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)

Herrett, E; Tomlin, K; Lin, L-Y; 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

COVID-19 Collection

Journal article

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)

Abstract:: IntroductionThe impact of long COVID on health-related quality of-life (HRQoL) and productivity is not currently known. It is important to understand who is worst affected by long COVID and the cost to the National Health Service (NHS) and society, so that strategies like booster vaccines can be prioritised to the right people. OpenPROMPT aims to understand the impact of long COVID on HRQoL in adults attending English primary care.Methods and analysisWe will ask people to participate in this cohort study through a smartphone app (Airmid), and completing a series of questionnaires held within the app. Questionnaires will ask about HRQoL, productivity and symptoms of long COVID. Participants will be asked to fill in the questionnaires once a month, for 90 days. Questionnaire responses will be linked, where possible, to participants’ existing health records from primary care, secondary care, and COVID testing and vaccination data. Analysis will take place using the OpenSAFELY data platform and will estimate the impact of long COVID on HRQoL, productivity and cost to the NHS.Ethics and disseminationThe Proportionate Review Sub-Committee of the South Central—Berkshire B Research Ethics Committee has reviewed and approved the study and have agreed that we can ask people to take part (22/SC/0198). Our results will provide information to support long-term care, and make recommendations for prevention of long COVID in the future.Trial registration numberNCT05552612.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Herrett, E., Tomlin, K., Lin, L.-Y., Tomlinson, L. A., 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., … Eggo, R. M. M. (2023). 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, 13(2), e071261–e071261.

MLA Style

Herrett, E, et al. “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, vol. 13, no. 2, 2023, pp. e071261–e071261.

Chicago Style

Herrett, E, K Tomlin, L-Y Lin, et al. 2023. “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 13 (2): e071261–e071261.
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