Magnitude of non-operative surgical emergency admissions; service implications for surgical and radiological practice

Ir J Med Sci. 2017 Feb;186(1):219-224. doi: 10.1007/s11845-016-1496-5. Epub 2016 Sep 8.

Abstract

Background: Financial sustainability is an area of sharp ongoing focus across the broad spectrum of the Irish Health Service. Recent attention has been drawn to the financial implications of non-operative surgical admissions, suggesting that some of these may be unnecessary.

Aims: In this study, we aim to determine the volume of emergency surgical admissions to Mayo University Hospital (MUH), in particular, to identify the scale of non-operative admissions and to assess the wider inherent implications for acute hospital services.

Methods: An electronic handover system for emergency surgical admissions was introduced in MUH in September 2014. All surgical admissions from September 1st 2014 to August 31st 2015 were identified from this prospectively maintained database. HIPE (Hospital Inpatient Enquiry) data were not used in this study. Theatre logbooks confirmed those patients who required operative intervention.

Results: 1466 patients were admitted as emergencies during the study period. 58 % (850) were male and median age was 48 years (0-100). Average length of stay was 5 days (range 1-125). 327 patients (22.3 %) required operative intervention. The most commonly performed procedure was appendicectomy (52.5 %). 48 (3.3 %) patients were transferred to other hospitals. 131 (8.9 %) admissions related to the acute urological conditions. Of the 1466 admissions, 546 underwent a CT scan, while 342 patients proceeded to ultrasound.

Conclusion: Almost 80 % of all surgical emergency admissions were discharged without undergoing a formal operative procedure while generating a significant workload for the radiology department. Changes in working practices and hospital network structures will be required to reduce the burden of non-operative emergency admissions.

Keywords: Admissions; Emergency; Non-operative; Practice implications.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Appendectomy / statistics & numerical data
  • Child
  • Child, Preschool
  • Emergencies*
  • Emergency Service, Hospital
  • Female
  • Hospitalization / statistics & numerical data*
  • Hospitals, University
  • Humans
  • Infant
  • Infant, Newborn
  • Length of Stay
  • Male
  • Middle Aged
  • Patient Discharge
  • Radiology
  • Retrospective Studies
  • Surgical Procedures, Operative / statistics & numerical data*
  • Workload
  • Young Adult