Literature DB >> 26501706

Impact of Hospital Characteristics on Failure to Rescue Following Major Surgery.

Kyle H Sheetz1, Justin B Dimick, Amir A Ghaferi.   

Abstract

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 US 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 1 of six high-risk general or vascular operations between 2007 and 2010. 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: odds ratio [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 intensive care unit (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: Although several hospital characteristics are associated with lower failure to rescue rates, these macrosystem factors explain a small proportion of the variability between hospitals. This suggests that microsystem characteristics, such as hospital culture and safety climate, may play a larger role in improving a hospital's ability to manage postoperative complications.

Entities:  

Mesh:

Year:  2016        PMID: 26501706      PMCID: PMC4777662          DOI: 10.1097/SLA.0000000000001414

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  33 in total

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7.  The association between hospital care intensity and surgical outcomes in medicare patients.

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8.  Hospital and patient characteristics associated with death after surgery. A study of adverse occurrence and failure to rescue.

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9.  Use of administrative data to find substandard care: validation of the complications screening program.

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10.  Understanding failure to rescue and improving safety culture.

Authors:  Amir A Ghaferi; Justin B Dimick
Journal:  Ann Surg       Date:  2015-05       Impact factor: 12.969

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Review 2.  Development and validation of early warning score system: A systematic literature review.

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3.  Insurance Coverage Type Impacts Hospitalization Patterns Among Patients with Hepatopancreatic Malignancies.

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4.  Facility Variation in Local Staging of Rectal Adenocarcinoma and its Contribution to Underutilization of Neoadjuvant Therapy.

Authors:  Douglas S Swords; Benjamin S Brooke; David E Skarda; Gregory J Stoddard; H Tae Kim; William T Sause; Courtney L Scaife
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5.  Procedure-Specific Volume and Nurse-to-Patient Ratio: Implications for Failure to Rescue Patients Following Liver Surgery.

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6.  Association of Delivery System Integration and Outcomes for Major Cancer Surgery.

Authors:  Jonathan Li; Zaojun Ye; James M Dupree; Brent K Hollenbeck; Hye Sung Min; Deborah Kaye; Lindsey A Herrel; David C Miller; Chad Ellimoottil
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7.  Association of Kidney Transplant Center Volume With 3-Year Clinical Outcomes.

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Journal:  Ann Surg       Date:  2019-07       Impact factor: 12.969

Review 10.  [Unplanned admission or readmission to the intensive care unit : Avoidable or fateful?]

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