NCRM Introduction Hospital Episode Statistics - OnlineInfo Location Additional Items Contact More Info Course Information This online 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:
By the end of the course participants will:
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. Course CodeNCRMIHS Course LeaderDr Ania Zylbersztejn, Dr Kate Lewis, Dr Ofran Almossawi and Dr Matt Jay
Location
Additional Items
Contact InformationJacqui Thorp Additional InformationProgramme (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 | |||||||||||||||||