Connected Yorkshire: A Data-linkage Study of Pre-hospital, Emergency Department and Out of Hours Service Data

Analysing Emergency and Urgent Care System Demand in Yorkshire and Humber: A Data-linkage Study of Pre-hospital, Emergency Department and Out of Hours Service Data

There is increased demand on emergency departments (ED) across the UK. The services are becoming stretched and as a result waiting times are increasing and patient care is suffering.

By linking together patient data from different hospitals and services across Yorkshire, researchers are able to build a more complete picture of how emergency and urgent care (UEC) services in the region function.

This picture will help researchers understand the flow of patients through EUC services, to understand what the most common health issues are and to better plan community services in the future. The anonymous data can help scientists understand EUC services across an entire region and suggest improvements in a much more synchronised way.

Health service managers will also be able to understand how one ED in Yorkshire compares to another. By re-using existing data researchers will also allow hospitals to learn lessons from each other so that each local service can improve and deliver better care for its patients.

In the future, this information will help researchers to plan ahead and forecast disease outbreaks. The data used will, over time, tell a story that will help deliver better and more targeted care.

The aim of the research project is to build a unique dataset based on expertise already being developed across the Yorkshire and Humber region. We will collect routine NHS data from a number of providers of EUC and link the data to provide a coherent picture of EUC demand. This rich data source will allow the EUC services to be viewed as a whole system, enabling demand on the system by patients to be analysed as well as the flow of patients through the system.

Study Overview

• Status: Unknown
• Conditions: Emergency and Urgent Care Pathways
• Intervention / Treatment: Other: No intervention - data collection only

• Study Type: Observational
• Enrollment (Anticipated): 7500000

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Child; Adult; Older Adult
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Any person who has accessed an urgent and emergency care service in Yorkshire and the Humber region between 2011 and 2017

Description

Inclusion Criteria:

• access urgent and emergency care services in Yorkshire and the Humber region between 2011 and 2017

Exclusion Criteria:

• None

Study Plan

How is the study designed?

Design Details

• Observational Models: Other
• Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
NHS111	Number of people accessing NHS111 and transferred to the emergency department by the Yorkshire Ambulance Service, stratisfied by age, gender, presenting complaint, location	2011-2017

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
YAS	Number of people accessing the Yorkshire Ambulance Service and transferred to the emergency department, stratisfied by age, gender, presenting complaint, location	2011-2017
Direct ED	Number of people accessing the emergency department (directly), stratisfied by age, gender, presenting complaint, location	2011-2017

Other Outcome Measures

Outcome Measure	Measure Description	Time Frame
Mapping of UEC service use	Using the linked data, map how the UEC service is used by patients. How far people will travel to attend the ED; Where are people travelling from (home, etc), the flow through each of the services throughout the time period covered (annually, monthly, daily, hourly), etc	2011-2017

Collaborators and Investigators

• Sponsor: University of Sheffield
• Collaborators: Northern Health Science Alliance (NHSA)

Study record dates

Study Major Dates

• Study Start (Actual): January 1, 2017
• Primary Completion (Anticipated): December 31, 2019
• Study Completion: December 6, 2022

Study Registration Dates

• First Submitted: March 15, 2018
• First Submitted That Met QC Criteria: March 27, 2018
• First Posted (Actual): March 29, 2018

Study Record Updates

• Last Update Posted (Actual): March 4, 2019
• Last Update Submitted That Met QC Criteria: February 28, 2019
• Last Verified: February 1, 2019

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Pathologic Processes; Disease Attributes; Emergencies
• Other Study ID Numbers: USheffield

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: Yes
• IPD Plan Description: The study is now a Research Database and researchers can obtain data extracts, on application, for use in research aligned with the CHC study focus.
• IPD Sharing Time Frame: 2019
• IPD Sharing Access Criteria: Contact Maxine Kuczawski for details
• IPD Sharing Supporting Information Type: Study Protocol

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No
• product manufactured in and exported from the U.S.: No