Improving the care of patients with chest pain in the emergency department
| ISRCTN | ISRCTN41008456 |
|---|---|
| DOI | https://doi.org/10.1186/ISRCTN41008456 |
| ClinicalTrials.gov (NCT) | Nil known |
| Clinical Trials Information System (CTIS) | Nil known |
| Integrated Research Application System (IRAS) | 244799 |
| Protocol serial number | Qualitative Protocol - v4.0 Quantitative Protocol - v5.2, IRAS 244799, IRAS 263325 |
| Sponsor | University of Manchester |
| Funders | National Institute for Health Research, Royal College of Emergency Medicine, Research and Innovation Division, Manchester University NHS Foundation Trust |
- Submission date
- 07/12/2020
- Registration date
- 07/01/2021
- Last edited
- 28/02/2024
- Recruitment status
- No longer recruiting
- Overall study status
- Completed
- Condition category
- Circulatory System
Plain English summary of protocol
Background and study aims
We want to improve Manchester’s heart disease care (cardiovascular disease). Greater Manchester has one of the worst rates of heart disease for the United Kingdom, with double the national average for preventable heart disease deaths. The early warning signs for heart disease can be detected and treated enabling patients to live longer and healthier lives. This is where we believe the Emergency Department (ED) can improve, we already collect the vast majority of data required to detect these early warning signs. With more than 23.8 million attendances nationally last year, the ED is currently underusing a large amount of patient data of potentially great value to the population. We are exploring the best way to use this long term heart disease prediction; how to communicate it to patients, who prescribes the necessary medication, who issues lifestyle advice, and who follows it up.
The Troponin-only Manchester Acute Coronary Syndromes (T-MACS) decision aid allows clinicians to rapidly “rule out” the diagnosis of a heart attack when patients present to the Emergency Department with chest pain or similar symptoms.
The aim of this study is to collect historical data to improve the T-MACS tool and to interview patients and staff to investigate the best way to use it.
Who can participate?
The historical data collection will involve data of any patient who presented with chest pain to participating hospitals.
The interview part of the study will involve patients who attend the emergency department with chest pain. Clinical staff including: emergency medicine consultants, general practitioners, and nurses.
What does the study involve?
We will use machine learning techniques on the historical data to identify the best way to continually update T-MACS.
We will conduct semi-structured interviews made up of emergency medicine consultants, general practitioners, nurses, and patients. Then building on the knowledge gained from the initial interviews we plan to conduct four further semi-structured interviews of each aforementioned stakeholder group.
What are the possible benefits and risks of participating?
This trial only involves semi-structured interviews, and we do not believe that it will cover any topics likely to cause distress. Participants are offered a voucher to reimburse them for their time.
Where is the study run from?
Manchester University NHS Foundation Trust (UK)
When is the study starting and how long is it expected to run for?
September 2019 to April 2022
Who is funding the study?
National Institute for Health Research (NIHR) (UK)
Who is the main contact?
