Economic Evaluation of Five Tobacco Control Policies Across Seven European Countries

Identifying best modelling practices for tobacco control policy simulations: a systematic review and a novel quality assessment framework

BACKGROUND

Policy simulation models (PSMs) have been used extensively to shape health policies before real-world implementation and evaluate post-implementation impact. This systematic review aimed to examine best practices, identify common pitfalls in tobacco control PSMs and propose a modelling quality assessment framework.

METHODS

We searched five databases to identify eligible publications from July 2013 to August 2019. We additionally included papers from Feirman et al for studies before July 2013. Tobacco control PSMs that project tobacco use and tobacco-related outcomes from smoking policies were included. We extracted model inputs, structure and outputs data for models used in two or more included papers. Using our proposed quality assessment framework, we scored these models on population representativeness, policy effectiveness evidence, simulated smoking histories, included smoking-related diseases, exposure-outcome lag time, transparency, sensitivity analysis, validation and equity.

FINDINGS

We found 146 eligible papers and 25 distinct models. Most models used population data from public or administrative registries, and all performed sensitivity analysis. However, smoking behaviour was commonly modelled into crude categories of smoking status. Eight models only presented overall changes in mortality rather than explicitly considering smoking-related diseases. Only four models reported impacts on health inequalities, and none offered the source code. Overall, the higher scored models achieved higher citation rates.

CONCLUSIONS

While fragments of good practices were widespread across the reviewed PSMs, only a few included a 'critical mass' of the good practices specified in our quality assessment framework. This framework might, therefore, potentially serve as a benchmark and support sharing of good modelling practices.

Cost-Effectiveness Analysis of Tobacco Control Strategies in Indonesia

OBJECTIVES

In Indonesia, tobacco smoking is a significant public health problem that continues to grow, with a prevalence among the highest worldwide. This study aimed to assess the cost-effectiveness of government-funded varenicline, smoking bans in public places, and an additional 10% tobacco tax in Indonesia.

METHODS

Markov modeling of Indonesians aged 15 to 84 years was undertaken, with simulated follow-up until age 85 years. Data on demographics, smoking prevalence, and mortality were drawn from the Global Burden of Disease Study 2017. Data regarding the efficacy and costs of the 3 interventions were gathered from published sources. Costs and benefits accrued beyond one year were discounted at 3% per annum. The year value of costing data was 2020.

RESULTS

Government-funded varenicline, smoking bans in public places, and an additional 10% tobacco tax were predicted to save 5.5 million, 1.6 million, and 1.7 million years of life, respectively (all discounted). In terms of quality-adjusted life-years, 3 tobacco interventions were predicted to gain 11.9 million, 3.47 million, and 3.78 million in quality-adjusted life-years, respectively. The savings in smoking-related healthcare costs amounted to US $313.8 billion, US $97.5 billion, and US $106 billion, respectively. Hence, from the perspective of the healthcare system, all 3 interventions were cost saving (dominant).

CONCLUSIONS

In Indonesia, tobacco control measures are likely to be highly cost-effective and even cost saving from the healthcare system's perspective. These cost savings can be balanced against economic losses that would result from the impact on the sizable Indonesian tobacco industry.