TY - JOUR
T1 - Police and hospital data linkage for traffic injury surveillance
T2 - A systematic review
AU - Soltani, Ali
AU - Harrison, James Edward
AU - Ryder, Courtney
AU - Flavel, Joanne
AU - Watson, Angela
PY - 2024/3
Y1 - 2024/3
N2 - This systematic review examines studies of traffic injury that involved linkage of police crash data and hospital data and were published from 1994 to 2023 worldwide in English. Inclusion and exclusion criteria were the basis for selecting papers from PubMed, Web of Science, and Scopus, and for identifying additional relevant papers using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and supplementary snowballing (n = 60). The selected papers were reviewed in terms of research objectives, data items and sample size included, temporal and spatial coverage, linkage methods and software tools, as well as linkage rates and most significant findings. Many studies found that the number of clinically significant road injury cases was much higher according to hospital data than crash data. Under-estimation of cases in crash data differs by road user type, pedestrian cases commonly being highly under-counted. A limited number of the papers were from low- and middle-income countries. The papers reviewed lack consistency in what was reported and how, which limited comparability.
AB - This systematic review examines studies of traffic injury that involved linkage of police crash data and hospital data and were published from 1994 to 2023 worldwide in English. Inclusion and exclusion criteria were the basis for selecting papers from PubMed, Web of Science, and Scopus, and for identifying additional relevant papers using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and supplementary snowballing (n = 60). The selected papers were reviewed in terms of research objectives, data items and sample size included, temporal and spatial coverage, linkage methods and software tools, as well as linkage rates and most significant findings. Many studies found that the number of clinically significant road injury cases was much higher according to hospital data than crash data. Under-estimation of cases in crash data differs by road user type, pedestrian cases commonly being highly under-counted. A limited number of the papers were from low- and middle-income countries. The papers reviewed lack consistency in what was reported and how, which limited comparability.
KW - Data linkage
KW - Injury
KW - PRISMA
KW - Systematic review
KW - Traffic crash
UR - http://www.scopus.com/inward/record.url?scp=85181968270&partnerID=8YFLogxK
U2 - 10.1016/j.aap.2023.107426
DO - 10.1016/j.aap.2023.107426
M3 - Article
C2 - 38183692
AN - SCOPUS:85181968270
SN - 0001-4575
VL - 197
JO - Accident Analysis and Prevention
JF - Accident Analysis and Prevention
M1 - 107426
ER -
