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      The Landscape of Inappropriate Laboratory Testing: A 15-Year Meta-Analysis

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          Abstract

          Background

          Laboratory testing is the single highest-volume medical activity and drives clinical decision-making across medicine. However, the overall landscape of inappropriate testing, which is thought to be dominated by repeat testing, is unclear. Systematic differences in initial vs. repeat testing, measurement criteria, and other factors would suggest new priorities for improving laboratory testing.

          Methods

          A multi-database systematic review was performed on published studies from 1997–2012 using strict inclusion and exclusion criteria. Over- vs. underutilization, initial vs. repeat testing, low- vs. high-volume testing, subjective vs. objective appropriateness criteria, and restrictive vs. permissive appropriateness criteria, among other factors, were assessed.

          Results

          Overall mean rates of over- and underutilization were 20.6% (95% CI 16.2–24.9%) and 44.8% (95% CI 33.8–55.8%). Overutilization during initial testing (43.9%; 95% CI 35.4–52.5%) was six times higher than during repeat testing (7.4%; 95% CI 2.5–12.3%; P for stratum difference <0.001). Overutilization of low-volume tests (32.2%; 95% CI 25.0–39.4%) was three times that of high-volume tests (10.2%; 95% CI 2.6–17.7%; P<0.001). Overutilization measured according to restrictive criteria (44.2%; 95% CI 36.8–51.6%) was three times higher than for permissive criteria (12.0%; 95% CI 8.0–16.0%; P<0.001). Overutilization measured using subjective criteria (29.0%; 95% CI 21.9–36.1%) was nearly twice as high as for objective criteria (16.1%; 95% CI 11.0–21.2%; P = 0.004). Together, these factors explained over half (54%) of the overall variability in overutilization. There were no statistically significant differences between studies from the United States vs. elsewhere ( P = 0.38) or among chemistry, hematology, microbiology, and molecular tests ( P = 0.05–0.65) and no robust statistically significant trends over time.

          Conclusions

          The landscape of overutilization varies systematically by clinical setting (initial vs. repeat), test volume, and measurement criteria. Underutilization is also widespread, but understudied. Expanding the current focus on reducing repeat testing to include ordering the right test during initial evaluation may lead to fewer errors and better care.

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          Most cited references67

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          Missed and delayed diagnoses in the ambulatory setting: a study of closed malpractice claims.

          Although missed and delayed diagnoses have become an important patient safety concern, they remain largely unstudied, especially in the outpatient setting. To develop a framework for investigating missed and delayed diagnoses, advance understanding of their causes, and identify opportunities for prevention. Retrospective review of 307 closed malpractice claims in which patients alleged a missed or delayed diagnosis in the ambulatory setting. 4 malpractice insurance companies. Diagnostic errors associated with adverse outcomes for patients, process breakdowns, and contributing factors. A total of 181 claims (59%) involved diagnostic errors that harmed patients. Fifty-nine percent (106 of 181) of these errors were associated with serious harm, and 30% (55 of 181) resulted in death. For 59% (106 of 181) of the errors, cancer was the diagnosis involved, chiefly breast (44 claims [24%]) and colorectal (13 claims [7%]) cancer. The most common breakdowns in the diagnostic process were failure to order an appropriate diagnostic test (100 of 181 [55%]), failure to create a proper follow-up plan (81 of 181 [45%]), failure to obtain an adequate history or perform an adequate physical examination (76 of 181 [42%]), and incorrect interpretation of diagnostic tests (67 of 181 [37%]). The leading factors that contributed to the errors were failures in judgment (143 of 181 [79%]), vigilance or memory (106 of 181 [59%]), knowledge (86 of 181 [48%]), patient-related factors (84 of 181 [46%]), and handoffs (36 of 181 [20%]). The median number of process breakdowns and contributing factors per error was 3 for both (interquartile range, 2 to 4). Reviewers were not blinded to the litigation outcomes, and the reliability of the error determination was moderate. Diagnostic errors that harm patients are typically the result of multiple breakdowns and individual and system factors. Awareness of the most common types of breakdowns and factors could help efforts to identify and prioritize strategies to prevent diagnostic errors.
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            Missed and delayed diagnoses in the emergency department: a study of closed malpractice claims from 4 liability insurers.

            Diagnostic errors in the emergency department (ED) are an important patient safety concern, but little is known about their cause. We identify types and causes of missed or delayed diagnoses in the ED. This is a review of 122 closed malpractice claims from 4 liability insurers in which patients had alleged a missed or delayed diagnosis in the ED. Trained physician reviewers examined the litigation files and the associated medical records to determine whether an adverse outcome because of a missed diagnosis had occurred, what breakdowns were involved in the missed diagnosis, and what factors contributed to it. Main outcome measures were missed diagnoses, process breakdowns, and contributing factors. A total of 79 claims (65%) involved missed ED diagnoses that harmed patients. Forty-eight percent of these missed diagnoses were associated with serious harm, and 39% resulted in death. The leading breakdowns in the diagnostic process were failure to order an appropriate diagnostic test (58% of errors), failure to perform an adequate medical history or physical examination (42%), incorrect interpretation of a diagnostic test (37%), and failure to order an appropriate consultation (33%). The leading contributing factors to the missed diagnoses were cognitive factors (96%), patient-related factors (34%), lack of appropriate supervision (30%), inadequate handoffs (24%), and excessive workload (23%). The median numbers of process breakdowns and contributing factors per missed diagnosis were 2 and 3, respectively. Missed diagnoses in the ED have a complex cause. They are typically the result of multiple breakdowns in the diagnostic process and several contributing factors.
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              National costs of the medical liability system.

              Concerns about reducing the rate of growth of health expenditures have reignited interest in medical liability reforms and their potential to save money by reducing the practice of defensive medicine. It is not easy to estimate the costs of the medical liability system, however. This article identifies the various components of liability system costs, generates national estimates for each component, and discusses the level of evidence available to support the estimates. Overall annual medical liability system costs, including defensive medicine, are estimated to be $55.6 billion in 2008 dollars, or 2.4 percent of total health care spending.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                15 November 2013
                : 8
                : 11
                : e78962
                Affiliations
                [1 ]Harvard Medical School, Boston, Massachusetts, United States of America
                [2 ]Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
                [3 ]Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America
                [4 ]Division of General Medicine and Primary Care, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
                [5 ]Countway Library of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America
                [6 ]Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
                [7 ]Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
                Gentofte University Hospital, Denmark
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: RA MZ. Performed the experiments: RA MZ JT ED JW. Analyzed the data: RA MZ JT ED. Contributed reagents/materials/analysis tools: RA JT ED JW MZ. Wrote the paper: RA MZ.

                Article
                PONE-D-13-31925
                10.1371/journal.pone.0078962
                3829815
                24260139
                e3e6a5d9-1c85-4e87-a0df-bcdccc6343ed
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 5 August 2013
                : 17 September 2013
                Page count
                Pages: 8
                Funding
                The authors have no support or funding to report.
                Categories
                Research Article

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