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find Keyword "Carba NP test" 1 results
  • Health economics assessment of five methods for detection of carbapenemase-producing Enterobacteriaceae

    ObjectiveTo analyze the cost and performance of five methods for detection of carbapenemase-producing Enterobacteriaceae (CPE), including PCR (method A), Carba NP test (method B), ultraviolet spectrophotometry (method C), modified carbapenem inactivation method (mCIM, method D), and loop-mediated isothermal amplification (LAMP, method E).MethodsPubMed, EMbase, The Cochrane Library, CNKI, WanFang Data and CBM databases were searched using the computer regarding literature on detection of CPE with the same or similar designs, same objectives, and independent results. The search was limited between May 2009 and May 2019. Data on the cost and detection performance of all five methods were extracted, and the four special indexes for laboratory tests, such as sensitivity, specificity, simplicity, and rapidity in the utility were quantified as specific values; subsequently, the cost-effective analysis (CEA), cost-utility analysis (CUA), and multi-attribute utility theory (MAUT) in the detection economic analysis were used to conduct health economics evaluation of five detection methods for CPE.ResultsThe cost of methods A, B, C, D and E were 210.00 yuan, 22.00 yuan, 10.50 yuan, 6.00 yuan, and 60.00 yuan, respectively. The C/E of CEA for the above five methods were 210.00, 22.96, 10.66, 6.14, and 60.00, respectively. The C/U of CUA for the above five methods were 302.16, 32.13, 19.30, 11.13, and 80.00, respectively. The MAUT value of the above five methods were 42.56, 5.00, 2.54, 1.63, and 12.56, respectively.ConclusionIn terms of CEA, CUA, and MAUT, the method D was the highest in economic value, which usually can be used as a routine method for detecting CPE, but it needs a long procedure time; thus, the method E can be used for rapid detection when clinical severe infection occurred, which is superior in both cost-effectiveness and rapidity.

    Release date:2020-03-13 01:50 Export PDF Favorites Scan
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