Stratified disproportionality analyses

The “Disproportionality” tab allows you to explore how disproportionality values vary across different subsets of reports.

To access stratified analyses:

• Open the “Disproportionality” tab.

• Locate the stratified analysis section.

• Expand the rows of interest.

Results can be displayed as either tables or graphs.

In the graphs, credibility intervals are shownas whiskers that indicate the uncertainty around each disproportionality value.

Available stratifications

Time Review cumulative disproportionality values over time. This can help identify changes in reporting patterns and determine whether reporting has increased, decreased or remained stable.

Patient age Review disproportionality values across patient age groups. This can help identify differences in reporting patterns between age groups.

Patient sex Review disproportionality values by patient sex.‌ This can help identify sex-specific reporting patterns.

Country Review disproportionality values for individual reporting countries. This can help identify geographical differences in reporting.

Reporter qualification Review disproportionality values for individual reporter qualifications. This can help identify differences in reporting patterns among, for example, patients.

Interpreting the results

Differences between stratified analyses may reflect differences in:

• Exposure

• Reporting behaviour

• Patient populations, healthcare systems and clinical practice

• Local reporting or coding practices

Stratified disproportionality analyses should be interpreted together with qualitative review of the underlying reports.