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Application of Next Generation Quality/Statistical Process Control and Expert-Led Case Review to Increase the
Michael Bonert1, Andrew Collins, Ted Xenodemetropoulos
1Departments of Pathology and Molecular Medicine (Drs Bonert, Dmetrichuk, Al-Haddad, and Naqvi), Medicine (Dr Collins), and Oncology (Dr Major), McMaster University, Hamilton, Ontario, Canada; St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada (Drs Bonert and Naqvi); Farncombe Family Digestive Health Research Institute/Division of Gastroenterology, Department of Medicine, McMaster University, Hamilton, Ontario, Canada (Dr Xenodemetropoulos); and Juravinski Hospital/Hamilton Health Sciences Centre/Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada (Ms Al-Haddad and Dr Major).
Background:
Prior work suggests high interrater variability in the pathologist diagnostic rate (PDR) of the precancerous polyp sessile serrated adenoma (SSA).
Objectives:
To improve the diagnostic consistency in the pathological evaluation of colorectal polyp specimens with diagnostic rate awareness, using funnel plots (FPs)/control charts (CCs), and a focused group case review.
Methods:
All colorectal polyp specimen (CRPS) reports September 2015 to August 2017 were analyzed at one institution. PDRs were extracted using a hierarchical free-text string matching algorithm and visualized using FPs, showing pathologist specimen volume versus PDR, and CCs, showing pathologist versus normed PDR. The FPs/CCs were centered on the group median diagnostic rate (GMDR). Pathologists were shown their baseline SSA diagnostic rate in relation to the practice, and in January 2017, there was a focused group case review/open discussion of approximately 40 sequential cases signed as SSA with a gastrointestinal pathology expert.
Results:
Nine pathologists interpreted more than 250 CRPSs per year. FPs/CCs for the first and second years showed 6/4 and 3/1 P < .05/P < .001 pathologist outliers, respectively, in relation to the GMDR for SSA and 0/0 and 0/0 P < .05/P < .001 pathologist outliers, respectively, in relation to the GMDR for tubular adenoma (TA). An in silico kappa (ISK) for SSA improved from 0.52 to 0.62.
Conclusion:
Diagnostic rate awareness facilitated by FPs/CCs coupled with focused expert-led reviews may help calibrate PDR. Variation in SSA PDRs still remains high in relation to TA. ISK represents an intuitive, useful metric and Next Generation Quality/Statistical Process Control a promising approach for objectively increasing diagnostic consistency.
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