Quantitative and qualitative evidence used together create a more robust sex- and gender-based analysis. Population level evidence (usually quantitative) can help us see the big picture and provide context for a local issue or situation. Local quantitative studies can provide deeper information that is specific to an issue and can often be used for comparison.
Smaller, qualitative studies and community reports can provide evidence that describes how and why some women and some men respond to certain events and situations.
Example: Consider an example of access to health services
A diabetes foot treatment clinic does not seem to be receiving as many local clients as expected. We want to know why. Our evidence about why the diabetes foot clinic is not being used much may be available in many forms.
We might find quantitative information about how many women and men in the population have diabetes, what ages they are, where they live in relation to our foot clinic, where they receive care and for how long.
We might find qualitative information about how easy or difficult it is for men and women to get to the clinic, whether they feel respected and well treated there, and whether they feel their diabetes is really a problem in their lives.
Taken together, the two kinds of evidence can provide us with a good understanding of who, what, where and why, and perhaps provide some clues about what to do next. Sex and gender-based analysis uses all the evidence available from different sources to try to get a complete picture. Putting the evidence pieces together can help us to decide why clients are not finding or choosing the diabetes foot clinic and how outreach can be improved.