NSW injury SRRs.csv (24.71 kB)

Survival risk ratios for ICD-10-AM injury diagnosis classifications for all ages

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posted on 01.07.2021, 05:56 by Rebecca MitchellRebecca Mitchell, Hsuen P Ting

The survival risk ratios (SRRs) were calculated using linked hospitalisation and mortality data from New South Wales (NSW), Australia. Hospital admissions was obtained from the NSW Ministry of Health and included all injury-related admissions identified using a principal diagnosis of injury (ICD-10-AM: S00-T89) during 1 January 2010 to 30 June 2014. Mortality data was obtained from the NSW Registry of Births, Deaths and Marriages from 1 January 2010 to 31 March 2015. Hospitalisation and mortality data were probabilistic linked by the Centre for Health Record Linkage (CHeReL). NSW covers an area of 800,628km2 with a population of around 7.7 million.

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. There are two methods commonly used to then estimate ICISS values: (i) multiplicative-injury ICISS where ICISS is the product of all SRRs for each of the individual’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.

History

Research Project ID

64189919

Q/A Log

  • FAIR assessment completed
  • Institutional review 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 Total across F.A.I.R

FAIR Self Assessment Rating

5 Stars

Data Sensitivity

General