Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in Victoria
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...
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2022-05-01
|
Series: | Inquiry: The Journal of Health Care Organization, Provision, and Financing |
Online Access: | https://doi.org/10.1177/00469580221102200 |
_version_ | 1818233084985737216 |
---|---|
author | Amminadab L. Eliakundu MClinEpi Karen Smith PhD Monique F. Kilkenny PhD, MPH Joosup Kim PhD Kathleen L. Bagot PhD Emily Andrew MBiostats Shelley Cox PhD Christopher F. Bladin PhD, MD Dominique A. Cadilhac PhD, MPH |
author_facet | Amminadab L. Eliakundu MClinEpi Karen Smith PhD Monique F. Kilkenny PhD, MPH Joosup Kim PhD Kathleen L. Bagot PhD Emily Andrew MBiostats Shelley Cox PhD Christopher F. Bladin PhD, MD Dominique A. Cadilhac PhD, MPH |
author_sort | Amminadab L. Eliakundu MClinEpi |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-12T11:16:34Z |
format | Article |
id | doaj.art-0784690f9bb248e7ab8199e97b476130 |
institution | Directory Open Access Journal |
issn | 0046-9580 1945-7243 |
language | English |
last_indexed | 2024-12-12T11:16:34Z |
publishDate | 2022-05-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Inquiry: The Journal of Health Care Organization, Provision, and Financing |
spelling | doaj.art-0784690f9bb248e7ab8199e97b4761302022-12-22T00:26:07ZengSAGE PublishingInquiry: The Journal of Health Care Organization, Provision, and Financing0046-95801945-72432022-05-015910.1177/00469580221102200Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in VictoriaAmminadab L. Eliakundu MClinEpiKaren Smith PhDMonique F. Kilkenny PhD, MPHJoosup Kim PhDKathleen L. Bagot PhDEmily Andrew MBiostatsShelley Cox PhDChristopher F. Bladin PhD, MDDominique A. Cadilhac PhD, MPHObjective : 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.https://doi.org/10.1177/00469580221102200 |
spellingShingle | Amminadab L. Eliakundu MClinEpi Karen Smith PhD Monique F. Kilkenny PhD, MPH Joosup Kim PhD Kathleen L. Bagot PhD Emily Andrew MBiostats Shelley Cox PhD Christopher F. Bladin PhD, MD Dominique A. Cadilhac PhD, MPH Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in Victoria Inquiry: The Journal of Health Care Organization, Provision, and Financing |
title | Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in Victoria |
title_full | Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in Victoria |
title_fullStr | Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in Victoria |
title_full_unstemmed | Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in Victoria |
title_short | Linking Data From the Australian Stroke Clinical Registry With Ambulance and Emergency Administrative Data in Victoria |
title_sort | linking data from the australian stroke clinical registry with ambulance and emergency administrative data in victoria |
url | https://doi.org/10.1177/00469580221102200 |
work_keys_str_mv | AT amminadableliakundumclinepi linkingdatafromtheaustralianstrokeclinicalregistrywithambulanceandemergencyadministrativedatainvictoria AT karensmithphd linkingdatafromtheaustralianstrokeclinicalregistrywithambulanceandemergencyadministrativedatainvictoria AT moniquefkilkennyphdmph linkingdatafromtheaustralianstrokeclinicalregistrywithambulanceandemergencyadministrativedatainvictoria AT joosupkimphd linkingdatafromtheaustralianstrokeclinicalregistrywithambulanceandemergencyadministrativedatainvictoria AT kathleenlbagotphd linkingdatafromtheaustralianstrokeclinicalregistrywithambulanceandemergencyadministrativedatainvictoria AT emilyandrewmbiostats linkingdatafromtheaustralianstrokeclinicalregistrywithambulanceandemergencyadministrativedatainvictoria AT shelleycoxphd linkingdatafromtheaustralianstrokeclinicalregistrywithambulanceandemergencyadministrativedatainvictoria AT christopherfbladinphdmd linkingdatafromtheaustralianstrokeclinicalregistrywithambulanceandemergencyadministrativedatainvictoria AT dominiqueacadilhacphdmph linkingdatafromtheaustralianstrokeclinicalregistrywithambulanceandemergencyadministrativedatainvictoria |