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Miss Roxanne Cooksey

Research Officer

Health Data Science

+44 (0) 1792 602221

r.cooksey@swansea.ac.uk

Basic Welsh Speaker

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0002-6763-9373

About

Primary research interests include arthritis and musculoskeletal conditions, health outcomes and healthy ageing. Interested in early detection of disease and improving access to treatment to improve quality of life. Use linked, routinely collected health data to follow patients prospectively and retrospectively through the health system. Former Research Fellow for the Welsh Arthritis Research Network and OMERACT Flare Working Group Fellow.

Areas Of Expertise

Arthritis and musculoskeletal conditions
Health outcomes research
Health ageing
Data linkage
Data analysis
Electronic health records

Publications

Research Highlights

Cooksey, R., Brophy, S., Kennedy, J., Gutierrez, F., Pickles, T., Davies, R., Piguet, V., & Choy, E. (2018). Cardiovascular risk factors predicting cardiac events are different in patients with rheumatoid arthritis, psoriatic arthritis and psoriasis. Seminars in Arthritis and Rheumatism, 48
https://doi.org/10.1016/j.semarthrit.2018.03.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39111
Brophy, S., Cooksey, R., Gravenor, M., Mistry, R., Thomas, N., Lyons, R., & Williams, R. (2009). Risk factors for childhood obesity at age 5: Analysis of the Millennium Cohort Study. BMC Public Health, 9(1), 467
https://doi.org/10.1186/1471-2458-9-467, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10460
Brophy, S., Cooksey, R., Gravenor, M., Weston, C., Gravenor, M., Brophy, S., Cooksey, R., & Lyons, R. (2010). Population based absolute and relative survival to 1 year of people with diabetes following a myocardial infarction: A cohort study using hospital admissions data. BMC Public Health 2010, 10, 338
https://doi.org/10.1186/1471-2458-10-338, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10197
Brophy, S., Cooksey, R., Atkinson, M., Zhou, S., Husain, M., Macey, S., Rahman, M., & Siebert, S. (2012). No Increased Rate of Acute Myocardial Infarction or Stroke Among Patients with Ankylosing Spondylitis—A Retrospective Cohort Study Using Routine Data. Seminars in Arthritis and Rheumatism
https://doi.org/10.1016/j.semarthrit.2012.02.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10987
Brophy, S., Davies, H., Dennis, M., Cooksey, R., Husain, M., Irvine, E., & Siebert, S. (2013). Fatigue in Ankylosing Spondylitis: Treatment Should Focus on Pain Management. Seminars in Arthritis and Rheumatism, 42(4), 361-367.
https://doi.org/10.1016/j.semarthrit.2012.06.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa11554
Davies, H., Brophy, S., Dennis, M., Cooksey, R., Irvine, E., & Siebert, S. (2013). Patient perspectives of managing fatigue in Ankylosing Spondylitis, and views on potential interventions: a qualitative study. BMC Musculoskeletal Disorders, 14(1)
https://doi.org/10.1186/1471-2474-14-163, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15432
Brophy, S., Cooksey, R., Lyons, R., Thomas, N., Rodgers, S., & Gravenor, M. (2011). Parental factors associated with walking to school and participation in organised activities at age 5: Analysis of the Millennium Cohort Study. BMC Public Health, 11(1)
https://doi.org/10.1186/1471-2458-11-14, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19446
Cooksey, R., Brophy, S., Dennis, M., Davies, H., Atkinson, M., Irvine, E., Siebert, S., Davies, H., Brophy, S., Dennis, M., Cooksey, R., & Atkinson, M. (2015). Severe flare as a predictor of poor outcome in ankylosing spondylitis: a cohort study using questionnaire and routine data linkage. Rheumatology
https://doi.org/10.1093/rheumatology/kev015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20778
Cooksey, R., Brophy, S., Gravenor, M., Brooks, C., Burrows, C., Siebert, S., Gravenor, M., Brophy, S., Brooks, C., & Cooksey, R. (2010). Frequency and characteristics of disease flares in ankylosing spondylitis. Rheumatology, 49(5), 929-932.
