Abstract

BackgroundCommon measures of surgical quality are 30-day morbidity and mortality, which poorly describe breast cancer surgical quality with extremely low morbidity and mortality rates. Several national quality programs have collected additional surgical quality measures; however, program participation is voluntary and results may not be generalizable to all surgeons. We developed the Breast Cancer Surgical Outcomes (BRCASO) database to capture meaningful breast cancer surgical quality measures among a non-voluntary sample, and study variation in these measures across providers, facilities, and health plans. This paper describes our study protocol, data collection methods, and summarizes the strengths and limitations of these data.MethodsWe included 4524 women ≥18 years diagnosed with breast cancer between 2003-2008. All women with initial breast cancer surgery performed by a surgeon employed at the University of Vermont or three Cancer Research Network (CRN) health plans were eligible for inclusion. From the CRN institutions, we collected electronic administrative data including tumor registry information, Current Procedure Terminology codes for breast cancer surgeries, surgeons, surgical facilities, and patient demographics. We supplemented electronic data with medical record abstraction to collect additional pathology and surgery detail. All data were manually abstracted at the University of Vermont.ResultsThe CRN institutions pre-filled 30% (22 out of 72) of elements using electronic data. The remaining elements, including detailed pathology margin status and breast and lymph node surgeries, required chart abstraction. The mean age was 61 years (range 20-98 years); 70% of women were diagnosed with invasive ductal carcinoma, 20% with ductal carcinoma in situ, and 10% with invasive lobular carcinoma.ConclusionsThe BRCASO database is one of the largest, multi-site research resources of meaningful breast cancer surgical quality data in the United States. Assembling data from electronic administrative databases and manual chart review balanced efficiency with high-quality, unbiased data collection. Using the BRCASO database, we will evaluate surgical quality measures including mastectomy rates, positive margin rates, and partial mastectomy re-excision rates among a diverse, non-voluntary population of patients, providers, and facilities.

Highlights

  • The Institute of Medicine report “Crossing the Quality Chasm”, emphasized high quality care should be safe, timely, effective, efficient, equitable, and patient-centered [1]

  • Data from the Vermont Breast Cancer Surgical Outcomes (VBCSO) database were combined with data from three Cancer Research Network (CRN) health plans (Group Health Cooperative, Kaiser Permanente Colorado, and Marshfield Clinic) to form a single, large, multi-site database called Breast Cancer Surgical Outcomes (BRCASO), which resides at the Van Andel Research Institute (VARI)

  • All study procedures were approved by Institutional Review Boards at the University of Vermont, VARI, and Kaiser Permanente Colorado; we received a waiver of consent to collect patient and provider-level data

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Summary

Introduction

Trained nurses abstracted medical record data on initial mastectomy rate, close and positive margin rates, number of surgeries, number of lymph nodes obtained during sentinel node biopsy and/or axillary dissection, use of intraoperative pathology assessment for sentinel nodes, and days between diagnosis and initial surgery These data have demonstrated variation in surgical outcomes among surgeons who practice at one institution [4]. We extended the VBCSO database to three Cancer Research Network (CRN) health plans to develop a large, non-voluntary, multi-institution database to study breast cancer surgical quality. We developed the Breast Cancer Surgical Outcomes (BRCASO) database to capture meaningful breast cancer surgical quality measures among a non-voluntary sample, and study variation in these measures across providers, facilities, and health plans. This paper describes our study protocol, data collection methods, and summarizes the strengths and limitations of these data

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