Dr Charles Reynard, charlie.reynard@manchester.ac.uk
Contact information
Scientific
Division of Cardiovascular Disease
Faculty of Biology, Medicine and Human Sciences
University of Manchester
Oxford Road
Manchester
M13 9PL
United Kingdom
 ORCID ID |
0000-0002-7534-2668 |
|---|---|
| Phone | +44 (0)161 306 6000 |
| charlie.reynard@manchester.ac.uk |
Study information
| Primary study design | Observational |
|---|---|
| Study design | Mixed methods multicentre retrospective observational cohort study and semi-structured interviews with a co-design methodology |
| Secondary study design | Cohort study |
| Study type | Participant information sheet |
| Scientific title | Advanced cardiovascular risk prediction in the acute care setting; a mixed methods study |
| Study objectives | Qualitative arm: To identify the opportunities and barriers to intervening and improving patients heart disease risk from the emergency department Quantitative arm: 1. To personalise and update an acute myocardial infarction diagnostic algorithm 2. To examine the prognostic ability of routinely collected data to predict long term cardiovascular outcomes |
| Ethics approval(s) | 1. Approved 07/12/2019, Welsh Research Ethics Committee number 7 (c/o Public Health Wales, Building 1, Jobswell Road, St David’s Park, SA31 3HB, UK; +44 (0)1267 61 1164; Wales.REC7@wales.nhs.uk), ref: 19/WA/0312 (Qualitative arm) 2. Approved 14/02/2020, Welsh Research Ethics Commitee number 7 (c/o Public Health Wales, Building 1, Jobswell Road, St David’s Park, SA31 3HB, UK; +44 (0)1267 61 1164; Wales.REC7@wales.nhs.uk), ref: 19/WA/0311 (Quantitative arm) 3. Approved 05/02/2020, Confidentiality Advisory Group (Skipton House, 80 London Road, London, SE1 6LH, UK; +44 (0)20 797 22557; HRA.CAG@nhs.net), ref: 19/CAG/0209 |
| Health condition(s) or problem(s) studied | Diagnosis and prevention of cardiovascular disease in patients presenting with chest pain to the emergency department |
| Intervention | Qualitative arm: The data collected will be used to create a series of prototype care pathways using a co-design methodology. The quantitative arm involves large prospectively collected databases which will analysed retrospectively. The data will be cross-linked with NHS Digital Hospital Episode Statistics databases. Quantitative arm: Data will be extracted from hospital sites and cross linked with national datasets. This dataset will then be analysed to update and personalise the acute myocardial infarction diagnostic algorithm. This dataset will also be used to assess the routinely collected emergency department data as prognostic factors for long term cardiovascular disease outcomes. Enrolled participants will be invited to two interviews each approximately 30 minutes in length. The first interview will explore the solutions and barriers to introducing a long term cardiovascular care pathway into the acute care setting. From this, a series of prototype pathways will be developed and then feedback sought on them in the second interviews. |
| Intervention type | Other |
| Primary outcome measure(s) |
Qualitative arm: |
| Key secondary outcome measure(s) |
There are no secondary outcome measures |
| Completion date | 01/04/2022 |
Eligibility
| Participant type(s) | Mixed |
|---|---|
| Age group | Adult |
| Sex | All |
| Target sample size at registration | 45040 |
| Key inclusion criteria | Qualitative arm: 1. Patients who have experienced chest pain, general practitioners, emergency medicine consultants, emergency department nurses Quantitative arm: 2. This will use historic data of patients with chest pain. It was collected by bespoke clinical data entry systems in real time |
| Key exclusion criteria | Qualitative arm: 1. The participants can not attend at least one of the semi-structured interviews 2. Not fluent in English language 3. The ambulatory ward patient’s clinical condition has deteriorated or is severe to the extent that participating in the research would (a) interfere in their clinical care, or (b) that participating would be too strenuous. This will be judged by the nursing staff on the ambulatory care unit, and the clinical academics interviewing the patients 4. Unwilling to take part Quantitative arm: 5. The study uses historic data. The United Kingdom's national opt service, a registry of patients who do not want their data used for research, will be applied to this data |
| Date of first enrolment | 15/09/2020 |
| Date of final enrolment | 30/07/2021 |
Locations
Countries of recruitment
- United Kingdom
- England
Study participating centres
Manchester
M13 9WL
United Kingdom
Haslingden Rd
Blackburn
BB2 3HH
United Kingdom
Results and Publications
| Individual participant data (IPD) Intention to share | No |
|---|---|
| IPD sharing plan summary | Data sharing statement to be made available at a later date |
| IPD sharing plan | The current data sharing plans for this study are unknown and will be available at a later date. |
Study outputs
| Output type | Details | Date created | Date added | Peer reviewed? | Patient-facing? |
|---|---|---|---|---|---|
| Protocol article | qualitative | 08/04/2022 | 11/04/2022 | Yes | No |
| Protocol article | quantitative | 07/10/2021 | 28/02/2024 | Yes | No |
| HRA research summary | 28/06/2023 | No | No | ||
| HRA research summary | 28/06/2023 | No | No | ||
| Participant information sheet | Participant information sheet | 11/11/2025 | 11/11/2025 | No | Yes |
Editorial Notes
28/02/2024: Publication reference added.
11/04/2022: Publication reference added.
09/12/2020: Trial’s existence confirmed by NHS HRA.
