Comparison of the Victorian Emergency Minimum Dataset to medical records for emergency presentations for acute cardiovascular conditions and unspecified chest pain
Bray, Lim, Cartledge, Stub, Mitra, Newnham, Cameron (2020) Comparison of the Victorian Emergency Minimum Dataset to medical records for emergency presentations for acute cardiovascular conditions and unspecified chest pain Emerg Med Australas (IF: 2.3) 32(2) 295-302Abstract
The Victorian Emergency Minimum Dataset (VEMD) collects administrative and clinical data for all presentations to Victorian public ED. The present study aimed to examine the level of agreement between the VEMD data and the medical record for a sample of patients coded as having acute cardiovascular conditions (acute coronary syndrome, stroke and transient ischaemic attack [TIA]) and unspecified chest pain in the VEMD.Six months of data provided to the VEMD from a large metropolitan hospital was obtained, and a random sample of 10% of cases (n = 310) were selected for review. Data for eight VEMD items were compared for concordance to data recorded in the ED medical record.Complete concordance between the VEMD and medical records for all eight items was observed only for 101 (33%) presentations. Overall, the least concordant variables were those with a high number of coding options: usual type of accommodation (76%), referral pattern (84%) and primary diagnosis (85%). The concordance of the VEMD primary diagnosis varied when examined as individual codes (range 75%-100%) and when combined (acute coronary syndrome = 94%, stroke or TIA = 85% and chest pain unspecified = 75%). The level of agreement for some items improved when VEMD codings were combined.When compared to the medical record, our data suggest there is likely variation in the accuracy of some VEMD items, and suggests a larger prospective validation of the VEMD is warranted. For researchers using existing VEMD data, combining of some codes may be necessary.© 2019 Australasian College for Emergency Medicine.
Links
http://www.ncbi.nlm.nih.gov/pubmed/31707761http://dx.doi.org/10.1111/1742-6723.13408
