Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/20990
Title: Associations between patient and system characteristics and MET review within 48 h of admission to a teaching hospital: A retrospective cohort study.
Austin Authors: Allen, Joshua;Orellana, Liliana;Jones, Daryl A ;Considine, Julie;Currey, Judy
Affiliation: Deakin University, Biostatistics Unit, Faculty of Health, Geelong, VIC 3220, Australia
Department of Surgery, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
Intensive Care Unit, Austin Health, Heidelberg, Victoria, Australia
Deakin University, Centre for Quality and Patient Safety Research, School of Nursing and Midwifery, Faculty of Health, Geelong, VIC 3220, Australia
Centre for Quality and Patient Safety Research - Eastern Health Partnership, 2/5 Arnold Street, Box Hill, VIC 3128, Australia
DEPM Monash University, Level 6 The Alfred Centre (Alfred Hospital), 99 Commercial Road, Melbourne, Victoria 3004, Australia
Issue Date: Aug-2019
metadata.dc.date: 2019-05-30
Publication information: European journal of internal medicine 2019; 66: 62-68
Abstract: The Medical Emergency Team (MET) has enhanced the recognition and response to clinical deterioration in acute healthcare. However, patients reviewed by the MET are at increased risk of in-hospital death. Identifying patients at risk of deterioration may improve patient outcomes. AIM: To identify patient demographic, medical characteristics and healthcare systems and processes at the time of admission (baseline), associated with Medical Emergency Team (MET) review within 48 h (MET-48 h) of admission. METHODS: Single-site, year-long, retrospective cohort comprising patients admitted for at least 24 h, using routinely collected hospital data. A three-stage modelling approach was used to identify baseline factors associated with MET-48 h RESULTS: The study included 15,695 patients with mean age 62.1 years (SD 19.6), male (53.5%), born in Australia or New Zealand (60.9%) and 51.6% held a low-income concession card. A total of 4.3% of patients received a MET review within 48 h of admission. Variables independently associated with MET-48 h in a fully adjusted logistic model included age of 80 years or more (OR = 1.37); ≥3 previous emergency admissions (OR = 1.59); Charlson Comorbidity Index 1 or 2 (OR = 1.47), or ≥ 3 (OR = 1.99); history of alcohol-related behaviour concerns (OR = 2.04), chronic heart failure (OR = 1.48); chronic obstructive pulmonary disease (OR = 1.35); admission for colorectal (OR = 2.66) or upper gastro-intestinal (OR = 1.94) surgery, respiratory or tracheostomy (OR = 2.24); immunology and infections (OR = 1.90); emergency admission (OR = 1.36); admission at night (OR = 1.74), or summer (OR = 1.41) CONCLUSIONS: This is the first study to demonstrate the potential to predict clinical deterioration using data that is readily accessible at the time of admission to hospital.
URI: http://ahro.austin.org.au/austinjspui/handle/1/20990
DOI: 10.1016/j.ejim.2019.05.021
PubMed URL: 31155230
Type: Journal Article
Appears in Collections:Journal articles

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