The Effect of Complications on Length of Stay
Overview
Authors
Affiliations
Objectives: The authors determined the effect of complications on length of stay (LOS) in surgical patients.
Setting: From 1987 to 1990, in the Professional General Surgical Unit of Royal Victoria Hospital, a retrospective survey was conducted on 5128 consecutively admitted patients with 396 different diagnosis; 228 different operations were examined.
Main Outcome Measures: Patient LOS during a 3-year period in a general surgical ward was analyzed from hospital activity analysis, case notes, ward audit notes, and sepsis audit notes. Readmission rates for complications in patients with a short LOS were examined. Comparison were made between LOS and age, type of surgery, and complication type.
Results: Pressure on beds resulting from an increased demand on surgical care decreases patient's hospital LOS; increasing age increases LOS. In general, complications double the average LOS. The authors calculated that a surgical complication can be given a numerical ratio that directly reflects the severity of the complication and increases the patient's LOS. The ration of the infective complication corresponds with the clinical severity of the complication. However, a short LOS may lead to readmission of patients for further treatment. For patients readmitted with complications, 41% had been discharged earlier than the average LOS for their diagnosis.
Conclusion: Length of stay is increased by complications and can be used to implement discharge planning in general surgical patients. Furthermore, a complication of their treatment can be given a numerical ratio that corresponds to the clinical severity of the complication and the increased LOS in hospital.
Healy G, Stuart C, Dyas A, Bronsert M, Meguid R, Anioke T Patient Saf Surg. 2024; 18(1):29.
PMID: 39354640 PMC: 11443812. DOI: 10.1186/s13037-024-00409-9.
Jones D, Gingrich M, Anstee C, Najmeh S, Safieddine N, Darling G BMJ Open Qual. 2023; 12(4).
PMID: 38114245 DOI: 10.1136/bmjoq-2023-002458.
Zhang Y, Zhang Q, Li J, Wang Y, Zhuang Z, Zhuang J Risk Manag Healthc Policy. 2023; 16:2579-2591.
PMID: 38034895 PMC: 10683656. DOI: 10.2147/RMHP.S433068.
Czajka S, Taborek M, Krzych L J Pers Med. 2023; 13(5).
PMID: 37241039 PMC: 10220709. DOI: 10.3390/jpm13050869.
Network prediction of surgical complication clusters: a prospective multicenter cohort study.
Yu X, Wu P, Wang Z, Han W, Huang Y, Xin S Sci China Life Sci. 2023; 66(7):1636-1646.
PMID: 36881319 DOI: 10.1007/s11427-022-2200-1.