All Outputs (4)

Analgesic prescribing in patients with inflammatory arthritis in England: an observational study using electronic healthcare record data (2021)
Journal Article
Scott, I. C., Bailey, J., White, C. R., Mallen, C., & Muller, S. (2022). Analgesic prescribing in patients with inflammatory arthritis in England: an observational study using electronic healthcare record data. Rheumatology, 61(8), 3201–3211. https://doi.org/10.1093/rheumatology/keab870

OBJECTIVES: International data suggest inflammatory arthritis (IA) pain management frequently involves opioid prescribing, despite little evidence of efficacy, and potential harms. We evaluated analgesia prescribing in English National Health Service... Read More about Analgesic prescribing in patients with inflammatory arthritis in England: an observational study using electronic healthcare record data.

Comparison of risk factors for coronary event in people with unattributed and non-coronary chest pain: an electronic health record cohort study (2021)
Journal Article
Rathod-Mistry, T., Mamas, M., Bailey, J., Chen, Y., Clarson, L., Denaxas, S., …Jordan, K. (2021). Comparison of risk factors for coronary event in people with unattributed and non-coronary chest pain: an electronic health record cohort study. European Heart Journal, 42(S1), https://doi.org/10.1093/eurheartj/ehab724.1350

Background Patients presenting to primary care with chest pain are often not given a cause. Patients with such unattributed chest pain have an increased risk of future cardiovascular disease (CVD) compared to patients with diagnosed non-coronary che... Read More about Comparison of risk factors for coronary event in people with unattributed and non-coronary chest pain: an electronic health record cohort study.

338 Modelling the population distribution of patient-reported outcomes using electronic health records: a UK study (2021)
Journal Article
Yu, D., Jordan, K., Bailey, J., Peat, G., & Wilkie, R. (2021). 338 Modelling the population distribution of patient-reported outcomes using electronic health records: a UK study. International Journal of Epidemiology, 50(Supplement_1), https://doi.org/10.1093/ije/dyab168.739

Background Patient Reported Outcome Measures (PROM) collected in surveys allow understanding of the health at the population-level. We aimed to test the feasibility of estimating health status as measured by PROMs through ecological prediction model... Read More about 338 Modelling the population distribution of patient-reported outcomes using electronic health records: a UK study.

Estimating the population health burden of musculoskeletal conditions using primary care electronic health records (2021)
Journal Article
Yu, D., Peat, G., Jordan, K., Bailey, J., Prieto-Alhambra, D., Robinson, D., …Wilkie, R. (2021). Estimating the population health burden of musculoskeletal conditions using primary care electronic health records. Rheumatology, 60(10), 4832-4843. https://doi.org/10.1093/rheumatology/keab109

Objectives Better indicators from affordable, sustainable data sources are needed to monitor population burden of musculoskeletal conditions. We propose five indicators of musculoskeletal health and assessed if routinely available primary care elect... Read More about Estimating the population health burden of musculoskeletal conditions using primary care electronic health records.