The Delphi process allowed a consensus to be achieved in an area where there are limitations to the current evidence.
AimsTobacco tax increases are the most effective means of reducing tobacco use and inequalities in smoking, but effectiveness depends on transnational tobacco company (TTC) pricing strategies, specifically whether TTCs overshift tax increases (increase prices on top of the tax increase) or undershift the taxes (absorb the tax increases so they are not passed onto consumers), about which little is known.DesignReview of literature on brand segmentation. Analysis of 1999–2009 data to explore the extent to which tax increases are shifted to consumers, if this differs by brand segment and whether cigarette price indices accurately reflect cigarette prices.SettingUK.ParticipantsUK smokers.MeasurementsReal cigarette prices, volumes and net-of-tax- revenue by price segment.FindingsTTCs categorise brands into four price segments: premium, economy, mid and ‘ultra-low price’ (ULP). TTCs have sold ULP brands since 2006; since then, their real price has remained virtually static and market share doubled. The price gap between premium and ULP brands is increasing because the industry differentially shifts tax increases between brand segments; while, on average, taxes are overshifted, taxes on ULP brands are not always fully passed onto consumers (being absorbed at the point each year when tobacco taxes increase). Price indices reflect the price of premium brands only and fail to detect these problems.ConclusionsIndustry-initiated cigarette price changes in the UK appear timed to accentuate the price gap between premium and ULP brands. Increasing the prices of more expensive cigarettes on top of tobacco tax increases should benefit public health, but the growing price gap enables smokers to downtrade to cheaper tobacco products and may explain smoking-related inequalities. Governments must monitor cigarette prices by price segment and consider industry pricing strategies in setting tobacco tax policies.
BackgroundIn Britain, the tobacco industry segments cigarettes into four price categories—premium, mid-price, economy and ultra-low-price (ULP). Our previous work shows that tobacco companies have kept ULP prices stable in real terms. Roll your own (RYO) tobacco remains cheaper still.MethodsAnalysis of 2001–08 General Household Survey data to examine trends in use of these cheap products and, using logistic regression, the profile of users of these products.ResultsAmong smokers, the proportion using cheap products (economy, ULP and RYO combined) increased significantly in almost all age groups and geographic areas. Increases were most marked in under 24 year olds, 76% of whom smoked cheap cigarettes by 2008. All cheap products were more commonly used in lower socio-economic groups. Men and younger smokers were more likely to smoke RYO while women smoked economy brands. Smokers outside London and the South East of England were more likely to smoke some form of cheap tobacco even once socio-economic differences were accounted for.ConclusionsThis paper demonstrates that cheap tobacco use is increasing among young and disadvantaged smokers compromising declines in population smoking prevalence. Thus, tobacco industry pricing appears to play a key role in explaining smoking patterns and inequalities in smoking.
Background: the oldest old (85+) pose complex medical challenges. Both underdiagnosis and overdiagnosis are claimed in this group.Objective: to estimate diagnosis, prescribing and hospital admission prevalence from 2003/4 to 2011/12, to monitor trends in medicalisation.Design and setting: observational study of Clinical Practice Research Datalink (CPRD) electronic medical records from general practice populations (eligible; n = 27,109) with oversampling of the oldest old.Methods: we identified 18 common diseases and five geriatric syndromes (dizziness, incontinence, skin ulcers, falls and fractures) from Read codes. We counted medications prescribed ≥1 time in all quarters of studied years.Results: there were major increases in recorded prevalence of most conditions in the 85+ group, especially chronic kidney disease (stages 3–5: prevalence <1% rising to 36.4%). The proportions of the 85+ group with ≥3 conditions rose from 32.2 to 55.1% (27.1 to 35.1% in the 65–84 year group). Geriatric syndrome trends were less marked. In the 85+ age group the proportion receiving no chronically prescribed medications fell from 29.6 to 13.6%, while the proportion on ≥3 rose from 44.6 to 66.2%. The proportion of 85+ year olds with ≥1 hospital admissions per year rose from 27.6 to 35.4%.Conclusions: there has been a dramatic increase in the medicalisation of the oldest old, evident in increased diagnosis (likely partly due to better record keeping) but also increased prescribing and hospitalisation. Diagnostic trends especially for chronic kidney disease may raise concerns about overdiagnosis. These findings provide new urgency to questions about the appropriateness of multiple diagnostic labelling.
