Jean M Moran1, Mary Feng2, Lisa A Benedetti3, Robin Marsh2, Kent A Griffith4, Martha M Matuszak2, Michael Hess5, Matthew McMullen6, Jennifer H Fisher7, Teamour Nurushev8, Margaret Grubb2, Stephen Gardner9, Daniel Nielsen2, Reshma Jagsi2, James A Hayman2, Lori J Pierce2. 1. Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan. Electronic address: jmmoran@med.umich.edu. 2. Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan. 3. Department of Radiation Oncology, William Beaumont Hospital, Royal Oak, Michigan. 4. Department of Biostatistics, University of Michigan, Ann Arbor, Michigan. 5. School of Information, University of Michigan, Ann Arbor, Michigan. 6. Radiation Oncology, St. Joseph Mercy Hospital, Ypsilanti, Michigan. 7. Johnson Family Center for Cancer Care, Mercy Health Partners, Muskegon, Michigan. 8. 21st Century Oncology of Michigan, Farmington Hills, Michigan. 9. Radiation Oncology Department, Henry Ford Health System, Detroit, Michigan.
Abstract
PURPOSE: A database in which patient data are compiled allows analytic opportunities for continuous improvements in treatment quality and comparative effectiveness research. We describe the development of a novel, web-based system that supports the collection of complex radiation treatment planning information from centers that use diverse techniques, software, and hardware for radiation oncology care in a statewide quality collaborative, the Michigan Radiation Oncology Quality Consortium (MROQC). METHODS AND MATERIALS: The MROQC database seeks to enable assessment of physician- and patient-reported outcomes and quality improvement as a function of treatment planning and delivery techniques for breast and lung cancer patients. We created tools to collect anonymized data based on all plans. RESULTS: The MROQC system representing 24 institutions has been successfully deployed in the state of Michigan. Since 2012, dose-volume histogram and Digital Imaging and Communications in Medicine-radiation therapy plan data and information on simulation, planning, and delivery techniques have been collected. Audits indicated >90% accurate data submission and spurred refinements to data collection methodology. CONCLUSIONS: This model web-based system captures detailed, high-quality radiation therapy dosimetry data along with patient- and physician-reported outcomes and clinical data for a radiation therapy collaborative quality initiative. The collaborative nature of the project has been integral to its success. Our methodology can be applied to setting up analogous consortiums and databases.
PURPOSE: A database in which patient data are compiled allows analytic opportunities for continuous improvements in treatment quality and comparative effectiveness research. We describe the development of a novel, web-based system that supports the collection of complex radiation treatment planning information from centers that use diverse techniques, software, and hardware for radiation oncology care in a statewide quality collaborative, the Michigan Radiation Oncology Quality Consortium (MROQC). METHODS AND MATERIALS: The MROQC database seeks to enable assessment of physician- and patient-reported outcomes and quality improvement as a function of treatment planning and delivery techniques for breast and lung cancerpatients. We created tools to collect anonymized data based on all plans. RESULTS: The MROQC system representing 24 institutions has been successfully deployed in the state of Michigan. Since 2012, dose-volume histogram and Digital Imaging and Communications in Medicine-radiation therapy plan data and information on simulation, planning, and delivery techniques have been collected. Audits indicated >90% accurate data submission and spurred refinements to data collection methodology. CONCLUSIONS: This model web-based system captures detailed, high-quality radiation therapy dosimetry data along with patient- and physician-reported outcomes and clinical data for a radiation therapy collaborative quality initiative. The collaborative nature of the project has been integral to its success. Our methodology can be applied to setting up analogous consortiums and databases.
Authors: Peter Paximadis; Matthew Schipper; Martha Matuszak; Mary Feng; Shruti Jolly; Thomas Boike; Inga Grills; Larry Kestin; Benjamin Movsas; Kent Griffith; Gregory Gustafson; Jean Moran; Teamour Nurushev; Jeffrey Radawski; Lori Pierce; James Hayman Journal: Pract Radiat Oncol Date: 2017-07-19
Authors: Reshma Jagsi; Kent A Griffith; Frank Vicini; Thomas Boike; Michael Dominello; Gregory Gustafson; James A Hayman; Jean M Moran; Jeffrey D Radawski; Eleanor Walker; Lori Pierce Journal: JAMA Oncol Date: 2022-06-01 Impact factor: 33.006