Evidence map›Paper›PMID 29420833›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2019

Health Care Provider Intervention and Utilization of Cessation Assistance in 12 Low- and Middle-Income Countries.

Daniel Owusu, Ke-Sheng Wang, Megan Quinn, Jocelyn Aibangbee, Rijo M John, Hadii M Mamudu

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  5. Review
  6. Article
  7. Article
  8. Support for smoke-free public places among adults in four countries in sub-Saharan Africa.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
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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

6 authors.

Daniel OwusuTobacco Center of Regulatory Science (TCORS), School of Public Health, Georgia State University, Atlanta, GA.
Ke-Sheng WangDepartment of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN.
Megan QuinnDepartment of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN.
Jocelyn AibangbeeDepartment of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN.
Rijo M JohnCentre for Public Policy Research, Kochi, India.
Hadii M MamuduDepartment of Health Services Management and Policy, East Tennessee State University, Johnson City, TN.

Funding

The Science of Decision Making: Connecting People and PolicyP50DA036128 · NIDA · GEORGIA STATE UNIVERSITY · PI ERIKSEN, MICHAEL PAUL · 2013 to 2018
$19.4M
Communicating harm of new tobacco productsR00CA187460 · NCI · GEORGIA STATE UNIVERSITY · PI POPOVA, LYUDMILA · 2016 to 2018
$738k
NCI NIH HHS R00 CA187460NIDA NIH HHS P50 DA036128
6 · The paper itself

Abstract

Background and Aim: There is a need to improve utilization of cessation assistance in low- and middle-income countries (LMICs), and tobacco cessation research has been identified as priority in LMICs. This study evaluates the relationship between health care provider intervention and cessation assistance utilization in LMICs. Methods: Data from 13 967 participants (aged ≥15 years, 90.3% males) of the Global Adults Tobacco Survey conducted in 12 LMICs (74.3%-97.3% response rates) were analyzed with utilization of counseling/cessation clinic, WHO-recommended medications, and quitline as outcome variables. Health care provider intervention ("no intervention," only "tobacco screening," "quit advice") was the exposure variable. Weighted multiple logistic regression models were used to examine the relationship between each outcome variable and the exposure variable, adjusting for other covariates. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) are reported. Results: Approximately 52%, 8%, and 40% of participants received no intervention, only tobacco screening, and advice to quit, respectively. Overall, 0.4%, 1.9%, 3.0%, and 4.5% used quitline, WHO-recommended medications, counseling/cessation clinic, and any cessation assistance, respectively. Compared with no intervention, quit advice was associated with increased utilization of quitline (OR = 2.24, 95% CI = 1.2 to 4.4), WHO-recommended medications (OR = 1.67, 95% CI = 1.2 to 2.3), counseling/cessation clinic (OR = 4.41, 95% CI = 3.2 to 6.1), and any assistance (any of the three types) (OR = 2.80, 95% CI = 2.2 to 3.6). Conclusion: The findings of this study suggest that the incorporation of quit advice by health care providers in tobacco control programs and health care systems in LMICs could potentially improve utilization of cessation assistance to improve smoking cessation in LMICs. Implications: This first study of association between health care provider intervention and the utilization of cessation assistance in LMICs reports that there was a missed opportunity to provide quit advice to about 60% of smokers who visited a health care provider in the past year. The odds of utilization of counseling/cessation clinic, WHO-recommended medications, and quitline were significantly increased in participants who were advised to quit smoking. The results suggest that effective integration and implementation of advice to quit in tobacco control programs and the national health care systems may increase the use of cessation assistance to quit smoking.

Indexed as

Developing CountriesSurveys and QuestionnairesAdolescentAdultAgedCounselingFemaleHealth PersonnelHumansMaleMiddle AgedPovertySmoking CessationTobacco SmokingYoung Adult

Identifiers

PMID29420833
PMCPMC6329400

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.