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Thirty-Day-Readmissions-in-Adults-Hospitalized-for (1)
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Pdf Summary
The document discusses two main studies related to thoracic surgery and medical readmissions, focusing on learning curves for robotic-assisted thoracic surgery (RobATS) and 30-day readmissions for COPD or bronchiectasis.<br /><br />The first study examines the learning curve for RobATS, emphasizing the challenges of determining proficiency due to limited institutional experience. The study cites previous research indicating proficiency at around 18 consecutive cases but acknowledges the difficulties in understanding these findings' broader implications. The study suggests that the rising adoption trend in RobATS is driven by new centers embracing the technology, with low-volume centers contributing to the data landscape. The study stresses the importance of including these centers in outcome studies to reflect current trends, noting that RobATS outcomes are influenced by entire healthcare teams, not just individual surgeons.<br /><br />The second part of the document highlights a study on 30-day hospital readmissions for patients with COPD or bronchiectasis using the Nationwide Readmissions Database from 2013. It identifies significant predictors of readmissions, including male sex, comorbidities like heart failure, depression, substance abuse, and having Medicare or Medicaid insurance. The data reveals that approximately 19% of COPD-related hospitalizations resulted in a readmission within 30 days, with the principal causes being respiratory diseases. The study emphasizes the complexity of factors causing readmissions and the need for diverse strategies to manage them effectively.<br /><br />Both sections underscore the necessity for ongoing data collection and analysis to better understand the performance and outcomes of RobATS and to devise effective strategies for reducing hospital readmissions due to respiratory conditions.
Keywords
Robotic-assisted thoracic surgery
RobATS learning curve
30-day readmissions
COPD
Bronchiectasis
Nationwide Readmissions Database
Healthcare teams
Proficiency challenges
Respiratory diseases
Hospital readmissions
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