7 research outputs found

    Treatment and Outcomes of Non-Small-Cell Lung Cancer Patients with High Comorbidity

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    Background: The life expectancy of untreated non-small-cell lung cancer (NSCLC) is dismal, while treatment for NSCLC improves survival. The presence of comorbidities is thought to play a significant role in the decision to treat or not treat a given patient. We aim to evaluate the association of comorbidities with the survival of patients treated for NSCLC. Methods: We performed a retrospective study of patients aged ≥66 years with invasive NSCLC between the years 2007 and 2011 in the Surveillance, Epidemiology, and End Results Kentucky Cancer Registry. Comorbidity was measured using the Klabunde Comorbidity Index (KCI), and univariate and multivariate logistic regression models were used to measure association between receiving treatment and comorbidity. Kaplan-Meier plots were constructed to estimate time-to-event outcomes. Results: A total of 4014 patients were identified; of this, 94.9% were white and 55.7% were male. The proportion of patients who did not receive any treatment was 8.7%, 3.9%, 19.1%, and 23.5% for stages I, II, III, and IV, respectively (p \u3c 0.0001). In multivariate analysis, older age, higher stage, and higher comorbidity (KCI ≥ 3) were associated with a lower likelihood of receiving any treatment. The median overall survival (OS) for untreated and KCI=0 was 17.7 months for stages I and II, 2.3 months for stage III, and 1.3 months for stage IV. The median OS for treated and KCI=0 was 58.9 months for stages I and II, 16.8 months for stage III, and 5.8 months for stage IV (p \u3c 0.01). Treatment was an independent predictor of OS in multivariate analysis that included KCI scores. Conclusion: Our data suggest that lung cancer patients may derive a survival benefit from therapies, regardless of the presence of comorbidities, although the degree of benefit seems to decrease with higher KCI scores

    Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

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    Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

    Modular interconnected processes, fluid partnering, and innovation speed: A loosely coupled systems perspective on B2B service supply chain management

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    In this paper, we examine whether and how loosely coupled systems in service supply chains influence the speed of innovation in service organizations. Drawing upon the nomological network of loosely coupled systems, we propose a way for supply chains in the business to business (B2B) market context to be conceptualized as loosely coupled systems and explain how the dialectical elements of modularity at the interface of standard process and content interfaces (SPCI) and structured data connectivity (SDC) enable the sharing of high-quality information through fluid partnership in service supply chains to improve innovation speed. Results that are based on a sample of service firms indicate that SPCI and SDC are positively associated with modular interconnected processes, and they, in turn, positively influence the ability to reconfigure supply chain partners (fluid partnership). Fluid partnership enhances information quality, which in turn, influences innovation speed. Implications are discussed for B2B service supply chain efforts in improving innovation speed
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