Efficiency of Foot and Ankle Surgeries Completed on the Preoperative Stretcher vs Operating Room Table: A Randomized Controlled Trial
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ABSTRACT:
SUBMITTER: Parker E
PROVIDER: S-EPMC11348486 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature
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Project description:BackgroundWhen performing a total hip arthroplasty via the direct anterior approach (DAA), many orthopedic surgeons utilize an orthopedic traction table. This technique requires an expensive table, time for positioning, staff to operate the table, and time-consuming transitions when preparing the femur. Some surgeons advocate for an "off-table" technique to avoid these difficulties. In this paper, we compare operating room efficiency between on-table and off-table techniques.Material and methodsWe retrospectively reviewed patients undergoing total hip arthroplasty by a single surgeon across the transition from on-table to off-table DAA technique. Three cohorts were defined; the last 40 on-table hips, the first 40 off-table hips, followed by the second 40 hips. Timestamps from the operative record were recorded to calculate setup, surgical, takedown, and total room time. Implant fixation, patient demographic data, comorbidities, and complications were recorded.ResultsFrom cohort 1 to 2, there was a 7-minute (14.44%, P = .0002) improvement in setup time but no change in total room time. From cohort 2 to 3, there was an additional 7-minute (15.47%, P < .0001) improvement in setup time, 32-minute (25.88%, P < .0001) improvement in surgical time, and 40-minute (21.96%, P < .0001) improvement in total room time yielding cumulative changes from cohort 1 to 3 of 15 minutes (27.68%, P < .0001), 28 minutes (23.11%, P < .0001), and 43 minutes (23.37%, P < .0001), respectively. There was no correlation between height, weight, or body mass index and time at any interval.ConclusionConversion to an off-table DAA technique offers an improvement in operating room efficiency. This is seen in setup, operative, and total room time. Implementation could allow for an additional case each day.
| S-EPMC9121069 | biostudies-literature
Project description:The first microbial environment of infants born by C-section: The operating room microbes
| PRJEB11484 | ENA
Project description:BackgroundThe rate of unplanned return to the operation room (UROR) is an important index for the quality of surgeries. Study of the features and causes of patients who have suffered UROR is key to reduce the risk of it.MethodsA retrospective, observational study was conducted among lung cancer patients who have received lung resections and UROR over a 5-year period. The causes, findings, procedures of UROR and recovery of patients were examined.ResultsAmong the 23,345 lung cancer surgeries, 64 underwent UROR with the rate being 0.27%. Lobectomy was performed in 78.1% of the patients. The most common indication was post-operative bleeding, responsible for 82.8% (53/64) of the cases. The median length of stay after the second surgery was 7 days and over 90% of the patients were discharged with proper recovery. The death rate within 90 days after return to operation room (OR) was 1.6% (1/64). In the 53 cases caused by bleeding, 27 (50.9%) occurred in surgical sites, with the raw surface of lymph node dissection being most frequently affected. Bleedings on incisions and unknown origin took up 11.3% and 37.7%, respectively.ConclusionsBleeding is the most common indication which causes over 80% of UROR for lung cancer surgeries. Careful examination and complete hemostasis in surgery is key to reduce the risk of this unwanted complication.
| S-EPMC7797821 | biostudies-literature
Project description:PurposeOur primary purpose was to quantify the proportion of minor hand surgeries performed in the procedure room (PR) setting in a population-based cohort. Given the increase in the literature that has emerged since the mid-2000s highlighting the benefits of the PR setting, we hypothesized that a trend analysis would reveal increased utilization over time.MethodsWe used the 2006-2017 MarketScan Commercial Database to identify adults who underwent isolated minor hand surgeries performed in PR and operation room surgical settings in the United States. The Cochran-Armitage trends test was used to determine whether the proportion of all procedures (PR + operation room) changed over time.ResultsA total of 257,581 surgeries were included in the analysis, of which 24,966 (11.5%) were performed in the PR. There was an increase in the overall number of surgeries under study as well as increased utilization of the PR setting for open carpal tunnel release, trigger digit release, DeQuervain release, hand or finger mass excision, and hand or finger cyst excision. The magnitude of the increases in PR utilization was small: between 2006 and 2017, the PR utilization increased by 1.4% for open carpal tunnel release, 5.4% for trigger digit release, 2.9% for DeQuervain release, 10.1% for hand or finger mass excision, and 6.5% for hand or finger cyst excision.ConclusionsDespite the published benefits of the PR setting, we observed that the majority of these 5 common minor hand surgeries are performed in the operation room setting. Between 2006 and 2017, the office-based PR utilization increased slightly. The identification of barriers to PR utilization is needed to improve the value of care.Type of study/level of evidenceTherapeutic II.
