Cohort profile: OpenPROMPT - Repository

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: https://doi.org/10.1101/2023.12.21.23300369

Abstract

OpenPROMPT is a cohort of individuals with longitudinal patient reported questionnaire data and linked to routinely collected health data from primary and secondary care. Data were collected between November 2022 and October 2023 in England. OpenPROMPT was designed to measure the impact of long COVID on health-related quality-of-life (HRQoL). With the approval of NHS England we collected responses from 7,574 individuals, with detailed questionnaire responses from 6,337 individuals who responded using a smartphone app. Data were collected from each participant over 90 days at 30-day intervals using questionnaires to ask about HRQoL, productivity and symptoms of long COVID. Responses from the majority of OpenPROMPT (6,006; 79.3%) were linked to participants’ existing health records from primary care, secondary care, COVID-19 testing and vaccination data. Analysis takes place using the OpenSAFELY data analysis platform which provides a secure software interface allowing the analysis of pseudonymized primary care patient records from England. OpenPROMPT can currently be used to estimate the impact of long COVID on HRQoL, and because of the linkage within OpenSAFELY, the data from OpenPROMPT can be used to enrich routinely collected records in further research by approved researchers on behalf of NHS England.

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The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license. http://creativecommons.org/licenses/by/4.0/

Cite as

Henderson, A., Carlile, O., Dillingham, I., FC Butler-Cole, B., Tomlin, K., Jit, M., Tomlinson, L., Marks, M., Briggs, A., Lin, L., Bates, C., Parry, J., CJ Bacon, S., Goldacre, B., Mehrkar, A., Herrett, E., Eggo, R. & The OpenSAFELY Collaborative 2023, 'Cohort profile: OpenPROMPT'. To be published in medRxiv [Preprint]. Available at: https://doi.org/10.1101/2023.12.21.23300369

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DOI: https://doi.org/10.1101/2023.12.21.23300369

Repository URI: https://eprints.gla.ac.uk/334108/