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Name of Media:

Estimating Long-Term Survival of Critically Ill Patients: The PREDICT Model

Author(s):

Kwok M. Ho , Matthew Knuiman, Judith Finn,Steven A. Webb

Publisher or Source:

PLOS

Type of Media:

Medical Journal

Media Originally for:

General Public

Country of Origin:

United States

Primary Focus of Media:

Post Intensive Care Syndrome (PICS)

COVID-19 Related:

No

Description:

Demand for intensive care unit (ICU) services is increasing [1], and at a rate that is higher than the average for all health care services [2]. Increase in treatment and monitoring technology, patients' expectations, and ageing population all contribute to this increased demand for intensive care services [1]. Indeed, intensive care is increasingly being provided to older and sicker patients, whom in the past were not treated in intensive care [3]. Intensive care services accounted for 10% of the US$2.1 trillion total health expenditures on health care in the United States in 2006 [4] and has been estimated to cost more than £700 million in the United Kingdom in 1999 [5]. The cost of intensive care services coupled with increasing demand provides the rationale for improved modelling of outcomes of critically ill patients.

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