Portsmouth CORE-D Routine Care Data Repository (CORE-D)

April 6, 2023 updated by: Portsmouth Hospitals NHS Trust

Portsmouth Clinical Outcomes REsearch Database (CORE-D)- a Research Database of Routine Electronically Recorded Patient Data to Model Adverse Clinical Outcomes and Healthcare Resource Usage

An integrated database of depersonalised routine hospital patient data consisting of demographic and disease attributes, physiological or laboratory measurements, care contacts and interventions along with associated clinical outcomes. The database is an essential resource for the development and testing of risk models and classification systems, modified as necessary for patient subgroups, which can then be introduced into clinical care to improve patient outcomes. It can also be used for large scale simulations to evaluate interventions.

Study Overview

Detailed Description

The aims and objectives of this database of depersonalised routinely collected hospital patient data are to:

  • Conduct epidemiological and observational studies of acute hospital care.
  • Develop and use algorithms and risk models to identify the deteriorating / sick adult so that interventions and enhanced care can be provided in a timelier manner with consequent resource and outcome improvements. This covers both the deteriorating inpatient at risk of adverse outcomes and people in the local community at risk of hospitalisation or in need of other health services.
  • Retrospectively evaluate interventions e.g. impact of system-wide clinical pathway introduction
  • Conduct simulations of clinical pathways

Study Type

Observational

Enrollment (Anticipated)

750000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Hampshire
      • Portsmouth, Hampshire, United Kingdom, PO6 3LY
        • Recruiting
        • Queen Alexandra Hospital
        • Contact:
          • Paul E Schmidt
        • Principal Investigator:
          • Paul E Schmidt

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

16 years and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

The research database will hold data on adults who are treated by Portsmouth Hospitals University National Health Service Trust (PHU), either as an outpatient, Accident and Emergency (A&E) attender, day case or inpatient or have investigations carried out by PHU services Adult patients are defined by the National Health Service (NHS) as individuals over 16 years old. Data on service contacts and use will only be included where the patient was more than 16 years old at that time. None of the data included in the Clinical Outcomes analyses are collected specifically for the purposes of research. All datasets are routinely collected clinical datasets, collected for clinical use and clinical audit.

Description

Inclusion Criteria:

  • Adult presenting at the acute hospital or receiving services from the hospital

Exclusion Criteria:

  • Adults who have registered an opt out of research with National Health Service (NHS) Digital
  • Adults who have contacted the hospital to ask that their records are not to be included in this study

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
In-hospital death
Time Frame: At 24 hours after an observation assessment or physiological measurement
Death during hospital admission
At 24 hours after an observation assessment or physiological measurement
In-hospital death
Time Frame: 30 days after admission
Death during hospital admission
30 days after admission
Unanticipated ICU admission
Time Frame: At 24 hours after an observation assessment or physiological measurement
Unanticipated ICU admission during hospital stay
At 24 hours after an observation assessment or physiological measurement
Unanticipated ICU admission
Time Frame: 30 days after admission
Unanticipated ICU admission during hospital stay
30 days after admission
Cardiac arrest
Time Frame: At 24 hours after an observation assessment or physiological measurement
Cardiac arrest during hospital stay
At 24 hours after an observation assessment or physiological measurement
Cardiac arrest
Time Frame: 30 days after admission
Cardiac arrest during hospital stay
30 days after admission

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnosis of Corona Virus Disease (COVID) infection
Time Frame: 48 hours after presentation
Diagnosis of COVID-19
48 hours after presentation
Diagnosis of Corona Virus Disease (COVID) infection
Time Frame: At 48 hours after an observation assessment or physiological measurement
Diagnosis of COVID-19
At 48 hours after an observation assessment or physiological measurement
Detection of Acute Organ Dysfunction
Time Frame: 24 hours after presentation
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
24 hours after presentation
Detection of Acute Organ Dysfunction
Time Frame: 48 hours after presentation
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
48 hours after presentation
Detection of Acute Organ Dysfunction
Time Frame: 72 hours after presentation
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
72 hours after presentation
Detection of Acute Organ Dysfunction
Time Frame: 1 week after presentation
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
1 week after presentation
Detection of Acute Organ Dysfunction
Time Frame: 30 days after presentation
Detection of acute organ dysfunction as measured by components of the Sequential Organ Failure Assessment (SOFA) Score
30 days after presentation

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Paul E Schmidt, MRCP, Portsmouth Hospitals University NHS Trust

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 19, 2021

Primary Completion (Anticipated)

April 1, 2026

Study Completion (Anticipated)

April 1, 2026

Study Registration Dates

First Submitted

June 23, 2021

First Submitted That Met QC Criteria

July 27, 2021

First Posted (Actual)

July 30, 2021

Study Record Updates

Last Update Posted (Actual)

April 7, 2023

Last Update Submitted That Met QC Criteria

April 6, 2023

Last Verified

April 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • PHU/2021/11

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

Bona fides United Kingdom (UK) researchers can make requests for access. They will be asked to detail their proposal in standard form which will be assessed by a Data Access Committee. Data will only be made available in a fully anonymous form and will be subject to a data sharing agreement.

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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