| S-EPMC9731346 | biostudies-literature
Project description:BackgroundInternational guidelines promote preoperative education for patients undergoing orthopedic surgery. However, the evidence sustaining these recommendations comes mainly from studies for hip and knee replacement surgery. Little is known about patients undergoing foot and ankle surgery. We aimed to map and characterize all the available evidence on preoperative education for patients undergoing foot and ankle surgery.MethodsThis study complies with the PRISMA-ScR guidelines. We searched eight databases, including MEDLINE, Embase, and CENTRAL. We performed cross-citations and revised the references of included studies. We included studies addressing preoperative education in patients undergoing foot and ankle surgery. We did not exclude studies because of the way of delivering education, the agent that provided it, or the content of the preoperative education addressed in the study. Two independent authors screened the articles and extracted the data. The aggregated data are presented in descriptive tables.ResultsOf 1596 retrieved records, only 15 fulfilled the inclusion criteria. Four addressed preoperative education on patients undergoing foot and ankle surgery and the remaining 11 addressed a broader population, including patients undergoing foot and ankle surgery but did not provide separate data of them. Two studies reported that preoperative education decreases the length of stay of these patients, another reported that education increased the knowledge of the participants, and the other leaflets were well received by patients.ConclusionThis scoping review demonstrates that evidence on preoperative education in foot and ankle surgery is scarce. The available evidence supports the implementation of preoperative education in patients undergoing foot and ankle surgery for now. The best method of education and the real impact of this education remain to be determined.
| S-EPMC10644491 | biostudies-literature
Project description:BackgroundAccurate estimation of operative case-time duration is critical for optimizing operating room use. Current estimates are inaccurate and earlier models include data not available at the time of scheduling. Our objective was to develop statistical models in a large retrospective data set to improve estimation of case-time duration relative to current standards.Study designWe developed models to predict case-time duration using linear regression and supervised machine learning. For each of these models, we generated an all-inclusive model, service-specific models, and surgeon-specific models. In the latter 2 approaches, individual models were created for each surgical service and surgeon, respectively. Our data set included 46,986 scheduled operations performed at a large academic medical center from January 2014 to December 2017, with 80% used for training and 20% for model testing/validation. Predictions derived from each model were compared with our institutional standard of using average historic procedure times and surgeon estimates. Models were evaluated based on accuracy, overage (case duration > predicted + 10%), underage (case duration < predicted - 10%), and the predictive capability of being within a 10% tolerance threshold.ResultsThe machine learning algorithm resulted in the highest predictive capability. The surgeon-specific model was superior to the service-specific model, with higher accuracy, lower percentage of overage and underage, and higher percentage of cases within the 10% threshold. The ability to predict cases within 10% improved from 32% using our institutional standard to 39% with the machine learning surgeon-specific model.ConclusionsOur study is a notable advancement toward statistical modeling of case-time duration across all surgical departments in a large tertiary medical center. Machine learning approaches can improve case duration estimations, enabling improved operating room scheduling, efficiency, and reduced costs.
| S-EPMC7077507 | biostudies-literature
Project description:IntroductionOperating room (OR) fire can be a devastating and costly event to patients and health care providers. Prevention and effective management of such fires may present difficulties even for experienced OR staff.MethodsThis simulation involved a 52-year-old man presenting for excisional biopsy of a cervical lymph node to be performed under sedation. Participants were expected to identify and manage both contained and uncontained fires resulting from ignition by electrosurgical cautery. We conducted weekly multidisciplinary simulations in the mock OR at Massachusetts General Hospital. Participants included surgery and anesthesiology residents, certified registered nurse anesthetists, registered nurses, and surgical technicians. Participants were unaware of the scenario content. Each 90-minute session was divided into three parts: an orientation (10 minutes), the case with rapid cycle debriefing (65 minutes), and a final debriefing with course evaluations (15 minutes). Equipment consisted of a simulation OR with general surgery supplies, general anesthesia equipment, a high-fidelity Laerdal SimMan 3G simulator, a code cart, a defibrillator, dry ice for smoke effects, and a projector with a fire image.ResultsFrom April to June 2015, 86 participants completed this simulation. Participants reported that the simulation scenario was realistic (80%), was relevant to their clinical practice (93%), changed their practice (82%), and promoted teamwork (80%).DiscussionPrevention and management of OR fire require collaboration and prompt coordination between anesthesiologists, surgeons, and nurses. This simulation case scenario was implemented to train multidisciplinary learners in the identification and crisis management of such an event.
