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Vu GT, Stjepanović D, Sun T, Leung J, Chung J, Connor J, Thai PK, Gartner CE, Tran BX, Hall WD, Chan G. Predicting the long-term effects of electronic cigarette use on population health: a systematic review of modelling studies. Tob Control 2024; 33:790-797. [PMID: 37295941 DOI: 10.1136/tc-2022-057748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 05/29/2023] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To systematically review and synthesise the findings of modelling studies on the population impacts of e-cigarette use and to identify potential gaps requiring future investigation. DATA SOURCE AND STUDY SELECTION Four databases were searched for modelling studies of e-cigarette use on population health published between 2010 and 2023. A total of 32 studies were included. DATA EXTRACTION Data on study characteristics, model attributes and estimates of population impacts including health outcomes and smoking prevalence were extracted from each article. The findings were synthesised narratively. DATA SYNTHESIS The introduction of e-cigarettes was predicted to lead to decreased smoking-related mortality, increased quality-adjusted life-years and reduced health system costs in 29 studies. Seventeen studies predicted a lower prevalence of cigarette smoking. Models that predicted negative population impacts assumed very high e-cigarette initiation rates among non-smokers and that e-cigarette use would discourage smoking cessation by a large margin. The majority of the studies were based on US population data and few studies included factors other than smoking status, such as jurisdictional tobacco control policies or social influence. CONCLUSIONS A population increase in e-cigarette use may result in lower smoking prevalence and reduced burden of disease in the long run, especially if their use can be restricted to assisting smoking cessation. Given the assumption-dependent nature of modelling outcomes, future modelling studies should consider incorporating different policy options in their projection exercises, using shorter time horizons and expanding their modelling to low-income and middle-income countries where smoking rates remain relatively high.
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Affiliation(s)
- Giang T Vu
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Queensland, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Daniel Stjepanović
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Tianze Sun
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Queensland, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Janni Leung
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Queensland, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Jack Chung
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Queensland, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Jason Connor
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Queensland, Australia
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
- Discipline of Psychiatry, The University of Queensland, Brisbane, Queensland, Australia
| | - Phong K Thai
- Queensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Coral E Gartner
- NHMRC Centre of Research Excellence on Achieving the Tobacco Endgame, School of Public Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Bach Xuan Tran
- Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Viet Nam
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Wayne D Hall
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Queensland, Australia
- Queensland Alliance for Environmental Health Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Gary Chan
- National Centre for Youth Substance Use Research, The University of Queensland, Brisbane, Queensland, Australia
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Collins LG, Lindsay D, Lal A, Doan T, Schüz J, Jongenelis M, Scollo M. A systematic review of the modelling and economic evaluation studies assessing regulatory options for e-cigarette use. THE INTERNATIONAL JOURNAL OF DRUG POLICY 2024; 129:104476. [PMID: 38851141 DOI: 10.1016/j.drugpo.2024.104476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/30/2024] [Accepted: 06/02/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Governments around the world are considering regulating access to nicotine e-cigarettes to prevent uptake among youth however people that smoke tobacco may use them to assist with smoking cessation. The health and cost implications of regulating e-cigarette use among populations are unknown but have been explored in modelling studies. We reviewed health economic evaluation and simulation modelling studies that assessed long-term consequences and interpret their potential usefulness for decision-makers. METHODS A systematic review with a narrative synthesis was undertaken. Six databases were searched for modelling studies evaluating population-level e-cigarette control policies or interventions restricting e-cigarette use versus more liberalized use. Studies were required to report the outcomes of life years, quality-adjusted life years (QALYs) and/or healthcare costs. The quality of the studies was assessed using two quality assessment tools. RESULTS In total, 15 studies were included with nine for the United States and one each for the United Kingdom, Italy, Australia, Singapore, Canada, and New Zealand. Three studies included cost-utility analyses. Most studies involved health state transition (or Markov) closed cohort models. Many studies had limitations with their model structures, data input quality and transparency, and insufficient analyses handling model uncertainty. Findings were mixed with 11 studies concluding that policies permitting e-cigarette use lead to net benefits and 4 studies concluding net losses in life-years or QALYs and/or healthcare costs.Five studies had industry conflicts of interest. CONCLUSIONS While authors did conclude net benefit than net harm in more of the studies so far conducted, the significant limitations that we identified with many of the studies in this review, make it uncertain whether or not countries can expect net population harms or benefits of restrictive versus unrestrictive e-cigarette policies. The generalizability of the findings is limited for decision-makers. In light of the deep uncertainty around the health and economic outcomes of e-cigarettes, simulation modelling methods and uncertainty analyses should be strengthened.
