Does admission via an acute medical unit influence hospital mortality? 12 years' experience in a large Dublin hospital

Acute Med. 2014;13(4):152-8.

Abstract

Background: Following an emergency medical admission, patients may be admitted an acute medical assessment unit (AMAU) or directly into a ward. An AMAU provides a structured environment for their initial assessment and treatment.

Methods: All emergency admissions (66,933 episodes in 36,271 patients) to an Irish hospital over an 12-year period (2002-2013) were studied with 30-day in-hospital mortality as the outcome measure. Univariate Odds Ratios, by initial patient allocation, and the fully adjusted Odds Ratios were calculated, using a validated logistic regression model.

Results: Patients, by design, were intended to be admitted initially to the AMAU (<= 5 day stay). Capacity constraints dictated that only 39.8% of patients were so admitted; the remainder bypassed the AMAU to a ward (60.2%). All patients remained under the care of the admitting consultant/team. We computed the risk profile for each group, using a multiple variable validated model of 30-day in-hospital mortality; the model indicated the same risk profile between these groups. The univariate OR of an in-hospital death by day 30 for a patient initially allocated to the AMAU, compared with an initial ward allocation was 0.76 (95% CI: 0.71, 0.82- p<0.001). The fully adjusted risk for patients was 0.67 (95% CI: 0.62, 0.73- p<0.001).

Conclusion: Patients, with equivalent mortality risk, allocated initially to AMAU or a more traditional ward, appeared to have substantially different outcomes.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Emergencies / classification
  • Emergencies / epidemiology*
  • Emergency Service, Hospital* / organization & administration
  • Emergency Service, Hospital* / statistics & numerical data
  • Episode of Care
  • Female
  • Hospital Mortality*
  • Humans
  • Ireland / epidemiology
  • Male
  • Middle Aged
  • Models, Organizational
  • Outcome Assessment, Health Care
  • Patient Admission / statistics & numerical data*
  • Risk Assessment
  • Severity of Illness Index
  • Time Factors
  • Triage / methods