PhD, BA, PGDip, FHEA
My primary research interest is in human-computer interaction, in particular the development and evaluation of complex digital interventions to support physical and psychological wellbeing across the lifespan. I use qualitative and participatory design methods to explore how people use (and don't use) technology in the wild.
My doctoral work focused on the potential of digital resources as a source of wellbeing support in first time pregnancy.
Within NDPCHS, my work largely focuses on the SuMMiT-D study where I am involved in the development and qualitative evaluation of mhealth resources to support medication adherence in people with type II diabetes.
I teach on the CEBM MSc in Evidence-Based Health Care (Critical appraisal of qualitative studies; Qualitative study design) and on the Advanced Qualitative Methods Course (Advanced data collection methods; Communicating your research); in addition, I teach Interdisciplinary Approaches to Digital Health Development and Evaluation at UCL.
Supporting people with type 2 diabetes in effective use of their medicine through mobile health technology integrated with clinical care (SuMMiT-D Feasibility): a randomised feasibility trial protocol
FARMER A. et al, (2019), BMJ Open
Bartlett YK. et al, (2019), PATIENT PREFERENCE AND ADHERENCE, 13, 1629 - 1640
Prabhakar AS. et al, (2019), Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems - CHI EA '19
Blandford A. et al, (2018), Digital Health
Examining the role of patients' experiences as a resource for choice and decision-making in health care: a creative, inter-disciplinary mixed method study in digital health
Ziebland S. et al, (2016), NIHR Journals library PGfAR