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

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT03482271
Recruitment Status : Active, not recruiting
First Posted : March 29, 2018
Last Update Posted : March 4, 2019
Northern Health Science Alliance (NHSA)
Information provided by (Responsible Party):
Professor Suzanne Mason, University of Sheffield

Brief Summary:

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.

Condition or disease Intervention/treatment
Emergency and Urgent Care Pathways Other: No intervention - data collection only

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Study Type : Observational
Estimated Enrollment : 7500000 participants
Observational Model: Other
Time Perspective: Retrospective
Official Title: 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
Actual Study Start Date : January 1, 2017
Estimated Primary Completion Date : December 31, 2019

Resource links provided by the National Library of Medicine

Intervention Details:
  • Other: No intervention - data collection only
    No intervention - data collection only

Primary Outcome Measures :
  1. NHS111 [ Time Frame: 2011-2017 ]
    Number of people accessing NHS111 and transferred to the emergency department by the Yorkshire Ambulance Service, stratisfied by age, gender, presenting complaint, location

Secondary Outcome Measures :
  1. YAS [ Time Frame: 2011-2017 ]
    Number of people accessing the Yorkshire Ambulance Service and transferred to the emergency department, stratisfied by age, gender, presenting complaint, location

  2. Direct ED [ Time Frame: 2011-2017 ]
    Number of people accessing the emergency department (directly), stratisfied by age, gender, presenting complaint, location

Other Outcome Measures:
  1. Mapping of UEC service use [ Time Frame: 2011-2017 ]
    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

Information from the National Library of Medicine

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Ages Eligible for Study:   Child, Adult, Older Adult
Sexes 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

Inclusion Criteria:

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

Exclusion Criteria:

  • None

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Responsible Party: Professor Suzanne Mason, Proessor of Emergency Medicine, University of Sheffield Identifier: NCT03482271    
Other Study ID Numbers: USheffield
First Posted: March 29, 2018    Key Record Dates
Last Update Posted: March 4, 2019
Last Verified: February 2019
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: Yes
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.
Supporting Materials: Study Protocol
Time Frame: 2019
Access Criteria: Contact Maxine Kuczawski for details

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Additional relevant MeSH terms:
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Disease Attributes
Pathologic Processes