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. 2009 May;144(5):455-62; discussion 462-3.
doi: 10.1001/archsurg.2009.56.

Quality measures for breast cancer surgery: initial validation of feasibility and assessment of variation among surgeons

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Quality measures for breast cancer surgery: initial validation of feasibility and assessment of variation among surgeons

Laurence E McCahill et al. Arch Surg. 2009 May.

Abstract

Objectives: To identify and quantify surgical outcomes as possible quality measures of initial breast cancer surgery and to assess variation among surgeons.

Design: Descriptive analysis of concurrently collected outcome measures.

Setting: University hospital with a designated breast cancer center.

Patients: Patients with a preoperative diagnosis of invasive breast cancer or ductal carcinoma in situ undergoing their initial cancer surgery from April 1, 2003, to March 30, 2008.

Main outcome measures: Eight measures were identified: (1) total mastectomy rate; (2) close (<1 mm) and positive margin rate following initial partial mastectomy; (3) number of operations required in breast conservation; (4) number of nodes obtained from sentinel lymph node biopsy; (5) number of nodes from axillary dissection; (6) proportion of patients with positive sentinel lymph node biopsy undergoing axillary dissection; (7) use of intraoperative lymph node assessment; and (8) time from diagnosis to surgery.

Results: Nine hundred ten operations (218 for ductal carcinoma in situ, 692 for invasive breast cancer) were performed by 6 surgeons. Variation existed among surgeons in the combined close and positive margin rate, number of nodes obtained from sentinel lymph node biopsy, and use of intraoperative lymph node assessment. No significant variation was seen for the overall mastectomy rate, mean number of operations, positive margin rate alone, and number of lymph nodes from axillary dissection.

Conclusions: Quality indicators for breast cancer surgery can be identified and readily monitored. Outcome variation exists at a high-volume breast center. Further study into the causes and effects of this variation on short- and long-term patient outcomes as well as health care costs is needed.

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