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. 2019 Feb;8(2):850-859.
doi: 10.1002/cam4.1925. Epub 2019 Jan 4.

Do doctors who order more routine medical tests diagnose more cancers? A population-based study from Ontario Canada

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Do doctors who order more routine medical tests diagnose more cancers? A population-based study from Ontario Canada

Stephen F Hall et al. Cancer Med. 2019 Feb.

Abstract

Background: The overuse of medical tests leads to higher costs, wasting of resources, and the potential for overdiagnosis of disease. This study was designed to determine whether the patients of family doctors who order more routine medical tests are diagnosed with more cancers.

Method: A retrospective population-based cross-sectional study using administrative health care data in Ontario Canada. We investigated the ordering of 23 routine laboratories and imaging tests 2008-20012 by 6849 Ontario family physicians on their 4.9 million rostered adult patients. We compared physicians' test utilization and calculated case-mix adjusted observed to expected (O:E) utilization ratios to categorize physicians as Typical, Higher or Lower testers. Age-sex standardized rates (cases/10 000 patient years) and Rate Ratios were determined for cancers of the thyroid, prostate, breast, lymphoma, kidney, melanoma, uterus, ovary, lung, esophagus, and pancreas for each tester group.

Results: There was wide variation in the use of the 23 tests by Ontario physicians. 26% and 24% of physicians were deemed Higher Testers for laboratory and imaging tests, while 41% and 38% were Typical Testers. The patients of higher test users were diagnosed with more cancers of thyroid (laboratory [RR 1.61, 95% CI 1.39-1.87] and imaging [RR 2.08, 95% CI 0.88-2.30]) and prostate (laboratory [RR 1.10, 95% CI 1.03-1.18] and imaging [RR 1.05, 95% CI 1.00-1.10]).

Conclusion: There is a wide variation in the ordering of routine and common medical tests among Ontario family doctors. The patients of higher testers were diagnosed with more thyroid and prostate cancers.

Keywords: cancer overdiagnosis; imaging tests; laboratory tests; overuse; population-based.

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Figures

Figure 1
Figure 1
Flowchart of study population
Figure 2
Figure 2
The distributions of the UPC test users based on O/E ratios for both imaging and laboratory tests
Figure 3
Figure 3
The age/sex standardized rates (cases/10 000 patient years) for the UPC laboratory and imaging tester groups. The horizontal line is the overall cancer rate for the study population
Figure 4
Figure 4
The Rate Ratios (RRs) for cancer risk (adjusted for patient age, patient sex, patient comorbidity, UPC age, UPC sex). Typical testers are the control group in the regression model

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