An Introduction to Quantitative Aspects of Quality Improvement Science
The use of quality improvement (QI) has become widespread in medicine to improve patient and process outcomes through the methodology of improvement science. Each project follows a format that includes precisely specifying an aim, drivers/barriers to achieving that aim, and potential change concepts/interventions. It is then necessary to define how the data will be collected and displayed and how the significance of the change due to the interventions will be assessed. In this article, we describe the quantitative methods to provide a framework for the performance and reporting of QI projects.
Authors
- Zachary M. Grinspan (ORCID: https://orcid.org/0000-0001-6705-0932)
- Michael Phipps (ORCID: https://orcid.org/0000-0001-8398-5404)
- Lidia M.V.R. Moura (ORCID: https://orcid.org/0000-0002-1191-1315)
- Jeffrey Buchhalter (ORCID: https://orcid.org/0000-0002-6807-8328)
- Emily Klatte (ORCID: https://orcid.org/0009-0009-5157-4147)
- Justin Martello
Institutions
- University of Maryland, Baltimore (US)
- OhioHealth (US)
- University of Maryland Medical Center (US)
- Harvard University (US)
- Thomas Jefferson University (US)
- Cornell University (US)
- RED Consulting (Norway) (NO)
Publication Details
- Journal
- Neurology Clinical Practice
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1212/cpj.0000000000200518
- Primary Topic
- Health Systems, Economic Evaluations, Quality of Life
- Type
- article
- Field-Weighted Citation Impact
- 0.00