> For the complete documentation index, see [llms.txt](https://support.who-umc.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.who-umc.org/vigilyze/disproportionality-analysis/stratified-disproportionality-analyses.md).

# 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.

<figure><img src="https://844234868-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FD7MbxF2Gm1Bf1uqE3mOA%2Fuploads%2FQE3O7zF53Bee7WQEzW9W%2FDisproportionality%20over%20time.png?alt=media&amp;token=1880c61a-8924-487e-943f-7eae4e986e73" alt=""><figcaption></figcaption></figure>

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.&#x20;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

{% hint style="info" %}
Stratified disproportionality analyses should be interpreted together with qualitative review of the underlying reports.
{% endhint %}


---

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