Text4baby program: an opportunity to reach underserved pregnant and postpartum women? Matern Child Health J. 2014 Jan;18(1):223–32. doi: 10.1007/s10995-013-1258-1.
    1. text4baby. [2015-01-02]. Message content .
    1. Barnet B, Liu J, DeVoe M, Duggan AK, Gold MA, Pecukonis E. Motivational intervention to reduce rapid subsequent births to adolescent mothers: a community-based randomized trial. Ann Fam Med. 2009;7(5):436–45. doi: 10.1370/afm.1014.
    1. Comry AL, Lee HB. A First Course in Factor Analysis. 2nd edition. Hillsdale, NJ: Lawrence Erlbaum; 1992.
    1. Healthy Mothers Healthy Babies. 2014. [2015-01-03]. text4baby enrollment data .
    1. Smith DC, Munroe ML, Foglia LM, Nielsen PE, Deering SH. Effects of deployment on depression screening scores in pregnancy at an army military treatment facility. Obstet Gynecol. 2010 Sep;116(3):679–84. doi: 10.1097/AOG.0b013e3181eb6c84.
    1. Nilsen P. Brief alcohol intervention to prevent drinking during pregnancy: an overview of research findings. Curr Opin Obstet Gynecol. 2009:496–500. doi: 10.1097/GCO.0b013e328332a74c.
    1. Reed JA, Powers A, Greenwood M, Smith W, Underwood R. Using "point of decision" messages to intervene on college students' eating behaviors. Am J Health Promot. 2011;25(5):298–300. doi: 10.4278/ajhp.090511-ARB-162.
    1. Fogg BJ, Adler R. Texting 4 Health. Stanford, CA: Stanford Captology Media; 2009.
    1. Snyder LB, Hamilton MA, Mitchell EW, Kiwanuka-Tondo J, Fleming-Milici F, Proctor D. A meta-analysis of the effect of mediated health communication campaigns on behavior change in the United States. J Health Commun. 2004;9 Suppl 1:71–96. doi: 10.1080/10810730490271548.
    1. Buscher LA, Martin KA, Crocker S. Point-of-purchase messages framed in terms of cost, convenience, taste, and energy improve healthful snack selection in a college foodservice setting. J Am Diet Assoc. 2001 Aug;101(8):909–13. doi: 10.1016/S0002-8223(01)00223-1.
    1. Freedman MR, Connors R. Point-of-purchase nutrition information influences food-purchasing behaviors of college students: a pilot study. J Am Diet Assoc. 2010 Aug;110(8):1222–6. doi: 10.1016/j.jada.2010.05.002.

Source: PubMed

3
Se inscrever