Evidence map›Paper›PMID 28767722›Full record

ArticlePloS one2017

Cost-effectiveness analysis of population-based tobacco control strategies in the prevention of cardiovascular diseases in Tanzania.

Frida Ngalesoni, George Ruhago, Mary Mayige, Tiago Cravo Oliveira, Bjarne Robberstad, Ole Frithjof Norheim, Hideki Higashi

Abstract read
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Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

7 authors.

Frida NgalesoniMinistry of Health, Community Development, Gender, Elderly and Children, Dar es Salaam, Tanzania.
George RuhagoMuhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Mary MayigeTanzania National Institute of Medical Research, Dar es Salaam, Tanzania.
Tiago Cravo OliveiraInstitute of Health Metrics and Evaluation, Seattle, Washington, United States of America.
Bjarne RobberstadCentre for International Health, University of Bergen, Bergen, Norway.
Ole Frithjof NorheimDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Hideki HigashiJapan International Cooperation Agency, Lusaka, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco consumption contributes significantly to the global burden of disease. The prevalence of smoking is estimated to be increasing in many low-income countries, including Tanzania, especially among women and youth. Even so, the implementation of tobacco control measures has been discouraging in the country. Efforts to foster investment in tobacco control are hindered by lack of evidence on what works and at what cost.

aimsWe aim to estimate the cost and cost-effectiveness of population-based tobacco control strategies in the prevention of cardiovascular diseases (CVD) in Tanzania. MATERIALS AND

methodsA cost-effectiveness analysis was performed using an Excel-based Markov model, from a governmental perspective. We employed an ingredient approach and step-down methodologies in the costing exercise following a government perspective. Epidemiological data and efficacy inputs were derived from the literature. We used disability-adjusted life years (DALYs) averted as the outcome measure. A probabilistic sensitivity analysis was carried out with Ersatz to incorporate uncertainties in the model parameters.

resultsOur model results showed that all five tobacco control strategies were very cost-effective since they fell below the ceiling ratio of one GDP per capita suggested by the WHO. Increase in tobacco taxes was the most cost-effective strategy, while a workplace smoking ban was the least cost-effective option, with a cost-effectiveness ratio of US$5 and US$267, respectively.

conclusionsEven though all five interventions are deemed very cost-effective in the prevention of CVD in Tanzania, more research on budget impact analysis is required to further assess the government's ability to implement these interventions.

Indexed as

Smoking PreventionAdolescentAdultAgedCardiovascular DiseasesCost-Benefit AnalysisFemaleHealth PromotionHumansMaleMiddle AgedModels, EconomicQuality-Adjusted Life YearsSmokingTanzaniaYoung Adult

Identifiers

PMID28767722
PMCPMC5540531

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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.