Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
7574 participants
OBSERVATIONAL
2022-09-26
2023-12-31
Brief Summary
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Aim: OpenPROMPT aims to understand the impact of long COVID on quality-of-life in adults in English primary care.
Methods: We will ask people to participate in the study by downloading a smartphone app, and completing a series of questionnaires held within the app. Questionnaires will ask about quality of life, productivity and symptoms of long COVID. Participants will be asked to fill in the questionnaires once a month, for four months. Electronic reminders will be sent to participants to ask them to complete the questionnaires, which will take roughly 15 minutes to complete each month. Participants will also be asked to give consent for linkage of their questionnaire responses to their existing health records.
The results will tell us if long COVID has different quality-of-life and economic impacts among people of different ages, ethnicities, geographic regions, or because of any underlying health conditions. These results can be converted into standardised measurements used by the NHS to measure the impact of illnesses and the cost of long COVID to health services.
Impact: Together with other researchers studying long COVID, we will provide results to support long-term care, and make recommendations for prevention of long COVID in the future. At all stages we will ensure that the input of patients and the public is central to running the study and interpreting the outputs.
Funding: OpenPROMPT is a collaboration between the London School of Hygiene and Tropical Medicine, the OpenSAFELY patient data platform at the University of Oxford, and TPP (which supplies clinical software to General Practices (GPs) in the UK). The project is funded by the National Institute for Health Research.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Long COVID
Patients with Long COVID
No interventions assigned to this group
Without Long COVID
Patients who do not have Long COVID
No interventions assigned to this group
Eligibility Criteria
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Exclusion Criteria
* Patients under 18 years old;
* Patients who do not have a smartphone or cannot download or log in to the Airmid app;
* Patients who cannot understand English.
18 Years
ALL
Yes
Sponsors
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University of Oxford
OTHER
London School of Hygiene and Tropical Medicine
OTHER
Responsible Party
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Emily Herrett
Co-Principal Investigator
Principal Investigators
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Rosalind Eggo, PhD
Role: PRINCIPAL_INVESTIGATOR
London School of Hygiene and Tropical Medicine
Locations
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London School of Hygiene and Tropical Medicine
London, , United Kingdom
Countries
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References
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Herrett E, Tomlin K, Lin LY, Tomlinson LA, Jit M, Briggs A, Marks M, Sandmann F, Parry J, Bates C, Morley J, Bacon S, Butler-Cole B, Mahalingasivam V, Dennison A, Smith D, Gabriel E, Mehrkar A, Goldacre B, Smeeth L, Eggo RMM. Protocol for an OpenSAFELY cohort study collecting patient-reported outcome measures using the TPP Airmid smartphone application and linked big data to quantify the health and economic costs of long COVID (OpenPROMPT). BMJ Open. 2023 Feb 17;13(2):e071261. doi: 10.1136/bmjopen-2022-071261.
Other Identifiers
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2022-KEP-799
Identifier Type: -
Identifier Source: org_study_id
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