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ArticleMaternal and child health journal2020

Pilot Test of Connecting Pregnant Women who Smoke to Short Message Service (SMS) Support Texts for Cessation.

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

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Maternal and child health journal, 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Kathryn I PollakCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC, 27710, USA. kathryn.pollak@duke.edu.ORCID http://orcid.org/0000-0002-5559-2416
Pauline LynaCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC, 27710, USA.
Xiaomei GaoCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC, 27710, USA.
Devon NoonanCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC, 27710, USA.
Santiago Bejarano HernandezCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC, 27710, USA.
Sonia SubudhiDoctor of Medicine Program, Eastern Virginia Medical School, Norfolk, VA, 23507, USA.
Danielle KennedyCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC, 27710, USA.
David FarrellPeople Designs, Inc, Durham, NC, USA.
Geeta K SwamyDepartment of Obstetrics and Gynecology, Duke University School of Medicine, DUMC 3083, Durham, NC, 27710, USA.
Laura J FishCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC, 27710, USA.

Funding

NCI NIH HHS NCT01995097
6 · The paper itself

Abstract

introductionMost pregnant women know that smoking poses serious risks to baby and mother, yet many still smoke. We conducted a large randomized controlled trial and found that an SMS text-delivered program helped about 10% of these women quit smoking. In this paper, we describe the feasibility of disseminating a text-based intervention to pregnant women who smoke.

methodsWe tested dissemination in two ways from prenatal clinics and compared recruitment rates to those found in our large randomized controlled trial. The first method involved "direct texting" where study staff identified women who smoked and sent them a text asking them to text back if they wanted to receive texts to help them quit. The second involved "nurse screening" where clinic staff from county health departments screened women for smoking and asked them to send a text to the system if they wanted to learn more about the program. Our primary outcome was feasibility assessed by the number of women who texted back their baby's due date, which served as "enrolling" in the texting program, which we compared to the recruitment rate we found in our large trial.

resultsOver 4 months, we texted 91 women from the academic health system. Of those, 17 texted back and were counted as "enrolled." In the health departments, across the 4 months, 12 women texted the system initially. Of those, 10 were enrolled. This rate was similar to the rate enrolled in the randomized controlled trial. DISCUSSION: Two different methods connected pregnant women who smoke to a texting program. One of these methods can be automated further and have the potential of helping many women quit smoking with minimal effort. Clinical Trial # NCT01995097.

Indexed as

AdultFemaleHumansPilot ProjectsPregnancyPregnant PeopleSmokersSmoking CessationText MessagingTobacco ProductsClinicsDisseminationPregnancyProgramSmoking

Identifiers

What OpenQuestion holds

Textmetadata
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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.