TY - JOUR
AU - Henderson, Alasdair D.
AU - Carlile, Oliver
AU - Dillingham, Iain
AU - FC. Butler-Cole, Ben
AU - Tomlin, Keith
AU - Jit, Mark
AU - Tomlinson, Laurie A.
AU - Marks, Michael
AU - Briggs, Andrew
AU - Lin, Liang-Yu
AU - Bates, Chris J.
AU - Parry, John
AU - CJ. Bacon, Sebastian
AU - Goldacre, Ben
AU - Mehrkar, Amir
AU - Herrett, Emily
AU - Eggo, Rosalind M.
AU - The OpenSAFELY Collaborative
PY - 2023
DA - December
TI - Cohort profile: OpenPROMPT
JO - medRxiv
DO - https://doi.org/10.1101/2023.12.21.23300369
AB - 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.
PB - medRxiv
UR - https://eprints.gla.ac.uk/334108/
KW - Coronavirus (COVID-19)
ER