ArticleTranslational behavioral medicine2023
Translating pediatric primary care best practice guidelines for addressing tobacco in the WIC system.
Article in Translational behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 3 citations in OpenAlex.
- Babies Living Safe and Smokefree (BLiSS) Intervention Reduces Children's Tobacco Smoke Exposure Directly and Indirectly by Improving Maternal Smokers' Urge Management Skills and Exposure Protection Behaviors.International journal of environmental research and public health · 2025Trial
- Thirdhand Smoke and Neonatal/Pediatric Health: A Scoping Review on Nursing Implications.Healthcare (Basel, Switzerland) · 2025Review
- Bridging Gaps: Provider Perspectives on Integrating Systems for Health Equity.International journal of environmental research and public health · 2025Article
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 at 2 institutions in 1 country.
Funding
Abstract
Tobacco smoke exposure (TSE) adversely affects child health. Intervention research on reducing childhood TSE and uptake of evidence-based smoking cessation programs has had limited reach in high-risk communities. Intervening in clinics delivering the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) could address overlapping public health priorities essential for healthy child development-nutrition and smoke-free environments. The Babies Living Safe and Smokefree (BLiSS) trial addresses existing gaps by implementing and evaluating a WIC in-clinic evidence-based training based on Ask, Advise, and Refer (AAR) guidelines. WIC nutrition staff (n = 67) completed surveys pre- and post-training as part of the larger BLiSS trial. Staff sociodemographic data, knowledge, and attitudes about maternal smoking and child TSE prevention, and AAR practices in clinic were collected using self-administered surveys. Pre-post outcomes were assessed using bivariate statistics and multiple regression models. Controlling for baseline AAR-related practices and other covariates, nutrition managers were more likely to engage in post-training AAR practices than nutrition assistants. Sociodemographics and smoking status were not related to post-training AAR. Lower perceived barriers and higher reported frequency of tobacco intervention practices at baseline were associated with higher engagement in post-test AAR practices. WIC-system interventions aimed at reducing child TSE and maternal tobacco smoking may be more effective if nutrition management-level staff are involved in assessment and by addressing barriers related to TSE among nutrition assistants. Findings suggest that WIC in-clinic training may help to increase self-efficacy for staff engagement in brief screening, intervention, and referral practices.
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.