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Master of Public Health

An algorithm developed using the Brighton Collaboration case definitions is more efficient for determining diagnostic certainty.

AUTHORS

Joshi D , Alsentzer E , Edwards K , Norton A , Williams SE , . Vaccine. 2014 6 12; 32(28). 3469-72

ABSTRACT

The Brighton Collaboration is a global research network focused on vaccine safety. The Collaboration has created case definitions to determine diagnostic certainty for several adverse events. Currently nested within multi-page publications, these definitions can be cumbersome for use. We report the results of a randomized trial in which the case definition for anaphylaxis was converted into a user-friendly algorithm and compared the algorithm with the standard case definition. The primary outcomes were efficiency and accuracy. Forty medical students determined the Brighton Level of diagnostic certainty of a sample case of anaphylaxis using either the algorithm or the original case definition. Most participants in both groups selected the correct Brighton Level. Participants using the algorithm required significantly less time to review the case and determine the level of diagnostic certainty [mean difference=107 s (95% CI: 13-200; p=0.026)], supporting that the algorithm was more efficient without impacting accuracy.

The Brighton Collaboration is a global research network focused on vaccine safety. The Collaboration has created case definitions to determine diagnostic certainty for several adverse events. Currently nested within multi-page publications, these definitions can be cumbersome for use. We report the results of a randomized trial in which the case definition for anaphylaxis was converted into a user-friendly algorithm and compared the algorithm with the standard case definition. The primary outcomes were efficiency and accuracy. Forty medical students determined the Brighton Level of diagnostic certainty of a sample case of anaphylaxis using either the algorithm or the original case definition. Most participants in both groups selected the correct Brighton Level. Participants using the algorithm required significantly less time to review the case and determine the level of diagnostic certainty [mean difference=107 s (95% CI: 13-200; p=0.026)], supporting that the algorithm was more efficient without impacting accuracy.

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