Evidence map›Paper›PMID 41248326›Full record

ArticleBMJ open2025

Effectiveness of tobacco control policy interventions on tobacco use behaviours and health outcomes based on ITS research methodology: a scoping review.

Ying Shi, Dan Qin, Haiyin Wang, Lihang Sun, Kaicheng Gu

Abstract readScoping Review
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Ying ShiShanghai Health Development Research Center(Shanghai Medical information Center), Shanghai, China.
Dan QinSchool of Pharmaceutical Sciences and Yunnan Provincial Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan, China.ORCID http://orcid.org/0009-0007-2835-3149
Haiyin WangShanghai Health Development Research Center(Shanghai Medical information Center), Shanghai, China wanghaiyin@shdrc.org.
Lihang SunShanghai Health Development Research Center(Shanghai Medical information Center), Shanghai, China.
Kaicheng GuCollege of Arts and Science, Emory University, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo provide an overview of the effectiveness of global tobacco control policies using Interrupted Time Series (ITS) methodology and analyse key health outcome indicators and methodological differences in ITS studies. DATA SOURCES: PubMed, Web of Science and Embase were searched for ITS studies on tobacco control policies from database inception to 1 July 2024. STUDY SELECTION: 55 English-language studies were selected based on strict inclusion criteria. DATA EXTRACTION: Three researchers extracted data on study characteristics, design, conclusions and limitations. DATA SYNTHESIS: Of the studies, 28 used monthly time intervals, 40 focused on a single time break, 47 used non-Autoregressive Integrated Moving Average models, 40 considered seasonality, 34 controlled for confounding factors and only 13 included a control group. The implementation and evaluation of tobacco control policies demonstrated considerable geographical imbalance, with Europe reporting the largest number of evaluations (n = 23), followed by Asia (n = 12) and North America (n = 10), whereas South America (n = 4), multiple regions (n = 4) and Oceania (n = 2) were markedly under-represented. Overall, policies were associated with beneficial effects across multiple health outcomes, including reductions in emergency visit rate, hospitalisation rates, secondhand smoke exposure rate and smoking prevalence, although certain outcome measures exhibited notable heterogeneity.

conclusionsITS applications differ in time-interval selection, modelling and control of seasonality and confounding, contributing to result heterogeneity. Tobacco control policies are effective across multiple health indicators, though variability warrants further study. Future work should enhance reporting and methodological standardisation, particularly in control group use and statistical modelling, and strengthen policy implementation and evaluation in low- and middle-income countries to promote equitable global progress.

Indexed as

Health PolicySmoking PreventionTobacco UseHumansInterrupted Time Series AnalysisResearch DesignTobacco ControlTobacco Smoke PollutionTobacco Smoke PollutionHealth policyLegislationSmoking ReductionSTATISTICS & RESEARCH METHODSTobacco Use

Identifiers

PMID41248326
PMCPMC12587966

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.