ArticleJournal of community health2022
Implementation and Outcomes of a Maternal Smoking Cessation Program for a Multi-ethnic Cohort in California, USA, 2012-2019.
Article in Journal of community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Real-world effectiveness of a community-based multicomponent maternal smoking cessation program in preventing low birthweight deliveries: Findings from the CTTP cohort.Tobacco induced diseases · 2025Article
- A Comprehensive Look at the Development of Asthma in Children.Children (Basel, Switzerland) · 2024Review
- Racial/Ethnic Disparities Impact the Real-World Effectiveness of a Multicomponent Maternal Smoking Cessation Program: Findings from the CTTP Cohort.Maternal and child health journal · 2023Article
- Long-term implications of fetal growth restriction.World journal of clinical cases · 2023Review
- Perinatal Origins of Adult Disease and Opportunities for Health Promotion: A Narrative Review.Journal of personalized medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Smoking during pregnancy remains one of the most significant risk factors for poor birth outcomes. During 2012-2019, the Loma Linda University Health Comprehensive Tobacco Treatment Program (CTTP) used a multicomponent behavioral intervention for tobacco cessation for 1402 pregnant smokers with components of known efficacy (i.e., incentives, biomarker testing, feedback, and motivational interviewing). The CTTP cohort includes a multi-ethnic sample of pregnant women with a mean age of 27 years referred by collaborating community-based healthcare providers in San Bernardino county. Evaluation of program outcomes from 7 years of follow-up (2012-2019) creates a rich cohort dataset for implementation science research to examine the real-world effectiveness of the program. In this report, we provide a cohort profile, and 8-week prolonged abstinence (8-week PA) and relapse findings from the first year of follow-up (n = 233). We found: (1) 28.4% achieved 8-week PA, (2) At a median of 6.2 months of follow-up after achieving 8-week PA, 23.2% of enrolled subjects reported tobacco cessation, and (3) a high rate of loss to follow-up (44%). In addition, our modeling indicated that the odds of relapse/smoking after enrollment was significantly higher in young mothers, non-Hispanic mothers (White, Black/African-American), mothers in the first and third trimester, and rural mothers. Formative quantitative and qualitative research on the CTTP cohort will consider the effects of a range of implementation science (number of intervention sessions, addition of a mHealth component, distance to care) and individual (partner/household smoking, birth outcomes, NICU) outcome measures for the purpose of scaling up the CTTP model.
Indexed as
Identifiers
What OpenQuestion holds
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.