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Related Experiment Video

Updated: Feb 27, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Setting Quality Improvement Priorities for Women Receiving Systemic Therapy for Early-Stage Breast Cancer by Using

Katherine A Enright¹, Nathan Taback¹, Melanie Lynn Powis¹

¹Katherine A. Enright, Trillium Health Partners-Credit Valley Hospital, Mississauga; Katherine A. Enright, Nathan Taback, Rinku Sutradhar, Maureen E. Trudeau, and Monika K. Krzyzanowska, University of Toronto; Melanie Lynn Powis and Monika K. Krzyzanowska, Princess Margaret Cancer Centre; Alejandro Gonzalez, Lingsong Yun, Rinku Sutradhar, and Monika K. Krzyzanowska, Institute for Clinical Evaluative Sciences; Maureen E. Trudeau, Sunnybrook Odette Cancer Centre, Toronto; and Christopher M. Booth, Queen's University, Kingston, Ontario, Canada.

Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology

|July 7, 2017

Summary

Prioritizing quality measures (QMs) for early-stage breast cancer (EBC) treatment using variation and patient volume identifies key areas for improvement. This approach enhances systemic therapy quality across healthcare systems.

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Last Updated: Feb 27, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Area of Science:

Oncology
Health Services Research
Quality Improvement

Background:

Routine evaluation of quality measures (QMs) is crucial for identifying and addressing gaps in cancer care.
Targeting QMs with substantial performance variation offers the greatest potential for population-level impact.
Systemic therapy quality for early-stage breast cancer (EBC) requires focused improvement strategies.

Purpose of the Study:

To develop and apply a novel approach for prioritizing quality measures (QMs) in systemic therapy for EBC.
To identify QMs with the highest potential for system-level quality improvement based on interinstitutional variation and patient volume.
To inform quality improvement initiatives within cancer care systems.

Main Methods:

Utilized data from 28,427 EBC patients diagnosed between 2006-2010 in Ontario, Canada.
Linked registry and health care data for comprehensive patient and treatment information.
Ranked 15 systemic therapy QMs based on interquartile range of performance variation and patient volume, averaging rankings for priority.

Main Results:

Identified 84 institutions treating the EBC cohort.
Highlighted three key QMs for potential quality improvement: computerized physician order entry for chemotherapy, emergency room visits/hospitalizations during chemotherapy, and timely chemotherapy receipt.
Demonstrated the effectiveness of the ranking system in identifying high-impact areas.

Conclusions:

A straightforward ranking system integrating performance variation and patient volume effectively identifies priority areas for quality improvement in cancer care.
This methodology provides a population-level perspective for optimizing systemic therapy quality.
The approach is adaptable to other healthcare systems utilizing quality measures for driving improvements.