Demographics of COVID-19 hospitalisations and related fatality risk patterns

Ghio D, Bignami-Van Assche S, Stilianakis NI (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Health policy (Amsterdam, Netherlands)

DOI: 10.1016/j.healthpol.2022.07.005

Abstract

The assessment of hospitalisations and intensive care is crucial for planning health care resources needed over the course of the coronavirus disease 2019 (COVID-19) pandemic. Nonetheless, comparative empirical assessments of COVID-19 hospitalisations and related fatality risk patterns on a large scale are lacking. This paper exploits anonymised, individual-level data on SARS-CoV-2 confirmed infections collected and harmonized by the European Centre for Disease Prevention and Control to profile the demographics of COVID-19 hospitalised patients across nine European countries during the first pandemic wave (February – June 2020). We estimate the role of demographic factors for the risk of in-hospital mortality, and present a case study exploring individuals’ comorbidities based on a subset of COVID-19 hospitalised patients available from the Dutch health system. We find that hospitalisation rates are highest among individuals with confirmed SARS-CoV-2 infection who are not only older than 70 years, but also 50-69 years. The latter group has a longer median time between COVID-19 symptoms’ onset and hospitalisation than those aged 70+ years. Men have higher hospitalisation rates than women at all ages, and particularly above age 50. Consistently, men aged 50-59 years have a probability of hospitalisation almost double than women do. Although the gender imbalance in hospitalisation remains above age 70, the gap between men and women narrows at older ages. Comorbidities play a key role in explaining selection effects of COVID-19 confirmed positive cases requiring hospitalisation. Our study contributes to the evaluation of the COVID-19 burden on the demand of health-care during emergency phases. Assessing intensity and timing dimensions of hospital admissions, our findings allow for a better understanding of COVID-19 severe outcomes. Results point to the need of suitable calibrations of epidemiological projections and (re)planning of health services, enhancing preparedness to deal with infectious disease outbreaks.

Involved external institutions

European Commission - Joint Research Centre (JRC) NL Netherlands (NL) Université de Montréal CA Canada (CA)

How to cite

APA:

Ghio, D., Bignami-Van Assche, S., & Stilianakis, N.I. (2022). Demographics of COVID-19 hospitalisations and related fatality risk patterns. Health policy (Amsterdam, Netherlands). https://doi.org/10.1016/j.healthpol.2022.07.005

MLA:

Ghio, Daniela, Simona Bignami-Van Assche, and Nikolaos I. Stilianakis. "Demographics of COVID-19 hospitalisations and related fatality risk patterns." Health policy (Amsterdam, Netherlands) (2022).

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