Introduction to Hospital Episode Statistics
This course will provide participants with an understanding of how Hospital Episode Statistics (HES) data are collected and coded, their structure, and how to clean and analyse HES data. A key focus will be on developing an understanding of the strengths and weaknesses of HES data, how inconsistencies arise, and approaches to deal with these. Participants will also learn how to ensure individuals’ anonymity and confidentiality when analysing and publishing using HES. The course consists of a mixture of lectures and practicals for which participants will use Stata software to clean and analyse HES data.
Further course details can be found here.
More information regarding our courses can be found here.
Podcast for some of our previous courses can be found here.
Course Leader: Dr Pia Hardelid
Course Contents:
The course covers:
- HES data collection and coding
- HES data structure
- How to clean and manage HES data
- How to ensure anonymity and confidentiality
- How to carry out basic analyses using HES data
- Sources of variation in HES data
- How to apply for HES data
Learning Outcomes:
By the end of the course participants will:
- To understand how and why HES data are collected
- To become aware of the strength and weaknesses of using HES data for research
- To learn how to carry out basic cleaning, management and analysis tasks using HES data
- To learn how to ensure anonymity and confidentiality when using HES
This is a computer lab based course.