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10.1097/SLA.0000000000001414 http://scihub22266oqcxt.onion/10.1097/SLA.0000000000001414 C4777662!4777662!26501706     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ann+Surg 2016 ; 263 (4): 692-7 Nephropedia Template TP {{tp|p=26501706|t=2016. Impact of Hospital Characteristics on Failure to Rescue Following Major Surgery |pdf=|usr=}}{{26501706}} gab.com Text Impact of Hospital Characteristics on Failure to Rescue Following Major Surgery JO: Ann Surg http://www.kidney.de/pget.php?&tw=1&pmid=26501706 #FOAvip Objective: To determine the effect of hospital characteristics on failure to rescue after high-risk surgery in Medicare Beneficiaries. Summary Background Data: Reducing failure to rescue events is a common quality target for U.S. hospitals. Little is known about which hospital characteristics influence this phenomenon and more importantly by how much. Methods: We identified 1,945,802 Medicare beneficiaries undergoing one of six high-risk general or vascular operations between 2007-10. Using multilevel mixed-effects logistic regression modeling, we evaluated how failure to rescue rates were influenced by specific hospital characteristics previously associated with postsurgical outcomes. We used variance partitioning to determine the relative influence of patient and hospital characteristics on the between-hospital variability in failure to rescue rates. Results: Failure to rescue rates varied up to 11-fold between very high and very low mortality hospitals. Comparing the highest and lowest mortality hospitals, we observed that teaching status (range: OR 1.08-1.54), high hospital technology (range: OR 1.08-1.58), increasing nurse-to-patient ratio (range: OR 1.02-1.14), and presence of >20 ICU beds (range: OR 1.09-1.62) significantly influenced failure to rescue rates for all procedures. When taken together, hospital and patient characteristics accounted for 12% (lower extremity revascularization) to 57% (esophagectomy) of the observed variation in failure to rescue rates across hospitals. Conclusions: While several hospital characteristics are associated with lower failure to rescue rates, these macro-system factors explain a small proportion of the variability between hospitals. This suggests that micro-system characteristics, such as hospital culture and safety climate, may play a larger role in improving a hospital's ability to manage postoperative complications. Twit Text FOAVip Impact of Hospital Characteristics on Failure to Rescue Following Major Surgery ????Ann Surg http://www.kidney.de/pget.php?&tw=1&pmid=26501706 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26501706 #FOAvip English Wikipedia <ref>{{Cite pmid|26501706}}</ref> Impact of Hospital Characteristics on Failure to Rescue Following Major Surgery #MMPMID26501706 Sheetz KH; Dimick JB; Ghaferi AA Ann Surg 2016[Apr]; 263 (4): 692-7 PMID26501706show ga Objective: To determine the effect of hospital characteristics on failure to rescue after high-risk surgery in Medicare Beneficiaries. Summary Background Data: Reducing failure to rescue events is a common quality target for U.S. hospitals. Little is known about which hospital characteristics influence this phenomenon and more importantly by how much. Methods: We identified 1,945,802 Medicare beneficiaries undergoing one of six high-risk general or vascular operations between 2007-10. Using multilevel mixed-effects logistic regression modeling, we evaluated how failure to rescue rates were influenced by specific hospital characteristics previously associated with postsurgical outcomes. We used variance partitioning to determine the relative influence of patient and hospital characteristics on the between-hospital variability in failure to rescue rates. Results: Failure to rescue rates varied up to 11-fold between very high and very low mortality hospitals. Comparing the highest and lowest mortality hospitals, we observed that teaching status (range: OR 1.08-1.54), high hospital technology (range: OR 1.08-1.58), increasing nurse-to-patient ratio (range: OR 1.02-1.14), and presence of >20 ICU beds (range: OR 1.09-1.62) significantly influenced failure to rescue rates for all procedures. When taken together, hospital and patient characteristics accounted for 12% (lower extremity revascularization) to 57% (esophagectomy) of the observed variation in failure to rescue rates across hospitals. Conclusions: While several hospital characteristics are associated with lower failure to rescue rates, these macro-system factors explain a small proportion of the variability between hospitals. This suggests that micro-system characteristics, such as hospital culture and safety climate, may play a larger role in improving a hospital's ability to manage postoperative complications. äImpact of Hospital Characteristics on Failure to Rescue Following Majo(epmc).pdf DeepDyve Pubget Overpricing