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. http://doi.org/10.1136/bmjopen-2023-077156
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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. http://doi.org/10.1136/bmjmed-2022-000474
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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. http://doi.org/10.1136/bmjopen-2022-071072
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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. http://doi.org/10.1136/bmjopen-2023-075152
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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. http://doi.org/10.1017/s0033291723002349
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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. http://doi.org/10.1093/eurheartj/ehad571
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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. http://doi.org/10.1093/infdis/jiac484
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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. http://doi.org/10.1177/01410768221131897
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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. http://doi.org/10.1136/bmjopen-2021-058356
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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. http://doi.org/10.1136/jech-2022-219200
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