This is a preprint version of an article submitted for publication in the Medical Journal of Australia. Changes may be made before final publication. Click here for the PDF version. Suggested citation: Clothier HJ, Mesfin YM, Strange S, Buttery JP. Estimating background rates of hospital transfers and deaths in aged care facilities, following COVID-19 vaccination, Australia. Med J Aust 2021; https://www.mja.com.au/journal/2021/estimating-background-rates-hospital-transfers-and-deaths-aged-care-facilities [Preprint, 16 June 2021].
Residential aged care facilities have been prioritised for early COVID-19 vaccination due to high COVID-19 attack rates and mortality. To facilitate safety surveillance of vaccination implementation in RACF we established seasonally adjusted expected hospitalisation and mortality using de-identified electronic medical record data (from 2015-2019) from a large multijurisdictional Australian dataset.
The coronavirus disease 2019 (COVID-19) pandemic disproportionately affected residential aged care facilities (RACF) globally, with high attack rates and case fatality rates of 23% [95%CI 18–28%]1. Outbreaks have occurred throughout Australia, predominantly in Victoria, with up to 44 residents dying in a single centre2. Many RACF residents are frail, with multiple co-morbidities, and would not be represented in vaccine phase 3 safety and efficacy trials due to trial exclusion criteria. Therefore, monitoring the safety of COVID-19 vaccines post program roll-out in this population is paramount, both for vaccine recipients’ welfare and to maintain confidence in the vaccine program. Hospitalisations and death proximal to vaccination may cause alarm, however both are more common in the RACF population compared with elderly community members living independently. Recent international experience has underlined the importance of understanding health events following vaccination in RACF3. Estimating the expected background rates of hospital transfer and/or death can inform trend analysis for vaccine safety signals and decrease the risk of coincidental events being blamed upon vaccination4.
We analysed de-identified RACF point-of-care data obtained from HealthMetrics (https://healthmetrics.com.au), the largest RACF electronic health record (EHR) provider in Australia, for 101 RACFs with over 16,000 resident beds across New South Wales, South Australia, Victoria and Queensland. Hospital transfer and death count data for 2015-2019, covering 706,350 residential bed-months were aggregated by year, month, and RACF postcode. We calculated monthly incidence rates of hospital transfer and death, per 100 beds, with corresponding 95% confidence intervals (95%CI), with assumptions of 100% or 90% bed occupancy, and compared monthly incident risk ratios. We estimated the expected count of hospital transfers and deaths within one week following COVID-19 vaccination, assuming no association with vaccination. Analyses were undertaken in STATA 16.0 (Statacorp, Texas) with Royal Children’s Hospital, Victoria ethical approval 37194A.
Aggregated rates (95%CI) of hospital transfer and death in the RACF population in Australia were estimated to be 5.55 (5.48—5.59) and 2.53 (2.49—2.57) per 100 bed-months, respectively. Table 1 (available in PDF) summarises background monthly count and rates of studied health outcomes by year per 100 residential beds, assuming 100% or 90% bed occupancy. Seasonal variation was evident with incidence risk ratios of hospital transfer and death higher during mid-winter months of July and August (p<0.001 respectively) (Figure 1 & supplemental appendix - available in PDF). Higher average monthly rates of hospital transfer and death were recorded in 2017, coincident with the severe 2017 Australian influenza season5.
The expected rate of hospital transfer and death in one week following COVID-19 vaccination was estimated to be 1.27 (1.10—1.51) and 0.58 (0.44—0.75) per 100 beds/ vaccinated aged-care residents, respectively. For example, for each 10,000 RACF residents receiving COVID-19 vaccination, 127 hospital transfers and 58 deaths would be expected within one week of vaccination, assuming no association with vaccine.
These background rates can be used to help evaluate the safety of COVID-19 vaccines administered in RACF setting, increasing confidence to understand not only expected rates of health events, but also to help detect changes above these levels.
- Hashan MR, Smoll N, King C, et al. Epidemiology and clinical features of COVID-19 outbreaks in aged care facilities: A systematic review and meta-analysis, EClinicalMedicine 2021 https://doi.org/10.1016/j.eclinm.2021.100771
- Australian Government Department of Health. Covid-19-outbreaks-in-australian-residential-aged-care-facilities. National Snapshot. https://www.health.gov.au/sites/default/files/documents/2020/09/covid-19-outbreaks-in-australian-residential-aged-care-facilities-11-september-2020.pdf (Accessed 14 March 2021)
- Torjesen I. Covid-19: Doctors in Norway told to assess severely frail patients for vaccination BMJ 2021; 372 :n167 doi:10.1136/bmj.n167
- Black S, Eskola J, Siegrist CA, et.al. Importance of background rates of disease in assessment of vaccine safety during mass immunisation with pandemic H1N1 influenza vaccines. Lancet. 2009 Dec 19;374(9707):2115-2122. doi: 10.1016/S0140-6736(09)61877-8.
- Grant KA, Carville KS, Sullivan SG, et.al. A severe 2017 influenza season dominated by influenza A(H3N2), Victoria, Australia. Western Pac Surveill Response J. 2018;9(5 Suppl 1):18-26. Published 2018 Sep 28. doi:10.5365/wpsar.2018.9.5.010
Publication of your online response is subject to the Medical Journal of Australia's editorial discretion. You will be notified by email within five working days should your response be accepted.