Evidence map›Paper›PMID 28833834›Full record

ArticleAddiction (Abingdon, England)2018

Estimates of effectiveness and reach for 'return on investment' modelling of smoking cessation interventions using data from England.

Robert West, Kathryn Coyle, Lesley Owen, Doug Coyle, Subhash Pokhrel, EQUIPT Study Group

Open access · hybridAbstract read
In one paragraph

Article 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 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% of its field
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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Robert WestDepartment of Behavioural Science and Health, University College London, London, UK.
Kathryn CoyleHealth Economics Research Group (HERG), Institute of Environment, Health and Society, Brunel University London, Uxbridge, UK.
Lesley OwenCentre for Guidelines, National Institute for Health and Care Excellence, London, UK.
Doug CoyleHealth Economics Research Group (HERG), Institute of Environment, Health and Society, Brunel University London, Uxbridge, UK.
Subhash PokhrelHealth Economics Research Group (HERG), Institute of Environment, Health and Society, Brunel University London, Uxbridge, UK.
EQUIPT Study Group
Brunel University of London · GBNational Institute for Health and Care Excellence · GBUniversity College London · GBUniversity of Ottawa · CA

Funding

Cancer Research UK 22962Medical Research Council MR/K023195/1
6 · The paper itself

Abstract

BACKGROUND AND

aimsEstimating 'return on investment' (ROI) from smoking cessation interventions requires reach and effectiveness parameters for interventions for use in economic models such as the EQUIPT ROI tool (http://roi.equipt.eu). This paper describes the derivation of these parameter estimates for England that can be adapted to create ROI models for use by other countries.

methodsEstimates were derived for interventions in terms of their reach and effectiveness in: (1) promoting quit attempts and (2) improving the success of quit attempts (abstinence for at least 12 months). The sources were systematic reviews of efficacy supplemented by individual effectiveness evaluations and national surveys.

findingsQuit attempt rates were estimated to be increased by the following percentages (with reach in parentheses): 20% by tax increases raising the cost of smoking 5% above the cost of living index (100%); 10% by enforced comprehensive indoor public smoking bans (100%); 3% by mass media campaigns achieving 400 gross rating points (100%); 40% by brief opportunistic physician advice (21%); and 110% by use of a licensed nicotine product to reduce cigarette consumption (12%). Quit success rates were estimated to be increased by the following ratios: 60% by single-form nicotine replacement therapy (NRT) (5%); 114% by NRT patch plus a faster-acting NRT (2%);124% by prescribed varenicline (5%); 60% by bupropion (1%); 100% by nortriptyline (0%), 10) 298% by cytisine (0%); 40% by individual face-to-face behavioural support (2%); 37% by telephone support (0.5%); 88% by group behavioural support (1%); 63% by text messaging (0.5%); and 19% by printed self-help materials (1%). There was insufficient evidence to obtain reliable, country-specific estimates for interventions such as websites, smartphone applications and e-cigarettes.

conclusionsTax increases, indoor smoking bans, brief opportunistic physician advice and use of nicotine replacement therapy (NRT) for smoking reduction can all increase population quit attempt rates. Quit success rates can be increased by provision of NRT, varenicline, bupropion, nortriptyline, cytisine and behavioural support delivered through a variety of modalities. Parameter estimates for the effectiveness and reach of these interventions can contribute to return on investment estimates in support of national or regional policy decisions.

Indexed as

Models, EconomicEnglandHumansSmokingSmoking CessationEffectivenessmodelsquit attemptreachreturn on investmentsmoking

Identifiers

PMID28833834
PMCPMC6032933
OpenAlexW2750304726

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.