BackgroundHigh risk medications are commonly prescribed to older US patients. Currently, less is known about high risk medication prescribing in other Western Countries, including the UK. We measured trends and correlates of high risk medication prescribing in a subset of the older UK population (community/institutionalized) to inform harm minimization efforts.MethodsThree cross-sectional samples from primary care electronic clinical records (UK Clinical Practice Research Datalink, CPRD) in fiscal years 2003/04, 2007/08 and 2011/12 were taken. This yielded a sample of 13,900 people aged 65 years or over from 504 UK general practices. High risk medications were defined by 2012 Beers Criteria adapted for the UK. Using descriptive statistical methods and regression modelling, prevalence of ‘any’ (drugs prescribed at least once per year) and ‘long-term’ (drugs prescribed all quarters of year) high risk medication prescribing and correlates were determined.ResultsWhile polypharmacy rates have risen sharply, high risk medication prevalence has remained stable across a decade. A third of older (65+) people are exposed to high risk medications, but only half of the total prevalence was long-term (any = 38.4 % [95 % CI: 36.3, 40.5]; long-term = 17.4 % [15.9, 19.9] in 2011/12). Long-term but not any high risk medication exposure was associated with older ages (85 years or over). Women and people with higher polypharmacy burden were at greater risk of exposure; lower socio-economic status was not associated. Ten drugs/drug classes accounted for most of high risk medication prescribing in 2011/12.ConclusionsHigh risk medication prescribing has not increased over time against a background of increasing polypharmacy in the UK. Half of patients receiving high risk medications do so for less than a year. Reducing or optimising the use of a limited number of drugs could dramatically reduce high risk medications in older people. Further research is needed to investigate why the oldest old and women are at greater risk. Interventions to reduce high risk medications may need to target shorter and long-term use separately.Electronic supplementary materialThe online version of this article (doi:10.1186/s12877-015-0143-8) contains supplementary material, which is available to authorized users.
Background Tobacco tax increases are the most effective means of reducing tobacco use and inequalities in smoking but effectiveness depends on transnational tobacco company (TTC) pricing strategies, specifically whether TTCs overshift tax increases (increase prices on top of the tax increase) or undershift the taxes (absorb the tax increases so they are not passed onto consumers), about which very little is known. Our routine monitoring of TTC activity had shown that, despite falling sales and consumers shifting down to cheaper cigarette brands, TTC profits were increasing. We therefore aimed to examine tobacco industry pricing strategy in Britain and the extent to which it might undermine the public health objectives of tobacco taxation policy. Methods A. Review of industry and retail literature was used to inform the allocation of cigarette brands to price segments. Analysis survey, commercial and routine data covering the period 1999 to 2009 was used to explore (i) value and volume market share by price segment; (ii) real price trends using CPI indexation; (iii) revenue by price segment; (iv) the extent to which tax increases were transferred to consumers and whether this differs by price segment; (v) whether commonly used price indices, including the retail price index for cigarettes accurately reflect price trends when compared with the weighted average price of cigarettes. B. TTCs categorise brands into four price segments: premium, economy, mid and “ultra-low-price” (ULP). TTCs have only sold ULP brands since 2006 whence their real price has remained virtually static and their market share doubled. The price gap between premium and ULP brands is increasing because the industry differentially shifts tax increases between brand segments: while on average taxes are overshifted, taxes on ULP brands are not always fully passed onto consumers. Most notably, at the point each year when tobacco taxes increase, the industry is absorbing taxes on the ULP brands. Price indices reflect the price of premium brands only, despite the fact that the market share of premium brands has fallen substantially over time and thus fail to detect these problems. Conclusion Industry initiated price changes appear timed to reassure price-sensitive smokers and accentuate the price gap. While overshifting should benefit public health, the growing price-gap enables downtrading to cheaper products and may explain smoking-related inequalities. Governments must monitor cigarette prices by price segment and consider industry pricing strategies in setting tobacco tax policies. Monitoring of corporate activities can inform public health policy developments.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.