Literature DB >> 32146529

Futility of Cluster Designs at Individual Hospitals to Study Surgical Site Infections and Interventions Involving the Installation of Capital Equipment in Operating Rooms.

Franklin Dexter1, Johannes Ledolter2, Richard H Epstein3, Randy W Loftus4.   

Abstract

Anesthesia workspaces are integral components in the chains of many intraoperative bacterial transmission events resulting in surgical site infections (SSI). Matched cohort designs can be used to compare SSI rates among operating rooms (ORs) with or without capital equipment purchases (e.g., new anesthesia machines). Patients receiving care in intervention ORs (i.e., with installed capital equipment) are matched with similar patients receiving care in ORs lacking the intervention. We evaluate statistical power of an alternative design for clinical trials in which, instead, SSI incidences are compared directly among ORs (i.e., the ORs form the clusters) at single hospitals (e.g., the 5 ORs with bactericidal lights vs. the 5 other ORs). Data used for parameter estimates were SSI for 24 categories of procedures among 338 hospitals in the State of California, 2015. Estimated statistical power was ≅8.4% for detecting a reduction in the incidence of SSI from 3.6% to 2.4% over 1 year with 5 intervention ORs and 5 control ORs. For ≅80% statistical power, >20 such hospitals would be needed to complete a study in 1 year. Matched paired cluster designs pair similar ORs (e.g., 2 cardiac ORs, 1 to intervention and 1 to control). With 5 pairs, statistical power would be even less than the estimated 8.4%. Cluster designs (i.e., analyses by OR) are not suitable for comparing SSI among ORs at single hospitals. Even though matched cohort designs are non-randomized and thus have lesser validity, matching patients by their risk factors for SSI is more practical.

Entities:  

Keywords:  Cluster randomized trials; Operating room management; Statistical power analyses; Surgical site infection

Mesh:

Year:  2020        PMID: 32146529     DOI: 10.1007/s10916-020-01555-0

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  38 in total

Review 1.  Assigning surgical cases with regional anesthetic blocks to anesthetists and operating rooms based on operating room efficiency.

Authors:  Cormac T O'Sullivan; Franklin Dexter
Journal:  AANA J       Date:  2006-06

2.  A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study.

Authors:  Peter C Austin; Paul Grootendorst; Geoffrey M Anderson
Journal:  Stat Med       Date:  2007-02-20       Impact factor: 2.373

3.  The merits of matching in community intervention trials: a cautionary tale.

Authors:  N Klar; A Donner
Journal:  Stat Med       Date:  1997-08-15       Impact factor: 2.373

4.  Role of Surgical Services in Profitability of Hospitals in California: An Analysis of Office of Statewide Health Planning and Development Annual Financial Data.

Authors:  Ashkan Moazzez; Christian de Virgilio
Journal:  Am Surg       Date:  2016-10       Impact factor: 0.688

5.  Comparison of methods for estimating the intraclass correlation coefficient for binary responses in cancer prevention cluster randomized trials.

Authors:  Sheng Wu; Catherine M Crespi; Weng Kee Wong
Journal:  Contemp Clin Trials       Date:  2012-05-22       Impact factor: 2.226

6.  How to schedule elective surgical cases into specific operating rooms to maximize the efficiency of use of operating room time.

Authors:  Franklin Dexter; Rodney D Traub
Journal:  Anesth Analg       Date:  2002-04       Impact factor: 5.108

7.  At most hospitals in the state of Iowa, most surgeons' daily lists of elective cases include only 1 or 2 cases: Individual surgeons' percentage operating room utilization is a consistently unreliable metric.

Authors:  Franklin Dexter; Craig Jarvie; Richard H Epstein
Journal:  J Clin Anesth       Date:  2017-08-29       Impact factor: 9.452

8.  The Effect of Door Opening on Positive Pressure and Airflow in Operating Rooms.

Authors:  Mitchell C Weiser; Shai Shemesh; Darwin D Chen; Michael J Bronson; Calin S Moucha
Journal:  J Am Acad Orthop Surg       Date:  2018-03-01       Impact factor: 3.020

9.  Multiple reservoirs contribute to intraoperative bacterial transmission.

Authors:  Randy W Loftus; Jeremiah R Brown; Matthew D Koff; Sundara Reddy; Stephen O Heard; Hetal M Patel; Patrick G Fernandez; Michael L Beach; Howard L Corwin; Jens T Jensen; David Kispert; Bridget Huysman; Thomas M Dodds; Kathryn L Ruoff; Mark P Yeager
Journal:  Anesth Analg       Date:  2012-03-30       Impact factor: 5.108

10.  Changes in health care-associated infection prevention practices in Japan: Results from 2 national surveys.

Authors:  Fumie Sakamoto; Keiko Asano; Tomoko Sakihama; Sanjay Saint; M Todd Greene; Payal Patel; David Ratz; Yasuharu Tokuda
Journal:  Am J Infect Control       Date:  2018-08-30       Impact factor: 2.918

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