Dr Rhiannon Owen

Research Highlights

1. Agrawal, U., Bedston, S., McCowan, C., Oke, J., Patterson, L., Robertson, C., Akbari, A., Azcoaga-Lorenzo, A., Bradley, D., Fagbamigbe, A., Grange, Z., Hall, E., Joy, M., Katikireddi, S., Kerr, S., Ritchie, L., Murphy, S., Owen, R., Rudan, I...., & Sheikh, A. (2022). Severe COVID-19 outcomes after full vaccination of primary schedule and initial boosters: pooled analysis of national prospective cohort studies of 30 million individuals in England, Northern Ireland, Scotland, and Wales. The Lancet, 400(10360), 1305-1320.

   https://doi.org/10.1016/s0140-6736(22)01656-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61579
2. Torabi, F., Bedston, S., Lowthian, E., Akbari, A., Owen, R., Bradley, D., Agrawal, U., Collins, P., Fry, R., Griffiths, L., Beggs, J., Davies, G., Hollinghurst, J., Lyons, J., Abbasizanjani, H., Cottrell, S., Perry, M., Roberts, R., Azcoaga-Lorenzo, A...., & Lyons, R. (2022). Risk of thrombocytopenic, haemorrhagic and thromboembolic disorders following COVID-19 vaccination and positive test: a self-controlled case series analysis in Wales. Scientific Reports, 12(1)

   https://doi.org/10.1038/s41598-022-20118-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61394
3. Lowthian, E., Bedston, S., Akbari, A., Fry, R., Huxley, K., Johnson, R., Kristensen, S., Owen, R., Taylor, C., & Griffiths, L. (2022). Maternal mental health and children’s development: a bi-directional relationship?. In International Journal of Population Data ScienceSwansea University.

   https://doi.org/10.23889/ijpds.v7i3.1936, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61244
4. Owen, R., Lyons, J., Akbari, A., Davies, G., Griffiths, R., Torabi, F., & Lyons, R. (2022). Direct and indirect effects of the COVID-19 pandemic on mortality: an individual-level population-scale analysis.. International Journal of Population Data Science, 7(3)

   https://doi.org/10.23889/ijpds.v7i3.1922, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61241
5. Akbari, A., Bedston, S., Abbasizanjani, H., Davies, G., Fry, R., Lowthian, E., Lyons, J., Owen, R., Torabi, F., Khunti, K., & Lyons, R. (2022). Developing a population-scale harmonised ethnicity-spine in Wales.. In International Journal of Population Data ScienceSwansea University.

   https://doi.org/10.23889/ijpds.v7i3.1930, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61240
6. Delanerolle, G., Williams, R., Stipancic, A., Byford, R., Forbes, A., Tsang, R., Anand, S., Bradley, D., Murphy, S., Akbari, A., Bedston, S., Lyons, R., Owen, R., Torabi, F., Beggs, J., Chuter, A., Balharry, D., Joy, M., Sheikh, A...., & Lusignan, S. (2022). Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom. JMIR Formative Research, 6(8), e37821

   https://doi.org/10.2196/37821, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60874
7. Umemneku-Chikere, C., Ayodele, O., Soares, M., Khan, S., Abrams, K., Owen, R., & Bujkiewicz, S. (2022). Comparative review of pharmacological therapies in individuals with HER2-positive advanced breast cancer with focus on hormone receptor subgroups. Frontiers in Oncology, 12

   https://doi.org/10.3389/fonc.2022.943154, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60626
8. Murphy, S., O'Reilly, D., Owen, R., Akbari, A., Lowthian, E., Bedston, S., Torabi, F., Beggs, J., Chuter, A., Lusignan, S., Hobbs, R., Robertson, C., Katikireddi, S., Sheikh, A., & Bradley, D. (2022). Variations in COVID-19 vaccination uptake among people in receipt of psychotropic drugs: cross-sectional analysis of a national population-based prospective cohort. The British Journal of Psychiatry, 221(1), 417-424.

   https://doi.org/10.1192/bjp.2022.36, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59519
9. Maynou, L., Owen, R., Konstant-Hambling, R., Imam, T., Arkill, S., Bertfield, D., Street, A., Abrams, K., & Conroy, S. (2022). The association between frailty risk and COVID-19-associated all-mortality in hospitalised older people: a national cohort study. European Geriatric Medicine, 13, 1149-1157.

