Associations between patient and system characteristics and MET review within 48 h of admission to a teaching hospital: A retrospective cohort study

Eur J Intern Med. 2019 Aug:66:62-68. doi: 10.1016/j.ejim.2019.05.021. Epub 2019 May 31.

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.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Attitude of Health Personnel*
  • Australia
  • Comorbidity
  • Critical Illness / therapy*
  • Female
  • Hospital Rapid Response Team / organization & administration*
  • Hospitals, Teaching
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • New Zealand
  • Patient Admission / statistics & numerical data*
  • Retrospective Studies
  • Risk Assessment
  • Severity of Illness Index*
  • Socioeconomic Factors
  • Time Factors
  • Young Adult