Evidence map›Paper›PMID 28003506›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2017

Developing a Biomarker Feedback Intervention to Motivate Smoking Cessation During Pregnancy: Phase II MAW Study.

Kathryn R Koller, Christie A Flanagan, Gretchen E Day, Timothy K Thomas, Christina A Smith, Abbie W Wolfe, Crystal Meade, Christine A Hughes, Vanessa Y Hiratsuka, Neil J Murphy and 1 more

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Postpartum Tobacco Use and Perceived Stress among Alaska Native Women: MAW Phase 4 Study.International journal of environmental research and public health · 2019
    Article
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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

11 authors.

Kathryn R KollerClinical and Research Services, Division of Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK.
Christie A FlanaganClinical and Research Services, Division of Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK.
Gretchen E DayClinical and Research Services, Division of Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK.
Timothy K ThomasClinical and Research Services, Division of Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK.
Christina A SmithDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN.
Abbie W WolfeClinical and Research Services, Division of Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK.
Crystal MeadeClinical and Research Services, Division of Community Health Services, Alaska Native Tribal Health Consortium, Anchorage, AK.
Christine A HughesDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN.
Vanessa Y HiratsukaSouthcentral Foundation, Department of Obstetrics and Gynecology, Alaska Native Medical Center, Anchorage, AK.
Neil J MurphySouthcentral Foundation, Department of Obstetrics and Gynecology, Alaska Native Medical Center, Anchorage, AK.
Christi A PattenDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN.

Funding

Training ProgramU54CA153605 · NCI · MAYO CLINIC ROCHESTER · PI KAUR, JUDITH S, PATTEN, CHRISTI A · 2010 to 2015
$6.4M
NCI NIH HHS U54 CA153605
6 · The paper itself

Abstract

introductionThe prevalence of smoking during pregnancy for Alaska Native (AN) women is more than triple that of non-Native Alaska women. In this qualitative study, we solicited input from AN women and others to determine how best to present findings from an earlier study demonstrating a strong correlation between biomarkers for maternal smoking (cotinine) and neonatal exposure to a tobacco-specific carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) to motivate cessation.

methodsWe developed a brochure incorporating generalized biomarker information. Using in-depth individual interviews with pregnant and postpartum AN women and partners/family members, we explored applicability and acceptability of the information. Postpartum women, who had participated in the earlier correlation study, additionally received their individual biomarker results. We assessed whether being presented general or individual biomarker information would motivate cessation using content analysis.

resultsWe conducted 39 interviews: 16 pregnant women, 12 postpartum women, and 11 partners/family members. Overall, participants agreed the biomarker information was new, but understandable as presented. Postpartum women shared that learning their personal results inspired them to want to quit or cut back smoking while pregnant women indicated the generalized correlation information was less helpful in motivating cessation.

conclusionGeneralized information about fetal exposure to carcinogens may be more effective in motivating pregnant women to quit smoking when combined with individual cotinine testing. IMPLICATIONS: Using feedback from this study, we refined and are currently evaluating an intervention incorporating generalized correlation information from Phase I and cotinine testing to determine its effectiveness in motivating smoking cessation among pregnant AN women.

Indexed as

SmokingAdultAlaskaAlaska NativesBiomarkersFemaleHumansMotivationPregnancySmoking CessationBiomarkers

Identifiers

PMID28003506
PMCPMC5896456

What OpenQuestion holds

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Registered trials

None linked

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.