Evidence map›Paper›PMID 41057188›Full record

ArticleBMJ open2025

Adaptation drivers of evidence-based brief advice/counselling for tobacco use in high-reach, low-resource settings in Mumbai: a qualitative exploration with patients, practitioners and policymakers.

Shoba Ramanadhan, Sitara L Mahtani, Marina D'Costa, Gauri Mandal, Dinesh Jagiasi, Ratandeep Chawla, Sara Minsky, Ziming Xuan, Morgan Mulhern Lopez, Himanshu Gupte

Abstract read
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. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Shoba RamanadhanDepartment of Social and Behavioral Sciences, Harvard T H Chan School of Public Health Department of Social and Behavioral Sciences, Boston, Massachusetts, USA sramanadhan@hsph.harvard.edu.
Sitara L MahtaniDana-Farber Cancer Institute, Boston, Massachusetts, USA.ORCID http://orcid.org/0009-0002-4132-7491
Marina D'CostaNarotam Sekhsaria Foundation, Mumbai, MH, India.
Gauri MandalSalaam Bombay Foundation, Mumbai, MH, India.
Dinesh JagiasiNarotam Sekhsaria Foundation, Mumbai, MH, India.
Ratandeep ChawlaNarotam Sekhsaria Foundation, Mumbai, MH, India.
Sara MinskyDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Ziming XuanCommunity Health Science, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-6139-4785
Morgan Mulhern LopezDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Himanshu GupteNarotam Sekhsaria Foundation, Mumbai, MH, India.ORCID http://orcid.org/0000-0002-6290-2419

Funding

Engagement with healthcare system, tobacco use and cancer communication during COVID-19 in India - Administrative Supplement to Project LifeFirst SWASTHR01CA230355 · NCI · DANA-FARBER CANCER INST · PI RAMANADHAN, SHOBA, VISWANATH, KASISOMAYAJULA · 2020 to 2024
$3.5M
NCI NIH HHS R01 CA230355
6 · The paper itself

Abstract

introductionTobacco use accounts for approximately 1.35 million deaths annually in India, disproportionately affecting low-income individuals, men, rural residents, those without formal education and groups of low socioeconomic status (SES). Despite progress in tobacco control, scalable, low-cost solutions, such as brief advice interventions, are needed. This study explored priority implementation determinants for adapting an evidence-based brief advice/counselling intervention for high-reach, low-resource settings in Mumbai, India. The focal settings (health-focused and tuberculosis-focused non-governmental organisations (Health NGOs and TB NGOs) and dental clinics) served low-SES populations.

methodsMumbai-based and US-based team members conducted a qualitative study employing semistructured interviews to gather data from four groups connected to Health and TB NGOs and dental clinics: (1) 15 patients, (2) 33 practitioners, (3) nine practice leaders and (4) three policymakers. We used a team-based, critical, reflexive thematic analysis approach to analysis, grounded in the Exploration, Preparation, Implementation and Sustainment framework. We managed data with Nvivo software.

resultsParticipants were supportive but highlighted diverse challenges and supports required for implementing the intervention in these diverse settings. First, many noted that societal constraints such as economic insecurity and cultural factors were expected to limit tobacco control efforts for low-SES populations. Second, setting-specific intervention adaptations were identified as necessary to support integration and ensure access to support for all patients. Various participant groups highlighted different adaptation areas. For example, patients noted that tobacco was part of their routines and social lives, practitioners emphasised the need to design implementation plans that support integration alongside existing needs, and policymakers highlighted the need for uniform implementation strategies.

conclusionAdapting brief advice/counselling interventions for Health NGOs, TB NGOs and dental clinics in Mumbai will require strategic communication to support buy-in, thoughtful workflow integration and changes to funding and support mechanisms for organisations so meaningful reductions in tobacco use can be achieved among low-SES groups. In other words, there is a need to adapt both the intervention and the implementing system to allow for brief advice/counselling to contribute to broader tobacco control efforts.

trial registrationR01 CA230355.

Indexed as

CounselingSmoking CessationTobacco UseAdministrative PersonnelAdultFemaleHumansIndiaMaleMiddle AgedPovertyQualitative ResearchCapacity BuildingHealth EquityPUBLIC HEALTHQUALITATIVE RESEARCHTobacco Use

Identifiers

PMID41057188
PMCPMC12506186

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.