Optimizing the surgical instrument tray to immediately increase efficiency and lower costs in the operating room.

BACKGROUND: Surgical trays are often poorly configured and can be ongoing sources of frustration and excess costs. We conducted an observational study to determine if the use of a customized mathematical inventory optimization model would result in a greater reduction in the number of instruments on a surgical tray than a clinician review of the tray. METHODS: Utilization of instruments on the major orthopedic tray at a large academic hospital was documented over 80 procedures. Processes in the medical device reprocessing department and operating room were observed to comprehensively quantify all associated costs. Results of the observations were applied to a customized mathematical model to determine the ideal tray configuration. For comparison, a clinician review was also performed. RESULTS: The mathematical model alone produced an ideal tray size of 47 instruments, a reduction of 41 instruments from the original size of 88 instruments (47% reduction). This represented $34 440 in annual savings. In contrast, the clinician review alone suggested an ideal tray size of 67 instruments (23% reduction), representing $17 640 in annual savings. When clinicians were provided with the additional information from the model, they reduced the tray size to 51 instruments (42% reduction), producing $31 870 in savings. The mathematical model yielded an additional 22% instrument reduction and $14 230 in savings compared with clinician review alone. CONCLUSION: Our mathematical model is generalizable and can be applied to all specialties and hospitals to determine optimal tray configuration. As such, the financial implications are broad; at our institution, application to all surgical trays would result in $205 000 of savings annually. Surgeons and managers looking to streamline surgical trays should consider this evidence-based approach.

Inventory Optimization in the Perioperative Care Department Using Kotter's Change Model.

BACKGROUND: Perioperative services have been scrutinized in the context of cost containment in health care, particularly in the procurement and reprocessing of surgical instruments. Although solutions such as surgical instrument inventory optimization (IO) have been proposed, there is a paucity of literature on how to implement this change. The purpose of this project was to describe the implementation of an IO using Kotter's Change Model (KCM). METHODS: This study was conducted at a tertiary academic hospital across the four highest-volume surgical services. The IO was implemented using the steps outlined by KCM: (1) create coalition, (2) create vision for change, (3) establish urgency, (4) communicate the vision, (5) empower broad-based action, (6) generate short-term wins, (7) consolidate gains, and (8) anchor change. This process was evaluated using inventory metrics, operational efficiency metrics, and clinician satisfaction. RESULTS: Total inventory was reduced by 37.7%, with an average tray size reduction of 18.0%. This led to a total reprocessing time savings of 1,333 hours per annum and labor cost savings of $39,995 per annum. Depreciation cost savings were $64,320 per annum. Case cancellation rate due to instrument-related errors decreased from 3.9% to 0.2%. The proportion of staff completely satisfied with the inventory was 1.7% pre-IO and 80.0% post-IO. CONCLUSION: This is the first study to describe the successful implementation of KCM to facilitate change in the perioperative setting. This success contributes to the growing body of literature supporting KCM as a valuable change management tool in health care.

Decontaminating N95 Respirators for Reuse in a Hospital Setting.

With the global outbreak of the COVID-19 pandemic, hospitals in Canada and around the world have been forced to consider conservation strategies to ensure continued availability of personal protective equipment (PPE) for healthcare providers. To mitigate critical PPE shortages, Sinai Health System (Sinai Health), a large academic healthcare institution in Canada, has developed and operationalized a standard operating procedure for the collection, decontamination and reuse of N95 respirators and other single-use PPE using a vaporized hydrogen peroxide decontamination method. Sinai Health has incorporated stringent quality assurance steps to ensure that the N95 respirators are successfully decontaminated without deformation and are safe to use.

Comparative evaluation of four hydrogen peroxide-based systems to decontaminate N95 respirators.

Objective: Protocols designed to facilitate N95 filtering facepiece respirator (FFR) decontamination by commercial sterilization devices do not recommend that operators verify the device's performance against pathogens deposited on FFRs. Here, we compared the treatment efficacy of 4 hydrogen peroxide-based systems that were authorized for N95 decontamination during the COVID-19 pandemic. Methods: Suspensions prepared from S. aureus ATCC 29213 and 44300, B. subtilis ATCC 6633, a vancomycin-resistant E. faecium isolate (VRE), E. coli ATCC 25922, and P. aeruginosa ATCC 27853 colonies were inoculated onto nine 1-cm2 areas on a 3M 1805, 1860, 1860S, 1870+, 8210, 8110S, or 9105S FFR. Contaminated respirators were treated according to protocols recommended by the STERRAD 100NX, Bioquell Z-2, Sterizone VP4, or Clean Works Mini systems. Decontamination efficacy was determined by comparing colony counts cultured from excised segments of treated and untreated FFR. Results: All devices achieved a 6-log reduction in bacterial burden and met FDA sterilization criteria. The Bioquell Z-2 device demonstrated 100% efficacy against both gram-positive and gram-negative organisms with all FFRs tested. Colonies of S. aureus ATCC 29213 and 44300 and VRE were cultivable from up to 9 (100%) of 9 STERRAD 100NX- and Sterizone VP4-treated segments. Viable B. subtilis ATCC 6633 organisms were recovered from 76.0% of STERRAD 100NX-treated FFR segments. Conclusions: Variability in decontamination efficacy was noted across devices and FFR types. gram-positive organisms were more difficult to completely eliminate than were gram-negative organisms. Prior to initiating FFR decontamination practices, institutions should verify the effectiveness of their devices and the safety of treated FFR.