public health

Gunathilaka, N. J., Gooden, T. E., Cooper, J., Flanagan, S., Marshall, T., Haroon, S., et al. (2024). Perceptions on artificial intelligence-based decision-making for coexisting multiple long-term health conditions: protocol for a qualitative study with patients and healthcare professionals. Bmj Open, 14, e077156.
Beaney, T., Clarke, J., Woodcock, T., Majeed, A., Barahona, M., & Aylin, P. (2024). Effect of timeframes to define long term conditions and sociodemographic factors on prevalence of multimorbidity using disease code frequency in primary care electronic health records: retrospective study. Bmj Med, 3, e000474.
Rabe, A. P. J., Loke, W. J., Kalyani, R. N., Tummala, R., Stirnadel-Farrant, H. A., Were, J., & Winthrop, K. L. (2023). Impact of SARS-CoV-2 infection on patients with systemic lupus erythematosus in England prior to vaccination: a retrospective observational cohort study. Bmj Open, 13, e071072.
Parry, W., Fraser, C., Crellin, E., Hughes, J., Vestesson, E., & Clarke, G. M. (2023). Continuity of care and consultation mode in general practice: a cross-sectional and longitudinal study using patient-level and practice-level data from before and during the COVID-19 pandemic in England. Bmj Open, 13, e075152.
Dykxhoorn, J., Osborn, D., Walters, K., Kirkbride, J. B., Gnani, S., & Lazzarino, A. I. (2023). Temporal patterns in the recorded annual incidence of common mental disorders over two decades in the United Kingdom: a primary care cohort study. Psychol Med, 1-12.
Wu, J., Nadarajah, R., Nakao, Y. M., Nakao, K., Wilkinson, C., Cowan, J. C., et al. (2023). Temporal trends of cause-specific mortality after diagnosis of atrial fibrillation. Eur Heart J.
Douros, A., Ante, Z., Suissa, S., & Brassard, P. (2022). Common vaccines and the risk of incident dementia: a population-based cohort study. J Infect Dis.
Mizani, M. A., Dashtban, A., Pasea, L., Lai, A. G., Thygesen, J., Tomlinson, C., et al. (2022). Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study. J R Soc Med, 1410768221131897.
Simms-Williams, N., Nagakumar, P., Thayakaran, R., Adderley, N., Hotham, R., Mansur, A., et al. (2022). Preventing unscheduled hospitalisations from asthma: a retrospective cohort study using routine primary and secondary care data in the UK (The PUSH-Asthma Study)-protocol paper. Bmj Open, 12, e058356.
Mahadevan, P., Harley, M., Fordyce, S., Hodgson, S., Ghosh, R., Myles, P., et al. (2022). Completeness and representativeness of small area socioeconomic data linked with the UK Clinical Practice Research Datalink (CPRD). J Epidemiol Community Health.