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Itri JN, Bakow E, Probyn L, Kadom N, Duong PAT, Gettle LM, Mendiratta-Lala M, Scali EP, Winokur RS, Zygmont ME, Kung JW, Rosenkrantz AB. The Science of Quality Improvement. Acad Radiol 2017; 24:253-262. [PMID: 28193375 DOI: 10.1016/j.acra.2016.05.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 05/04/2016] [Accepted: 05/05/2016] [Indexed: 02/04/2023]
Abstract
Scientific rigor should be consistently applied to quality improvement (QI) research to ensure that healthcare interventions improve quality and patient safety before widespread implementation. This article provides an overview of the various study designs that can be used for QI research depending on the stage of investigation, scope of the QI intervention, constraints on the researchers and intervention being studied, and evidence needed to support widespread implementation. The most commonly used designs in QI studies are quasi-experimental designs. Randomized controlled trials and cluster randomized trials are typically reserved for large-scale research projects evaluating the effectiveness of QI interventions that may be implemented broadly, have more than a minimal impact on patients, or are costly. Systematic reviews of QI studies will play an important role in providing overviews of evidence supporting particular QI interventions or methods of achieving change. We also review the general requirements for developing quality measures for reimbursement, public reporting, and pay-for-performance initiatives. A critical part of the testing process for quality measures includes assessment of feasibility, reliability, validity, and unintended consequences. Finally, publication and critical appraisal of QI work is discussed as an essential component to generating evidence supporting QI initiatives in radiology.
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Affiliation(s)
- Jason N Itri
- Department of Radiology, University of Virginia, 1215 Lee Street, Box 800170, Charlottesville, CA 22908.
| | - Eric Bakow
- UPMC Health Plan, Pittsburgh, Pennsylvania
| | - Linda Probyn
- Sunnybrook Health Sciences Centre, Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Nadja Kadom
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia
| | | | - Lori Mankowski Gettle
- Division of Abdominal Imaging and Intervention, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Mishal Mendiratta-Lala
- Abdominal and Cross-sectional Interventional Radiology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Elena P Scali
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ronald S Winokur
- Department of Radiology, Division of Interventional Radiology, Weill Cornell Medicine/New York Presbyterian Hospital, New York, New York
| | - Matthew E Zygmont
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Justin W Kung
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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Review of Research Reporting Guidelines for Radiology Researchers. Acad Radiol 2016; 23:537-58. [PMID: 26928069 DOI: 10.1016/j.acra.2016.01.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2015] [Revised: 01/08/2016] [Accepted: 01/09/2016] [Indexed: 12/11/2022]
Abstract
Prior articles have reviewed reporting guidelines and study evaluation tools for clinical research. However, only some of the many available accepted reporting guidelines at the Enhancing the QUAlity and Transparency Of health Research Network have been discussed in previous reports. In this paper, we review the key Enhancing the QUAlity and Transparency Of health Research reporting guidelines that have not been previously discussed. The study types include diagnostic and prognostic studies, reliability and agreement studies, observational studies, analytical and descriptive, experimental studies, quality improvement studies, qualitative research, health informatics, systematic reviews and meta-analyses, economic evaluations, and mixed methods studies. There are also sections on study protocols, and statistical analyses and methods. In each section, there is a brief overview of the study type, and then the reporting guideline(s) that are most applicable to radiology researchers including radiologists involved in health services research are discussed.
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Rawson JV, Cronin P. Decision support: the super highway between health services research and change in clinical practice. Acad Radiol 2014; 21:1081-2. [PMID: 25107861 DOI: 10.1016/j.acra.2014.05.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2014] [Revised: 05/22/2014] [Accepted: 05/26/2014] [Indexed: 01/05/2023]
Affiliation(s)
- James V Rawson
- Department of Diagnostic, Therapeutic and Interventional Radiology, Medical College of Georgia, Georgia Regents University, 1120 15th St, Augusta, GA 30912.
| | - Paul Cronin
- Department of Radiology, Division of Cardiothoracic Radiology, University of Michigan Medical Center, Ann Arbor, MI
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