Literature DB >> 25218315

Is benchmarking possible in audit of early outcomes after operations for head and neck cancer?

David Tighe1, Isabel Sassoon2, A Kwok3, Mark McGurk4.   

Abstract

There is a need for a validated means of adjusting for case mix in morbidity audits of patients with cancer of the head and neck. To address this, we did a multicentre audit of 3 U.K. NHS cancer networks that treat patients with head and neck cancer, to compare the incidence of early adverse postoperative outcomes and to develop a means of adjusting for case mix. We did a retrospective and prospective audit of the case notes of 901 consecutive patients who had 1034 operations for squamous cell carcinoma (SCC) of the head and neck under general anaesthesia at 3 NHS hospitals. Analysis of raw data showed postoperative 30-day mortality (n=17) to be consistent between sites (1.7%-1.9%) but 30-day complication rates varied more (34%-49%). Logistic regression models predicting morbidity discriminated well (area under the curve 0.74-0.76). Adjusted morbidity rates for the 3 units were compared on a funnel plot with 95% and 99% confidence intervals to account for random variation. It is possible to benchmark surgical performance by focusing on early postoperative outcomes in head and neck surgery. Morbidity is common and usually has a considerable impact on recovery, bed occupancy, cost, and the patient's perception of the quality of care.
Copyright © 2014 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Audit; Benchmarking; Case-mix adjustment; HNSCC; Morbidity; Mortality; Performance; Surgical Outcomes

Mesh:

Year:  2014        PMID: 25218315     DOI: 10.1016/j.bjoms.2014.08.020

Source DB:  PubMed          Journal:  Br J Oral Maxillofac Surg        ISSN: 0266-4356            Impact factor:   1.651


  2 in total

1.  Validating a benchmarking tool for audit of early outcomes after operations for head and neck cancer.

Authors:  D Tighe; I Sassoon; M McGurk
Journal:  Ann R Coll Surg Engl       Date:  2016-12-05       Impact factor: 1.891

2.  Guidelines on constructing funnel plots for quality indicators: A case study on mortality in intensive care unit patients.

Authors:  Ilona Wm Verburg; Rebecca Holman; Niels Peek; Ameen Abu-Hanna; Nicolette F de Keizer
Journal:  Stat Methods Med Res       Date:  2017-03-23       Impact factor: 3.021

  2 in total

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