Mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impacts

Abstract Background Smartphones are increasingly available and some high quality apps are available for smoking cessation. However, the cost-effectiveness of promoting such apps has never been studied. We therefore aimed to estimate the health gain, inequality impacts and cost-utility from a five-ye...

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Main Authors: Nhung Nghiem, William Leung, Christine Cleghorn, Tony Blakely, Nick Wilson
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-019-6605-8
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spelling doaj-56bbb1a2e28d4c4dae5d827db99e9d332020-11-25T01:31:24ZengBMCBMC Public Health1471-24582019-03-011911610.1186/s12889-019-6605-8Mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impactsNhung Nghiem0William Leung1Christine Cleghorn2Tony Blakely3Nick Wilson4Department of Public Health, University of OtagoDunedin School of Medicine, University of OtagoDepartment of Public Health, University of OtagoDepartment of Public Health, University of OtagoDepartment of Public Health, University of OtagoAbstract Background Smartphones are increasingly available and some high quality apps are available for smoking cessation. However, the cost-effectiveness of promoting such apps has never been studied. We therefore aimed to estimate the health gain, inequality impacts and cost-utility from a five-year promotion campaign of a smoking cessation smartphone app compared to business-as-usual (no app use for quitting). Methods A well-established Markov macro-simulation model utilising a multi-state life-table was adapted to the intervention (lifetime horizon, 3% discount rate). The setting was the New Zealand (NZ) population (N = 4.4 million). The intervention effect size was from a multi-country randomised trial: relative risk for quitting at 6 months = 2.23 (95%CI: 1.08 to 4.77), albeit subsequently adjusted to consider long-term relapse. Intervention costs were based on NZ mass media promotion data and the NZ cost of attracting a smoker to smoking cessation services (NZ$64 per person). Results The five-year intervention was estimated to generate 6760 QALYs (95%UI: 5420 to 8420) over the remaining lifetime of the population. For Māori (Indigenous population) there was 2.8 times the per capita age-standardised QALY gain relative to non-Māori. The intervention was also estimated to be cost-saving to the health system (saving NZ$115 million [m], 95%UI: 72.5m to 171m; US$81.8m). The cost-saving aspect of the intervention was maintained in scenario and sensitivity analyses where the discount rate was doubled to 6%, the effect size halved, and the intervention run for just 1 year. Conclusions This study provides modelling-level evidence that mass-media promotion of a smartphone app for smoking cessation could generate health gain, reduce ethnic inequalities in health and save health system costs. Nevertheless, there are other tobacco control measures which generate considerably larger health gains and cost-savings such as raising tobacco taxes.http://link.springer.com/article/10.1186/s12889-019-6605-8Smartphone appsSmoking cessationCost-utility analysismHealthTobacco controlMass media
collection DOAJ
language English
format Article
sources DOAJ
author Nhung Nghiem
William Leung
Christine Cleghorn
Tony Blakely
Nick Wilson
spellingShingle Nhung Nghiem
William Leung
Christine Cleghorn
Tony Blakely
Nick Wilson
Mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impacts
BMC Public Health
Smartphone apps
Smoking cessation
Cost-utility analysis
mHealth
Tobacco control
Mass media
author_facet Nhung Nghiem
William Leung
Christine Cleghorn
Tony Blakely
Nick Wilson
author_sort Nhung Nghiem
title Mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impacts
title_short Mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impacts
title_full Mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impacts
title_fullStr Mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impacts
title_full_unstemmed Mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impacts
title_sort mass media promotion of a smartphone smoking cessation app: modelled health and cost-saving impacts
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2019-03-01
description Abstract Background Smartphones are increasingly available and some high quality apps are available for smoking cessation. However, the cost-effectiveness of promoting such apps has never been studied. We therefore aimed to estimate the health gain, inequality impacts and cost-utility from a five-year promotion campaign of a smoking cessation smartphone app compared to business-as-usual (no app use for quitting). Methods A well-established Markov macro-simulation model utilising a multi-state life-table was adapted to the intervention (lifetime horizon, 3% discount rate). The setting was the New Zealand (NZ) population (N = 4.4 million). The intervention effect size was from a multi-country randomised trial: relative risk for quitting at 6 months = 2.23 (95%CI: 1.08 to 4.77), albeit subsequently adjusted to consider long-term relapse. Intervention costs were based on NZ mass media promotion data and the NZ cost of attracting a smoker to smoking cessation services (NZ$64 per person). Results The five-year intervention was estimated to generate 6760 QALYs (95%UI: 5420 to 8420) over the remaining lifetime of the population. For Māori (Indigenous population) there was 2.8 times the per capita age-standardised QALY gain relative to non-Māori. The intervention was also estimated to be cost-saving to the health system (saving NZ$115 million [m], 95%UI: 72.5m to 171m; US$81.8m). The cost-saving aspect of the intervention was maintained in scenario and sensitivity analyses where the discount rate was doubled to 6%, the effect size halved, and the intervention run for just 1 year. Conclusions This study provides modelling-level evidence that mass-media promotion of a smartphone app for smoking cessation could generate health gain, reduce ethnic inequalities in health and save health system costs. Nevertheless, there are other tobacco control measures which generate considerably larger health gains and cost-savings such as raising tobacco taxes.
topic Smartphone apps
Smoking cessation
Cost-utility analysis
mHealth
Tobacco control
Mass media
url http://link.springer.com/article/10.1186/s12889-019-6605-8
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