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What can surgery learn from other high-performance disciplines?

ABSTRACT: High-performance disciplines have always been concerned with safety and exceptional performance. They have established a culture of vigilance and accepted that human error is both inevitable and ubiquitous. These disciplines, therefore, have all implemented a 'systems approach' to error by focusing on predicting, preventing, rescuing and reporting errors that occur so that they can constantly adapt and improve. Given the complexity of surgery, and the error-prone environment within which it takes place, extracting positive behaviours from other high-performance disciplines will serve to improve performance and enhance patient safety. Surgery is being practiced in an ever-changing environment. Currently, there is less available operative experience for surgical trainees; multi-morbidity in patients is growing and rapidly evolving technology means that more high-tech equipment is being used in procedures. This article evaluates the effectiveness of current surgical protocol in reducing errors and possible modifications that can be made to fit the new environment that surgery is now being practiced in. It will then describe how three different high-performance disciplines: aviation, professional sport and Formula 1, have developed in their approaches to safety and excellence, which will serve as the basis for a discussion about what more can be learnt from these disciplines so that the surgical profession can continue to excel in the face of change.

SUBMITTER: O'Logbon J

PROVIDER: S-EPMC7305423 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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What can surgery learn from other high-performance disciplines?

O'Logbon Jessica J

Annals of medicine and surgery (2012) 20200424

High-performance disciplines have always been concerned with safety and exceptional performance. They have established a culture of vigilance and accepted that human error is both inevitable and ubiquitous. These disciplines, therefore, have all implemented a 'systems approach' to error by focusing on predicting, preventing, rescuing and reporting errors that occur so that they can constantly adapt and improve. Given the complexity of surgery, and the error-prone environment within which it take ...[more]

PMID: 32577226

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Project description:Background: Little is known about treatment expectations of patients with spinal metastases undergoing radiotherapy and/or surgery. Assuming that patients with spinal metastases share characteristics with patients who had spinal surgery for non-cancer related conditions and with advanced cancer patients, we performed a systematic review to summarize the literature on patient expectations regarding treatment outcomes of spinal surgery and advanced cancer care.Methods: A comprehensive search was performed in MEDLINE, EMBASE and PsycINFO for studies between 2000 and sep-2019. Studies including adult patients (>?18?years), undergoing spinal surgery or receiving advanced cancer care, investigating patients' pre-treatment expectations regarding treatment outcomes were included. Two independent reviewers screened titles, abstracts and full-texts, extracted data and assessed methodological quality.Results: The search identified 7343 articles, of which 92 were selected for full-text review. For this review, 31 articles were included. Patients undergoing spinal surgery had overly optimistic expectations regarding pain and symptom relief, they underestimated the probability of functional disability, and overestimated the probability of (complete) recovery and return to work. Studies highlighted that patients feel not adequately prepared for surgery in terms of post-treatment expectations. Similarly, advanced cancer patients receiving palliative treatment often had overly optimistic expectations regarding their survival probability and cure rates.Conclusions: Patients tend to have overly optimistic expectations regarding pain and symptom relief, recovery and prognosis following spinal surgery or advanced cancer care. Pretreatment consultation about the expected pain and symptom relief, recovery and prognosis may improve understanding of prognosis, and promote and manage expectations, which, in turn, may lead to better perceived outcomes.Trial registration: PROSPERO registration number: CRD42020145151 .

Project description:BACKGROUND:As the geriatric population grows, the need for hospitals performing high quality emergency general surgery (EGS) on older patients will increase. Identifying clusters of high-performing geriatric emergency general surgery hospitals would substantiate the need for in-depth analyses of hospital-specific structures and practices that benefit older EGS patients. The objectives of this study were therefore to identify clusters of hospitals based on mortality performance for geriatric patients undergoing common EGS operations and to determine if hospital performance was similar for all operation types. METHODS:Hospitals in the California State Inpatient Database were included if they performed a range of eight common EGS operations in patients 65 years or older, with a minimum requirement of three of each operation performed over 2 years. Multivariable beta regression models were created to define hospital-level risk-adjusted mortality. Centroid cluster analysis was used to identify groups of hospitals based on mortality and to determine if mortality-performance differed by operation. RESULTS:One hundred seven hospitals were included, performing a total of 24,279 operations in older patients. Hospitals separated into three distinct clusters: high, average, and low performers. The high-performing hospitals had survival rates 1 to 2 standard deviations better than the low-performers (p < 0.001). For each cluster, high performance in any one EGS operation consistently translated into high performance across all EGS operations. CONCLUSION:Hospitals conducting EGS operations in the geriatric patient population cluster into three distinct groups based on their survival performance. High-performing hospitals significantly outperform the average and low performers across every operation. The high-performers achieve reliable, high-quality results regardless of operation type. Further qualitative research is needed to investigate the perioperative drivers of hospital performance in the geriatric EGS population. LEVEL OF EVIDENCE:Study Type Prognostic, level III.

Project description:OBJECTIVE:To provide insight into how and in what clinical fields overdiagnosis is studied and give directions for further applied and methodological research. DESIGN:Scoping review. DATA SOURCES:Medline up to August 2017. STUDY SELECTION:All English studies on humans, in which overdiagnosis was discussed as a dominant theme. DATA EXTRACTION:Studies were assessed on clinical field, study aim (ie, methodological or non-methodological), article type (eg, primary study, review), the type and role of diagnostic test(s) studied and the context in which these studies discussed overdiagnosis. RESULTS:From 4896 studies, 1851 were included for analysis. Half of all studies on overdiagnosis were performed in the field of oncology (50%). Other prevalent clinical fields included mental disorders, infectious diseases and cardiovascular diseases accounting for 9%, 8% and 6% of studies, respectively. Overdiagnosis was addressed from a methodological perspective in 20% of studies. Primary studies were the most common article type (58%). The type of diagnostic tests most commonly studied were imaging tests (32%), although these were predominantly seen in oncology and cardiovascular disease (84%). Diagnostic tests were studied in a screening setting in 43% of all studies, but as high as 75% of all oncological studies. The context in which studies addressed overdiagnosis related most frequently to its estimation, accounting for 53%. Methodology on overdiagnosis estimation and definition provided a source for extensive discussion. Other contexts of discussion included definition of disease, overdiagnosis communication, trends in increasing disease prevalence, drivers and consequences of overdiagnosis, incidental findings and genomics. CONCLUSIONS:Overdiagnosis is discussed across virtually all clinical fields and in different contexts. The variability in characteristics between studies and lack of consensus on overdiagnosis definition indicate the need for a uniform typology to improve coherence and comparability of studies on overdiagnosis.

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What can surgery learn from other high-performance disciplines?

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What can surgery learn from other high-performance disciplines?

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