Costs and benefits of a bicycle helmet law for Germany

Sieg, Gernot

doi:10.1007/s11116-015-9632-z

Cited by 14 publications

(12 citation statements)

References 29 publications

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“…Our findings are in line with the existing literature. However, most previous economic evaluations of helmet laws have used cost-benefit methods rather than costeffectiveness analysis [36,43]. Economic evaluations that use a societal perspective of costs generally agree that a helmet law is not beneficial, i.e.…”

Section: Discussionmentioning

confidence: 99%

“…The mean bicycle helmet price was estimated in the same way as was done in German cost-benefit-research [43]. The cost of the cheapest helmet of good quality in the most recent review of 'Stiftung Warentest' (consumer product tests) was used and was indexed to Euros 2017 [44][45][46].…”

Section: Helmet Costsmentioning

confidence: 99%

“…Everyone from the age of fifteen onwards was assumed to wear a helmet for adults. Helmets were assumed to be replaced every 5 years, as this is a period that is cited frequently in other bicycle helmet research [43]. Yearly helmet costs were calculated as one fifth of these total costs.…”

Section: Helmet Costsmentioning

confidence: 99%

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Cost-effectiveness of mandatory bicycle helmet use to prevent traumatic brain injuries and death

et al. 2020

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Background: Traumatic brain injury (TBI) is the main cause of mortality and severe morbidity in cyclists admitted to Dutch emergency departments (EDs). Although the use of bicycle helmets is an effective way of preventing TBI, this is uncommon in the Netherlands. An option to increase its use is through a legal enforcement. However, little is known about the cost-effectiveness of such mandatory use of helmets in the Dutch context. The current study aimed to assess the cost-effectiveness of a law that enforces helmet use to reduce TBI and TBIrelated mortality. Methods: The cost-effectiveness was estimated through decision tree modelling. In this study, wearing bicycle helmets enforced by law was compared with the current situation of infrequent voluntary helmet use. The total Dutch cycling population, consisting of 13.5 million people, was included in the model. Model data and parameters were obtained from Statistics Netherlands, the National Road Traffic Database, Dutch Injury Surveillance System, and literature. Effects included were numbers of TBI, death, and disability-adjusted life years (DALY). Costs included were healthcare costs, costs of productivity losses, and helmet costs. Sensitivity analysis was performed to assess which parameter had the largest influence on the incremental cost-effectiveness ratio (ICER). Results: The intervention would lead to an estimated reduction of 2942 cases of TBI and 46 deaths. Overall, the incremental costs per 1) death averted, 2) per TBI averted, and 3) per DALY averted were estimated at 1) € 2,002,766, 2) € 31,028 and 3) € 28,465, respectively. Most favorable were the incremental costs per DALY in the 65+ age group: € 17,775. Conclusions: The overall costs per DALY averted surpassed the Dutch willingness to pay threshold value of € 20, 000 for cost-effectiveness of preventive interventions. However, the cost per DALY averted for the elderly was below this threshold, indicating that in this age group largest effects can be reached. If the price of a helmet would reduce by 20%, which is non-hypothetical in a situation of large-scale purchases and use of these helmets, the introduction of this regulation would result in an intervention that is almost cost-effective in all age groups.

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Section: Discussionmentioning

confidence: 99%

Section: Helmet Costsmentioning

confidence: 99%

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Cost-effectiveness of mandatory bicycle helmet use to prevent traumatic brain injuries and death

et al. 2020

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“…Much previous research on cyclist injury severity has examined cyclist characteristics, often focusing on helmet wearing and head injuries [2]. Another group of studies examined (mis)behaviours including use of alcohol or drugs [3].…”

Section: Introductionmentioning

confidence: 99%

Cyclist Injury Severity in Spain: A Bayesian Analysis of Police Road Injury Data Focusing on Involved Vehicles and Route Environment

Aldred

Herrero

Anaya

et al. 2019

IJERPH

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This study analyses factors associated with cyclist injury severity, focusing on vehicle type, route environment, and interactions between them. Data analysed was collected by Spanish police during 2016 and includes records relating to 12,318 drivers and cyclist involving in collisions with at least one injured cyclist, of whom 7230 were injured cyclists. Bayesian methods were used to model relationships between cyclist injury severity and circumstances related to the crash, with the outcome variable being whether a cyclist was killed or seriously injured (KSI) rather than slightly injured. Factors in the model included those relating to the injured cyclist, the route environment, and involved motorists. Injury severity among cyclists was likely to be higher where an Heavy Goods Vehicle (HGV) was involved, and certain route conditions (bicycle infrastructure, 30 kph zones, and urban zones) were associated with lower injury severity. Interactions exist between the two: collisions involving large vehicles in lower-risk environments are less likely to lead to KSIs than collisions involving large vehicles in higher-risk environments. Finally, motorists involved in a collision were more likely than the injured cyclists to have committed an error or infraction. The study supports the creation of infrastructure that separates cyclists from motor traffic. Also, action needs to be taken to address motorist behaviour, given the imbalance between responsibility and risk.

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“…Although the paper focuses on cycling infrastructure, several of the issues discussed are also relevant for other cycling policies. That CBA can also be used for other cycling policies is demonstrated by Sieg (2014) who carried out a CBA analysis for a bicycle helmet law in Germany. Some of the discussions are not only relevant for CBA-based evaluations of cycling policies but also for other applications of CBA.…”

Section: Introductionmentioning

confidence: 99%