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Title: | Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in Victoria. | Austin Authors: | Eliakundu, Amminadab L;Smith, Karen;Kilkenny, Monique F;Kim, Joosup;Bagot, Kathleen L;Andrew, Emily;Cox, Shelley;Bladin, Christopher F;Cadilhac, Dominique A | Affiliation: | The Florey Institute of Neuroscience and Mental Health Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.. Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, 161662Monash University, Clayton, VIC, Australia.. 95917Ambulance Victoria, Doncaster, VIC, Australia.. Department of Paramedicine, Monash University, Frankston, VIC, Australia.. |
Issue Date: | 2022 | Publication information: | Inquiry : a journal of medical care organization, provision and financing 2022; 59: 469580221102200 | Abstract: | 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. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/30260 | DOI: | 10.1177/00469580221102200 | ORCID: | 0000-0002-3375-287X 0000-0002-4079-0428 0000-0003-2895-4327 0000-0002-1729-0855 0000-0001-8162-682X |
Journal: | Inquiry : a journal of medical care organization, provision and financing | PubMed URL: | 35593081 | PubMed URL: | https://pubmed.ncbi.nlm.nih.gov/35593081/ | Type: | Journal Article | Subjects: | Ambulance records Data linkage Emergency records Health services Stroke Stroke registry |
Appears in Collections: | Journal articles |
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