https://doi.org/10.1093/rheumatology/kep435, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23149
http://europepmc.org/abstract/med/20123954
Cooksey, R., Husain, M., Brophy, S., Davies, H., Rahman, M., Atkinson, M., Phillips, C., Siebert, S., Phillips, C., Davies, H., Brophy, S., Cooksey, R., & Atkinson, M. (2015). The Cost of Ankylosing Spondylitis in the UK Using Linked Routine and Patient-Reported Survey Data. PLOS ONE, 10(7), e0126105
https://doi.org/10.1371/journal.pone.0126105, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23317
http://europepmc.org/abstract/med/26185984
Marchant, E., Todd, C., Cooksey, R., Dredge, S., Jones, H., Reynolds, D., Stratton, G., Dwyer, R., Lyons, R., & Brophy, S. (2019). Curriculum-based outdoor learning for children aged 9-11: A qualitative analysis of pupils’ and teachers’ views. PLOS ONE, 14(5), e0212242
https://doi.org/10.1371/journal.pone.0212242, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50516
Husain, M., Brophy, S., Macey, S., Pinder, L., Atkinson, M., Cooksey, R., Phillips, C., & Siebert, S. (2012). HERALD (Health Economics using Routine Anonymised Linked Data). BMC Medical Informatics and Decision Making, 12(1)
https://doi.org/10.1186/1472-6947-12-24, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51525
Cooksey, R., Kennedy, J., Dennis, M., Escott-Price, V., Lyons, R., Seaborne, M., & Brophy, S. (2020). Proton pump inhibitors and dementia risk: Evidence from a cohort study using linked routinely collected national health data in Wales, UK. PLOS ONE, 15(9), e0237676
https://doi.org/10.1371/journal.pone.0237676, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55833
Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., Huo, L., & Zhou, S. (2021). Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework. Diagnostics, 11(10), 1908
https://doi.org/10.3390/diagnostics11101908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58381
Cooksey, R., Rahman, M., Kennedy, J., Brophy, S., & Choy, E. (2021). Biologic use in psoriatic arthritis and ankylosing spondylitis patients: a descriptive epidemiological study using linked, routine data in Wales, UK. Rheumatology Advances in Practice, 5(2), rkab042
https://doi.org/10.1093/rap/rkab042, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58661
Fernández-Gutiérrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., & Zhou, S. (2017). Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v1i1.86, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61658
Cooksey, R., Underwood, J., Brophy, S., Atkinson, M., Kennedy, J., & Choy, E. (2022). Shielding reduced incidence of COVID-19 in patients with inflammatory arthritis but vulnerability is associated with increased mortality. Rheumatology, 61(SI2), SI120-SI128.
https://doi.org/10.1093/rheumatology/keac283, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62372
Atkinson, M., Cooksey, R., Jones, J., & Brophy, S. (2023). The coding of telephone consultations in UK primary care databases: are we picking up all the calls?. BMC Research Notes, 16(1)
https://doi.org/10.1186/s13104-023-06325-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63441
http://dx.doi.org/10.1186/s13104-023-06325-y
Kennedy, J., Kennedy, T., Cooksey, R., Choy, E., Siebert, S., Rahman, M., & Brophy, S. (2023). Predicting a diagnosis of ankylosing spondylitis using primary care health records–A machine learning approach. PLOS ONE, 18(3), e0279076
https://doi.org/10.1371/journal.pone.0279076, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63908
http://dx.doi.org/10.1371/journal.pone.0279076
Cooksey, R., Kennedy, J., Rahman, M., Brophy, S., & Choy, E. (2025). The pattern of anti-IL-6 versus non-anti-IL-6 biologic disease modifying anti-rheumatic drugs use in patients with rheumatoid arthritis in Wales, UK: a real-world study using electronic health records. Rheumatology Advances in Practice, 9(1), rkae140
https://doi.org/10.1093/rap/rkae140, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa68589

