Cargando…

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

BACKGROUND AND AIMS: Estimating ‘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 estima...

Descripción completa

Detalles Bibliográficos
Autores principales: West, Robert, Coyle, Kathryn, Owen, Lesley, Coyle, Doug, Pokhrel, Subhash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032933/
https://www.ncbi.nlm.nih.gov/pubmed/28833834
http://dx.doi.org/10.1111/add.14006
_version_ 1783337601688666112
author West, Robert
Coyle, Kathryn
Owen, Lesley
Coyle, Doug
Pokhrel, Subhash
author_facet West, Robert
Coyle, Kathryn
Owen, Lesley
Coyle, Doug
Pokhrel, Subhash
author_sort West, Robert
collection PubMed
description BACKGROUND AND AIMS: Estimating ‘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. METHODS: Estimates 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. FINDINGS: Quit 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. CONCLUSIONS: Tax 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.
format Online
Article
Text
id pubmed-6032933
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-60329332018-07-12 Estimates of effectiveness and reach for ‘return on investment’ modelling of smoking cessation interventions using data from England West, Robert Coyle, Kathryn Owen, Lesley Coyle, Doug Pokhrel, Subhash Addiction EQUIPTMOD as a Basis for Rational Investment Decisions in Tobacco Control BACKGROUND AND AIMS: Estimating ‘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. METHODS: Estimates 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. FINDINGS: Quit 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. CONCLUSIONS: Tax 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. John Wiley and Sons Inc. 2017-09-14 2018-06 /pmc/articles/PMC6032933/ /pubmed/28833834 http://dx.doi.org/10.1111/add.14006 Text en © 2017 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle EQUIPTMOD as a Basis for Rational Investment Decisions in Tobacco Control
West, Robert
Coyle, Kathryn
Owen, Lesley
Coyle, Doug
Pokhrel, Subhash
Estimates of effectiveness and reach for ‘return on investment’ modelling of smoking cessation interventions using data from England
title Estimates of effectiveness and reach for ‘return on investment’ modelling of smoking cessation interventions using data from England
title_full Estimates of effectiveness and reach for ‘return on investment’ modelling of smoking cessation interventions using data from England
title_fullStr Estimates of effectiveness and reach for ‘return on investment’ modelling of smoking cessation interventions using data from England
title_full_unstemmed Estimates of effectiveness and reach for ‘return on investment’ modelling of smoking cessation interventions using data from England
title_short Estimates of effectiveness and reach for ‘return on investment’ modelling of smoking cessation interventions using data from England
title_sort estimates of effectiveness and reach for ‘return on investment’ modelling of smoking cessation interventions using data from england
topic EQUIPTMOD as a Basis for Rational Investment Decisions in Tobacco Control
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032933/
https://www.ncbi.nlm.nih.gov/pubmed/28833834
http://dx.doi.org/10.1111/add.14006
work_keys_str_mv AT westrobert estimatesofeffectivenessandreachforreturnoninvestmentmodellingofsmokingcessationinterventionsusingdatafromengland
AT coylekathryn estimatesofeffectivenessandreachforreturnoninvestmentmodellingofsmokingcessationinterventionsusingdatafromengland
AT owenlesley estimatesofeffectivenessandreachforreturnoninvestmentmodellingofsmokingcessationinterventionsusingdatafromengland
AT coyledoug estimatesofeffectivenessandreachforreturnoninvestmentmodellingofsmokingcessationinterventionsusingdatafromengland
AT pokhrelsubhash estimatesofeffectivenessandreachforreturnoninvestmentmodellingofsmokingcessationinterventionsusingdatafromengland
AT estimatesofeffectivenessandreachforreturnoninvestmentmodellingofsmokingcessationinterventionsusingdatafromengland