   https://doi.org/10.1007/s41999-022-00668-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60326
10. Owen, R., Lyons, J., Akbari, A., Guthrie, B., Agrawal, U., Alexander, D., Azcoaga-Lorenzo, A., Brookes, A., Denaxas, S., Dezateux, C., Fagbamigbe, A., Harper, G., Kirk, P., Özyiğit, E., Richardson, S., Staniszewska, S., McCowan, C., Lyons, R., & Abrams, K. (2022). Temporal sequencing in multimorbidity using population-scale linked data for 1.7 million individuals with 20-year follow-up. Research Square

    https://doi.org/10.21203/rs.3.rs-1537576/v1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59879
11. Delanerolle, G., Williams, R., Stipancic, A., Byford, R., Forbes, A., Anand, S., Bradley, D., Tsang, R., Murphy, S., Akbari, A., Bedston, S., Lyons, R., Owen, R., Beggs, J., Chuter, A., Balharry, D., Joy, M., Sheikh, A., Hobbs, F., & Lusignan, S. (2022). Methodological issues for using a common data model (CDM) of COVID-19 vaccine uptake and important adverse events of interest (AEIs): the Data and Connectivity COVID-19 Vaccines Pharmacovigilance (DaC-VaP) United Kingdom feasibility study. (Preprint). JMIR Formative Research

    https://doi.org/10.2196/preprints.37821, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59635
12. Kerr, S., Joy, M., Torabi, F., Bedston, S., Akbari, A., Agrawal, U., Beggs, J., Bradley, D., Chuter, A., Docherty, A., Ford, D., Hobbs, R., Katikireddi, S., Lowthian, E., Lusignan, S., Lyons, R., Marple, J., McCowan, C., McGagh, D...., & Sheikh, A. (2022). First dose ChAdOx1 and BNT162b2 COVID-19 vaccinations and cerebral venous sinus thrombosis: A pooled self-controlled case series study of 11.6 million individuals in England, Scotland, and Wales. PLOS Medicine, 19(2), e1003927

    https://doi.org/10.1371/journal.pmed.1003927, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60273
13. Bedston, S., Akbari, A., Jarvis, C., Lowthian, E., Torabi, F., North, L., Lyons, J., Perry, M., Griffiths, L., Owen, R., Beggs, J., Chuter, A., Bradley, D., Lusignan, S., Fry, R., Hobbs, F., Hollinghurst, J., Katikireddi, S., Murphy, S...., & Lyons, R. (2022). COVID-19 vaccine uptake, effectiveness, and waning in 82,959 health care workers: A national prospective cohort study in Wales. Vaccine, 40(8), 1180-1189.

    https://doi.org/10.1016/j.vaccine.2021.11.061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59218
14. Taylor-Rowan, M., Nafisi, S., Owen, R., Duffy, R., Patel, A., Burton, J., & Quinn, T. (2021). Informant-based screening tools for dementia: an overview of systematic reviews. Psychological Medicine, 0, 1-10.

    https://doi.org/10.1017/s0033291721002002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57119
15. Owen, R., Conroy, S., Taub, N., Jones, W., Bryden, D., Pareek, M., Faull, C., Abrams, K., Davis, D., & Banerjee, J. (2021). Comparing associations between frailty and mortality in hospitalised older adults with or without COVID-19 infection: a retrospective observational study using electronic health records. Age and Ageing, 50(2), 307-316.

    https://doi.org/10.1093/ageing/afaa167, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60666
16. Lyons, J., Akbari, A., Agrawal, U., Harper, G., Azcoaga-Lorenzo, A., Bailey, R., Rafferty, J., Watkins, A., Fry, R., McCowan, C., Dezateux, C., Robson, J., Peek, N., Holmes, C., Owen, R., Owen, R., Abrams, K., John, A., O'Reilly, D...., & Lyons, R. (2021). Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity. BMJ Open, 11(1), e047101

    https://doi.org/10.1136/bmjopen-2020-047101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56103
17. Owen, R., Bujkiewicz, S., Tincello, D., & Abrams, K. (2020). Multivariate network meta-analysis incorporating class effects. BMC Medical Research Methodology, 20(1)

    https://doi.org/10.1186/s12874-020-01025-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60667
18. Owen, R., Bradbury, N., Xin, Y., Cooper, N., & Sutton, A. (2019). MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta. Research Synthesis Methods, 10(4), 569-581.