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Affiliation(s)
- Louisa G Collins
- QIMR Berghofer Medical Research Institute, Population Health Program, Brisbane, Queensland, Australia; Queensland University of Technology (QUT), School of Nursing, Brisbane, Queensland, Australia; The University of Queensland, School of Public Health, Brisbane, Queensland, Australia.
| | - Daniel Lindsay
- QIMR Berghofer Medical Research Institute, Population Health Program, Brisbane, Queensland, Australia
| | - Anita Lal
- Deakin Health Economics, Deakin University
| | - Tan Doan
- Queensland Ambulance Service, Department of Health, Brisbane, Australia
| | - Joachim Schüz
- International Agency for Research in Cancer, World Health Organization, Lyon, France
| | - Michelle Jongenelis
- The University of Melbourne, Melbourne School of Psychological Sciences, Melbourne, Victoria
| | - Michelle Scollo
- Cancer Council Victoria, Centre for Behavioural Research in Cancer, Melbourne, Victoria, Australia
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Gordon LG, Preston P. Healthcare costs attributable to e-cigarette use and subsequent uptake of cigarette smoking by Australians who have never smoked. AUST HEALTH REV 2024; 48:52-57. [PMID: 38127822 DOI: 10.1071/ah23178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023]
Abstract
Objective New legislation to curb the rapid increase in e-cigarette use among youth is underway. We estimated the future healthcare costs for chronic diseases from e-cigarette use among never smokers who transition to tobacco smoking. Methods Using population-attributable fractions, we estimated the health expenditure attributable to e-cigarettes based on the prevalence of e-cigarette use, uptake of tobacco smoking, and risk of smoking on developing chronic disease. Data for men and women were derived from published reports on e-cigarette use prevalence, risk of smoking-related disease and addiction, and health expenditure for 25 diseases. Sensitivity analyses were undertaken to address data input variation. Results Future healthcare costs attributed to new e-cigarette-initiated smokers were conservatively estimated to be (in Australian dollars) $179.6 million annually. Collectively, the estimated costs were highest for respiratory diseases ($102.2 million; 57% of total costs), malignant cancers ($49.6 million; 28%), and cardiovascular disease ($27.7 million; 15%). The uptake rate of e-cigarettes was more important in driving healthcare costs than the proportion moving from e-cigarettes to cigarette smoking. Conclusion High avoidable health system costs are predicted for the treatment of chronic conditions created by e-cigarette-initiated smoking. These costs exclude the immediate and direct healthcare harms of e-cigarette-related poisoning, lung injury, and respiratory problems, and costs associated with the unknown health harms of e-cigarette use alone. The proposed regulations to curb recreational e-cigarette use in Australia are set to prevent expensive health care arising sometime in the future from new cigarette smokers.
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Affiliation(s)
- Louisa G Gordon
- QIMR Berghofer Medical Research Institute, Population Health Program, Brisbane, Qld, Australia; and School of Nursing, Queensland University of Technology (QUT), Brisbane, Qld, Australia; and School of Public Health, The University of Queensland, Brisbane, Qld, Australia
| | - Paige Preston
- School of Public Health, The University of Queensland, Brisbane, Qld, Australia; and Lung Foundation Australia, Level 2/11 Finchley Street, Milton, Qld 4064, Australia
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