Evidence map›Paper›PMID 31647564›Full record

Trial reportNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

Efficacy of a Texting Program to Promote Cessation Among Pregnant Smokers: A Randomized Control Trial.

Kathryn I Pollak, Pauline Lyna, Xiaomei Gao, Devon Noonan, Santiago Bejarano Hernandez, Sonia Subudhi, Geeta K Swamy, Laura J Fish

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01995097 (SMS Scheduled Gradual Reduction Text Messages to Help Pregnant Smokers Quit), which is not on this map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01995097 nacompletednot on this map

SMS Scheduled Gradual Reduction Text Messages to Help Pregnant Smokers Quit

TypeinterventionalSponsorDuke UniversityRan2014 to 2018Enrolled331ConditionsSmoking, PregnancyArmsScheduled Gradual Reduction Text Messages, Support Text Messages
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kathryn I PollakCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC.
Pauline LynaCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC.
Xiaomei GaoCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC.
Devon NoonanCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC.
Santiago Bejarano HernandezCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC.
Sonia SubudhiDoctor of Medicine Program, Eastern Virginia Medical School, Norfolk, VA.
Geeta K SwamyDepartment of Obstetrics and Gynecology, DUMC 3083, Duke University School of Medicine, Durham, NC.
Laura J FishCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC.

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI Laura Fish · 1985 to 2026
$174.8M
SMS scheduled gradual reduction text messages to help pregnant smokers quitR01CA166149 · NCI · DUKE UNIVERSITY · PI POLLAK, KATHRYN I · 2013 to 2017
$3.1M
NCI NIH HHS P30 CA014236NCI NIH HHS R01 CA166149
6 · The paper itself

Abstract

introductionSmoking 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.

methodsWe 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.

resultsAdherence 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.

conclusionsSupport 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.

Indexed as

Health BehaviorAdultFemaleHumansPregnancySmokersSmokingSmoking CessationSurveys and QuestionnairesText Messaging

Identifiers

PMID31647564
PMCPMC7291805

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.