Introduction to Hospital Episode Statistics - Online (join a waiting list)
Date:
11/05/2023 - 12/05/2023
Organised by:
NCRM, University of Southampton
Presenter:
Dr Linda Wijlaars, Dr Ania Zylbersztejn and Dr Pia Hardelid
Level:
Entry (no or almost no prior knowledge)
Contact:
Jacqui Thorp
Training and Capacity Building Coordinator
National Centre for Research Methods, University of Southampton
Email: jmh6@soton.ac.uk
Venue: Online
Description:
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, how inconsistencies arise, and approaches to deal with these. Participants will also learn how to ensure individuals’ anonymity and confidentiality when carrying out analyses and publishing results based on HES. The course consists of a mixture of lectures and practicals for which participants will use Stata software to clean and analyse HES data.
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
- know how to carry out basic cleaning, management and analysis tasks using HES data
- know how to ensure anonymity and confidentiality when using HES
The course is for researchers and data analysts in academia, government and private sector at all levels who are using or planning to use HES for their work.
There are no pre-requisites for the lectures. Computer practicals will involve analysis of simulated data therefore previous experience of programming in Stata, R or SAS will be helpful. Instructions for how to set up data in Stata and Stata code with solutions to all practicals will be provided to all participants.
Timings
Thursday 11 May 10am – 4pm
Friday 12 May 10am – 3:30pm
Cost:
The fee per teaching day is: • £30 per day for students registered at UK/EU University. • £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions. • £100 per day for all other participants In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration:
Region:
South West
Keywords:
Longitudinal Data Analysis, Data Management , Hospital Episode Statistics, Hospital Data, Administrative Data, Routinely Collected Data, Health Data Science
Related publications and presentations: