Online Program

335214
Patterns of variation in quality of screening mammography in a safety-net health system


Monday, November 2, 2015

Avani Sheth, MD, MPH, Division of General Internal Medicine, Cook County Health and Hospitals System, Chicago, IL
Denisse Gil, BA, Division of General Internal Medicine, Cook County Health and Hospitals System, Chicago, IL
Elizabeth Marcus, MD, Department of Surgery, John H. Stroger Jr. Hospital of Cook County, Chicago, IL
Pamela Ganschow, MD, Division of General Internal Medicine, Cook County Health and Hospitals System, Chicago, IL
Background: Variation in mammography quality may contribute to racial disparities in breast cancer mortality.

Objective: To evaluate quality of screening mammography within a safety-net health system and identify factors that may contribute to patterns of variation in quality data.

Methods:  We conducted a retrospective abstraction of quality data for all screening mammograms completed at three sites (Site A, B, C) in 2013 within a safety-net health system in Chicago.  Data was aggregated into a standardized set of metrics and compared to local quality benchmarks.  Potential factors were identified to explain patterns in data that deviate from standards.

Results: In 2013, 5329 women received screening mammograms. Site A had a recall rate (13%) and biopsy recommendation rate (10%) that met quality standards, however a low cancer detection rate (1-2 per 1000).  This site served a younger, largely Hispanic, and well-screened population that may have a low cancer detection rate despite meeting other quality benchmarks.  Site B had a low recall rate (3.4%), high biopsy recommendation rate (29%), and low cancer detection rate (2-3 per 1000).  This pattern suggests missed findings on screening mammogram due to poor radiologist/technical quality. Site C reported a high recall rate (18%), high biopsy recommendation rate (21%) and high normal cancer detection rate (10 per 1000) possibly reflecting screening for a predominantly high-risk patient population.

Conclusions: There was wide variation in quality of screening mammography within one institution.  Understanding patterns in deviations of quality data may help sites identify modifiable factors to improve quality across a system.

Learning Areas:

Provision of health care to the public
Public health or related organizational policy, standards, or other guidelines

Learning Objectives:
Identify key quality metrics for screening mammography. Describe factors that contribute to deviation of quality data from standards for screening mammography.

Keyword(s): Cancer Prevention and Screening, Quality of Care

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am a preventive medicine fellow who participates in system-level planning of cancer screening services and involved in efforts to improve institutional quality of screening mammography.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.