PS1-6
THE EFFECTIVENESS AND COST-EFFECTIVENESS OF IMPLEMENTING BICYCLE LANES IN THE PREVENTION OF OBESITY AND PERMANENT SEVERE INJURY
Method: We developed a Markov microsimulation model based on data from municipal government reports and the peer-reviewed literature. The proposed bicycle lane will be implemented on an existing road in a typical downtown Toronto neighbourhood, which is 2.7 km long and will serve 67,810 residents living within a 4km radius of the road. We evaluated the impact of bicycle lanes on population health outcomes in a cohort of 20 to 84 year olds, representative of potential cyclists residing in the Toronto neighbourhood. Specific health outcomes considered were obesity and severe injury. Primary outcomes were expected quality-adjusted life years (QALYs) and costs discounted at 5%, and incremental costs per QALY gained. Deterministic and probabilistic sensitivity analyses were conducted to assess parameter uncertainty.
Result: Our results showed expected QALYs of 18.17 and 18.12 with and without bicycle lanes, respectively. The expected cost per person was $334.13 with bicycle lanes and $364.73 without bicycle lanes. Accordingly, implementing bicycle lanes in a downtown Toronto neighbourhood is dominant, indicating that bicycle lane implementation is cost-saving and provides health benefits. The preferred decision was shown to be robust in sensitivity analysis. For the population of 67,810, we estimated a total of 3,391 QALYs gained and cost savings of $2.08 million attributable to bicycle lane implementation.
Conclusion: Our study demonstrates that bicycle lane implementation in a typical downtown Toronto neighbourhood provides health gains at lower cost. The cost-effectiveness of bicycle lanes identified in this study is likely a conservative estimate, as our analysis only accounts for a narrow range of health outcomes and costs. While the QALYs associated with implementing bicycle lanes is only marginally elevated on the individual level, the health benefit is quite sizeable on a population level.
See more of: 37th Annual Meeting of the Society for Medical Decision Making