We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Studies suggest that addressing the needs of the older population in rural areas may substantially reduce their low-urgency use of emergency medical services (LUEMS). It may ultimately also help improve the efficiency in our health system. There is, however, a dearth of evidence substantiating geographic patterns in LUEMS by different age cohorts. This exploratory study was aimed to clarify the understanding of emergency medical services (EMS) use in Nova Scotia through a geographic analysis.
Methods
Records with Canadian Triage and Acuity Scale of 4 and 5 were considered as LUEMS. We assessed the distribution of LUEMS incidence rates (proportion of LUEMS out of all EMS uses) by age and rurality, using descriptive statistics and Geographic Information Systems mapping.
Results
Nearly half of all EMS transports were individuals of 65+ years of age; 35% of those were LUEMS. The rates increased along with the level of rurality, and the older cohort had the highest incidence rates in non-metro communities. High rates were seen primarily in some rural communities farthest away from the capital/tertiary care centre.
Conclusion
High LUEMS incidence rates are rural phenomena but not specific to the older population. However, the absolute number of LUEMS by the older cohort is significant, and elder-specific interventions in rural regions could still lead to effective cost savings. Further investigation of other factors, such as distance to the emergency department, availability of public transportation, and socioeconomic conditions of EMS users, is needed.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.