Research outputs
2026
A randomised feasibility trial of an intervention involving mental health support workers as link workers to improve dental visiting in people with severe mental illness: The Mouth Matters in Mental Health Study.
Palmier-Claus, J., Morris, A., French, P., Griffiths, R., Aggarwal, V., Berry, K., . . . Burnside, G. (2026). A randomised feasibility trial of an intervention involving mental health support workers as link workers to improve dental visiting in people with severe mental illness: The Mouth Matters in Mental Health Study.. Health and social care delivery research, 14(1), 1-14. doi:10.3310/gjjp0425
2023
A two-arm, randomised feasibility trial using link workers to improve dental visiting in people with severe mental illness: a protocol paper
Hilton, C., Morris, A., Burnside, G., Harris, R., Aggarwal, V. R., Procter, S., . . . Palmier-Claus, J. (2023). A two-arm, randomised feasibility trial using link workers to improve dental visiting in people with severe mental illness: a protocol paper. Pilot and Feasibility Studies, 9(1). doi:10.1186/s40814-023-01383-2
2022
2021
Improving the planning and monitoring of recruitment to clinical trials
Gkioni, E. (2021, June 15). Improving the planning and monitoring of recruitment to clinical trials.
Improving the planning and monitoring of recruitment to clinical trials
Gkioni, E. (2021, January 13). Improving the planning and monitoring of recruitment to clinical trials.
2020
Statistical models to predict recruitment in clinical trials were rarely used by statisticians in UK and European networks
Gkioni, E., Dodd, S., Rius, R., & Gamble, C. (2020). Statistical models to predict recruitment in clinical trials were rarely used by statisticians in UK and European networks. JOURNAL OF CLINICAL EPIDEMIOLOGY, 124, 58-68. doi:10.1016/j.jclinepi.2020.03.012
2019
A systematic review describes models for recruitment prediction at the design stage of a clinical trial
Gkioni, E., Rius, R., Dodd, S., & Gamble, C. (2019). A systematic review describes models for recruitment prediction at the design stage of a clinical trial. Journal of Clinical Epidemiology, 115, 141-149. doi:10.1016/j.jclinepi.2019.07.002
DIABRISK-SL trial: further consideration of age and impact of imputations
Gkioni, E., Glonti, K., Dodd, S., & Gamble, C. (2019). DIABRISK-SL trial: further consideration of age and impact of imputations. BMC MEDICINE, 17. doi:10.1186/s12916-019-1361-2
Prediction and monitoring of patient recruitment in clinical trials: gaps between current practice and available methodology
Gkioni, E., Dodd, S., Rius, R., & Gamble, C. (2019). Prediction and monitoring of patient recruitment in clinical trials: gaps between current practice and available methodology. In TRIALS Vol. 20. Retrieved from https://www.webofscience.com/
2017
Improving the planning and monitoring of recruitment to clinical trials
Gkioni, E., Rius, R., & Gamble, C. (2017). Improving the planning and monitoring of recruitment to clinical trials. In TRIALS Vol. 18. Retrieved from https://www.webofscience.com/