    https://doi.org/10.1002/jrsm.1373, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60669
19. Owen, R., Cooper, N., Quinn, T., Lees, R., & Sutton, A. (2018). Network meta-analysis of diagnostic test accuracy studies identifies and ranks the optimal diagnostic tests and thresholds for health care policy and decision-making. Journal of Clinical Epidemiology, 99, 64-74.

    https://doi.org/10.1016/j.jclinepi.2018.03.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60670
20. Owen, R., Abrams, K., Mayne, C., Slack, M., & Tincello, D. (2017). Comparison of the effectiveness of repeated injections of onabotulinum toxin A for refractory idiopathic detrusor overactivity: analysis of an open label extension of a randomized trial (the RELAX study). Neurourology and Urodynamics, 36(4), 1201-1207.

    https://doi.org/10.1002/nau.23095, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60671
21. Owen, R., Abrams, K., Mayne, C., Slack, M., & Tincello, D. (2017). Patient factors associated with onabotulinum toxin A treatment outcome in women with detrusor overactivity. Neurourology and Urodynamics, 36(2), 426-431.

    https://doi.org/10.1002/nau.22948, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60672
22. Owen, R., Tincello, D., & Keith, R. (2015). Network Meta-Analysis: Development of a Three-Level Hierarchical Modeling Approach Incorporating Dose-Related Constraints. Value in Health, 18(1), 116-126.

    https://doi.org/10.1016/j.jval.2014.10.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60673
23. Tincello, D., Owen, R., Slack, M., & Abrams, K. (2013). Validation of the Patient Global Impression scales for use in detrusor overactivity: secondary analysis of the RELAX study. BJOG: An International Journal of Obstetrics & Gynaecology, 120(2), 212-216.

    https://doi.org/10.1111/1471-0528.12069, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60674
24. Akbari, A., Torabi, F., Bedston, S., Lowthian, E., Abbasizanjani, H., Fry, R., Lyons, J., Owen, R., Khunti, K., & Lyons, R. (n.d.) Developing a research ready population-scale linked data ethnicity-spine in Wales. medRxiv

    https://doi.org/10.1101/2022.11.28.22282810, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62091
25. Owen, R., Lyons, J., Akbari, A., Lyons, R., & Abrams, K. (2022). RWD115 Modelling the Effect of Multi-Indication Treatment in Patients With Multimorbidity Using Population-Scale Linked Electronic Health Records for Healthcare Policy and Decision-Making. Value in Health, 25(12), S471

    https://doi.org/10.1016/j.jval.2022.09.2340, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62208
26. Fagbamigbe, A., Agrawal, U., Azcoaga-Lorenzo, A., MacKerron, B., Özyiğit, E., Alexander, D., Akbari, A., Owen, R., Lyons, J., Lyons, R., Denaxas, S., Kirk, P., Miller, A., Harper, G., Dezateux, C., Anthony, B., Richardson, S., Nirantharakumar, K., Guthrie, B...., & McCowan, C. (n.d.) Clustering Long-Term Health Conditions Among 67728 People with Multimorbidity Using Electronic Health Records in Scotland. SSRN Electronic Journal

    https://doi.org/10.2139/ssrn.4307695, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62218
27. Bedston, S., Lowthian, E., Jarvis, C., Akbari, A., Beggs, J., Bradley, D., Lusignan, S., Griffiths, R., Herbert, L., Hobbs, R., Kerr, S., Lyons, J., Midgley, W., Owen, R., Quint, J., Tsang, R., Torabi, F., Sheikh, A., & Lyons, R. (2023). COVID-19 booster vaccination uptake and infection breakthrough amongst health care workers in Wales: A national prospective cohort study. Vaccine, 41(7), 1378-1389.

    https://doi.org/10.1016/j.vaccine.2023.01.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62336
28. Tsang, R., Joy, M., Byford, R., Robertson, C., Anand, S., Hinton, W., Mayor, N., Kar, D., Williams, J., Victor, W., Akbari, A., Bradley, D., Murphy, S., O’Reilly, D., Owen, R., Chuter, A., Beggs, J., Howsam, G., Sheikh, A...., & Lusignan, S. (2023). Adverse events following first and second dose COVID-19 vaccination in England, October 2020 to September 2021: a national vaccine surveillance platform self-controlled case series study. Eurosurveillance, 28(3)

    https://doi.org/10.2807/1560-7917.es.2023.28.3.2200195, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62389

