TY - JOUR
T1 - Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in Victoria
AU - Eliakundu, Amminadab L.
AU - Smith, Karen
AU - Kilkenny, Monique F.
AU - Kim, Joosup
AU - Bagot, Kathleen L.
AU - Andrew, Emily
AU - Cox, Shelley
AU - Bladin, Christopher F.
AU - Cadilhac, Dominique A.
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was funded by a Stroke Foundation Seed Grant for Research (APPSeed1808).The following authors receive Research Fellowship support from the NHMRC: MFK (1109426); DAC (11542730). EA receives an NHMRC Post-Graduate Scholarship (2003449). ALE receives a Departmental Scholarship from Monash University. Other: The AuSCR was supported by grants from the National Health and Medical Research Council (NHMRC: 1034415), Monash University, Queensland Health, Victorian Department of Health and Human Services, the Stroke Foundation, Allergan Australia, Ipsen, Boehringer Ingelheim, and consumer donations.
Funding Information:
We acknowledge members of the AuSCR Steering Committee, staff from the Florey Institute of Neuroscience and Mental Health who manage the AuSCR, and the hospital clinicians and patients who contribute data to the AuSCR. We also acknowledge the Data Linkage Units from Victoria, and the Ambulance Victoria Centre for Research and Evaluation who linked and provided access to the data used in this study. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was funded by a Stroke Foundation Seed Grant for Research (APPSeed1808).The following authors receive Research Fellowship support from the NHMRC: MFK (1109426); DAC (11542730). EA receives an NHMRC Post-Graduate Scholarship (2003449). ALE receives a Departmental Scholarship from Monash University. Other: The AuSCR was supported by grants from the National Health and Medical Research Council (NHMRC: 1034415), Monash University, Queensland Health, Victorian Department of Health and Human Services, the Stroke Foundation, Allergan Australia, Ipsen, Boehringer Ingelheim, and consumer donations.
Publisher Copyright:
© The Author(s) 2022.
PY - 2022/5
Y1 - 2022/5
N2 - Objective: In Australia, approximately 3 in 4 people with acute stroke use an ambulance. Few examples of merging ambulance clinical records, hospital government data, and national registry data for stroke exist. We sought to understand the advantages of using linked datasets for describing the full clinical journey of people with stroke and the possibility of investigating their long-term outcomes based on pre-hospital management of stroke. Method: Patient-level data from the Australian Stroke Clinical Registry (AuSCR) (January 2013-October 2017) were linked with Ambulance Victoria (AV) records and Victorian Emergency Minimum Dataset (VEMD). Probabilistic iterative matching on personal identifiers were used and records merged with a project specific identification number. Results: Of the 7,373 episodes in the AuSCR and 6,001 in the AV dataset; 4,569 (62%) were matched. Unmatched records that were positive for “arrival by ambulance” in the AuSCR and VEMD (no corresponding record in AV) were submitted to AV. AV were able to identify 148/435 additional records related to these episodes. The final cohort included 4,717 records (median age: 73 years, female 42%, ischemic stroke 66%). Conclusion: The results of the data linkage provides greater confidence for use of these data for future research related to pre-hospital management of stroke.
AB - Objective: In Australia, approximately 3 in 4 people with acute stroke use an ambulance. Few examples of merging ambulance clinical records, hospital government data, and national registry data for stroke exist. We sought to understand the advantages of using linked datasets for describing the full clinical journey of people with stroke and the possibility of investigating their long-term outcomes based on pre-hospital management of stroke. Method: Patient-level data from the Australian Stroke Clinical Registry (AuSCR) (January 2013-October 2017) were linked with Ambulance Victoria (AV) records and Victorian Emergency Minimum Dataset (VEMD). Probabilistic iterative matching on personal identifiers were used and records merged with a project specific identification number. Results: Of the 7,373 episodes in the AuSCR and 6,001 in the AV dataset; 4,569 (62%) were matched. Unmatched records that were positive for “arrival by ambulance” in the AuSCR and VEMD (no corresponding record in AV) were submitted to AV. AV were able to identify 148/435 additional records related to these episodes. The final cohort included 4,717 records (median age: 73 years, female 42%, ischemic stroke 66%). Conclusion: The results of the data linkage provides greater confidence for use of these data for future research related to pre-hospital management of stroke.
KW - Ambulance records
KW - Data linkage
KW - Emergency records
KW - Health services
KW - Stroke
KW - Stroke registry
UR - http://www.scopus.com/inward/record.url?scp=85130321190&partnerID=8YFLogxK
U2 - 10.1177/00469580221102200
DO - 10.1177/00469580221102200
M3 - Article
C2 - 35593081
AN - SCOPUS:85130321190
SN - 0046-9580
VL - 59
SP - 1
EP - 8
JO - INQUIRY: The Journal of Health Care Organization, Provision, and Financing
JF - INQUIRY: The Journal of Health Care Organization, Provision, and Financing
ER -
