Australian children injury SRRs.csv (21.84 kB)

Survival risk ratios for ICD-10-AM injury diagnosis classifications for children

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posted on 01.07.2021, 00:27 by Rebecca MitchellRebecca Mitchell, Hsuen P Ting

The survival risk ratios (SRRs) were calculated using linked hospitalisation and mortality data from Australia. Hospital admissions was obtained from each Health Department or the Australian Institute of Health and Welfare and included all injury-related admissions identified using a principal diagnosis of injury (ICD-10-AM: S00-T89) of children aged ≤16 years during 1 July 2002 to 30 June 2012. In the Australian Capital Territory (ACT) data were only available from 1 July 2004. Mortality data was obtained from the National Death Index. Hospitalisation and mortality data were probabilistic linked by the Australian Institute of Health and Welfare Data Linkage Unit. There were an estimated population of 4.5 million children aged ≤16 years in Australia.

The SRRs were calculated for each injury diagnosis. A SRR represents the ratio of the number of individuals with each injury diagnosis who did not die to the total number of individuals with the injury diagnosis. The SRRs can be used to estimate injury severity (i.e. the International Classification of Injury Severity Score: ICISS). The ICISS is calculated by applying the SRRs to each injury diagnosis code in your data. A SRR represents the ratio of the number of children with each injury diagnosis who did not die to the total number of children with the injury diagnosis. There are two methods commonly used to estimate ICISS values: (i) multiplicative-injury ICISS where ICISS is the product of all SRRs for each of the child’s injuries; and (ii) single worst-injury, where ICISS only includes the worst-injury (i.e. the injury diagnosis with the lowest SRR) as the single worst-injury.

Funding

Day of Difference Foundation

History

Research Project ID

168726958

Q/A Log

  • Institutional review completed
  • FAIR assessment completed

FAIR Self Assessment Summary

Findable Does the dataset have any identifiers assigned? Globally Unique, citable and persistent (e.g. DOI, PURL, ARK or Handle) Is the dataset identifier included in all metadata records/files describing the data? Yes How is the data described with metadata? Comprehensively (see suggestion) using a recognised formal machine-readable metadata schema. What type of repository or registry is the metadata record in? Data is in one place but discoverable through several registries Accessible How accessible is the data? Publicly accessible Is the data available online without requiring specialised protocols or tools once access has been approved? Standard web service API (e.g. OGC) Will the metadata record be available even if the data is no longer available? Yes Interoperable What (file) format(s) is the data available in? In a structured, open standard, machine-readable format What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements? Standardised open and universal using resolvable global identifiers linking to explanations How is the metadata linked to other data and metadata (to enhance context and clearly indicate relationships)? Metadata is represented in a machine readable format, e.g. in a linked data format such as Resource Description Framework (RDF). Reusable Which of the following best describes the license/usage rights attached to the data? Standard machine-readable license (e.g. Creative Commons) How much provenance information has been captured to facilitate data reuse? Fully recorded in a machine readable format Note: This self assessment used the Australian Research Data Commons online FAIR self assessment tool

FAIR Self Assessment Rating

5 Stars

Data Sensitivity

General