All Research

• Phase two prospective observational single blind multi-site performance evaluation trial of serum Raman spectroscopy in the assessment of FIT-positive bowel screening population. (COLOSPECT) (current)

  MD

  Other supervisor: Prof Peter Dunstan

• Bayesian evidence synthesis methods for multiple diagnostic tests: application to Alzheimer's disease dementia (current)

  PhD

  Other supervisor: Dr Rich Fry

• Screening of head and neck cancer patients using Raman spectroscopy (current)

  MPhil

  Other supervisor: Prof Peter Dunstan

• PM-344 Capstone Project

  The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project. The project may be laboratory or non-laboratory based, but it will always involve a research question that is drawn from the literature, and focused on a topic relevant to the life sciences. It will ask a novel research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through creating an introductory presentation on the project background, and a written dissertation and oral presentation on their research conclusions.

• PMRM02 Data Analysis for Health and Medical Sciences

  In this digital age where the quantity and complexity of health and medical data is rapidly expanding, statistical analysis and data science are at the forefront of decision making. This module discusses the fundamental role data analysis plays in health and medical related applications, and will introduce commonly used statistical and modelling approaches to address real problems arising in health and social care, including the analysis of large datasets and bioinformatics.

• Developing statistical methods to improve the diagnosis and care of hospitalised patients with COVID- 19. 2021 - 2023

  Academy of Medical Science (AMS) Springboard Award, £100,000

• Novel approaches of multi-parameter evidence synthesis and decision modelling for efficient evaluation of diagnostic health technologies. 2020 - 2023

  MRC Methodology Research, with Bujkiewicz S., Owen R.K., Abrams K., Quinn T., Tappenden P., Cooper K., £450,000

• Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Burdensome Mid-life Multimorbidity (MELD-B). 2022 - 2024

  National Institute for Health Research (NIHR), with Fraser S., Alwan N., Boniface M., et al., £2,200,000

• How can routine linkage of medicines to health care outcomes enable a better understanding of the direct and indirect effects on COVID-19 on clinical pathways 2021 - 2022

  Health Data Research UK (HDRUK), with Sofat R., Yates J., Pirmohamed M., Dale C., et al., £242,000

• What is the uptake, safety and effectiveness of COVID-19 vaccines in: a. pregnancy; b. children and young people; c. those receiving booster doses; d. those co-administered COVID-19 and influenza vaccines? 2021 - 2022

  Health Data Research UK (HDRUK), with Sheikh A., Robertson C., de Lusignan S., Hobbs R., et al., £250,000

• Measuring & Understanding Multimorbidity using Routine Data in the UK (MUrMuR-UK 2019 - 2021

  Health Data Research UK (HDRUK), with McCowan C., Lyons R., Guthrie B, et al., £1,000,000

• Evaluation of interventions for Overactive Bladder and Detrusor Overactivity: Development and application of evidence synthesis methods for extensive treatment networks. 2013 - 2017

  Y Sefydliad Cenedlaethol dros Ymchwil Iechyd (NIHR), with Owen R.K., Tincello D.G., Bujkiewicz S., Abrams K.R, £247,000

• NIHR Research Methodology Fellowship in Health Technology Assessment 2011 - 2013

  National Institute for Health Research (NIHR), with Owen R.K., Tincello D.G., Abrams K.R.,, £95,000

• Associate Professor of Statistics, Swansea University Medical School, UK.

  March 2021 - Present

• Associate Professor in Biostatistics, University of Leicester, UK

  August 2020 - December 2020

• Lecturer in Biostatistics, University of Leicester, UK.

  March 2018 - August 2020

• Research Associate, University of Leicester, UK

  January 2016 - March 2018

• NIHR Research Methods Fellow, University of Leicester, UK

  October 2013 - March 2017

• NIHR Research Methods Fellow, University of Leicester, UK

  October 2011 - October 2013

• Honorary Senior Lecturer, University of Bristol

  2021 - 2023

• Committee Member, Health Technology Assessment Specialist, NICE Technology Appraisal Committee

  2020 - Present

• Methodological Challenges in Research on Physical-Mental Health Multimorbidity Conference

  February 2022

  Edinburgh, UK

• Worlds Laureates Forum (WLF)

  November 2021

  Shanghai, China.

• Health Data Research (HDR) UK Scientific Conference – Data Insights in a Pandemic International Virtual Conference

  June 2021

  London, UK

• Health Technology Assessment International (HTAi)

  June 2020

  Beijing, China