Torch

Ms Judith Dyson

Senior Lecturer Implementation Science

Faculty and Department

  • Faculty of Health Sciences
  • Health and Social Work

Journal Article

What are the patterns of compliance with Early Warning Track and Trigger Tools: A narrative review

Credland, N., Dyson, J., & Johnson, M. J. (2018). What are the patterns of compliance with Early Warning Track and Trigger Tools: A narrative review. Applied nursing research : ANR, 44, 39-47. https://doi.org/10.1016/j.apnr.2018.09.002

Barriers to hand hygiene practices among health care workers in sub-Saharan African countries: A narrative review

Ataiyero, Y., Dyson, J., & Graham, M. (2019). Barriers to hand hygiene practices among health care workers in sub-Saharan African countries: A narrative review. American Journal of Infection Control, 47(5), 565-573. https://doi.org/10.1016/j.ajic.2018.09.014

Development and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: A cross-sectional study

Faisal, M., Scally, A. J., Jackson, N., Richardson, D., Beatson, K., Howes, R., …Mohammed, M. A. (2018). Development and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: A cross-sectional study. BMJ open, 8(12), e022939. doi:10.1136/bmjopen-2018-022939

Effectiveness of interventions to support the early detection of skin cancer through skin self-examination: a systematic review and meta-analysis

Ersser, S., Effah, A., Dyson, J., Kellar, I., Thomas, S., McNichol, E., …Muinonen-Martin, A. (2019). Effectiveness of interventions to support the early detection of skin cancer through skin self-examination: a systematic review and meta-analysis. British journal of dermatology, 180(6), 1339-1347. https://doi.org/10.1111/bjd.17529

Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: qualitative study

Dyson, J., Marsh, C., Jackson, N., Richardson, D., Faisal, M., Scally, A. J., & Mohammed, M. (2019). Understanding and applying practitioner and patient views on the implementation of a novel automated Computer-Aided Risk Score (CARS) predicting the risk of death following emergency medical admission to hospital: qualitative study. BMJ open, 9(4), https://doi.org/10.1136/bmjopen-2018-026591

Research interests

Implementation Science, Behaviour Change