Introduction to Hospital Episode Statistics - 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. 

 

Programme (TBC)

Day 1

9.55 – 10:00      Login

10:00 – 10:25    Welcome and introductions, learning objectives

10:25 – 10:45    Lecture 1a: What is HES and why are the data collected?

10:45 – 11:00    Exercise/discussion: how much does a hospital admission cost?

11:00 – 11:15    Lecture 1b: How are HES data collected?

11:15 – 11:30   Break

11:30 – 11:45    Exercise/discussion: is the quality of HES data ‘good enough’?

11:45 – 12:15    Lecture 2a: How are HES inpatient data structured?

12:15 – 13:15   Lunch

13:15 – 14:45    Practical part 1: HES data structure, linking episodes and admissions

14:45 – 15:00    Practical 1 Q&A

15:00 – 15:15   Break

15:15 – 15:30    Lecture 3: Why use HES for research?

15:30 – 15:45    Lecture 4: National Data Opt Out Programme

15:45 – 16:00    Questions

Day 2

9.55 – 10:00      Login

10:00 – 10:30    Lecture 5a: Coding in HES – diagnoses & procedures

10:30 – 10:45    Lecture 5b: Coding of providers, ethnicity and Healthcare Resource Groups

10:45 – 11:00    Break

11:00 – 12:30    Practical 2: Working with HES coding

12:30 – 13:30   Lunch

13:30 – 13:45    Practical 2 Q&A 

13:45 – 14:30    Lecture 6: Applying for access to HES data & disclosure control

14:30 – 15:00    Lecture 7: HES Accident and Emergency and Outpatient datasets 

15:00 – 15:15    Break

15.15 – 15.30    Lecture 8a: Linking HES to other databases

15.30 – 15:45    Lecture 8b: Introduction to ECHILD 

15:45 – 16:00    Summary, Evaluation Survey and Final Q&A

 

Cost:

The fee per teaching day is: £35 per day for registered students / £75 per day for staff at academic institutions, Research Councils researchers, public sector staff, staff at registered charity organisations and recognised research institutions / £250 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 the cancellation of a course. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

Register for this course

Region:

South East

Keywords:

Data Management , Quantitative Data Handling and Data Analysis, Longitudinal Data Analysis, Hospital Episode Statistics, Hospital Data, Administrative Data, Routinely Collected Data, Heath Data Science

Related publications and presentations from our eprints archive:

Data Management
Quantitative Data Handling and Data Analysis
Longitudinal Data Analysis

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