Evidence map›Paper›PMID 29243351›Full record

SynthesisAddiction (Abingdon, England)2018

Is it cost-effective to provide internet-based interventions to complement the current provision of smoking cessation services in the Netherlands? An analysis based on the EQUIPTMOD.

Kei-Long Cheung, Ben F M Wijnen, Mickaël Hiligsmann, Kathryn Coyle, Doug Coyle, Subhash Pokhrel, Hein de Vries, Maximilian Präger, Silvia M A A Evers

Abstract readMeta-Analysis
In one paragraph

Synthesis in Addiction (Abingdon, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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

9 authors.

Kei-Long CheungDepartment of Health Services Research, CAPHRI, Maastricht University, Maastricht, the Netherlands.
Ben F M WijnenDepartment of Health Services Research, CAPHRI, Maastricht University, Maastricht, the Netherlands.
Mickaël HiligsmannDepartment of Health Services Research, CAPHRI, Maastricht University, Maastricht, the Netherlands.
Kathryn CoyleHealth Economics Research Group, Brunel University London, Uxbridge, UK.
Doug CoyleSchool of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Canada.
Subhash PokhrelHealth Economics Research Group, Brunel University London, Uxbridge, UK.
Hein de VriesDepartment of Health Promotion, CAPHRI, Maastricht University, Maastricht, the Netherlands.
Maximilian PrägerInstitute of Health Economics and Health Care Management, Helmholtz Zentrum München (GmbH)-German Research Center for Environmental Health, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Neuherberg, Germany.
Silvia M A A EversDepartment of Health Services Research, CAPHRI, Maastricht University, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe cost-effectiveness of internet-based smoking cessation interventions is difficult to determine when they are provided as a complement to current smoking cessation services. The aim of this study was to evaluate the cost-effectiveness of such an alternate package compared with existing smoking cessation services alone (current package).

methodsA literature search was conducted to identify internet-based smoking cessation interventions in the Netherlands. A meta-analysis was then performed to determine the pooled effectiveness of a (web-based) computer-tailored intervention. The mean cost of implementing internet based interventions was calculated using available information, while intervention reach was sourced from an English study. We used EQUIPTMOD, a Markov-based state-transition model, to calculate the incremental cost-effectiveness ratios [expressed as cost per quality-adjusted life years (QALYs) gained] for different time horizons to assess the value of providing internet-based interventions to complement the current package.). Deterministic sensitivity analyses tested the uncertainty around intervention costs per smoker, relative risks, and the intervention reach.

resultsInternet-based interventions had an estimated pooled relative risk of 1.40; average costs per smoker of €2.71; and a reach of 0.41% of all smokers. The alternate package (i.e. provision of internet-based intervention to the current package) was dominant (cost-saving) compared with the current package alone (0.14 QALY gained per 1000 smokers; reduced health-care costs of €602.91 per 1000 smokers for the life-time horizon). The alternate package remained dominant in all sensitivity analyses.

conclusionProviding internet-based smoking cessation interventions to complement the current provision of smoking cessation services could be a cost-saving policy option in the Netherlands.

Indexed as

InternetModels, EconomicAdultCost-Benefit AnalysisHumansNetherlandsSmokingSmoking CessationEconomic evaluationEQUIPTMODinternet-basedmodelsmoking cessationtobacco

Identifiers

PMID29243351
PMCPMC6032907

What OpenQuestion holds

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LicenceCC BY-NC
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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.