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The ACR Mammography Positioning Improvement Collaborative: A Multicenter Improvement Program Within a Learning

Sarah M Pittman1, Kay Zacharias-Andrews2, Kandice Garcia Tomkins3

  • 1Breast Imaging Fellowship Program Director, Department of Radiology, Stanford University School of Medicine, Stanford, California; Physician Leader, Mammography Positioning Improvement Collaborative, American College of Radiology Learning Network.

Journal of the American College of Radiology : JACR
|July 1, 2024
PubMed
Summary
This summary is machine-generated.

The ACR Mammography Positioning Improvement Collaborative successfully enhanced screening mammogram quality. Participating sites improved positioning accuracy from 51% to 86%, demonstrating the program

Keywords:
Breast positioningimage qualitymammographyperformance improvement

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Area of Science:

  • Radiology
  • Medical Imaging Quality Improvement
  • Health Services Research

Background:

  • Mammography positioning is critical for accurate cancer detection.
  • Variability in positioning can lead to suboptimal image quality and diagnostic errors.
  • The American College of Radiology (ACR) initiated a collaborative to address positioning quality.

Purpose of the Study:

  • To evaluate the effectiveness of a structured improvement program on mammography positioning.
  • To assess the ability of participating sites to achieve a target of 85% or greater for screening mammograms meeting positioning criteria.
  • To foster a community of practice for quality improvement in mammography.

Main Methods:

  • Six organizations were selected for the first cohort based on leadership and data support.
  • Sites implemented a structured improvement program involving team organization, data gathering, root cause analysis, and intervention testing.
  • A standardized image quality scoring system was used to track weekly performance of screening mammograms meeting passing criteria.

Main Results:

  • The collaborative mean percentage of screening mammograms meeting passing criteria increased from 51% to 86% weekly.
  • Four out of six participating sites achieved or exceeded the target mean performance of 85%.
  • All participants reported a positive experience with the improvement program.

Conclusions:

  • A structured improvement program within a learning network framework can simultaneously improve mammography positioning performance across multiple sites.
  • Shared experiences and learnings within the collaborative enhance performance and build a community of practice.
  • The program positively impacts technologists, staff, and patient experience.