Early recognition and response to increases in surgical site infections using optimised statistical process control charts—The early 2RIS trial: A multicentre stepped wedge cluster randomised controlled trial. (December 2022)
- Record Type:
- Journal Article
- Title:
- Early recognition and response to increases in surgical site infections using optimised statistical process control charts—The early 2RIS trial: A multicentre stepped wedge cluster randomised controlled trial. (December 2022)
- Main Title:
- Early recognition and response to increases in surgical site infections using optimised statistical process control charts—The early 2RIS trial: A multicentre stepped wedge cluster randomised controlled trial
- Authors:
- Baker, Arthur W.
Ilieş, Iulian
Benneyan, James C.
Lokhnygina, Yuliya
Foy, Katherine R.
Lewis, Sarah S.
Wood, Brittain
Baker, Esther
Crane, Linda
Crawford, Kathryn L.
Cromer, Andrea L.
Padgette, Polly
Roach, Linda
Adcock, Linda
Nehls, Nicole
Salem, Joseph
Bratzler, Dale
Dellinger, E. Patchen
Greene, Linda R.
Huang, Susan S.
Mantyh, Christopher R.
Anderson, Deverick J. - Abstract:
- Summary: Background: Traditional approaches for surgical site infection (SSI) surveillance have deficiencies that delay detection of SSI outbreaks and other clinically important increases in SSI rates. We investigated whether use of optimised statistical process control (SPC) methods and feedback for SSI surveillance would decrease rates of SSI in a network of US community hospitals. Methods: We conducted a stepped wedge cluster randomised trial of patients who underwent any of 13 types of common surgical procedures across 29 community hospitals in the Southeastern United States. We divided the 13 procedures into six clusters; a cluster of procedures at a single hospital was the unit of randomisation and analysis. In total, 105 clusters were randomised to 12 groups of 8–10 clusters. All participating clusters began the trial in a 12-month baseline period of control or "traditional" SSI surveillance, including prospective analysis of SSI rates and consultative support for SSI outbreaks and investigations. Thereafter, a group of clusters transitioned from control to intervention surveillance every three months until all clusters received the intervention. Electronic randomisation by the study statistician determined the sequence by which clusters crossed over from control to intervention surveillance. The intervention was the addition of weekly application of optimised SPC methods and feedback to existing traditional SSI surveillance methods. Epidemiologists were blinded toSummary: Background: Traditional approaches for surgical site infection (SSI) surveillance have deficiencies that delay detection of SSI outbreaks and other clinically important increases in SSI rates. We investigated whether use of optimised statistical process control (SPC) methods and feedback for SSI surveillance would decrease rates of SSI in a network of US community hospitals. Methods: We conducted a stepped wedge cluster randomised trial of patients who underwent any of 13 types of common surgical procedures across 29 community hospitals in the Southeastern United States. We divided the 13 procedures into six clusters; a cluster of procedures at a single hospital was the unit of randomisation and analysis. In total, 105 clusters were randomised to 12 groups of 8–10 clusters. All participating clusters began the trial in a 12-month baseline period of control or "traditional" SSI surveillance, including prospective analysis of SSI rates and consultative support for SSI outbreaks and investigations. Thereafter, a group of clusters transitioned from control to intervention surveillance every three months until all clusters received the intervention. Electronic randomisation by the study statistician determined the sequence by which clusters crossed over from control to intervention surveillance. The intervention was the addition of weekly application of optimised SPC methods and feedback to existing traditional SSI surveillance methods. Epidemiologists were blinded to hospital identity and randomisation status while adjudicating SPC signals of increased SSI rates, but blinding was not possible during SSI investigations. The primary outcome was the overall SSI prevalence rate (PR=SSIs/100 procedures), evaluated via generalised estimating equations with a Poisson regression model. Secondary outcomes compared traditional and optimised SPC signals that identified SSI rate increases, including the number of formal SSI investigations generated and deficiencies identified in best practices for SSI prevention. This trial was registered at ClinicalTrials.gov, NCT03075813. Findings: Between Mar 1, 2016, and Feb 29, 2020, 204, 233 unique patients underwent 237, 704 surgical procedures. 148, 365 procedures received traditional SSI surveillance and feedback alone, and 89, 339 procedures additionally received the intervention of optimised SPC surveillance. The primary outcome of SSI was assessed for all procedures performed within participating clusters. SSIs occurred after 1171 procedures assigned control surveillance (prevalence rate [PR] 0.79 per 100 procedures), compared to 781 procedures that received the intervention (PR 0·87 per 100 procedures; model-based PR ratio 1.10, 95% CI 0.94–1.30, p =0.25). Traditional surveillance generated 24 formal SSI investigations that identified 120 SSIs with deficiencies in two or more perioperative best practices for SSI prevention. In comparison, optimised SPC surveillance generated 74 formal investigations that identified 458 SSIs with multiple best practice deficiencies. Interpretation: The addition of optimised SPC methods and feedback to traditional methods for SSI surveillance led to greater detection of important SSI rate increases and best practice deficiencies but did not decrease SSI rates. Additional research is needed to determine how to best utilise SPC methods and feedback to improve adherence to SSI quality measures and prevent SSIs. Funding: Agency for Healthcare Research and Quality. … (more)
- Is Part Of:
- EClinicalMedicine. Volume 54(2022)
- Journal:
- EClinicalMedicine
- Issue:
- Volume 54(2022)
- Issue Display:
- Volume 54, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 54
- Issue:
- 2022
- Issue Sort Value:
- 2022-0054-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- Surgical site infection -- Statistical process control -- Healthcare-associated infection surveillance -- Randomised controlled trial
Medicine -- Research -- Periodicals
Medical policy -- Periodicals
Clinical Medicine
Health Policy
Public Health
Medical policy
Medicine -- Research
Periodical
Electronic journals
Periodicals
613 - Journal URLs:
- https://www.sciencedirect.com/science/journal/25895370 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.eclinm.2022.101698 ↗
- Languages:
- English
- ISSNs:
- 2589-5370
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24702.xml