All Research

Journal Articles

Cooksey, R., Kennedy, J., Rahman, M., Brophy, S., & Choy, E. (2025). The pattern of anti-IL-6 versus non-anti-IL-6 biologic disease modifying anti-rheumatic drugs use in patients with rheumatoid arthritis in Wales, UK: a real-world study using electronic health records. Rheumatology Advances in Practice, 9(1), rkae140
https://doi.org/10.1093/rap/rkae140, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa68589
Atkinson, M., Cooksey, R., Jones, J., & Brophy, S. (2023). The coding of telephone consultations in UK primary care databases: are we picking up all the calls?. BMC Research Notes, 16(1)
https://doi.org/10.1186/s13104-023-06325-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63441
http://dx.doi.org/10.1186/s13104-023-06325-y
Kennedy, J., Kennedy, T., Cooksey, R., Choy, E., Siebert, S., Rahman, M., & Brophy, S. (2023). Predicting a diagnosis of ankylosing spondylitis using primary care health records–A machine learning approach. PLOS ONE, 18(3), e0279076
https://doi.org/10.1371/journal.pone.0279076, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63908
http://dx.doi.org/10.1371/journal.pone.0279076
Cooksey, R., Underwood, J., Brophy, S., Atkinson, M., Kennedy, J., & Choy, E. (2022). Shielding reduced incidence of COVID-19 in patients with inflammatory arthritis but vulnerability is associated with increased mortality. Rheumatology, 61(SI2), SI120-SI128.
https://doi.org/10.1093/rheumatology/keac283, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62372
Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., Huo, L., & Zhou, S. (2021). Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework. Diagnostics, 11(10), 1908
https://doi.org/10.3390/diagnostics11101908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58381
Cooksey, R., Rahman, M., Kennedy, J., Brophy, S., & Choy, E. (2021). Biologic use in psoriatic arthritis and ankylosing spondylitis patients: a descriptive epidemiological study using linked, routine data in Wales, UK. Rheumatology Advances in Practice, 5(2), rkab042
https://doi.org/10.1093/rap/rkab042, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58661
Cooksey, R., Kennedy, J., Dennis, M., Escott-Price, V., Lyons, R., Seaborne, M., & Brophy, S. (2020). Proton pump inhibitors and dementia risk: Evidence from a cohort study using linked routinely collected national health data in Wales, UK. PLOS ONE, 15(9), e0237676
https://doi.org/10.1371/journal.pone.0237676, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55833
Marchant, E., Todd, C., Cooksey, R., Dredge, S., Jones, H., Reynolds, D., Stratton, G., Dwyer, R., Lyons, R., & Brophy, S. (2019). Curriculum-based outdoor learning for children aged 9-11: A qualitative analysis of pupils’ and teachers’ views. PLOS ONE, 14(5), e0212242
https://doi.org/10.1371/journal.pone.0212242, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50516
Cooksey, R., Brophy, S., Kennedy, J., Gutierrez, F., Pickles, T., Davies, R., Piguet, V., & Choy, E. (2018). Cardiovascular risk factors predicting cardiac events are different in patients with rheumatoid arthritis, psoriatic arthritis and psoriasis. Seminars in Arthritis and Rheumatism, 48
https://doi.org/10.1016/j.semarthrit.2018.03.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39111
Cooksey, R., Husain, M., Brophy, S., Davies, H., Rahman, M., Atkinson, M., Phillips, C., Siebert, S., Phillips, C., Davies, H., Brophy, S., Cooksey, R., & Atkinson, M. (2015). The Cost of Ankylosing Spondylitis in the UK Using Linked Routine and Patient-Reported Survey Data. PLOS ONE, 10(7), e0126105
https://doi.org/10.1371/journal.pone.0126105, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23317
http://europepmc.org/abstract/med/26185984
Cooksey, R., Brophy, S., Dennis, M., Davies, H., Atkinson, M., Irvine, E., Siebert, S., Davies, H., Brophy, S., Dennis, M., Cooksey, R., & Atkinson, M. (2015). Severe flare as a predictor of poor outcome in ankylosing spondylitis: a cohort study using questionnaire and routine data linkage. Rheumatology
https://doi.org/10.1093/rheumatology/kev015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20778
Davies, H., Brophy, S., Dennis, M., Cooksey, R., Irvine, E., & Siebert, S. (2013). Patient perspectives of managing fatigue in Ankylosing Spondylitis, and views on potential interventions: a qualitative study. BMC Musculoskeletal Disorders, 14(1)
https://doi.org/10.1186/1471-2474-14-163, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15432
Brophy, S., Davies, H., Dennis, M., Cooksey, R., Husain, M., Irvine, E., & Siebert, S. (2013). Fatigue in Ankylosing Spondylitis: Treatment Should Focus on Pain Management. Seminars in Arthritis and Rheumatism, 42(4), 361-367.
https://doi.org/10.1016/j.semarthrit.2012.06.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa11554
Brophy, S., Cooksey, R., Atkinson, M., Zhou, S., Husain, M., Macey, S., Rahman, M., & Siebert, S. (2012). No Increased Rate of Acute Myocardial Infarction or Stroke Among Patients with Ankylosing Spondylitis—A Retrospective Cohort Study Using Routine Data. Seminars in Arthritis and Rheumatism
https://doi.org/10.1016/j.semarthrit.2012.02.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10987
Husain, M., Brophy, S., Macey, S., Pinder, L., Atkinson, M., Cooksey, R., Phillips, C., & Siebert, S. (2012). HERALD (Health Economics using Routine Anonymised Linked Data). BMC Medical Informatics and Decision Making, 12(1)
https://doi.org/10.1186/1472-6947-12-24, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51525
Brophy, S., Cooksey, R., Lyons, R., Thomas, N., Rodgers, S., & Gravenor, M. (2011). Parental factors associated with walking to school and participation in organised activities at age 5: Analysis of the Millennium Cohort Study. BMC Public Health, 11(1)
https://doi.org/10.1186/1471-2458-11-14, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19446
Brophy, S., Cooksey, R., Gravenor, M., Weston, C., Gravenor, M., Brophy, S., Cooksey, R., & Lyons, R. (2010). Population based absolute and relative survival to 1 year of people with diabetes following a myocardial infarction: A cohort study using hospital admissions data. BMC Public Health 2010, 10, 338
https://doi.org/10.1186/1471-2458-10-338, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10197
Cooksey, R., Brophy, S., Gravenor, M., Brooks, C., Burrows, C., Siebert, S., Gravenor, M., Brophy, S., Brooks, C., & Cooksey, R. (2010). Frequency and characteristics of disease flares in ankylosing spondylitis. Rheumatology, 49(5), 929-932.
https://doi.org/10.1093/rheumatology/kep435, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23149
http://europepmc.org/abstract/med/20123954
Brophy, S., Cooksey, R., Gravenor, M., Mistry, R., Thomas, N., Lyons, R., & Williams, R. (2009). Risk factors for childhood obesity at age 5: Analysis of the Millennium Cohort Study. BMC Public Health, 9(1), 467
https://doi.org/10.1186/1471-2458-9-467, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10460

Conference Contributions

Fernández-Gutiérrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., & Zhou, S. (2017). Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v1i1.86, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61658

Miss Roxanne Cooksey

Telephone number

Email address

Welsh language proficiency

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