| S-EPMC7012309 | biostudies-literature
Project description:ObjectivesArtificial intelligence (AI) holds great promise for transforming the healthcare industry. However, despite its potential, AI is yet to see widespread deployment in clinical settings in significant part due to the lack of publicly available clinical data and the lack of transparency in the published AI algorithms. There are few clinical data repositories publicly accessible to researchers to train and test AI algorithms, and even fewer that contain specialized data from the perioperative setting. To address this gap, we present and release the Medical Informatics Operating Room Vitals and Events Repository (MOVER).Materials and methodsThis first release of MOVER includes adult patients who underwent surgery at the University of California, Irvine Medical Center from 2015 to 2022. Data for patients who underwent surgery were captured from 2 different sources: High-fidelity physiological waveforms from all of the operating rooms were captured in real time and matched with electronic medical record data.ResultsMOVER includes data from 58 799 unique patients and 83 468 surgeries. MOVER is available for download at https://doi.org/10.24432/C5VS5G, it can be downloaded by anyone who signs a data usage agreement (DUA), to restrict traffic to legitimate researchers.DiscussionTo the best of our knowledge MOVER is the only freely available public data repository that contains electronic health record and high-fidelity physiological waveforms data for patients undergoing surgery.ConclusionMOVER is freely available to all researchers who sign a DUA, and we hope that it will accelerate the integration of AI into healthcare settings, ultimately leading to improved patient outcomes.
| S-EPMC10582520 | biostudies-literature
Project description:BackgroundOver-crowded surgical trays result in perioperative inefficiency and unnecessary costs. While methodologies to reduce the size of surgical trays have been described in the literature, they each have their own drawbacks. In this study, we compared three methods: (1) clinician review (CR), (2) mathematical programming (MP), and (3) a novel hybrid model (HM) based on surveys and cost analysis. While CR and MP are well documented, CR can yield suboptimal reductions and MP can be laborious and technically challenging. We hypothesized our easy-to-implement HM would result in a reduction of surgical instruments in both the laminectomy tray (LT) and basic neurosurgery tray (BNT) that is comparable to CR and MP.MethodsThree approaches were tested: CR, MP, and HM. We interviewed 5 neurosurgeons and 3 orthopedic surgeons, at our institution, who performed a total of 5437 spine cases, requiring the use of the LT and BNT over a 4-year (2017-2021) period. In CR, surgeons suggested which surgical instruments should be removed. MP was performed via the mathematical analysis of 25 observations of the use of a LT and BNT tray. The HM was performed via a structured survey of the surgeons' estimated instrument usage, followed by a cost-based inflection point analysis.ResultsThe CR, MP, and HM approaches resulted in a total instrument reduction of 41%, 35%, and 38%, respectively, corresponding to total cost savings per annum of $50,211.20, $46,348.80, and $44,417.60, respectively.ConclusionsWhile hospitals continue to examine perioperative services for potential inefficiencies, surgical inventory will be increasingly scrutinized. Despite MP being the most accurate methodology to do so, our results suggest that savings were similar across all three methods. CR and HM are significantly less laborious and thus are practical alternatives.
| S-EPMC10130344 | biostudies-literature
Project description:Background and objectivesContribution margin per hour (CMH) has been proposed in healthcare systems to increase the profitability of operating suites. The aim of our study is to propose a simple and reproducible model to calculate CMH and to increase cost-effectiveness.MethodsFor the ten most commonly performed surgical procedures at our Institution, we prospectively collected their diagnosis-related group (DRG) reimbursement, variable costs and mean procedural time. We quantified the portion of total staffed operating room time to be reallocated with a minimal risk of overrun. Moreover, we calculated the total CMH with a random reallocation on a first come-first served basis. Finally, prioritizing procedures with higher CMH, we ran a simulation by calculating the total CMH.ResultsOver a two-months period, we identified 14.5 hours of unutilized operating room to reallocate. In the case of a random "first come-first serve" basis, the total earnings were 87,117 United States dollars (USD). Conversely, with a reallocation which prioritized procedures with a high CMH, it was possible to earn 140,444 USD (p < 0.001).ConclusionSurgical activity may be one of the most profitable activities for hospitals, but a cost-effective management requires a comprehension of its cost profile. Reallocation of unused operating room time according to CMH may represent a simple, reproducible and reliable tool for elective cases on a waiting list. In our experience, it helped improving the operating suite cost-effectiveness.
| S-EPMC10240232 | biostudies-literature