Abstract

Abstract Aims To study the length of stay of patients following elective general surgical procedures at a district hospital in NHS and the predictors for long stay. To be able to better predict the pattern of hospital stay and discharge. To understand the patients which stay longer in the hospital. Methods Retrospective analysis of elective general surgeries conducted at a busy district hospital in NHS from December 2021 to May 2022. Emergency cases were excluded. Data was collected form the theatreman app, which was hospital number, age, sex, ASA category, surgical time, anaesthesia time, list number of the patient in the theatre list. Statistical calculations were done on the StatsDirect 3 software. Results A total of 181 patients were studied of which 90 male and 91 female patients. Total admission days utilised were 318 and a median of 1 day per elective surgical patient. 94 patients (52 %) got discharged on the 0 post operative day (POD), 67 (37 %) were discharged on POD 1, 12 (6.6 %) on POD 2, 1 (0.55 %) on POD 3, 2 (1.1 %) on POD 4, 1 (0.55 %) on POD 5, 3 (1.65 %) on POD 6, 1 (0.55 %) on POD 12. Multiple linear regression analysis resulted in a p <0.0001 for surgical time and ASA grade and 0.0231 for age. Conclusion Surgical time, ASA grade and age have a statistically significant correlation on the length of stay after elective surgeries. Patients aged > 60 years, ASA >2 and Surgical time > 100 minutes will stay for 2 days or more in the hospital and such patients must be booked as inpatient.

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