Risk‐adjusted hospital clinical management issue rates using data from the Victorian Audit of Surgical Mortality. Issue 5 (27th April 2020)
- Record Type:
- Journal Article
- Title:
- Risk‐adjusted hospital clinical management issue rates using data from the Victorian Audit of Surgical Mortality. Issue 5 (27th April 2020)
- Main Title:
- Risk‐adjusted hospital clinical management issue rates using data from the Victorian Audit of Surgical Mortality
- Authors:
- Hansen, Dylan
Retegan, Claudia
Ismail, Adam
McCahy, Philip - Abstract:
- Abstract: Background: In recent years, there has been a concerted drive for an increase in public reporting of hospital‐level outcomes as a means of identifying strategies to improve patient safety. Surgical care, as a high‐risk area of medical practice, has come under sharp scrutiny. This study uses data from the Victorian Audit of Surgical Mortality (VASM) in conjunction with data from the Victorian Admitted Episode Dataset to compare hospital rates of clinically identified serious clinical management issues that were definitely or probably preventable and caused or contributed to the death of the patient who would otherwise be expected to survive. Methods: Cases where the date of death was between 1 July 2015 and 30 June 2017 that completed the full VASM audit process were extracted from the VASM database and combined with data extracted from the Victorian Admitted Episode Dataset, where a surgical admission occurred in the same time period. A logistic regression model was used as a method of indirect standardization to derive the probability of preventable clinical management issues, which was then used to calculate the standardized incident rate for all Victorian surgical hospitals. Hospitals were compared by plotting the standardized incident rates on three funnel plots. Results: There were five hospitals (8.3%) of the 60 that deviated significantly from the state‐wide rate of 0.00012. Conclusion: The risk adjustment model identified several hospitals that may have aAbstract: Background: In recent years, there has been a concerted drive for an increase in public reporting of hospital‐level outcomes as a means of identifying strategies to improve patient safety. Surgical care, as a high‐risk area of medical practice, has come under sharp scrutiny. This study uses data from the Victorian Audit of Surgical Mortality (VASM) in conjunction with data from the Victorian Admitted Episode Dataset to compare hospital rates of clinically identified serious clinical management issues that were definitely or probably preventable and caused or contributed to the death of the patient who would otherwise be expected to survive. Methods: Cases where the date of death was between 1 July 2015 and 30 June 2017 that completed the full VASM audit process were extracted from the VASM database and combined with data extracted from the Victorian Admitted Episode Dataset, where a surgical admission occurred in the same time period. A logistic regression model was used as a method of indirect standardization to derive the probability of preventable clinical management issues, which was then used to calculate the standardized incident rate for all Victorian surgical hospitals. Hospitals were compared by plotting the standardized incident rates on three funnel plots. Results: There were five hospitals (8.3%) of the 60 that deviated significantly from the state‐wide rate of 0.00012. Conclusion: The risk adjustment model identified several hospitals that may have a systematic issue which warrant further clinical quality assurance investigation. Abstract : In recent years, there has been a concerted drive for an increase in public reporting of hospital‐level outcomes as a means of identifying strategies to improve patient safety. Surgical care, as a high‐risk area of medical practice, has come under sharp scrutiny. This is the first study to assess the Victorian rate of preventable surgical mortalities using data from the Victorian Audit of Surgical Mortality in conjunction with data from the Victorian Admitted Episode Dataset. … (more)
- Is Part Of:
- ANZ journal of surgery. Volume 90:Issue 5(2020)
- Journal:
- ANZ journal of surgery
- Issue:
- Volume 90:Issue 5(2020)
- Issue Display:
- Volume 90, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 90
- Issue:
- 5
- Issue Sort Value:
- 2020-0090-0005-0000
- Page Start:
- 728
- Page End:
- 733
- Publication Date:
- 2020-04-27
- Subjects:
- assurance -- audit -- deviation -- quality -- risk -- safety -- surgery
Surgery -- Periodicals
617.005 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1111/ans.15896 ↗
- Languages:
- English
- ISSNs:
- 1445-1433
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1566.878000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13293.xml