Abstract
This work sought to quantify pathologists’ diagnostic bias over time in their evaluation of colorectal polyps to assess how this may impact the utility of statistical process control (SPC). All colorectal polyp specimens(CRPS) for 2011–2017 in a region were categorized using a validated free text string matching algorithm. Pathologist diagnostic rates (PDRs) for high grade dysplasia (HGD), tubular adenoma (TA_ad), villous morphology (TVA + VA), sessile serrated adenoma (SSA) and hyperplastic polyp (HP), were assessed (1) for each pathologist in yearly intervals with control charts (CCs), and (2) with a generalized linear model (GLM). The study included 64,115 CRPS. Fifteen pathologists each interpreted > 150 CRPS/year in all years and together diagnosed 38,813. The number of pathologists (of 15) with zero or one (p < 0.05) outlier in seven years, compared to their overall PDR, was 13, 9, 9, 5 and 9 for HGD, TVA + VA, TA_ad, HP and SSA respectively. The GLM confirmed, for the subset where pathologists/endoscopists saw > 600 CRPS each(total 52,760 CRPS), that pathologist, endoscopist, anatomical location and year were all strongly correlated (all p < 0.0001) with the diagnosis. The moderate PDR stability over time supports the hypothesis that diagnostic rates are amendable to calibration via SPC and outcome data.
Highlights
This work sought to quantify pathologists’ diagnostic bias over time in their evaluation of colorectal polyps to assess how this may impact the utility of statistical process control (SPC)
If diagnostic variation is explained by consistent bias among healthcare providers, it should be amendable to an intervention that, reduces variation and, with calibration, may be used to more appropriately stratify patients and improve outcomes
The 68 cases were examined in detail and it was determined that 37 had unusual report formatting, 24 had a mislabelled part (e.g. “Part D” transcribed as “Part P”), 7 had missing specimen parts (e.g. requisition has Parts A-C, diagnosis sections has Part A-B (Part C is absent))
Summary
This work sought to quantify pathologists’ diagnostic bias over time in their evaluation of colorectal polyps to assess how this may impact the utility of statistical process control (SPC). The moderate PDR stability over time supports the hypothesis that diagnostic rates are amendable to calibration via SPC and outcome data. From the perspective of manufacturing industries (where defect rates are commonly measured in parts per thousand or parts per million), significant disagreements/errors in pathology (that change the management) are common[2]. Such high error rates are often rationalized by the inherently imprecise nature of histomorphology and the innate difficulty in achieving high levels of precision within a complex system such as the human body. If diagnostic variation is explained by consistent bias among healthcare providers (as opposed to large swings in the diagnostic rates/diagnostic instability), it should be amendable to an intervention that (deconstructs the diagnostic process), reduces variation and, with calibration (including pathologist rate awareness), may be used to more appropriately stratify patients and improve outcomes
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