World Journal of Emergency Surgery

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Open Access Highly Access Research article

Emergency room surgical workload in an inner city UK teaching hospital

Tuong A Mai-Phan1, Bijendra Patel1,2, Michael Walsh2, Ajit T Abraham2 and Hemant M Kocher1,2*

Author Affiliations

1 Institute of Cancer, Barts and the London School of Medicine and Dentistry, London, UK

2 The Department of General Surgery, The Royal London Hospital, Barts and the London NHS Trust, Whitechapel, London E1 1BB, UK

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World Journal of Emergency Surgery 2008, 3:19 doi:10.1186/1749-7922-3-19

Published: 30 May 2008

Abstract

Background

Emergency admissions may account for over 50% of surgical admissions. The impact on service provision and implications for training are difficult to quantify. We performed a cohort study to analyse these workload patterns.

Methods

Data on emergency room (ER) surgical admissions over six months was collected including patient demographics, referral sources, diagnosis, operation and length of stay and analysed according to sub-speciality and age-groups.

Results

There were 1392 (median age 41 (IQR 28–60) years, M:F = 1.7:1) emergency surgical admissions over six months; 45% were under 40 years of age and 48% patients self-referred to the ER. The commonest diagnoses were abscesses (11%), non-specific abdominal pain (9.7%) and neuro-trauma (9.6%). The median length of stay was 4 (IQR 2–8) days; with older (>80 years) patient staying significantly longer than those <40 years of age (median 8 vs 2 two days, P < 0.0001, Kruskal-Wallis test). Vascular patients remained in hospital longer than trauma or general surgery patients (median 14 vs 3 days, P < 0.0001, Kruskal-Wallis test). A high proportion (43.5%) of the patients required operative intervention and service implications of various diagnoses and operative interventions are highlighted.

Conclusion

With the introduction of shortened training period in Europe and World over, trainees may benefit from increased exposure to trauma and surgical emergencies. Resource planning should be based on more comprehensive, prospective data such as these.