
@article{ref1,
title="Using hospital discharge data for injury research or surveillance? An observational study illustrating the impact of administrative change",
journal="Injury prevention",
year="2019",
author="Davie, Gabrielle S. and Barson, Dave and Simpson, Jean C. and Lilley, Rebbecca and Gulliver, Pauline and Cryer, Colin",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="INTRODUCTION: Hospital discharge data provide an important basis for determining priorities for injury prevention and monitoring trends in incidence. This study aims to illustrate the impact of a recent change in administrative practice on estimates of hospitalised injury incidence and to investigate the extent to which different case selection affects trends in injury incidence rates. <br><br>METHODS: New Zealand (NZ) hospital discharges (2000-2014) with a primary diagnosis of injury were identified. Additional case selection criteria included first admissions only, and for serious injury, a high threat-to-life estimate. Comparisons were made, over time and by District Health Board, between hospitalised injury incidence estimates that included, or not, short-stay emergency department (SSED) discharges. <br><br>RESULTS: Of the 1 229 772 injury hospital discharges, 365 114 were SSED; 16% of the annual total in 2000, 38% in 2014. Identification of readmissions prior to the exclusion of SSED discharges resulted in 30 724 cases being erroneously removed. Age-standardised rates of hospitalised injury over the 15-year period increased by, on average, 2.7% per year when SSED discharges were included; there was minimal secular change (-0.2%) when SSEDs were excluded. For serious hospitalised injury, the annual increase was 2.3% when SSED was included compared with 1.1% when SSEDs were excluded. <br><br>CONCLUSION: Spurious trends in hospitalised injury incidence can result when administrative practices are not appropriately accounted for. Exclusion of SSED discharges before the identification of readmissions and the use of a severity threshold are recommended to minimise the reporting bias in NZ hospitalised injury incidence estimates.<br><br>© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.<p /> <p>Language: en</p>",
language="en",
issn="1353-8047",
doi="10.1136/injuryprev-2019-043201",
url="http://dx.doi.org/10.1136/injuryprev-2019-043201"
}