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Tobacco retail outlet restrictions: health and cost impacts from multistate life-table modelling in a national population

Overview of attention for article published in Tobacco Control, September 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

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2 blogs
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1 policy source
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57 Mendeley
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Article details
Title
Tobacco retail outlet restrictions: health and cost impacts from multistate life-table modelling in a national population
Published in
Tobacco Control, September 2016
DOI 10.1136/tobaccocontrol-2015-052846
Pubmed ID
Authors
Abstract

Since there is some evidence that the density and distribution of tobacco retail outlets may influence smoking behaviours, we aimed to estimate the impacts of 4 tobacco outlet reduction interventions in a country with a smoke-free goal: New Zealand (NZ). A multistate life-table model of 16 tobacco-related diseases, using national data by sex, age and ethnicity, was used to estimate quality-adjusted life years (QALYs) gained and net costs over the remainder of the 2011 NZ population's lifetime. The outlet reduction interventions assumed that increased travel costs can be operationalised as equivalent to price increases in tobacco. All 4 modelled interventions led to reductions of >89% of current tobacco outlets after the 10-year phase-in process. The most effective intervention limited sales to half of liquor stores (and nowhere else) at 129 000 QALYs gained over the lifetime of the population (95% UI: 74 100 to 212 000, undiscounted). The per capita QALY gains were up to 5 times greater for Māori (indigenous population) compared to non-Māori. All interventions were cost-saving to the health system, with the largest saving for the liquor store only intervention: US$1.23 billion (95% UI: $0.70 to $2.00 billion, undiscounted). These tobacco outlet reductions reduced smoking prevalence, achieved health gains and saved health system costs. Effects would be larger if outlet reductions have additional spill-over effects (eg, smoking denormalisation). While these interventions were not as effective as tobacco tax increases (using the same model), these and other strategies could be combined to maximise health gain and to maximise cost-savings to the health system.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 19%
Other 10 18%
Student > Master 7 12%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 4 7%
Other 5 9%
Unknown 15 26%
Readers by discipline
Readers by discipline Count As %
Social Sciences 10 18%
Economics, Econometrics and Finance 6 11%
Nursing and Health Professions 5 9%
Medicine and Dentistry 4 7%
Business, Management and Accounting 3 5%
Other 9 16%
Unknown 20 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2021.
All research outputs
#1,987,080
of 28,766,646 outputs
Outputs from Tobacco Control
#1,005
of 3,662 outputs
Outputs of similar age
#29,730
of 312,689 outputs
Outputs of similar age from Tobacco Control
#33
of 67 outputs
Altmetric has tracked 28,766,646 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.2. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,689 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.