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PD85 Testing Search Filters To Retrieve Economic Evaluations In Embase

Published online by Cambridge University Press:  03 January 2019

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Abstract

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Introduction:

Health technology assessments (HTAs) are increasingly used by Norwegian health authorities as the evidence base when prioritizing which health care services to offer. HTAs typically consist of a systematic review of the effects and safety of two or more health care interventions, and an economic evaluation of the interventions, based on systematic literature searches in bibliographic databases. Objective: To identify the best performing of seven search filters to retrieve health economic evaluations used to inform HTAs, by comparing the cost-effectiveness analysis (CEA) filter to six published filters in Ovid Embase, and achieve a sensitivity of at least 0.90 with a precision of 0.10, and specificity of at least 0.95.

Methods:

In this filter validation study, the included filters’ performances were compared against a gold standard of economic evaluations published in 2008–2013 (n = 2,248) from the National Health Service Economic Evaluation Database (NHS EED), and the corresponding records (n = 2,198) in the current version of Ovid Embase.

Results:

The CEA filter had a sensitivity of 0.899 and precision of 0.029. One filter had a sensitivity of 0.880 and a precision of 0.075, which was closest to the objective. The filter with lowest sensitivity (0.702) had a precision of 0.141.

Conclusions:

Developing search filters for identifying health economic evaluations, with a good balance between sensitivity and precision, is possible but challenging. Researchers should agree on acceptable levels of performance before concluding on which search filter to use.

Type
Poster Display Presentations
Copyright
Copyright © Cambridge University Press 2018