How Frequently Should Workplace Spirometry Screening Be Performed? Optimization via Analytic Models
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2009/10/01
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Description:Background: Our objective was to determine how to select the optimal frequency of workplace spirometry screening using diacetyl-exposed workers as an example. Methods: A Markov model was constructed to assess the likelihood of progressing from healthy status to early or advanced disease, starting from four different exposure levels, and performing longitudinal or cross-sectional interpretation of spirometry results over time. Projected outcomes at 10 years were evaluated to inform the optimal frequency of workplace spirometry testing. Results: The optimal screening interval depends on the population risk and is highly sensitive to the real-life impact (utility) associated with false-positive results (eg, related to the availability of alternative work). Screening interval is particularly important for high-risk individuals with rapid transition from early to advanced disease, where the 10-year prevalence of advanced disease would be reduced from 5.3 to 2.5% using a 6-month interval rather than a 12-month interval. Longitudinal test interpretation, based on observing trends within each person over time, is marginally preferable to traditional cross-sectional spirometry interpretation. Conclusions: There is no single best screening interval. For high-risk populations, annual testing may be too infrequent. [Description provided by NIOSH]
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ISSN:0012-3692
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Volume:136
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Issue:4
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NIOSHTIC Number:nn:20058491
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Citation:Chest 2009 Oct; 136(4):1086-1094
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Contact Point Address:Philip Harber, MD, MPH, FCCP, UCLA Occupational Medicine, 10880 Wilshire Blvd, No. 1800, Los Angeles, CA 90024
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Email:pharber@mednet.ucla.edu
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CAS Registry Number:
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Federal Fiscal Year:2010
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Performing Organization:University of California Los Angeles
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Peer Reviewed:True
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Start Date:20050701
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Source Full Name:Chest
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End Date:20270630
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Main Document Checksum:urn:sha-512:7ab6b7f056f1d9ddb8e29e41a35822c2458404e531e68497f84ed45db6f9b46df6bd393b6697f25acb3e7231114cf68c06b5fcbdc2a573a3be30e4fcd64ec051
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