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The University of Southampton
Southampton Statistical Sciences Research Institute

Introduction to Hospital Episode Statistics - 2018

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.

Target Audience
Researchers at all levels in academia, government and private sector at all levels who are using/planning to use Hospital Episode Statistics in their work.

Pre-requisites
Participants will write and execute programmes in Stata during the practical sessions. Previous experience of programming in Stata, R or SAS will therefore be helpful, but Stata code and instructions will be provided to all participants. There are no pre-requisites for the lectures.

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 Code ADRCE-Training051 Hardelid
Course Dates 5th March 2018 – 6th March 2018
Places Available 22
Course Leader Dr Pia Hardelid


Course Description
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

By the end of the course participants will:

  • understand how and why HES data are collected
  • become aware of the strength and weaknesses of using HES data for research
  • learn how to carry out basic cleaning, management and analysis tasks using HES data
  • learn how to ensure anonymity and confidentiality when using HES

Supplementary Items
 

Fees
£30 - For UK registered postgraduate students
£60.00


Fees
£60 - For staff at UK academic institutions, Research Council UK funded researchers, UK public sector staff and staff at UK registered charity organisations
£120.00

Fees
£220 - For all other participants
£440.00

Fees
Free place for ADRC/ADRN/ADS staff
£0.00

Location
Southampton Statistical Sciences Research Institute


Venue Details
Southampton Statistical Sciences Research Institute
Building 39
University of Southampton
Southampton
SO17 1BJ


Additional Information
Maps and travel information are available from the University of Southampton Travel Page (http://www.southampton.ac.uk/visitus/campuses/highfield.html). This also includes a map of the Highfield Campus (http://www.southampton.ac.uk/visitus/campuses/maps/highfield_3d_key.pdf)  Building 39 is at the end of Salisbury Road edging onto Southampton Common.

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