Method paper--distance and travel time to casualty clinics in Norway based on crowdsourced postcode coordinates: a comparison with other methods.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 24551243.
- Also identified by DOI 10.1371/journal.pone.0089287 and PMC identifier 3925236.
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Abstract
We describe a method that uses crowdsourced postcode coordinates and Google maps to estimate average distance and travel time for inhabitants of a municipality to a casualty clinic in Norway. The new method was compared with methods based on population centroids, median distance and town hall location, and we used it to examine how distance affects the utilisation of out-of-hours primary care services. At short distances our method showed good correlation with mean travel time and distance. The utilisation of out-of-hours services correlated with postcode based distances similar to previous research. The results show that our method is a reliable and useful tool for estimating average travel distances and travel times.
Medical subject headings
- Cities
- Crowdsourcing
- Crowdsourcing/methods
- Health Services Accessibility
- Nonlinear Dynamics
- Norway
- Referral and Consultation
- Regression Analysis
- Time Factors
- Travel