Echoing Dr. Phillips’ comment, more information would be helpful. But in general, a mixed-methods analysis starts by defining what exactly you’re evaluating— a specific intervention, service model, outcome, etc. From there, you’d collect your quantitative data (like service usage or health outcomes) and qualitative data (interviews or open-ended feedback) to get a fuller picture.
The key is integrating both sets of findings to draw insights that numbers or narratives alone wouldn’t provide. If your focus is more on health/ clinical outcomes, you could use the appropriate standardized metrics. If it’s social care (case management, housing support, etc.), qualitative insights may take the lead, with the quantitative data as support. The tricky part with mixed-methods is distinguishing which data is important to support the findings, and which data is distracting “fluff”.
It is much easier to conduct such an appropriate analysis, if there exists in a given country sufficient cooperation by principles and methods in a real administrative relation between health and social care (meaning intersectoral cooperation).