Evidence map›Paper›PMID 42647544›Full record

ArticlePloS one2026

Knowledge of and willingness to use tobacco cessation services among patients with non-communicable diseases in Bangladesh: A cross-sectional study.

Md Golam Kibria, Russell Kabir, Ali Davod Parsa, Mst Nasrin Jebin, Sonali Akter, Md Abu Raihan, Taslima Islam

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Md Golam KibriaDepartment of Research, Centre for Development Action, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-1499-7505
Russell KabirDepartment of Research, Centre for Development Action, Dhaka, Bangladesh.
Ali Davod ParsaDepartment of Research, Centre for Development Action, Dhaka, Bangladesh.
Mst Nasrin JebinDepartment of Health Service, Directorate General of Health Services, Dhaka, Bangladesh.
Sonali AkterDepartment of Research, Centre for Development Action, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0008-8123-1025
Md Abu RaihanDepartment of Research, Centre for Development Action, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0009-0508-6695
Taslima IslamDepartment of Monitoring, Evaluation and Learning, Social Development Foundation, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-3876-7373

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco cessation services are recognised as an effective strategy for curbing tobacco consumption. However, data regarding these services in Bangladesh are limited. This study aimed to assess the levels of knowledge of and willingness to use tobacco cessation services and to identify associated factors among patients with NCDs who were current tobacco users in Bangladesh.

methodsA cross-sectional study was conducted among 660 consecutively selected patients with NCDs aged ≥18 years visiting selected government sub-district hospitals in Bangladesh. Data were collected using a structured questionnaire from May 26-14 June, 2025. Multivariable logistic regression analyses were performed to identify the factors associated with overall knowledge of and willingness to use cessation services.

resultsOnly 10.5% of participants reported moderate to high levels of overall knowledge on cessation services, while 65.3% expressed willingness to use them. In the multivariable ordinal logistic regression with partial proportional odds model (PPOM), higher knowledge of cessation services was associated with secondary education (adjusted odds ratio [aOR]: 1.9, 95% CI: 1.08-3.31) and higher secondary education and above (aOR: 4.3, 95% CI: 2.21-8.51). Similarly, the multivariable binary logistic regression analysis shows that willingness to use cessation services was associated with secondary education (aOR: 1.8, 95% CI: 1.12-2.83), higher secondary education and above (aOR: 2.2, 95% CI: 1.13-4.68), > 10 hospital visits (aOR: 2.5, 95% CI: 1.59-3.88), and moderate to high levels of overall knowledge of cessation services (aOR: 3.5, 95% CI: 1.73-7.99).

conclusionsDespite low levels of knowledge, willingness to use cessation services was high among participants in Bangladesh. Educational attainment was a key determinant of knowledge, while greater knowledge, higher education, and more frequent hospital visits were associated with willingness. These findings highlight the need to improve patient awareness and integrate cessation support into routine care to increase service use among tobacco users.

Indexed as

Health Knowledge, Attitudes, PracticeNoncommunicable DiseasesTobacco Use CessationAdolescentAdultBangladeshCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareSurveys and QuestionnairesTobacco ControlYoung Adult

Identifiers

PMID42647544
PMCPMC13513993

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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.