161
Views
0
CrossRef citations to date
0
Altmetric
Articles

Identify the key characteristics of pedestrian collisions through in-depth interviews: a pilot study

, , ORCID Icon, , , ORCID Icon, & ORCID Icon show all
Pages 135-140 | Received 13 Sep 2020, Accepted 11 Jan 2021, Published online: 31 Jan 2021
 

Abstract

This study aimed to assess the feasibility of recruiting injured pedestrians from the emergency department of a major trauma centre, using an in-depth interview shortly post collision. Convenience sampling was used to prospectively recruit injured pedestrians from the Alfred Hospital Emergency and Trauma Centre. Of the 102 injured pedestrians, 39 met eligibility criteria and of these, 30 (77%) consented and completed the questionnaire. Over half of the collisions occurred at an intersection (57%), and of these the most common pre-impact vehicle manoeuvre was a vehicle turning into the street the pedestrian was crossing. In-depth interview during the early post-crash period was a feasible and effective method of collecting detailed data in an accessible sample. However, only 38% of patients met eligibility criteria. To enhance representativeness, supplementing interview data with police-reported crash data, recruiting from hospital wards and crash location assessment is recommended.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

BB was supported by an Australian Research Council Discovery Early Career Researcher Award Fellowship (DE180100825). BG was supported by an Australian Research Council Future Fellowship (FT170100048). PC was supported by MRFF Practitioner Fellowship (MRF1139686).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 523.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.