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Cancelled elective operations: an observational study from a district general hospital
Journal of Health Organization and Management
|April 26, 2007
Summary
Elective surgery cancellations impact healthcare resources significantly. This study found 14% of operations were cancelled, with patient-related and non-clinical factors being primary causes, suggesting targeted interventions can improve rates.
Area of Science:
- Healthcare Management
- Surgical Operations
- Health Resource Optimization
Background:
- Cancelled elective operations represent a substantial drain on healthcare resources nationally.
- Approximately 8% of scheduled elective surgeries are cancelled within 24 hours of the procedure.
Purpose of the Study:
- To quantify the extent of operation cancellations within a specific National Health Service (NHS) Trust.
- To identify key reasons for cancellations and propose strategies for reduction.
Main Methods:
- A prospective survey was conducted over 12 months to track cancelled day case and in-patient elective operations.
- A dedicated nurse practitioner recorded cancellation reasons and timing relative to surgery.
- Cancellations were categorized into patient-related, hospital clinical, and hospital non-clinical reasons.
Main Results:
- Out of 13,455 operations, 1,916 (14%) were cancelled; 45% of these occurred within 24 hours of surgery.
- Patient-related reasons accounted for 51% of cancellations, followed by non-clinical hospital reasons (34%) and clinical reasons (15%).
- Common causes included inconvenient appointments (18.5%), list overruns (16%), patient unfitness perception (12.2%), and emergencies/trauma (9.4%).
Conclusions:
- A significant 14% of elective operations are cancelled, with nearly half within 24 hours of the scheduled time.
- Addressing patient-related and hospital non-clinical causes through targeted resources can substantially reduce cancellation rates.
- The study highlights the need for interventions focused on patient factors and hospital administrative/logistical issues to improve elective surgery scheduling efficiency.