Roche RIS Feedback Portal

Customer wants to accurately report on positivity rates by patient sample in addition to individual tests, but can't today.

Customer wants to understand what the positivity rate is for a patient sample. For example if a HPV test is requested they would like to understand if that sample/patient is positive or negative.

This is particularly required for tests where labs measure multiple genotypes for the same assay e.g. HPV, Covid, Chlamydia etc.

HPV example:

50% of Patients tested positive for HPV in July - today we can't understand this from the positivity rate dashboard.

Why? - we report at the test-level only so a single patient can test positive for multiple genotypes HPV 16, HPV 18 and HPV 'other'. This means that manually calculating a sample-level positivity rate (e.g. for population health reporting) doesn't work and would be falsely elevated if the customer was to sum up the incidence of HPV16 + HPV 18 + HPV other (some patients may test positive for only 1 genotype, others may test positivity for 2 or 3 genotypes.

But why is it important to to understand positivity rates for 'patient's (samples) in addition to tests? - They are required to report nationally on a quarterly basis for disease surveillance/population health screening. They also need to be able to compare positivity rates with other hospitals using other methods (other methods may only report samples as positive/negative and don't do genotype, making comparisons impossible.

Suggested solution: to have a filter that you can switch between a test and sample view, with the bar charts/table updating accordingly. E.g. 3 patient samples each test positive for 3 genotypes. At the test level this would equate to 9 positive results (3 +ve's per sample). Switching to sample-level would indicate 3 positive results (not needing to take into account if the patients had multiple genotypes).