Asset Details
Do you wish to reserve the book?
Where should we go - Estimating travel times for modelling accessibility to 24-hour emergency departments in Canada
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Where should we go - Estimating travel times for modelling accessibility to 24-hour emergency departments in Canada
Do you wish to request the book?
Where should we go - Estimating travel times for modelling accessibility to 24-hour emergency departments in Canada
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Where should we go - Estimating travel times for modelling accessibility to 24-hour emergency departments in Canada
2024
Overview
Estimating travel time to 24-hour emergency services is an important component to modelling accessibility of health services, particularly for rural areas. However, methods used to estimate travel time vary significantly, are not representative of the residential population, and are not openly validated. This makes the assessment of travel-based accessibility metrics between studies incomparable. To address this issue and develop a standardized measurement of emergency service access, this study utilized small geographic units (Dissemination Areas – DA) and geographical boundaries representative of municipal equivalents (Census Subdivision – CSD). Estimated travel times between the centroid of an inhabited DA to each 24-hr emergency department was computed with population-weighted travel times generated for each CSD. This dataset provides a nationally consistent measurement of proximity to emergency services accounting for travel pathing and population distribution. This methodology can be extended to generate estimated shortest travel routes for other healthcare resources or develop actual travel routes based on individuals’ experiences with the healthcare system.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
