TY - JOUR
T1 - A socio-spatial analysis of pedestrian falls in Aotearoa New Zealand
AU - Watkins, A.
AU - Curl, A.
AU - Mavoa, S.
AU - Tomintz, M.
AU - Todd, V.
AU - Dicker, B.
N1 - Funding Information:
The authors would like to thank the Geospatial Research Institute, University of Canterbury for the seed funding which enabled this project, the St John Clinical Audit and Research Team who provided the data for this study, the GeoHealth lab for providing spatial data sets, Dr Jesse Wiki for the food store location data, and Andrew Douglas-Clifford for the python code for the Dark Sky API.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/11
Y1 - 2021/11
N2 - Falls are a leading cause of injury and accidental death, particularly amongst older people. Evidence of environmental risk factors for pedestrian falls among older adults could support age-friendly urban design and contribute to efforts to reduce the incidence of pedestrian falls and support outdoor mobility among older adults. Yet investigation of the environment in which pedestrian falls occur is often hampered by its reliance on participant recall and self-report information. We identified the point locations of falls occurring on the road or street among adults that were attended by an ambulance in New Zealand over a two-year period (2016–2018) and connected these to a range of social (e.g. deprivation) and environmental (e.g. slope, greenspace) risk factors. Three types of analysis were used: a descriptive analysis of fall rates, logistic regression assessing whether a patient was transported to hospital following a fall, and a negative binomial regression analysis of the pedestrian falls by small area. We found a number of differences in the built environment surrounding fall locations between age groups. Compared with younger age groups, older adults showed high fall rates closer to home, and higher fall rates in areas with many types of destinations nearby. Additionally, our results showed a higher rate of pedestrian falls in more deprived areas. People who live in more deprived areas also fell over more frequently, but the pattern is stronger based on deprivation at the fall location, rather than home location. Residents of more deprived areas were less likely to be transported to hospital following a fall. Thus, our findings have equity implications for both environments and patient experience. These patterns could not have been identified without the novel use of spatially specific fall data.
AB - Falls are a leading cause of injury and accidental death, particularly amongst older people. Evidence of environmental risk factors for pedestrian falls among older adults could support age-friendly urban design and contribute to efforts to reduce the incidence of pedestrian falls and support outdoor mobility among older adults. Yet investigation of the environment in which pedestrian falls occur is often hampered by its reliance on participant recall and self-report information. We identified the point locations of falls occurring on the road or street among adults that were attended by an ambulance in New Zealand over a two-year period (2016–2018) and connected these to a range of social (e.g. deprivation) and environmental (e.g. slope, greenspace) risk factors. Three types of analysis were used: a descriptive analysis of fall rates, logistic regression assessing whether a patient was transported to hospital following a fall, and a negative binomial regression analysis of the pedestrian falls by small area. We found a number of differences in the built environment surrounding fall locations between age groups. Compared with younger age groups, older adults showed high fall rates closer to home, and higher fall rates in areas with many types of destinations nearby. Additionally, our results showed a higher rate of pedestrian falls in more deprived areas. People who live in more deprived areas also fell over more frequently, but the pattern is stronger based on deprivation at the fall location, rather than home location. Residents of more deprived areas were less likely to be transported to hospital following a fall. Thus, our findings have equity implications for both environments and patient experience. These patterns could not have been identified without the novel use of spatially specific fall data.
KW - Environmental characteristics
KW - Geospatial analysis
KW - Older adults
KW - Outdoor falls
KW - Pedestrian falls
UR - http://www.scopus.com/inward/record.url?scp=85088793296&partnerID=8YFLogxK
U2 - 10.1016/j.socscimed.2020.113212
DO - 10.1016/j.socscimed.2020.113212
M3 - Article
C2 - 32732095
AN - SCOPUS:85088793296
SN - 0277-9536
VL - 288
SP - 1
EP - 9
JO - Social Science and Medicine
JF - Social Science and Medicine
M1 - 113212
ER -