Kathryn I Pollak1,2, Pauline Lyna1, Xiaomei Gao1, Devon Noonan1,3, Santiago Bejarano Hernandez1, Sonia Subudhi4, Geeta K Swamy5, Laura J Fish1,6. 1. Cancer Control and Population Sciences, Duke Cancer Institute, Durham, NC. 2. Department of Population Health Sciences, Duke University School of Medicine, Durham, NC. 3. School of Nursing, Duke University, Durham, NC. 4. Doctor of Medicine Program, Eastern Virginia Medical School, Norfolk, VA. 5. Department of Obstetrics and Gynecology, DUMC 3083, Duke University School of Medicine, Durham, NC. 6. Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, NC.
Abstract
INTRODUCTION: Smoking during pregnancy poses serious risks to baby and mother. Few disseminable programs exist to help pregnant women quit or reduce their smoking. We hypothesized that an SMS text-delivered scheduled gradual reduction (SGR) program plus support texts would outperform SMS support messages alone. METHODS: We recruited 314 pregnant women from 14 prenatal clinics. Half of the women received theory-based support messages throughout their pregnancy to promote cessation and prevent relapse. The other half received the support messages plus alert texts that gradually reduced their smoking more than 3-5 weeks. We conducted surveys at baseline, end of pregnancy, and 3 months postpartum. Our primary outcome was biochemically validated 7-day point prevalence abstinence at late pregnancy. Our secondary outcome was reduction in cigarettes per day. RESULTS: Adherence to the SGR was adequate with 70% responding to alert texts to smoke within 60 minutes. Women in both arms quit smoking at the same rate (9%-12%). Women also significantly reduced their smoking from baseline to the end of pregnancy from nine cigarettes to four; we found no arm differences in reduction. CONCLUSIONS: Support text messages alone produced significant quit rates above naturally occurring quitting. SGR did not add significantly to helping women quit or reduce. Sending support messages can reach many women and is low-cost. More obstetric providers might consider having patients who smoke sign up for free texting programs to help them quit. IMPLICATIONS: A disseminable texting program helped some pregnant women quit smoking.Clinical Trial Registration number: NCT01995097.
RCT Entities:
INTRODUCTION: Smoking during pregnancy poses serious risks to baby and mother. Few disseminable programs exist to help pregnant women quit or reduce their smoking. We hypothesized that an SMS text-delivered scheduled gradual reduction (SGR) program plus support texts would outperform SMS support messages alone. METHODS: We recruited 314 pregnant women from 14 prenatal clinics. Half of the women received theory-based support messages throughout their pregnancy to promote cessation and prevent relapse. The other half received the support messages plus alert texts that gradually reduced their smoking more than 3-5 weeks. We conducted surveys at baseline, end of pregnancy, and 3 months postpartum. Our primary outcome was biochemically validated 7-day point prevalence abstinence at late pregnancy. Our secondary outcome was reduction in cigarettes per day. RESULTS: Adherence to the SGR was adequate with 70% responding to alert texts to smoke within 60 minutes. Women in both arms quit smoking at the same rate (9%-12%). Women also significantly reduced their smoking from baseline to the end of pregnancy from nine cigarettes to four; we found no arm differences in reduction. CONCLUSIONS: Support text messages alone produced significant quit rates above naturally occurring quitting. SGR did not add significantly to helping women quit or reduce. Sending support messages can reach many women and is low-cost. More obstetric providers might consider having patients who smoke sign up for free texting programs to help them quit. IMPLICATIONS: A disseminable texting program helped some pregnant women quit smoking.Clinical Trial Registration number: NCT01995097.
Authors: Sarah R Crozier; Siân M Robinson; Sharon E Borland; Keith M Godfrey; Cyrus Cooper; Hazel M Inskip Journal: Paediatr Perinat Epidemiol Date: 2009-09 Impact factor: 3.980
Authors: Lorien C Abroms; Pamela R Johnson; Leah E Leavitt; Sean D Cleary; Jessica Bushar; Thomas H Brandon; Shawn C Chiang Journal: Am J Prev Med Date: 2017-10-02 Impact factor: 5.043
Authors: Kathryn I Pollak; Pauline Lyna; Xiaomei Gao; Devon Noonan; Santiago Bejarano Hernandez; Sonia Subudhi; Danielle Kennedy; David Farrell; Geeta K Swamy; Laura J Fish Journal: Matern Child Health J Date: 2020-04