Τετάρτη 3 Ιανουαρίου 2018

Quality Indicators: Measurement and Predictors in Head and Neck Cancer Free Flap Patients.

Quality Indicators: Measurement and Predictors in Head and Neck Cancer Free Flap Patients.

Otolaryngol Head Neck Surg. 2017 Dec 01;:194599817742373

Authors: Eskander A, Kang SY, Tweel B, Sitapara J, Old M, Ozer E, Agrawal A, Carrau R, Rocco J, Teknos TN

Abstract
Objective To determine the predictors of length of stay (LOS), readmission within 30 days, and unplanned return to the operating room (OR) within 30 days in head and neck free flap patients. Study Design Case series with chart review. Setting Tertiary academic cancer hospital. Subjects and Methods All head and neck free flap patients at The Ohio State University (OSU, 2006-2012) were assessed. Multivariable logistic regression to assess the impact of patient factors, flap and wound factors, and intraoperative factors on the aforementioned quality metric outcomes. Results In total, 515 patients were identified, of whom 66% had oral cavity cancers, 33% had recurrent tumors, and 28% underwent primary radiotherapy. Of the patients, 31.5% had a LOS greater than 9 days, predicted by longer operative time, oral cavity and pharyngeal tumor sites, blood transfusion, diabetes mellitus, and any complication. A total of 12.6% of patients were readmitted within 30 days predicted by absent OSU preoperative assessment clinic attendance and any complication, and 14.8% of patients had an unplanned OR return predicted by advanced age. Conclusions When assessing quality metrics, adjustment for the complexity involved in managing patients with head and neck cancer with a high comorbidity index, clean contaminated wounds, and a high degree of primary radiotherapy is important. Patients seen in a preoperative assessment clinic had a lower risk of readmission postoperatively, and this should be recommended for all head and neck free flap patients. Quality improvement projects should focus on predictors and prevention of complications as this was the number one predictor of both increased length of stay and readmission.

PMID: 29293404 [PubMed - as supplied by publisher]



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