Non-arrivals to scheduled ambulatory visits are common and lead to a discontinuity of care, poor health outcomes, and increased subsequent healthcare utilization. Reducing non-arrivals is important given their association with poorer health outcomes and cost to health systems. To develop and validate a prediction model for ambulatory non-arrivals. Patients at an integrated health system who had an outpatient visit scheduled from January 1, 2020, to February 28, 2022. There were over 4.3 million ambulatory appointments from 1.2 million adult patients.

In my last post I looked at generating synthetic data sets with the'synthpop' package, some of the challenges and neat things the package can do. It is simple to use which is great when you have a single data set with independent features. This post will build on the last post by tackling other complications when attempting to synthesise data. These challenges occur regularly in practice and this post will offer a couple of solutions, but there are plenty more. I'll detail how more complex synthesis can be done using synthpop.