The dynamics of frailty development and progression in older adults in primary care in England (2006–2017): a retrospective cohort profile

• DOI: 10.1186/s12877-021-02684-y
• Publication Date: 2022-01-06T09:02:48Z
• Authors: Carole Fogg; Simon D. S. Fraser; Paul Roderick; Simon de Lusignan; Andrew Clegg; Sally Brailsford; Abigail Barkham; Harnish P. Patel; Vivienne Windle; Scott Harris; Shihua Zhu; Tracey England; Dave Evenden; Francesca Lambert; Bronagh Walsh
• Keywords: Frailty; Primary Health Care; Research; RC952-954.6; 610; Middle Aged; Primary care; Trajectories; Cohort Studies; 03 medical and health sciences; 0302 clinical medicine; England; Geriatrics; Adults; Humans; Female; Computer simulation modelling; Cohort study; Aged; Retrospective Studies

Abstract Background Frailty is a common condition in older adults and has major impact on patient outcomes service use. Information the prevalence middle-aged patterns of progression frailty at an individual population level scarce. To address this, cohort was defined from large primary care database England to describe epidemiology understand dynamics within individuals across population. This article describes structure dataset, characteristics planned analyses. Methods Retrospective study using electronic health records. Participants were aged ≥50 years registered practices contributing Oxford Royal College General Practitioners Research Surveillance Centre between 2006 2017. Data include GP practice details, sociodemographic clinical characteristics, twice-yearly Index (eFI), deaths, medication use secondary each year by age group, entry are described. Results The includes 2,177,656 patients, 15,552,946 person-years, 419 England. mean 61 years, 52.1% female, 77.6% lived urban environments. increased with age, affecting 10% 50–64 43.7% ≥65. long-term conditions specific deficits as did eFI severity categories. Conclusion A comprehensive understanding will inform predictions current future needs facilitate timely planning appropriate interventions, configurations workforce requirements. Analysis this large, nationally representative including participants capture earlier transitions enable detailed impact. These results novel simulation models which predict people living frailty. Study registration Registered www.clinicaltrials.gov October 25th 2019, NCT04139278 .